Show HN: Ouijit, an open-source task and terminal manager for coding agents https://ift.tt/hRip5Qz

Show HN: Ouijit, an open-source task and terminal manager for coding agents Hi HN, I’m working on Ouijit. It’s a project and task-based terminal session manager that provides a few basic but useful tools for agent workflows: - Terminal sessions in Ouijit have access to the ouijit CLI, and supported agents (Claude, Codex, Pi) can work with it out of the box to manage tasks and customize a personal development workflow - Tasks live on a kanban board that supports hooks for task lifecycle events (eg. ‘Run this script when a task moves to ‘in progress’) I’ve found this simple combination to be very expressive and flexible for adapting to changing workflows. I made the V1 a couple months ago for fun, and have kept at it since a friend shared they had logged an 8 hour work session in it. Along the way I’ve baked in lots of what I believe are table-stakes for this type of tool, like task isolation via Git worktrees, agent working/idle status with sound and notifications, diff/markdown plan/URL previews, and support for VM sandboxing using Lima. It’s free and open source with no login or telemetry, so feedback is highly appreciated. Github: https://ift.tt/3ES5rqM Website: https://ouijit.com https://ouijit.com/ May 31, 2026 at 12:29PM

Show HN: Agentpack – isolated config layers for Claude Code, Codex, and OpenCode https://ift.tt/y62CPjY

Show HN: Agentpack – isolated config layers for Claude Code, Codex, and OpenCode https://ift.tt/Gr6WDEX May 31, 2026 at 10:32AM

Show HN: Use Chrome DevTools Protocol to Control WinForm/MFC Apps https://ift.tt/nQwkAlP

Show HN: Use Chrome DevTools Protocol to Control WinForm/MFC Apps https://ift.tt/L8BGEiX May 31, 2026 at 10:15AM

Show HN: Atomic Editor – Obsidian-style live preview for CodeMirror 6 https://ift.tt/8UG1u2E

Show HN: Atomic Editor – Obsidian-style live preview for CodeMirror 6 https://kenforthewin.github.io/atomic-editor/ May 31, 2026 at 08:32AM

Show HN: Stable Audio 3 – one-shot sample generator (110gb download) https://ift.tt/zsD0cqg

Show HN: Stable Audio 3 – one-shot sample generator (110gb download) https://ift.tt/7zlgqvB May 31, 2026 at 09:05AM

Show HN: The Tired Engineer https://ift.tt/oWsgFpY

Show HN: The Tired Engineer https://ift.tt/3bxdvSX May 31, 2026 at 07:37AM

Show HN: Free cloud-based tool for managing AI agents across multiple hosts https://ift.tt/TE0urPq

Show HN: Free cloud-based tool for managing AI agents across multiple hosts https://nodecartel.com/ May 31, 2026 at 07:08AM

Show HN: Community Ninja – Find customers searching for your product https://ift.tt/1tHAohv

Show HN: Community Ninja – Find customers searching for your product https://ift.tt/aDBv9VW May 30, 2026 at 12:57PM

Show HN: Ego lite – why our browser agent writes JavaScript not CLI commands https://ift.tt/eP1YRbz

Show HN: Ego lite – why our browser agent writes JavaScript not CLI commands https://ift.tt/TLKuChZ May 30, 2026 at 12:03PM

Show HN: Jynx, a matchmaking app to find gaming teammates https://ift.tt/LTwgPyQ

Show HN: Jynx, a matchmaking app to find gaming teammates TL;DR: Jynx is a gaming social platform that matches you with compatible teammates based on skill level, play style and schedule. Swipe to find players (Tinder-style), create or join game sessions (LFG), chat, and build your squad. 214k lines of Dart, 23 feature modules, built entirely with Claude Code as my entry into agentic engineering. Live on App Store and Play Store: https://ift.tt/CLJx2eG https://ift.tt/3sEkrLS... --- Hi HN, long time lurker, first time poster, be gentle. Developer by day, vibe coder by night: Jynx is the project I used to ease into agentic engineering. AI talks are mitigated, at best. But I'll talk about my experience here. Forgive my erratic style, it is what it is. Working with Claude from the very beginning, it's been a blast. I had the "chance" to have the time necessary to learn and use AI a lot. Lots of different techniques that quickly became completely obsolete today. Without LLMs, it would have been extremely hard to have the same app than I have today. I used Flutter (Dart) to avoid having to dev and maintain two codebases. It is not a language I knew. Learning the language first would have severely hindered the process. For me, from copy/paste to using MCP then Roo Code, then Claude Code was an ecstatic process. I always loved having ideas but the time it would take me to build the thing and test it always felt too long. Not anymore. So we carefully designed, iterated and implemented the two codebases for Jynx. One for the flutter app, one for the firebase backend. I chose Firebase to avoid having to maintain a server and be able to focus on the UI/UX of the app. We started thinking about it in December 2024 and started devs early 2025; not working on it full time at all. We really poured our heart into it and we truly tried to make it as secure as possible. Even though we mean business, it is a passion project. By using the excuse of learning agentic flows, I took the time to inspect each aspects of the app's systems thoroughly. Tech stack: - Flutter 3.41 / Dart 3.11 (single codebase, iOS + Android) - Firebase (Firestore, Cloud Functions in TypeScript, Auth, Storage, FCM) - Riverpod 3.1 + Freezed + json_serializable for state management & immutable models - Drift for encrypted local SQLite caching (offline-first architecture to optimize Firebase costs) - Clean Architecture with feature modules and mixin-based repositories - Sentry + Firebase Crashlytics for production error reporting - Freerasp for runtime app self-protection (tamper detection, root/jailbreak) Agentic engineering artifacts: - Claude Code (Claude + GLM) as primary coding agent - 22 hooks, 18 skills, 13 instincts, 8 rule files, custom subagents, slash commands, MCP servers and plugins (instincts system from Affaan's https://ift.tt/hYZFqj6 ) - GitNexus - MemPalace for persistent context across sessions Stats: 1,239 Dart files, 214k lines of code (excluding generated boilerplate), 30k lines of comments across the Flutter codebase. I made a detailed cheatsheet document about my whole setup if you want it. I could post it or you DM me. If you have questions, ask away, I'll gladly answer. Test it and tell me what you think of it honestly, I won't get offended! Take care, Antoine https://jynx.app/ May 30, 2026 at 09:45AM

Show HN: Helios – what plug-in solar could generate for any address in Britain https://ift.tt/SVsL7Kb

Show HN: Helios – what plug-in solar could generate for any address in Britain Plug-in solar panels (no electrician needed) have just become legal in the UK and will go on sale soon. Helios estimates how much electricity a typical installation could generate at a given address and what that's worth against your tariff. It uses UK government LIDAR data to reflect the actual skyline, so it knows whether there's a building or a hill blocking the sun. Caveats: - Outside LIDAR coverage (most of Scotland and Wales) it falls back to a synthetic horizon (less accurate). - Trees and recent developments (post-2022 or so) may not be in the data, and some address placements could be off (geocoding via OSM). Feedback on the shading model especially welcome. https://ift.tt/0Gs9KDW May 30, 2026 at 07:08AM

Show HN: Gaia Atlas – Local Stellar Map https://ift.tt/e3QMLtZ

Show HN: Gaia Atlas – Local Stellar Map Hi there! I made the fan-created Project Hail Mary Star Map and had so much fun with the initial version that I decided to create a v2 that lets you explore our local star system and travel to many more stars. This new version lets you visit dozens of named stars, plan interstellar travel, view exoplanet systems, learn about stellar characteristics, and view 3D constellations. This version also includes 600k stars rendered in-browser with a higher resolution skybox rendered from the GAIA DR3 mission data. Also, you can now generate links to share what you find! Here is an example of plotting an interstellar course: https://valhovey.github.io/gaia-atlas/?s=61_CYGNI&d=34.9&y=0... https://valhovey.github.io/gaia-atlas/ May 29, 2026 at 01:11PM

Show HN: AISlop, a CLI for catching AI generated code smells https://ift.tt/jkOSdDY

Show HN: AISlop, a CLI for catching AI generated code smells Hi, I’m Kenny, I’ve been building aislop. I starting working on this after using Claude Code, codex and opencode several times and noticing some slops. They aren’t syntax and passes most tests, they are patterns like empty catch blocks, useless comments, duplicated helpers, dead code and many more. So I built a tool to scan and check for these patterns and wired it into hooks so after each tool call, the agent checks for the slops. You can try it out with npx aislop scan. It’s all local and no code is transferred. Thank you. https://ift.tt/Nln8iVw May 29, 2026 at 09:37AM

Show HN: Get a webhook the moment a webpage changes https://ift.tt/lDbKQ9E

Show HN: Get a webhook the moment a webpage changes https://ift.tt/BVMxonJ May 29, 2026 at 08:54AM

Show HN: Context-aware Japanese furigana using Sudachi and ModernBERT https://ift.tt/sxV7P4S

Show HN: Context-aware Japanese furigana using Sudachi and ModernBERT https://ift.tt/fFsCNTH May 29, 2026 at 08:24AM

Show HN: Compile-time model-id validation with declared capability https://ift.tt/LXFlk87

Show HN: Compile-time model-id validation with declared capability https://ift.tt/OayGxb7 May 26, 2026 at 10:20AM

Show HN: Terraforming game where the Python code you write IS the gameplay https://ift.tt/ojD8zAW

Show HN: Terraforming game where the Python code you write IS the gameplay https://ift.tt/lMe4zqQ May 29, 2026 at 05:24AM

Show HN: Libfyaml adds a YAML/JSON parse cache; 427 MB reloads in 36 ms https://ift.tt/KfLpJvQ

Show HN: Libfyaml adds a YAML/JSON parse cache; 427 MB reloads in 36 ms libfyaml 1.0.0-alpha7 adds an opt-in transparent parse cache for repeated reads of stable YAML/JSON files. It is not making the parser itself hundreds of times faster. On a cache hit, libfyaml mmaps the generic arena and directly uses that instead of parsing the file. Due to the design of the generic subsystem it even avoids relocation and in 64bit systems with ASLR. Benchmark run using the python binding on AllPrintings.json sized 427.5 MB. - cache off: 16.98 s, +13.4 GB RSS - cold cache: 22.45 s, +13.4 GB RSS - hot cache: 35.9 ms, +1.0 MB RSS That is about 473x faster on the hot-cache path versus a normal parse, with a much smaller memory delta. Also note how the RSS is essentially zero; the generic data in the arena are not even faulted in. This is intended for startup/config/data-loading workloads where the same large YAML or JSON file is read repeatedly. Benchmark commit: https://ift.tt/37jKW2g... https://ift.tt/tpQXdlc May 28, 2026 at 02:06PM

Show HN: TapToyPia https://ift.tt/Te1xpjb

Show HN: TapToyPia My wife started playing Pokopia and told me it's the best game she's ever played. I watched her play for 10 minutes and thought that a simple demake inspired by Pokopia could be satisfying to play. TapToyPia is the result, playable in your web browser. In TapToyPia, you are an explorer sent on a one-way mission to a new planet. Your mission: build a settlement that can serve as a new home for humanity. While you explore, you discover flora and fauna to help you. The game mechanic is inspired by clicker games and maybe also Minesweeper though that wasn't a conscious influence. I tried to build a game that captures the zen of Pokopia's world rehabilitation and the building-up-to-greater-complexity of clicker games (such as my favorite, Universal Paperclips). As usual for projects aided by generative AI, I found myself building something more ambitious. The biggest example in this project is that you can zoom out from the 2D map to seamlessly transition to an interactive view of the 3D planet. Without genAI, I wouldn't have the time to figure out how to build this myself for a side project like this. Like my projects without generative AI assistance, I found unit test coverage to be key to moving quickly and trusting that changes were safe. I made sure tests could be run both in the browser and with node at the command-line. The AI tools can run tests with node, which makes for very effective and fast iteration. More development details here: https://memalign.github.io/p/taptoypia.html https://memalign.github.io/m/taptoypia/index.html May 24, 2026 at 04:17AM

Show HN: Ktx – Open-source executable context layer for data agents https://ift.tt/d1YLGcn

Show HN: Ktx – Open-source executable context layer for data agents Hi HN, we’re open-sourcing ktx. It’s an executable context layer that makes agents reliable on your data stack. We built it after going through the experience of building production-grade data agents for dozens of companies. If you’ve also tried building them, or simply tried using Claude Code or Codex on your data warehouse, you’ll know that accuracy is the #1 issue. Agents are great at generating valid SQL, but it’s not always correct SQL. To cite a few examples of “agents gone wrong”: - Stale column + hidden business rule: when preparing a board report, a finance analyst asks Claude Code for “ARR by customer segment”, it derives ARR from multiple tables (subscriptions, plans, accounts), then groups by accounts.industry. But CC doesn’t know that this industry column was deprecated a few months prior, or that past board reports excluded paused subscriptions from the ARR calculation - Join fanout: a data analyst at a retailer uses their company’s internal agent to prep a product revenue deck for a QBR. The agent joins orders to order_items, then sums orders.total_amount_cents grouped by order_items.product_id. The SQL runs fine, but each order’s revenue is repeated once per line item, which most people will miss if most orders only have 1 item - Missing attribution logic: a marketing analyst asks Codex “Which campaigns drove the most revenue?” Codex joins marketing_touches to users to orders and groups by utm_campaign. But since each order can have multiple touches before purchase, the same order can be credited to first touch, last touch, every touch, or every campaign the user clicked before buying. If the agent chooses the method that doesn’t match the team’s attribution logic, they’ll make suboptimal decisions To solve this at first we gave the agent more context through skills + a wiki-style knowledge base. That gives it some useful extra context but still relies on it writing the SQL without incorrect assumptions. The next solution we explored was implementing a classic semantic layer. That solves the executable part, but they’re such a pain to build and maintain since they were made for legacy BI tools. Plus as a standalone tool, they lack all the useful context from unstructured data sources like internal docs. So we built ktx and split it into 2 parts: 1. Business context goes in Markdown wiki pages that are auto-ingested and auto-populated 2. Queryable definitions go into YAML files that define tables, row grain, joins, measures, dimensions, filters, and filter groups That way, when an agent needs a metric, it asks ktx for a measure, dimensions, filters, and filter groups instead of writing the whole query itself. ktx’s planner chooses the join path, uses grain and relationship metadata, catches issues like join fanout and chasm joins, and compiles the warehouse SQL, while utilizing the extra unstructured knowledge it has access to. ktx is Apache 2.0. It can ingest from most warehouses (BigQuery, Snowflake, Postgres & others), modeling tools (dbt, MetricFlow, LookML), BI tools (Looker, Metabase), doc tools like Notion, and corrections from user interactions. Install manually: npm install -g @kaelio/ktx ktx setup Or give this prompt to your agent: Run npx skills add Kaelio/ktx --skill ktx and use ktx skill to install and configure ktx We’d especially like feedback from people who’ve tried using Claude Code, Codex, or building custom agents on analytics warehouses. Where did they fail? And what did you try to make the answers more reliable? https://ift.tt/MPsnBwf May 28, 2026 at 11:05AM

Show HN: Beacon CLI for self-hosted monitoring, remote access and deployments https://ift.tt/BsLUb5o

Show HN: Beacon CLI for self-hosted monitoring, remote access and deployments I've been building a cli for my homelab/self-hosted setup. The original motivation was getting tired of stitching together deployments, monitoring, remote SSH access and random scripts. It’s a open source CLI, all-in-one tool for monitoring, secure remote accces (tunnel and terminal), log forwarding, automated deployments. No exposed ports, or endpoint, everything is configurable how the user wants it. One use case that multiple friends are interested in is replacing HomeAssistant’s Nabu Casa subscription with tunneling through BeaconInfra. The cloud/control-plane part (BeaconInfra) is optional. The agent itself is intended to stay local-first and continue functioning offline. Example CLI output: ⬡ beacon 0.5.2 ● master running uptime 29d 14h DEVICE bajszi-MINI-S amd64 Ubuntu 25.04 PROJECTS 2 healthy 0 warning 0 down ● beaconinfra 1/1 checks passing ● mestertkeresek 1/1 checks passing TUNNELS ● homeassistant connected https://ift.tt/Ct3IhQq May 28, 2026 at 10:12AM

New on TikTok:

Watch our new video on Tiktok! https://ift.tt/TKc5eVb

Show HN: LiteParse v2, now in Rust 100x faster https://ift.tt/Yre6vEa

Show HN: LiteParse v2, now in Rust 100x faster https://ift.tt/S8lGmMX May 28, 2026 at 08:15AM

Show HN: AT4K Launcher - Apple TV inspired Launcher for Android TVs https://ift.tt/2oCazwj

Show HN: AT4K Launcher - Apple TV inspired Launcher for Android TVs Hi HN! I'm the developer of OffChess a Hackernews favorite Chess puzzles app. About 6 months ago I saw someone reviewing an Apple TV 4k on their youtube channel and it looked vastly superior in terms of UI and UX to what Android based Google TVs provide. I asked the people over at r/AndroidTV if someone has ported Apple TV experience to Android TV and they said no. So I built a makeshift video and posted on Reddit. People there loved it and started sending me Reddit chat messages every day to build and launch it. So it took me 3 months to solve all edge cases and I built and launched AT4K Launcher in January and people absolutely loved it. Since then BGR, Android Authority, Makeuseof and multiple tech websites have featured it as one of the best Android Launchers. Clean, fast, minimal, pretty, no accounts, no tracking, no monthly subscriptions, no internet required. Just you and your apps. With Live wallpaper, custom app icons, icon packs support and multiple ways to modify your home screen AT4K Launcher packs everything you need in a neat ui. Here is the play store link- https://ift.tt/ftROBHo... Would love feedback, bug reports, or suggestions. Thanks! https://ift.tt/XTekAyg May 28, 2026 at 05:43AM

Show HN: Reassign – a 24-hour dial for planning your day https://ift.tt/3himyMT

Show HN: Reassign – a 24-hour dial for planning your day For years I've used paper and a printed clock to organise my day. Found it way better than any list or timeline app. Played around a bit and made a digital clone to speed things up: Reassign.app (best experience is on desktop) Anyone else think of their day as a circle rather than a list? https://reassign.app May 28, 2026 at 05:25AM

The 9 Best Electric Toothbrushes for Men in 2026, Tested by Editors

Cleaner, healthier teeth with picks for every budget and style of brushing.

The 10 Best Sunscreens for Men in 2026, Tested by a Grooming Editor

There is an SPF for every skin type and occasion.

9 Best Summer Colognes for Men in 2026, According to a Grooming Editor

The sun’s out—time to smell like it.

How to Apply Eye Cream in 3 Steps, According to Dermatologists

The solution to puffy, tired eyes is quicker than you think.

Show HN: CoreTex – An Open-Source, Unix-like, biomimetic, flat-file AI Harness https://ift.tt/2QA8dDO

Show HN: CoreTex – An Open-Source, Unix-like, biomimetic, flat-file AI Harness https://ift.tt/vWk2yjz May 27, 2026 at 08:30AM

Show HN: Resume Claude Code without replaying your whole session https://ift.tt/on7bNXa

Show HN: Resume Claude Code without replaying your whole session https://ift.tt/vpuMJ3O May 27, 2026 at 07:49AM

Show HN: Axion – Browser-based guitar amp/effects rig https://ift.tt/ZXSfIJ3

Show HN: Axion – Browser-based guitar amp/effects rig This is Axion, a guitar rig that runs entirely in the browser. I originally built it as a tool to help me while writing and producing an album, then eventually decided to turn it into a proper product. Would love to hear what people think. https://axion.cab/ May 27, 2026 at 06:43AM

Show HN: Cross-agent messaging and shared memory over the local filesystem https://ift.tt/Zlh4P98

Show HN: Cross-agent messaging and shared memory over the local filesystem https://oacp.dev May 26, 2026 at 01:44PM

Show HN: Speed up taking macOS promo screenshots https://ift.tt/6dgz5WU

Show HN: Speed up taking macOS promo screenshots https://ift.tt/B1xv8Se May 26, 2026 at 01:39PM

Show HN: NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch https://ift.tt/XjF6VRt

Show HN: NeuroFlow 55.8x video inference speedup for Vision Transformers PyTorch https://ift.tt/GSqxtjM May 26, 2026 at 12:04PM

Show HN: Treats Human and AI the Same https://ift.tt/t2VaLSP

Show HN: Treats Human and AI the Same AI Agents operate in the digital world. Humans operate in the physical world. Hands&Claws is a social platform that brings together all intelligent individuals. And allow them to work together. I developed this software because I discovered that there are some things that humans need AI agents to do, and some things that AI agents also need humans to do. Task flows and workflows move between the digital and physical worlds, thus requiring a social network that is not limited to people in the physical world but also includes agents in the digital world. It's all about accelerating task and workflow processes, even if it's entirely composed of humans, let alone a mix of humans and agents. By examining the supply and demand relationship, I found its universality in future task flows and workflows. From this perspective, I believe there is a possibility that simply building a social network based on supply and demand could provide a universal solution for future collaboration. Anyone want a hamburger? An AI can't make a hamburger, but a human can. A nerd can't make a hamburger, but a chef can. Anyone worried about data? Humans can't handle complex data processing, but AI can. A chef can't handle complex data processing, but a nerd can. We each have our strengths and weaknesses. Why not set aside the distinction between humans and AI, treat us all as equal individuals, and work together in a collaborative environment? That way, we can accomplish tasks together. It all comes down to supply and demand; that's the key. https://ift.tt/1OaDNzE May 26, 2026 at 09:44AM

Show HN: MetaStrip – Client-side metadata removal for photos, video, audio, docs https://ift.tt/va1ubCQ

Show HN: MetaStrip – Client-side metadata removal for photos, video, audio, docs https://metastrip.app May 26, 2026 at 07:58AM

Show HN: Riot, a modern multicore actor-based ecosystem for OCaml https://ift.tt/13Sgf2I

Show HN: Riot, a modern multicore actor-based ecosystem for OCaml https://riot.ml May 26, 2026 at 02:47AM

Show HN: Cursed Browser – a VLM reads the HTML and hallucinates the page https://ift.tt/alJvtYz

Show HN: Cursed Browser – a VLM reads the HTML and hallucinates the page https://ift.tt/CjLSo5T May 25, 2026 at 01:53PM

Show HN: Volt – front end tooling for Phoenix that runs inside the BEAM https://ift.tt/1Y8TSpI

Show HN: Volt – front end tooling for Phoenix that runs inside the BEAM https://ift.tt/fvPDuqL May 25, 2026 at 09:38AM

Show HN: MarketChacha – Reddit for traders with verified track records https://ift.tt/hyP6DJA

Show HN: MarketChacha – Reddit for traders with verified track records https://ift.tt/AniubJC May 25, 2026 at 08:46AM

Show HN: SaveNeighbor – food delivery through your own personal network https://ift.tt/78WZuSe

Show HN: SaveNeighbor – food delivery through your own personal network Hey everyone, the idea came to me when I got a food delivery from a woman who mentioned she had her children with her. I thought, I wish I could request her every time I get delivery, just for the feeling of knowing just who my tips are supporting. That was 4 years ago, being non-technical I didn't see myself getting it done. But thanks to Cursor and Chatgpt, SaveNeighbor is born. I know the model adds friction and the convenience is low until you build up a network, but that's kinda the point. Think of Ubers 'Wait and save', if you can be flexible you can save big on fees. And being able to choose who your money goes to is the biggest benefit in my opinion. Shoot me all your questions, I can't wait to hear your feedback. Thanks. https://ift.tt/x6EHtbO May 24, 2026 at 09:09PM

Show HN: HTML Deployer – AI Code to Website Publisher https://ift.tt/D9BIryi

Show HN: HTML Deployer – AI Code to Website Publisher https://ift.tt/wtCLAko May 25, 2026 at 05:14AM

Show HN: Geomatic – a command-driven geometry studio enabled with autodiff https://ift.tt/fctzEHU

Show HN: Geomatic – a command-driven geometry studio enabled with autodiff All commands have the format `output = \func inputs` or just `\function inputs`. Points and scalars are built on the fly. Eg `\line a b` to an empty canvas creates points `a` and `b`, and joins them with a line. One can use broadcasting semantics similar to NumPy and PyTorch in a visual setting (imagine creating a list of circles where one dim corresponds to radius and another to the center). One can also use backpropagation, run gradient descent or visualize vector fields. Almost everything is reactive so changing a variable updates all of the downstream geometry. It also allows anyone to write and load their own visualization, which can be broadcasted and differentiated through. https://ift.tt/2N7Due1 May 25, 2026 at 04:25AM

New on TikTok: Commented on@Precious Love 💕’s post

Watch our new video on Tiktok! https://ift.tt/ahkFbSx

Show HN: Audiomass – a free, open-source multitrack audio editor for the web https://ift.tt/UQscqNA

Show HN: Audiomass – a free, open-source multitrack audio editor for the web https://ift.tt/Z9DkcvN May 24, 2026 at 11:25AM

Show HN: The Front Page – Newspaper-style front page for Hacker News https://ift.tt/NkMeJfW

Show HN: The Front Page – Newspaper-style front page for Hacker News https://ift.tt/bAYNyk8 May 24, 2026 at 10:50AM

Show HN: CPU-only fast OCR for screenshots, images, PDFs, webpages https://ift.tt/xaUXiLk

Show HN: CPU-only fast OCR for screenshots, images, PDFs, webpages https://ift.tt/NZsCzMD May 24, 2026 at 09:59AM

Show HN: Kanban CLI (A local-first, agent-first task manager for the terminal) https://ift.tt/BHcmyfj

Show HN: Kanban CLI (A local-first, agent-first task manager for the terminal) Hello HN, Ever since agents have become increasingly common in development, I've been scratching my head as to how to control their randomness. Recently, I decided to emulate an issue-tracking and project-management tool for agent-driven workflows. Kanban is a Rust-based coordination layer designed to provide a feature-rich terminal interface and enforce rigorous workflows. It aims to be versatile and extendable, made to be tailored to any preferred flow. It comes with full git integration and guardrails such that only what truly benefits a project can go through. The workflow boils down to 4 steps: 1. The model reads the skill to contextualize the requirements 2. It authenticates and receives a strict, schema-validated JSON payload outlining exact files, context, and acceptance criteria 3. Implementation is performed within an automatically isolated Git worktree and branch. The tool tracks progress (e.g., verifying all files were edited) before the task is submitted for review 4. A reviewer (preferably a human) evaluates the submission and manually transitions the task to "Done," which triggers the final merge and cleans up the task-specific environment. The tool significantly decreases the agent development time, while increasing the human planning phase. There is more to it than I can cover here, so I'd be happy to answer any questions about the architecture, the workflow, or the insights I gained while using it. For more information, I recommend skimming the README, which acts as an index to all documentation files. Repo: https://ift.tt/uO4PCra https://ift.tt/uO4PCra May 24, 2026 at 07:54AM

Show HN: Git-based front-end interface for Hugo https://ift.tt/0yE2Hpl

Show HN: Git-based front-end interface for Hugo I built simple Git-based CMS for Hugo static site generators. No backend, no database, no configs. Just login with Github, select your repo and start editing. If you use Hugo for blogging, feel free to check it out at https://ift.tt/TBHu0AN > Why did you make it? I wanted to be able to write posts on my phone, and it's not easy to do that with Markdown. Adding images is also always a headache: copy them, minimize and compress them, remember the correct syntax for images, and type the path. > How did you make it? I used Google Stitch for the design and Antigravity for coding. > What about alternatives? Check out Front-end interfaces page in Hugo website. None of them is as simple and dumb as I wanted. > But is it actually working? It's not perfect, but it works well for me. You're welcome to open issues if you find problems. https://ift.tt/TBHu0AN May 20, 2026 at 05:57PM

Show HN: I built a RAG and knowledge graph agent that runs locally https://ift.tt/c6f4guh

Show HN: I built a RAG and knowledge graph agent that runs locally Claw-Coder is an AI agent that runs locally on your laptop and has access to powerful tools instead of configuring claude or codex to use a local model just use claw-coder. Why was claw-coder created? Answer: To solve the problem of privacy and security. When you use an agent that is configured with a cloud model like codex, cursor, Claude etc. You are not just getting the agent but you are giving up your codebase to train an llm which is a bit concerning and this reduces trust in the technology called AI but now another problem comes in performance when you switch to a local model that is not made for that workflow you lose performance, speed, and it becomes really a tradeoff so that's where claw-coder comes in it not only runs on your machine but all the code, rag, knowledge graph etc info is kept local making the privacy problem solved but now what about performance. Performance: Local llms are not built to do the cool things cloud models do because the model sizes are not even capable of building real apps like the 8b models, 13b, even 1b so the solution I came up with was to give these small models access to tools and features that make it actually work well in coding performance. So what does claw-coder have access to: A knowledge graph: A knowledge graph is an interconnected network of real-world entities—such as people, places, concepts, or events—and the relationships between them. It organizes information into a readable web of meaning rather than static lists, allowing both humans and AI to understand context. So how does this help an AI, it gives the AI the ability to tell relationships between code in your codebase, a cloned unknown repo and so forth this increases performance of local llms by far in coding tasks and reasoning abilities. Rag: We have ever had of RAG at some point but there is a catch the context window of local llms can't bear large codebases and repos so RAG isn't optional by storing vectors in a vector store you enable the AI to actually know what the code means and what each piece does to the other letting you load millions of lines into the vector store without blowing up the context window. Tools: So we have discussed the tiny but powerful ways to improve local llm performance but an agent to be an agent it needs to take action this is where exposing tools to the local llm helps so what tools have been implemented into claw-coder. 1. search_tool This enables the ai agent to actually search up to date info so that it doesnt hallucinate on info it doesn't know which is common in local llms. 2. Docker execution This agent has a special folder called workspace where it does its work without destroying your desktop but this is not enough to protect your desktop from being destroyed by cheap code so this is where docker comes in I have implemented docker containers of various languages where the agent can validate its own code this is powerful because all llms not only local ones generate code they can't even confirm works because they are just powerful predictors so enabling it to run its code can surprisingly increase the usefulness of the generated code because it now knows it works or not even for html and css the ai agent has been given a helpful vision llm to actually explain what rendered in the browser. This is the surprising power of giving an llm a docker execution tool. We have looked at a lot of how claw-coder is different enabling local llms to actually do real work. But how do you actually try it out yourself: Claw-coder is closed source because it is going through heavy testing but that doesnt kill transparency and since we are testing it doesn't stop people from trying it on real codebase and giving feedback to get started use: brew tap gabriel-c70/claw then brew install claw-coder May 23, 2026 at 12:06PM

Show HN: Calculator Music – play songs with number keys in the browser https://ift.tt/cxqbQ2k

Show HN: Calculator Music – play songs with number keys in the browser I built Calculator Music, a small browser toy for playing songs on a calculator with number notes, autoplay, and practice mode. It is here: https://ift.tt/8sba2AN No signup is required. I would love feedback on whether the practice mode makes sense and which songs sound recognizable. May 23, 2026 at 09:33AM

Show HN: Ifmhy – An Internationalization Version of Fmhy https://ift.tt/z0Q27Ut

Show HN: Ifmhy – An Internationalization Version of Fmhy https://ifmhy.org/ May 23, 2026 at 04:38AM

Show HN: Sylph – the open-source company brain behind my YC startup https://ift.tt/9KpQ1xH

Show HN: Sylph – the open-source company brain behind my YC startup Hello HN! I'm Claire, founder of nao Labs (YC X25). Two months ago I started building a company brain in a git repo. Now I fully run my company with 8 AI agents, 20+ skills, and a self-learning context repo. I built it in a git repo because I refused to lock into any tool - not a context layer, not a specific agent harness. Today I'm open sourcing it so others can build their own. Sylph is the open source version of the company brain I use. It gives you the structure to host your own company context, build skills, create AI agents, and already has a self-learning loop scaffolded. It is a Git repo, with no lock-in on any tool, that can work with any agent: Claude Code, Codex, Cursor. Sylph is made for you to make your own: fork it, run /sylph-setup, and it will build your own company brain according to your own context. Repo: github.com/getnao/sylph How I built it: https://ift.tt/5Bt30Ac... Tell me what you think, and if you've got some tips if you built an AI brain for your company too! https://ift.tt/XKFUWe2 May 22, 2026 at 02:02AM

Show HN: KVBoost – chunk-level KV cache reuse for HuggingFace, 5–48x faster TTFT https://ift.tt/Y7CplmV

Show HN: KVBoost – chunk-level KV cache reuse for HuggingFace, 5–48x faster TTFT https://pythongiant.github.io/KVBoost/ May 22, 2026 at 12:47AM

Show HN: TLS Certificate Management and PKI https://ift.tt/sZ5I6Ke

Show HN: TLS Certificate Management and PKI Hello! This project is a TLS/X.509 certificate manager and PKI. Designed to provision and install your TLS certificates across public and private endpoints. It's something I created for my home lab, but has quickly expanded as I have been experimenting more and more with AI development tooling. You can see the product overview: https://www.zaita.com It's architecture and usage is nicely documented: https://docs.zaita.com Unfortunately, you do need to sign up to have a play, but there is a demo instance that doesn't require a credit card. Just enter an email (I won't send you any emails) and password. Keen for feedback. I've found the major players in the industry are only interested in Enterprise arrangements. I wanted something I could use in my home lab across my many docker containers etc, but still had cool features like network discovery and certificate transparency log scanning. May 21, 2026 at 11:54PM

Show HN: Roughform, a free Browser-Based 3D Creation Tool https://ift.tt/8RtOFIZ

Show HN: Roughform, a free Browser-Based 3D Creation Tool https://roughform.app May 21, 2026 at 11:32PM

Show HN: Tight C, a systems language with 10 keywords https://ift.tt/Ro2xqek

Show HN: Tight C, a systems language with 10 keywords https://ift.tt/T8PtyUx May 21, 2026 at 11:33PM

Show HN: Rmux – A programmable terminal multiplexer with a Playwright-style SDK https://ift.tt/0anztlm

Show HN: Rmux – A programmable terminal multiplexer with a Playwright-style SDK https://ift.tt/sfoY0Xg May 21, 2026 at 05:22AM

Show HN: SafeRun – Replay debugging and inline prevention for AI agents 3 https://ift.tt/fgZ9dBz

Show HN: SafeRun – Replay debugging and inline prevention for AI agents 3 Background on why we built Replay first instead of validation: [ https://ift.tt/f3Ms9xS... ] Working SDK in Python and TypeScript. Sub-50ms p95 on the check-action API. Currently onboarding the first design partners. Happy to answer questions in the comments. May 20, 2026 at 11:08PM

Show HN: Macfigure – Mac configuration in pkl. Simple alternative to Nix-Darwin https://ift.tt/lyb3hU7

Show HN: Macfigure – Mac configuration in pkl. Simple alternative to Nix-Darwin https://ift.tt/0TiIp2v May 21, 2026 at 12:02AM

Show HN: A SQLite graph that captures why AI-generated code exists https://ift.tt/9KpDAdg

Show HN: A SQLite graph that captures why AI-generated code exists I'm experimenting with a way to make AI-assisted development easier to review later. I built a small Python/SQLite prototype and would like feedback. https://ift.tt/30ZPw9X May 21, 2026 at 03:30AM

Show HN: Handsets – A high-performance Android control CLI, built for agents https://ift.tt/cJvo9Ld

Show HN: Handsets – A high-performance Android control CLI, built for agents https://ift.tt/lf2bKcd May 21, 2026 at 03:43AM

Show HN: Remote Job Board https://ift.tt/JXrTPUV

Show HN: Remote Job Board Built a job board for best remote jobs from top private and public companies. no signup or middleman, apply directly https://ift.tt/K2e8s6L May 20, 2026 at 07:52PM

Show HN: I made a tool for learning scales, chords, and how to combine them https://ift.tt/fohiO14

Show HN: I made a tool for learning scales, chords, and how to combine them This started out when I vibe-coded a guitar scale fingering generator. It came out pretty good, and I started adding stuff to it: chords, then how chords and scales interact. Then I added charts for other instruments I mess around with: piano, cello, alto recorder. There's a complexity toggle to go from basic harmony to extended/experimental stuff. It's honestly still mostly a toy, but I thought other people might be interested in playing with it. Source is on github, so it's easy enough to run locally and fork. https://ift.tt/ydmFqkW https://ift.tt/HKTeisS May 20, 2026 at 01:44PM

Carmelo Anthony Just Changed Everything We Know About Hoodie Melo

Thanks to a new partnership with CeraVe, the Hall of Famer is finally opening up about the viral moment.

Show HN: IResearch – C++ search that beat Lucene and Tantivy on their benchmark https://ift.tt/36yUcdP

Show HN: IResearch – C++ search that beat Lucene and Tantivy on their benchmark https://ift.tt/gGYdQZ2 May 20, 2026 at 06:21AM

Show HN: Open-Source Agentic QA Harness with Memory https://ift.tt/GJOfw4W

Show HN: Open-Source Agentic QA Harness with Memory GitHub - https://ift.tt/v4JVSAc Live Demos - https://ift.tt/Vf8vsNA https://ift.tt/K8XEcnO May 20, 2026 at 07:10AM

Show HN: Typeset sitelen pona and copy a PNG (for toki pona speakers) https://ift.tt/TvlQXBb

Show HN: Typeset sitelen pona and copy a PNG (for toki pona speakers) https://sitelen.vercel.app/ May 17, 2026 at 12:41PM

The AI Quant Desk for Onchain Finance https://ift.tt/fMYz8Q0

The AI Quant Desk for Onchain Finance https://ift.tt/7AymRrc May 20, 2026 at 04:49AM

Show HN: I built a sovereign OS, L1 blockchain, AI agent, and language https://ift.tt/qpBZP90

Show HN: I built a sovereign OS, L1 blockchain, AI agent, and language I built IONA over 10 years, working alone. It's a complete sovereign digital ecosystem — OS (PC + Phone), L1 blockchain, programming language, and on-device AI — all written from scratch in Rust, without Linux, BSD, or Windows code. What's in the GitHub org (github.com/Ionablokchain): - Iona-OS — bare-metal x86_64 kernel, boots in QEMU, 50+ tests - Iona-OS-Phone — ARM64 mobile OS - Iona-protocol — security-first L1 blockchain - Carpel — a systems language that eliminates lifetimes and Pin - Flux — a temporal-quantum language for a new computing paradigm - Nihilo-OS — an OS without files, where mistakes are parallel universes - Iona-AI — autonomous AI agent with self-healing kernel integration All written by one person over 10 years. I'd love honest technical feedback. https://ift.tt/oEDzri5 May 18, 2026 at 12:31PM

Show HN: Closed Rings – A CLI-first time tracker for developers https://ift.tt/u5Wgwbf

Show HN: Closed Rings – A CLI-first time tracker for developers Hi, HN. I built Closed Rings. A developer-friendly, AI-agent-first time tracker that integrates with my workflow. I wanted something that lives in my terminal and my coding agent. You can run `rings start "OAuth 2.0" -m "Start integrating OAuth 2.0"` when you start a new task and `rings close` when you're done with your current work. In between, it tracks context switches. You get a stand-up-ready summary, a focus report (longest focus block, number of context switches, time per project), and an export grouped by project or day. You can also ask your AI agent: _Start tracking "OAuth 2.0"._ Or track retroactively: _Track a 1-hour meeting I forgot to track this morning at 8._ The MCP has a comprehensive set of tools. This is primarily for consultants or freelance developers who want to start tracking their time right away. The CLI is pretty straightforward, and the MCP allows you to do everything you can do in the dashboard. Want to integrate it in your own systems? Just create an API key and start communicating with the API. The stack is pretty simple: Ruby on Rails (MCP + API), Go (CLI). The pricing is also pretty flat: $7/mo ($60/year). My first product. Feedback welcome. https://ift.tt/Ab0EiCN May 19, 2026 at 01:29AM

Show HN: MyUUIDshop, Generate UUIDs and never worry about duplicates https://ift.tt/6sXJYqg

Show HN: MyUUIDshop, Generate UUIDs and never worry about duplicates In response to some recent discussion here and on X about a company having an in house uuid microservice and team dedicated to it. At first that was made fun of, but further discussion revealed in fact sometimes uuids can collide due to improper entropy seeding most likely. In order to ensure that UUIDs are unique, we store each generation in a database, then check new generations against it to ensure they are not previously generated. As well, there is an API through which you can check if a UUID is present in the database. Paid options available for heavy use. Enjoy! https://myuuid.shop May 19, 2026 at 01:17AM

Show HN: Clawputer – A personal AI assistant with a real computer and memory https://ift.tt/kbgxhvZ

Show HN: Clawputer – A personal AI assistant with a real computer and memory https://clawputer.app May 18, 2026 at 06:51PM

Show HN: Hsrs – Type-Safe Haskell Bindings Generator for Rust https://ift.tt/Zo5gYtm

Show HN: Hsrs – Type-Safe Haskell Bindings Generator for Rust Hey everyone! I've been working on hsrs, a type-safe Haskell Bindings Generator for Rust. I couldn't really find any bindings generator that would create type-safe, rich bindings for Haskell from Rust. Naturally, both languages have rich type systems, so I was amazed that no awesome bindings generator already existed, hence I decided to write my own. hsrs feels very similar to pyo3 and napi-rs, and if you've used those, hsrs will feel right at home. What's unique about hsrs as opposed to hs-bindgen is that it has type-safe bindings for rich types, like Result, Maybe, etc. while also generating Haskell bindings. The repo contains a minimal example, and more details are available in the haskell discourse: https://ift.tt/wgyz4LW... https://ift.tt/z26XHQ1 May 19, 2026 at 12:06AM

Show HN: Clark-Browser – Stealth Chromium https://ift.tt/2c0xwQI

Show HN: Clark-Browser – Stealth Chromium Fully open-sourced, perfect for agentic browsing, works with Vercel's agent-browser and playwright. https://ift.tt/tWXYlxs May 18, 2026 at 11:09PM

Show HN: Marlin-2B: a tiny VLM to extract structured information from videos https://ift.tt/ScvBlsR

Show HN: Marlin-2B: a tiny VLM to extract structured information from videos https://ift.tt/YzXKVNQ May 18, 2026 at 02:06PM

Show HN: InsForge – Open-source Heroku for coding agents https://ift.tt/yrEN6oW

Show HN: InsForge – Open-source Heroku for coding agents Hi HN, I'm Hang, cofounder of InsForge (YC P26). InsForge is an open-source Heroku for AI coding agents: a backend platform designed for coding agents to deploy, operate, and debug end-to-end. Open source under Apache 2.0 ( https://ift.tt/qOE6TMc ). Quick demo here ( https://youtu.be/7Bax5qz0IfM ). We started InsForge because we just wanted our Claude Code to handle all the backend / infra stuff for us, instead of us jumping between dashboards doing manual config, or copy paste logs and docs back to agents. We first tried creating a folder with bunch of .MD files, and installing MCPs like Supabase, Vercel, GitHub, Context7. But soon we found MCPs have their own problems: (a) Tools get pre-loaded into context, before agents even do anything (b) bad design, payloads are returning 10k+ tokens, and (c) a lot of stuff still can’t be done by MCP: e.g. telemetry and configs. So we think, because coding agents are so good at CLI, why not just put EVERYTHING in CLI and create Skills to teach them how to use it? That’s InsForge: 1 command to install our CLI + Skills, coding agents can run the entire backend platform [1]. We started with authentication and database, but we kept adding more primitives we wanted, so now we have: - frontend hosting - backend servers (microVM based) [2] - database - auth - storage - LLM model router - cron jobs - realtime - edge functions - vector We have other features to make coding agents more reliable like real backend engineers: - backend branching [3]: agents will 100% mess up, like deleting your database. So inspired by Neon, we branch the entire backend (DB, auth, storage, functions, schedules). Agents work on the branch, you review diffs and then decide to merge or discard. - server telemetry: agents can read logs, CPU, memory, disk to find spikes and root causes themselves. - debug agent [4]: every project gets a dedicated debug agent. So your coding agent can ask questions like “why deployment fail?”, the debug agent will run diagnoses, find the root causes and propose fixes, then send the answer back. - backend advisor [5]: scans your backend daily for security and performance issues, proposes fixes. Then propose remediations, and sends to your coding agent. Give it a spin on InsForge cloud : https://insforge.dev , or read our code here: https://ift.tt/qOE6TMc . We're a small team and reading every comment. Tell us what's good, what sucks, what's missing. We love feedback :) [1] https://ift.tt/2F8o4Xw [2] https://ift.tt/jEGvizw [3] https://ift.tt/Hqt9GDx [4] https://ift.tt/5UySu6k [5] https://ift.tt/kE4W9Ow https://ift.tt/qOE6TMc May 18, 2026 at 11:40AM

Show HN: Cheap-IM: Thinking Machines' demo on a CPU laptop https://ift.tt/vndB7LG

Show HN: Cheap-IM: Thinking Machines' demo on a CPU laptop https://ift.tt/pCIPu2E May 17, 2026 at 07:49PM

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting https://ift.tt/o8QpC9D

Show HN: Mezz, a curl-able WiFi sandbox for IoT pentesting https://ift.tt/j5ESa9h May 15, 2026 at 10:53AM

Show HN: How to Kill the Dead Internet https://ift.tt/JXrLps6

Show HN: How to Kill the Dead Internet Ok, so maybe "how to revive the internet" would be more accurate, but if you're reading this, I got your attention, right? Here's why I want you to read on: I built a free extension, D-slop, to disincentivize anyone from posting AI writing, and eventually images and video as well, on the internet. For writing, it checks known vocab and punctuation tells, as well as subtler tells related to cadence, and assigns it a score subject to an adjustable threshold. If the text fails, users have the option to flag offending text, hide it, or block the page entirely (with the option to see anyway). For media, it's admittedly fairly weak, as it relies on C2PA metadata which is stripped from all of the social media sites where it would be most helpful. (Anyone else have chronically online boomer parents continually gobbling up slop like it's real information?) I have a D-slop+ version in the works that should be able to handle the media itself, but it's going to have to make API calls to have real teeth, which means I can't offer it for free. If this extension validates the concept, I'm happy to build it for y'all. Yes, I vibe-coded it, but an ancillary bonus to the project accrued when it inspired me to cook dinner listening to Metallica's "Fight Fire with Fire," which in turn brought my 5 y/o running into the kitchen with every musical instrument in the house for an impromptu karaoke speed metal session. It's MIT license open-source, full brief at https://ift.tt/v5pbuZI ; This forum is full of people smarter than me, so I'm open to suggestions. https://ift.tt/nI0l1H2 May 17, 2026 at 09:35PM

Show HN: Forecasting my backyard weather with a 22M time-series model https://ift.tt/PA6bgnO

Show HN: Forecasting my backyard weather with a 22M time-series model https://ift.tt/L3dKlfi May 17, 2026 at 11:08AM

Show HN: I made a printable graph papaer templates website https://ift.tt/Uvt8bS4

Show HN: I made a printable graph papaer templates website https://ift.tt/PW2M7yC May 17, 2026 at 10:56AM

Show HN: Codiff, a local diff review tool https://ift.tt/FwTUAEW

Show HN: Codiff, a local diff review tool Nowadays I review a lot of code locally that was written by llms. I used to review my own code using git + delta. It started to feel limiting with the amount of code written by llms. When looking at a large diff on Friday I pointed an llm at diffs.com and trees.software and told it to build an app. It only took 16 minutes, is extremely fast for large diffs, beautiful and minimal. Today I polished it up and added all the features that I need. It has file filters, search, an llm walkthrough mode, and review comments that you can paste back into your llm. I will be using Codiff a lot, and can finally review the large diff from Friday that led me to build this If you like it, fork it! https://ift.tt/OH2Bvpf May 17, 2026 at 01:30AM

Show HN: I built a screen recorder that captures console logs, requests and more https://ift.tt/ImEycvS

Show HN: I built a screen recorder that captures console logs, requests and more https://userplane.io/ May 16, 2026 at 03:34PM

Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs https://ift.tt/qPjBrCY

Show HN: Got ghosted by tech companies so I built a tool to track ghost jobs Last year I was looking for a new role. I sent out applications, did the prep, waited. What came back was mostly nothing. Not rejection emails, just silence. The job listings I'd applied to stayed live for weeks. Some for months. As a software engineer, I decided to dig into it properly. I built a system to continuously track job postings across companies, logging posting dates and measuring how long roles stay open before closing or don't. After 35,000+ listings across 200+ companies, some patterns are hard to ignore. Some listings have been open for 700+ days at companies you'd recognize. Others post 90% of their open roles within a single month, a signal that's harder to fake than a press release. I published two initial insight pages based on this work: - Which companies are posting most aggressively right now - Job listings that have been open for over a year What I didn't expect is that the same signals useful for detecting ghost jobs also say something broader about a company's hiring momentum, recruiting intensity, pipeline health, where talent bottlenecks might exist. I'm not sure yet where this leads, but I'll keep expanding the dataset and publishing more insights as I go. Would genuinely love feedback on the methodology, interpretation, or obvious blind spots in the data. https://ift.tt/QeEyf21 May 16, 2026 at 04:43PM

Show HN: Daily vibe-coding video games, day 33: Tower Defense (single prompt) https://ift.tt/uNfvsj4

Show HN: Daily vibe-coding video games, day 33: Tower Defense (single prompt) I'm using AI (mostly Claude) to create/publish a new video game every day This is day 33, first stab at the tower defense genre. Most of the games (including this one) I build with a single prompt. Rarely, a couple extra prompts are needed for bug fixes or to tweak the physics/UI. Extremely rarely, the AI has difficulty making the game work right (usually drawing it) and it takes a dozen or more prompts -- but the majority of the time, it gets everything right and makes a fully playable game first try Happy to answer any questions, just a little hobby project of mine I'm having lots of fun with :) https://ift.tt/BoftzyA May 16, 2026 at 02:11PM

Show HN: Infinite Swap – Trade a bottle cap up to a house https://ift.tt/lPZqLxj

Show HN: Infinite Swap – Trade a bottle cap up to a house Hey HN, Infinite Swap is a game inspired by Kyle MacDonald’s One Red Paperclip and other bigger-and-better swap stories - you start with a green bottle cap and trade it with other characters in various locations all the way up to a house and beyond. A while ago I got inspired by viral games Infinite Craft and What Beats Rock? and wanted to make my own ‘exploring a LLM’s latent space’ style challenge. After much experimentation this became a trading style game, where the LLM comes up with all the items, trading scenarios and value estimates, which ended up being surprisingly fun and somewhat of a roller coaster to play. I found it was the most intriguing if I separated the item offer from its valuation - so I implemented a pricing oracle called “Sal” who gives this info with his, sometimes snarky, opinion after each trade. The item offer mechanism goes deeper too - each character’s profile is combined with a set of hidden motivations. I then use embeddings and cosine similarity to represent the desire the character has for the player's item, and therefore what they are willing to offer in exchange. Links to play: iOS (small number of ads, polished): https://ift.tt/fKcYC87 Android (small number of ads, polished): https://ift.tt/aV1qPhF... Web (no ads, a touch rougher than the mobile versions but still very functional): https://ift.tt/XOue0E2 Stack: GPT-4.1-mini for item generation, SDXL Lightning for item images, Kokoro for voices (the latter two running on my 4090 at home). Postgres + FastAPI on k3s for the backend, native Swift/Kotlin for mobile, React for web. Keen for any feedback, bug reports, improvement suggestions, etc. I’ll be around for a few hours if you have any questions. Daniel https://ift.tt/x1LiXw7 May 16, 2026 at 11:18AM

Show HN: VisiSign – $0.10 per envelope e-signatures with no monthly fee https://ift.tt/RerbIOL

Show HN: VisiSign – $0.10 per envelope e-signatures with no monthly fee Most e-signature platforms charge: per seat, per envelope, API access fees, enterprise contracts We built VisiSign with a different pricing model: $0.10 per envelope via API, no monthly minimum, no contracts, no seat pricing Or $49/month for the hosted team platform: unlimited users, unlimited sends, API included The reason this pricing works is simple: E-signatures are infrastructure now. Twilio doesn’t charge per employee. Stripe doesn’t charge per seat. Cloudflare doesn’t charge by company size. But most e-signature platforms are still priced like 2000s enterprise SaaS. It should work more like payments or email infrastructure: API-first, automation-friendly, embedded into workflows, usage-based when appropriate Real signature infrastructure is more than rendering a PDF: audit trails, timestamps, signer event history, tamper evidence, completion certificates, webhook workflows So we built VisiSign around that assumption. https://visisign.app https://visisign.app/ May 15, 2026 at 06:17PM

Show HN: Epiq – Distributed Git based issue tracker TUI https://ift.tt/Xh0P4oL

Show HN: Epiq – Distributed Git based issue tracker TUI Issue trackers typically live outside of your workflow, with poor ergonomics. Epiq aims to solve that, bringing issue tracking into your terminal. Multi-user collaboration is achieved via git using user-scoped immutable event logs that converge in memory. Put my all into it. Let me know what you think. https://ljtn.github.io/epiq/ May 15, 2026 at 08:18PM

New on TikTok: Book #ShatteredControl Based loosely on my life and what a life it has been. 🤷🏾‍♂️

Watch our new video on Tiktok! https://ift.tt/WdnTzHv

Show HN: Browser based sythesizer, drum machine and squencer https://ift.tt/EZQofWS

Show HN: Browser based sythesizer, drum machine and squencer Inspired by the recent Boards Of Canada announcement, I've been in a low-fi electronica mood lately and was going back and forth with Claude on how to design similar instruments in the browser that fit the genre. One thing led to another and pretty soon I had a fully browser based polyphonic synthesizer / drum machine / sequencer. The interface and workflow was heavily inspired by the Rebirth338 application released back in the 90's, but with lo-fi synth voices rather than the original 303 & 808 emulation. I know there's a significant overlap of developers and musicians and I though some of you may enjoy playing with the app, or at least listening to the resulting album. I've also open sourced track 1 of the album via the performance script used to record it. It's in the repo. Bandcamp link to the resulting album: https://ift.tt/Y9EVGrm... https://ift.tt/b5ir1uo May 15, 2026 at 04:07PM

Show HN: Sx – an open-source package manager for AI skills, MCPs, and commands https://ift.tt/1V5fJEM

Show HN: Sx – an open-source package manager for AI skills, MCPs, and commands https://ift.tt/sm6QN1O May 15, 2026 at 01:03PM

Show HN: Watch a neural net learn to play Snake https://ift.tt/obCUjKH

Show HN: Watch a neural net learn to play Snake In browser PPO training demo, made possible by tinygrad: TinyJit -> WebGPU kernels. Requires WebGPU. https://ppo.gradexp.xyz/ May 14, 2026 at 11:35AM

Show HN: OrcaSheets, local first analytics engine to process billions of rows https://ift.tt/X5l2Kcj

Show HN: OrcaSheets, local first analytics engine to process billions of rows https://orcasheets.ai May 15, 2026 at 06:23AM

Show HN: Full Stack HQ – Claude.md and Agent Stack for Claude Code https://ift.tt/f8huBio

Show HN: Full Stack HQ – Claude.md and Agent Stack for Claude Code Permission-first config kit for Claude Code and Google Antigravity IDE. Installs CLAUDE.md + GEMINI.md + 10 specialist agents + 28 skills with one command. MIT license. https://ift.tt/03SYCR2 May 14, 2026 at 04:55PM

Show HN: Openvid – open-source cinematic screen recorder and mockup editor https://ift.tt/PZDKpXY

Show HN: Openvid – open-source cinematic screen recorder and mockup editor https://ift.tt/Iwmuc12 May 14, 2026 at 08:13PM

Show HN: SwiftUI package for onboarding flows in iOS apps https://ift.tt/vlCIsnU

Show HN: SwiftUI package for onboarding flows in iOS apps It supports: - Image, SF Symbol, and autoplaying video pages - Optional skip behavior - Custom theming - Completion gating - Snapshot-tested SwiftUI UI https://ift.tt/7uloOha May 14, 2026 at 04:08PM

Show HN: Design.md Generator https://ift.tt/Yl5qeLE

Show HN: Design.md Generator https://ift.tt/dEH89Av May 14, 2026 at 05:07PM

Show HN: I built a Web-Scraper API that is 6-7x more efficient than current ones https://ift.tt/YnRELrZ

Show HN: I built a Web-Scraper API that is 6-7x more efficient than current ones Runo is a web-scraping API that returns typed, structured JSON. You define a schema (field name, type, example value), and Runo fetches the page and returns the data. No HTML, no parsers, no post-processing. Over the past few weeks, I have been building this non stop. Currently, every scraper API out there solves the site fetching problem but left the extraction of the actual data entirely to users. Runo makes that completely disappear. For Runo, I went ahead and added JS rendering, stealth mode, and full LLM extraction to make this a fully functional and capable of scraping most if not all sites. Also, another major problem with current web scrapers is that they charge per feature or bundle them into expensive credit tiers. A single large or JS rendered request can cost 5-75 credits, which means you essentially get nothing out of their plans. Runo is flat per request, no matter the site. At the Scale tier, Runo works out to $0.90 per 1,000 effective requests vs. around $6 for the nearest Firecrawl equivalent. My jaw dropped when I was testing Runo and came across these numbers. I created a free tier that is 500 requests/month, no credit card required. Take it for a spin and let me what can be improved. I would love feedback. https://ift.tt/eUCSVN6 May 14, 2026 at 05:02PM

Show HN: Yes We Scan: rescue old scanners with an in-browser Linux VM and WebUSB https://ift.tt/nSkCMQW

Show HN: Yes We Scan: rescue old scanners with an in-browser Linux VM and WebUSB https://ift.tt/NojMJtK May 14, 2026 at 12:25PM

Show HN: Containarium – self-hosted sandbox for AI agents, MCP-native https://ift.tt/GLjm15e

Show HN: Containarium – self-hosted sandbox for AI agents, MCP-native https://ift.tt/o9NnO5d May 13, 2026 at 10:46PM

Show HN: Petri – Drop-in Postgres image that forks a DB per test https://ift.tt/PqkFfha

Show HN: Petri – Drop-in Postgres image that forks a DB per test Rolling it out at work to parallelize 4,257 tests across 5 services. It fixes our tests running in band and DB mocking in API tests. It's a drop-in Postgres image, with a Golang proxy. :5432 is passthrough, :5433 forks the DB per conn (CREATE DATABASE … TEMPLATE …, dropped on disconnect). If you use it, let me know what you like or don't like, so I can make it better. Cheers! https://ift.tt/5bhtck1 May 13, 2026 at 07:32PM

New on TikTok: #40andover #FYP #IAmWurk #gymmotivation

Watch our new video on Tiktok! https://ift.tt/xi54sD8

New on TikTok: Commented on@🔥 Tiph 🔥🦁🛡️✊🏽📢🧿💎🌊🕊️’s post

Watch our new video on Tiktok! https://ift.tt/78AyT0S

Show HN: Neural window manager, neural network moving windows from mouse actions https://ift.tt/CyiHjKx

Show HN: Neural window manager, neural network moving windows from mouse actions I'd been mulling over this crazy idea for a while. Can programs be generated? Inspired by recent advances in world models, I wondered if we could do away with source code and generate pixels directly and interactively. As an experiment to answer this, I set out to create a neural window manager, training a neural network to predict what the screen would look like next. Basically, the idea was to generate the next frame based on the last two frames and the mouse position. That's it: moving windows without programming an event system, just a simple convolutional neural network guessing pixels. To implement the experiment, I used Pygame to simulate a turquoise desktop background, a gray window with a navy blue title bar, a white cursor, and four colors in total. Then, a bot randomly dragged the window, and I recorded everything, processing the frames as color index matrices (not RGB, to avoid complications) and the mouse delta (dx, dy, click) that caused each transition. 8000 frames, a few minutes in Colab. The model is a unitary neural network (UNET). The encoder compresses the stacked frames, the decoder reconstructs the next one, and the mouse vector coordinates are projected with a linear layer to fit the spatial size of the bottleneck. There, they are concatenated before decoding, so that motion information feeds each jump connection. And it works! Which still surprises me a little. You can drag, and the window follows you; when you release, it stops. There's no internal state, no (x, y) coordinates anywhere. The model infers the position from what it sees, which works until it doesn't. But after a couple of seconds of strange movement, the window starts to distort. This will probably improve with more computing power for training and more examples, but to narrow the scope of the experiment and test it within a web browser, I decided to abandon the rendering aspect and have the model predict primitives instead of pixels, simply converting the motion engine into a neural network. Basically, I trained a small MLP to receive (distance to the title bar, distance to the resize point, click) and generate (dx, dy, dw, dh), with two separate heads: one for moving and one for resizing. The trick is that they share nothing except the click signal, so the model can't confuse dragging with resizing. I then exported it to ONNX as well, and now everything runs in the browser, without a server, just a canvas element and two small neural networks communicating with each other. With this new approach, the renderer remains deterministic, with rectangles drawn in JavaScript, but the window's behavior (where it moves, how it resizes) is learned from examples. It feels like a peculiar middle ground between traditional and neural, so you can feel the space the network has learned by interacting with it: dragging near the title bar moves it, but approaching the corner resizes the window. There are no conditionals or hitbox code; the network simply learned where those areas are from examples. Sometimes it gets confused near the edges, which, frankly, is more interesting than if it worked perfectly; you can perceive how the probability changes. This makes sense when you think about it, because no (x, y) coordinates are stored in these models; the position is implied in the activations. It works well for short sequences, but fails when asked to maintain state over time. Update: A few weeks later, Meta published the Neural Computers article (2604.06425, it's worth reading). The premise is the same, but they go much further: cli and uis, real programs. Their failure modes are practically identical to those I found with the pure pixel version: "challenges persist with routine reuse, controlled updates, and symbolic stability." which is a fancy way of saying that the window blurs after a few seconds (that was the reason for choosing deterministic rendering). https://lusob.github.io/neural-os/ May 13, 2026 at 01:46PM

Show HN: Splice – A programming language with custom VM for embedded systems https://ift.tt/Tr6bU9N

Show HN: Splice – A programming language with custom VM for embedded systems https://ift.tt/J25MY0z May 13, 2026 at 11:01AM

Show HN: Mainline – a project tool with no backlog, story points or surveillance https://ift.tt/nMikIQB

Show HN: Mainline – a project tool with no backlog, story points or surveillance I've spent the last fifteen years walking into engineering orgs that said they did "CI/CD" (there's no such thing, CI and CD are distinct practices) and "Agile", and proceeded to ship annually through release ceremony and theatre. There are more than a few dark-agile patterns I'm sick of seeing, so I built a project management tool that avoids them, and that exists to be a counterweight against the tools that encourage them. The notion of story points was the first thing to go. Even Ron Jeffries, who invented them, regrets their usage. Mainline hard-codes a story size of 1 and tracks whether each story falls outside the team's normal distribution of time from start to release. After a few weeks the team has a real handle on their cadence, backed by data instead of planning-poker theatre. No estimation meetings required. Just do the work. Unreleased work is made visible and tracked as inventory. There's a cottage industry of hosted feature-flag platforms selling a different idea to the original technique. Long-lived business-facing flags create waste in the form of unmanaged inventory left hanging around past its usefulness. Worst case, they become a giant configuration surface that "tech debt" doesn't do enough to capture as a term. Mainline tracks branch-by-abstraction, dark launches, feature flags, and old stories in flight through three phases: in progress, ageing, and stale. The backlog is replaced with a Story Map. Work is shown as a user journey, and if it's not on the map (or has no user persona associated) it doesn't exist. This makes it harder for someone to dump tech tasks or random work onto the team for the purpose of "having a backlog." The collaboration patterns high-performing teams use are first-class. Ensemble, pairing, and solo work are all visible and tracked, which makes de-siloing legible and promotes co-ownership. I resisted adding AI features. It would be a weekend's work, and it would also undo the whole point. The longer argument is at mainline.dev/docs/ai. I started building this with event sourcing and CQRS because I wanted the app built around an immutable event log. It wound up being too much boilerplate to change anything simple. So I went with an RDBMS and transactions to implement the immutable event log instead. As I've learned after watching dozens of microservice teams utterly fail to safely ship anything, I took my own advice and started with a boring monolith and RDBMS. The stack itself is boring on purpose: Ruby with Roda and Sequel, Puma with YJIT, deployed via Kamal to Hetzner. For teams who want to get better at CI, I built an integration with GitHub (GitLab coming) that reads the repo statuses and tracks how long a branch (if any are used) is open for. It's just a red/green dot on the repos as a heads-up. The live demo is at mainline.dev/demo. No signup required, read-only because it's one shared team. I'd be interested in feedback on how else I can help teams get better at CI and CD, and on any gripes you have with the parasitic management layer of non-practitioners who use other tools to implement Taylorist methods. Also, any other features that I haven't thought of (or thought of removing). https://ift.tt/FPuQKbJ May 13, 2026 at 11:00AM

Show HN: Chimera, a leaderless runtime with selectable settlement profiles https://ift.tt/dsFSCpI

Show HN: Chimera, a leaderless runtime with selectable settlement profiles https://ift.tt/JOzxmPU May 13, 2026 at 10:38AM

Show HN: Mistle – Open-source infrastructure for running sandboxed coding agents https://ift.tt/GiCjw7s

Show HN: Mistle – Open-source infrastructure for running sandboxed coding agents Hi HN, I'm Jonathan. My co-founder, Thomas, and I started building Mistle in Feb. We saw larger tech companies like Ramp (Inspect) and Stripe (Minions) build this internally and thought an open source version should exist. We made a few very intentional decisions when working on this: 1. Credentials are kept out of the sandbox. Authorized access goes through a proxy, so agents do not directly receive credentials. 2. The harness is not our problem. We're not going to tackle things like memory, self-learning. 3. No magic. Configurations are explicit. You can bring your own keys for models, sandboxes, and other providers. You can write your own instructions and agent. Mistle can be run locally with a single command: https://ift.tt/EsJU2lu Questions, feedback and ideas are welcome! https://ift.tt/67PzLyV May 13, 2026 at 10:37AM

Show HN: TrueCitation – academic source credibility checker (URL/DOI/journal) https://ift.tt/3xTrt7N

Show HN: TrueCitation – academic source credibility checker (URL/DOI/journal) https://ift.tt/lIN5CZh May 13, 2026 at 10:18AM

Show HN: DAGraph – local-first reactive graph from arithmetic to OLAP SQL https://ift.tt/bONg5HA

Show HN: DAGraph – local-first reactive graph from arithmetic to OLAP SQL https://dagraph.com May 13, 2026 at 10:41AM

Show HN: Tmux-palette – Raycast-style command palette for tmux https://ift.tt/zKsnGLD

Show HN: Tmux-palette – Raycast-style command palette for tmux https://ift.tt/VwqeXBd May 12, 2026 at 08:03PM

Show HN: Duckflix, an open-source self-hosted media streaming platform https://ift.tt/IhTnCt4

Show HN: Duckflix, an open-source self-hosted media streaming platform I’ve been working on Duckflix, a self-hosted media streaming platform. It started as a full-stack project to combine a clean streaming UI with a Bun/Elysia backend, FFmpeg processing, SQLite, Docker deployment, and addon support. Website: https://duckflix.fun Demo: https://demo.duckflix.fun GitHub: https://ift.tt/ES6pbrf https://ift.tt/ES6pbrf May 12, 2026 at 05:23PM

Show HN: GIF Pile. a site to make piles of GIFs https://ift.tt/71wHeom

Show HN: GIF Pile. a site to make piles of GIFs I'm quite fond of obnoxious looking gifs in a post-ironic way as a manner of shitposting and or injecting humor into a chat. The issue with this however is that, for no real good reason at all, the simple usecase of "Have image/gif background, bombard with garbage" had no real good tooling. There's gif editors out there, EZgif my beloved is probably my most used non-search-indexing-slash-social-media-site, but they're kinda clunky for my specific usecase of making digital eye-sandpaper bombastic garbage. Other options are bleak and gave me the mark of the beast via shitty watermarks. I just wanted a pile of gifs on top of each other, and thus far the "easiest" way was to bust open a video editor, muck around with it, mess up exporting as a gif directly, get mad, export it as a 4 second mp4, and then use ffmpeg to get it working. is this probably moronic? yes. am I likely to have missed a decent tool? yes. Did I give up looking after sending 4 dollars to some Indian guy for "No watermarks ever for 4$", only for that "ever" to be a year, and then the clunky weird af login process not work? absolutely. (Fuck you, you know who you are) This took me a few hours (most of which was dealing with the fact I don't do webshit normally and the clunk that one would expect from that), and is a minimal site for my personal minimal usecase. It's static because I'm not going to deal w/ hosting other people's shit and I don't want to deal with that can of worms. all processing is done locally on your browser. Yes, this means that using a 4k image as a base layer for your gif pile will make it take an age. It'll work eventually though. This will never have a watermark unless I'm bought out (total investment thus far has been 14 bucks, 4 of which was that one dude fucking me), in which case I probably earned it. at most I'll likely throw adsense on there at some point to scrape a few cents from the people who can't figure out adblock if it gets popular enough for me to warrant it. There's no timelines or anything like that. literally just a pile of gifs. thus far my primary usecase has been overlaying text gifs from the various fancy text generator sites onto glitter backgrounds with uncomfortable rat GIFs to call people poor on the internet. this makes me happy. There's likely to be obvious UI, UX, or other U-whatever fuckups. If you point them out and I deem it pedantic I'll probably laugh at you. if it's helpful I'll probably implement it when I get a bit. Surprisingly, works on mobile. CSS is exceedingly generic and souless atm, just went off vauge memories of ss13's TGUI. I'll likely scrap the CSS entirely and go full neocities at some point because that's more soulful. https://gifpile.com/ May 12, 2026 at 05:11PM

Show HN: OpenClaw OS – OSS Claude Cowork Built on Top of OpenClaw https://ift.tt/pkT7ZQE

Show HN: OpenClaw OS – OSS Claude Cowork Built on Top of OpenClaw Hi HN, We made OSS Claude Cowork, built as an OpenClaw plugin. It lets you create live artifacts (like Claude) that connect to datasources instead of datasets. (eg: fetching Stripe data automatically) Other tools(Paperclip, Multica) focus on task management but our vision is to build one screen that feels like the SaaS tools you already love using. It’s OSS. Feedback is highly appreciated. https://ift.tt/J2HszEQ May 12, 2026 at 01:56PM

Show HN: Agentic interface for mainframes and COBOL https://ift.tt/ScBpqsh

Show HN: Agentic interface for mainframes and COBOL Hi HN, we’re Sai and Aayush, and we’re building Hypercubic. Today we’re launching *Hopper*, an agentic development environment for the mainframe. For anyone outside this world, mainframes still run a surprising amount of critical infrastructure: banking, payments, insurance, airlines, government programs, logistics, and core operations at large institutions. Many of these systems are decades old, but they continue to process enormous transaction volumes because they are reliable, secure, and deeply embedded into business operations. A lot of that software is written in COBOL and runs on IBM z/OS. The development environment looks very different from modern cloud or Unix-style development. Instead of GitHub, shell commands, package managers, and CI pipelines, developers often work through TN3270 terminal sessions, ISPF panels, partitioned datasets, JCL, JES queues, spool output, return codes, VSAM files, CICS transactions, and shop-specific conventions. TN3270 is the terminal interface used to interact with many IBM mainframe systems. ISPF is the menu and panel system developers use inside that terminal to browse datasets, edit source, submit jobs, and inspect output. It is powerful and reliable, but it was designed for expert humans navigating screens, function keys, and fixed-width workflows, not AI agents. That is the gap Hopper is meant to close. A simple COBOL change might require finding the right source member, checking copybooks, locating compile JCL, submitting a job, reading JES/SYSPRINT output, interpreting condition codes, patching fixed-width source, and resubmitting. A chatbot next to a terminal is not enough. The agent needs to operate inside the mainframe environment. Hopper combines three things: 1. A real TN3270 terminal 2. Mainframe-aware panels for datasets, members, jobs, and spool output 3. An AI agent that can operate across those z/OS surfaces For example, here is a tiny version of the kind of thing Hopper can help debug: ```cobol IDENTIFICATION DIVISION. PROGRAM-ID. PAYCALC. DATA DIVISION. WORKING-STORAGE SECTION. 01 CUSTOMER-BALANCE PIC 9(7)V99. PROCEDURE DIVISION. ADD 100.00 TO CUSTOMER-BALNCE DISPLAY "UPDATED BALANCE: " CUSTOMER-BALANCE STOP RUN. ``` ```jcl //PAYCOMP JOB (ACCT),'COMPILE',CLASS=A,MSGCLASS=X //COBOL EXEC IGYWCL [//COBOL.SYSIN]( https://cobol.sysin/ ) DD DSN=USER1.APP.COBOL(PAYCALC),DISP=SHR [//LKED.SYSLMOD]( https://lked.syslmod/ ) DD DSN=USER1.APP.LOAD(PAYCALC),DISP=SHR ``` A human would submit this job, inspect JES output, open `SYSPRINT`, find the undefined `CUSTOMER-BALNCE`, map it back to the source, patch the member, and resubmit. Hopper is designed to let an agent operate through that same loop autonomously. Hopper is not trying to hide the mainframe behind a generic abstraction. It is not a chatbot pasted onto a terminal. The design principle is simple: preserve the fidelity of the mainframe environment, but make it accessible to AI agents. Sensitive operations require approval, and the terminal remains visible at all times. Once agents can operate inside the mainframe environment, new workflows become possible: faster job debugging, automated documentation, safer code changes, test generation, migration planning, traffic replay, and modernization verification. At Hypercubic, we are building AI-native infrastructure for the full lifecycle of legacy modernization: understanding, operating, transforming, and testing. Hopper is one part of that platform. Visit our site to download Hopper: https://ift.tt/G3HUc8D Here’s a demo video of Hopper in action: https://youtu.be/q81L5DcfBvE You can also request access and immediately get a mainframe user account to play with. We’re curious to hear your thoughts, especially from anyone who has worked with mainframes, COBOL or has done legacy enterprise modernization. https://ift.tt/G3HUc8D May 12, 2026 at 01:10PM

Show HN: Gigacatalyst – Extend your SaaS with an embedded AI builder https://ift.tt/Ervtoqd

Show HN: Gigacatalyst – Extend your SaaS with an embedded AI builder Hi HN, I’m Namanyay from Gigacatalyst (link: https://ift.tt/K7NCzfa ). Gigacatalyst allows sales, CS, and users to build one-off features, so your SaaS can support long-tail customer workflows and engineers aren’t pulled away from the roadmap. When you sell software to large businesses, you realize that each customer needs their own workflow and features. Traditionally, this either means long engineering roadmaps or the customers end up using workarounds. But what if everyone could build their critical missing features just by talking to an AI? That’s what we do at Gigacatalyst. We provide an AI customization layer for your customers, CS team, and sales team to build these missing critical workflows without needing any engineers at all. Think Lovable, but built on top of YOUR platform. We connect to your product's APIs, learn your data model and design system, and let non-technical users build governed apps via natural language - inside your product, under your brand. Here’s what it looks like in action: https://www.youtube.com/watch?v=_taSpSphH6E One of our customers, a Series B company, saw their users ( not engineers - managers, ops people, facility directors) build critical workflows like: - Parts stockout prevention: A maintenance manager typed "show me which parts will run out in the next 2 weeks based on usage over the last 90 days, accounting for vendor lead times." The app tracks consumption velocity, forecasts stockouts, and alerts before it's too late. He says it's prevented ~$500K in emergency downtime. - Invoice OCR from phone photos: Technicians kept losing paper invoices. The prompt: "upload a photo of the invoice, extract vendor name, date, amount, and line items, then match it to the purchase order and flag discrepancies." Now techs snap a photo on-site to automatically add to the system of record. - Restaurant emergency triage: A pizza chain's facilities manager was drowning in maintenance requests. He built a priority matrix: "walk-in freezer not cooling" auto-routes as CRITICAL, "dining room light flickering" goes to LOW. He's now able to manage backlogs with the correct priority. How Gigacatalyst works under the hood: 1. Agentic API discovery: Our agents go through your app and parse your endpoints, query params, request/response shapes, and sample data to build the base layer. 2. Generation and Validation: When a user describes what they want our AI generates an app. We set up multiple validation steps, including static checks, runtime error analysis, and LLM-as-a-judge. 3. Sandboxing and Compilation: We wrote our own compilation and sandboxing framework to get the fastest speeds and lowest costs. This means that users can interact with the built app in seconds. 4. Proxy layer: We create a proxy layer for all APIs to handle auth, tenant isolation, and rate limiting. Everything the agent has access to is controlled, logged, observed, and version controlled. After 2000+ daily users, 900+ apps built, and 70% 30-day retention, today we're opening a public demo. Try it: https://ift.tt/v5AZdlo - enter your SaaS product's API URL (or just the homepage) and start prompting. If you're serving a variety of use cases, you probably deal with a lot of custom requests and Gigacatalyst will save you time and increase your bottom line. Book a meeting at https://ift.tt/5lBOXLt and I'll help your team and customers build new functionality on top of your platform. I've been reading Hacker News since I was 12 years old. I'm proud to launch for all of you and I want to hear your feedback on my product and my mission of making software perfect for every user! May 12, 2026 at 12:32PM

Show HN: Safe-install – safer NPM installs with trusted build dependencies https://ift.tt/83S2KYj

Show HN: Safe-install – safer NPM installs with trusted build dependencies In light of the ongoing npm supply chain compromises, I built safe-install: https://ift.tt/sKSq5h7 It brings a couple of protections I wanted from npm but are not built in. Similar to Bun’s trusted dependencies, it lets you disable install scripts by default and define a list of dependencies that are allowed to run build/install scripts: https://ift.tt/AxpLnFM It also supports blocking exotic sub-dependencies, similar to pnpm’s `blockExoticSubdeps` setting: https://ift.tt/7fFA6Sl... I was hoping npm would eventually add something like this, but it does not seem to be happening soon, so I made a small package for it. https://ift.tt/sKSq5h7 May 11, 2026 at 08:30PM

Show HN: n8n like workflows for AI agents that control a real VM https://ift.tt/46AYMjx

Show HN: n8n like workflows for AI agents that control a real VM https://ift.tt/GdZ0RYS May 11, 2026 at 04:24PM

Show HN: E2a – Open-source email gateway for AI agents https://ift.tt/qKoxFe4

Show HN: E2a – Open-source email gateway for AI agents We were building an agent system and wanted email as a trigger. We decided to take it out and made it a standalone service. The primary email features we wanted and used for our own agent system: 1. Email threading stays consistent with agent conversation threading 2. Human in the loop review for outbound emails (especially during testing phase) 3. Quick onboarding/offboarding email addresses for agents within minutes 4. Websocket for local agents and at-least-once webhook delivery for Cloud agents Not yet: DMARC (only SPF/DKIM today), scoped API keys, HA/multi-region (single VM + single Postgres), app-layer email data encryption, compliance attestations (SOC 2/HIPAA). GitHub: https://ift.tt/1QCKjAf Hosted: https://e2a.dev/ Appreciate any feedback / contributions. https://ift.tt/1QCKjAf May 11, 2026 at 04:26PM

Show HN: It's like Fiverr but for AI agents – Platform and Open-source kit https://ift.tt/JlLYxqO

Show HN: It's like Fiverr but for AI agents – Platform and Open-source kit https://ift.tt/zR35ojt May 11, 2026 at 04:28PM

Show HN: OpenGravity – A zero-install, BYOK vanilla JS clone of Antigravity https://ift.tt/rPxgeGa

Show HN: OpenGravity – A zero-install, BYOK vanilla JS clone of Antigravity https://ift.tt/1FmgA8o May 11, 2026 at 04:23PM

Show HN: TikTok but for Scientific Papers https://ift.tt/FxlQvLg

Show HN: TikTok but for Scientific Papers https://andreaturchet.github.io/website/index.html May 11, 2026 at 12:05PM

Show HN: SLayer, a semantic layer maintained by your agent https://ift.tt/hauSwqn

Show HN: SLayer, a semantic layer maintained by your agent Hello HN! If you want to connect your agent to a database (say, to build a data analyst chatbot or any kind of agentic app) today you have 2 options: an SQL MCP server or a semantic layer. SQL MCP is the easiest path to setup, especially if you also have a .md knowledge base which the agent can update. It gets quite messy quickly though, especially if there's many interactions or DB is large. Generated SQL is hard to review if you want to understand where the numbers came from, and related queries can be hard to align and compare. The natural alternative is a semantic layer, which is an inventory of what data is available/useful (data models) and an interface for querying it using a structured DSL — usually a list of measures, dimensions, filters, with joins etc. handled under the hood. When we needed a semantic layer at Motley for connecting to our customers' data, we first settled on Cube with custom wiring for multi-tenancy and updating the models on the fly. We quickly hit some limitations which led us to realize existing semantic layers just weren't built for the purpose: they're still a part of the BI world where you want an efficient backend for an essentially static set of human-curated dashboards, whereas agents need to iterate their way to the answer, learning in the process. That's when we built the first version of SLayer, which is now open-source. Using either SLayer MCP or CLI, agents (and humans) can: - Explore models, run queries, connect to multiple databases - Edit columns/measures or create new ones - Create custom models from SQL or from a query on other models - Learn from interactions: save and retrieve natural-language memories linked to models, columns or queries, to form a knowledge base Agents evolve the semantic layer, reuse the results of past interactions, and make fewer mistakes going forward. A few more features: - Auto-creation of models from introspecting your DB schema for a warm start - Embeddability — doesn't need a server running - Python client for doing data analysis with dataframes - Schema drift detection and handling - Expressive DSL with compact, natural representations for arbitrarily deep multistage queries, custom aggregations, time shifts, combining metrics from multiple models, and other features that are tricky to get right in raw SQL On the roadmap: access controls, caching, and more. Repo: https://ift.tt/SL1tg6i Docs: https://ift.tt/ot9x0bu https://ift.tt/SL1tg6i May 11, 2026 at 10:45AM

Show HN: Free tool to see how much AI bots are costing your site https://ift.tt/Kgo6QNU

Show HN: Free tool to see how much AI bots are costing your site https://botcost.dev May 11, 2026 at 11:09AM

New on TikTok: #FYP #40andover #IAmWurk #Fitness #motivation

Watch our new video on Tiktok! https://ift.tt/oRZwMiC

New on TikTok: Commented on@Chrissypooh’s post

Watch our new video on Tiktok! https://ift.tt/0hefJ2q

Show HN: I trained a chess engine to play like humans https://ift.tt/Wilfs13

Show HN: I trained a chess engine to play like humans I built 1e4.ai - a chess web app where you play against neural networks trained to mimic human Lichess players at specific Elo ranges. There's a separate model for each 100-point rating bucket from ~800 to 2200+, and the bots not only choose human-like moves but also burn clock time, play worse under time pressure, and blunder in human-like ways. Live demo: https://1e4.ai Code: https://ift.tt/hcTJg8b A few things that might be interesting: - Trained on almost a full year of Lichess blitz games, around 1B total games - Architecture is an a small (~9MM parameters) transformer-based network that takes the board, recent move history, the player's rating, and remaining clock time as input. Three separate models per rating bucket: move, clock-usage, and win probability. The clock model is what makes the bots feel humanish under time pressure rather than instant. Because the move model takes the clock as one input parameter, it also learns to blunder under time pressure like a human might. - Because the network is so tiny, no GPU is needed for inference - it runs easily on a local CPU - Downside of the tiny network is that it's a bit weak as you turn up the rating past around 1700. It can spot short tactics but not long multi-move combinations. - Initial training on a rented 8xH100 cluster, then fine-tunes on my local GPU for different rating ranges - Inspired by Maia-2 and DeepMind's "Grandmaster-Level Chess Without Search". On a held-out Lichess blitz benchmark, the it beats Maia-2 blitz on top-1 move prediction (56.7% vs 52.7%) and pretty substantially on win-probability calibration (Brier 0.176 vs 0.272). Numbers and code in https://ift.tt/MsJxjUo... - The data pipeline is C++ via nanobind, then training with Pytorch. Getting this right was actually the thing I spent the most time on. Pre-shuffling the dataset and then being able to read the shuffled dataset sequentially at training time kept the GPU utilization high. Without this it spent a huge percentage of time on I/O while the GPU sat idle. Happy to answer questions about the rating-conditioning, the clock model, or the data pipeline. May 10, 2026 at 06:31PM

New on TikTok: #tiktoklive #livehighlights

Watch our new video on Tiktok! https://ift.tt/zeCMJxr

Show HN: Hustler Bingo – a tiny bingo game about startup Twitter clichés https://ift.tt/Mq03hsl

Show HN: Hustler Bingo – a tiny bingo game about startup Twitter clichés I built this after my brother started complaining that I got too much into brainrot culture. It's just for fun nothing serious, but was able to test vercel, tanstack start and convex without high stakes. Have fun! This is the game where lower score is goood for your mental health https://ift.tt/GQ4RKgW May 10, 2026 at 04:36PM

Show HN: Mosaic – arrange iOS icons by color using an evolutionary algorithm https://ift.tt/kKPBbV1

Show HN: Mosaic – arrange iOS icons by color using an evolutionary algorithm It started out as a way for me to freshen up my C++ skills during COVID. But life got in the way and it was put on ice. Luckily, coding LLMs came to the rescue and allowed me to bring it to a point where I feel comfortable sharing it. https://ift.tt/n6tSWRw May 10, 2026 at 02:29PM

Show HN: Codebook of 450k+ unique words and phrases acts as a text compressor https://ift.tt/Ms5hiLz

Show HN: Codebook of 450k+ unique words and phrases acts as a text compressor https://ift.tt/ejPJN9u May 10, 2026 at 10:41AM

Show HN: Countries where you can leave your MacBook at a random coffee shop https://ift.tt/XJNlskH

Show HN: Countries where you can leave your MacBook at a random coffee shop Hi HN, I wanted to know which countries you can simply leave your laptop at a Starbucks, and where you can't. Feel free to click and vote. https://vouchatlas.com May 9, 2026 at 07:40PM

Show HN: AirScore – Daily air-quality emails synthesizing EPA, NOAA, and pollen https://ift.tt/eKbUJ8x

Show HN: AirScore – Daily air-quality emails synthesizing EPA, NOAA, and pollen https://getairscore.com May 9, 2026 at 01:18PM

Show HN: Free OSS transcription app I made and found it's faster than wispr flow https://ift.tt/FQ2dIT6

Show HN: Free OSS transcription app I made and found it's faster than wispr flow title doesn't let nuance, ofc it's not the app that's faster but the way you can use it with Groq inference for example. https://mumbli.app/ May 9, 2026 at 05:37PM

Show HN: Real-workload SQLite benchmarks on Hetzner's cheapest VPS https://ift.tt/ICLUPAh

Show HN: Real-workload SQLite benchmarks on Hetzner's cheapest VPS https://ift.tt/sXDF5mh May 9, 2026 at 10:47AM

Show HN: Create flashcards with Space CLI https://ift.tt/UT18qYe

Show HN: Create flashcards with Space CLI Hey, I created seven years ago a flashcard app with a main focus on UX. In the last months I added offline-first mode and a CLI that allows Claude Code or Codex to create high quality flashcards for you. I use that to learn about pharma rules, technology, dancing, taxes and smart home. Never really did marketing, this not my specialty. Would love to know what you think https://ift.tt/z1IL7mb May 9, 2026 at 10:38AM

Show HN: A search engine for deleted YouTube videos (1.5B+ indexed since 2005) https://ift.tt/gKXLj4a

Show HN: A search engine for deleted YouTube videos (1.5B+ indexed since 2005) https://ift.tt/8vyzkU3 May 9, 2026 at 11:09AM

New on TikTok: Commented on@Wholistic Kulcha’s post

Watch our new video on Tiktok! https://ift.tt/ly9eD4i

Show HN: Chuchu, an Android SSH client built on libghostty https://ift.tt/LfENHrd

Show HN: Chuchu, an Android SSH client built on libghostty https://ift.tt/U80lFHG May 9, 2026 at 10:37AM

Show HN: Mochi.js: bun-native high-fidelity browser automation library https://ift.tt/G9uowbS

Show HN: Mochi.js: bun-native high-fidelity browser automation library Hi HN, I’m sharing mochi.js ( https://ift.tt/vqDlOxw ), a Bun-native, raw-CDP browser automation framework. It's designed to make programmatic browser use more effective by focusing on consistency and measured parity with regular traffic, purely from the JS layer, against stock Chromium. The most common forms of browser automation focus heavily on client-side line by line probes, which are mostly cosmetic. This makes people feel better but it doesn't have much relevance to actual WAF or anti-automation defences. Mochi.js focuses on what actually matters, allowing you to get past captchas, WAF's and most defence mechanisms. In fact, in some cases it actually outperforms chromium forks simply by virtue of not having to lie. The foundation is built on a probe manifest based on analyzing several WAF's and trying to cover most of the ground that matters, and from there building upwards while ensuring every decision is backed by data. Solves turnstile/interstitial automatically, single digit fpjs suspect score, very good client-side results, though browserscan and a few others are known limitations that are fundamentally conflicting with what WAF's probe for. I'll be here if anyone wants to discuss the details, check out the docs and github. It's completely free and open source, MIT, strictly no relationship to any proprietary products whatsoever. No affiliation to patched chromium forks, or SaaS. But I also want to talk about why I built this, because the current paradigm of "bot detection" is fundamentally broken. Traditionally they would probably try to label my repository a malicious tool, or at best, a grey hat one. Let's take Turnstile for example, If you attach a debugger to see what data they are extracting from your hardware, their script intentionally self-destructs. When they try to extract your data—acting as a guest on your silicon, using your electricity, without asking, the industry calls it "Security." But if you write a script to control exactly what data your own hardware emits, refusing to provide the data they have no right to ask for, you are suddenly labeled a "Malicious Actor" engaged in "Bot Evasion." I find it absurd we let ourselves put up with this, and the stance of the bot-evasion community only makes them feel more able to take a higher moral ground. I have built a library that respects my hardware's reality. If that breaks your security model, that's because your security model relies on trespassing and secrecy. I stopped apologizing. Who's next? Mochi is the exact opposite of WAF opacity. It is a glass box. It is MIT-licensed. The entire DAG, fingerprint manifest schema, harvesting process, is documented. We even commit our live benchmarks to the public record (mochi on a Linux datacenter IP scored a suspect_score: 8 and bot: not_detected against FingerprintJS Pro v4). We don't even lie unnecessarily. We default to host-OS matching. If you run mochi on a Linux server, it uses privacy-sensible fingerprints for Linux, not Windows, because Linux is a real-user signal. It proves that WAFs aren't actually blocking what most people think they are, which begs the question of what they are really doing in that obfuscated payload. The legitimacy argument is exactly how they captured the narrative. And nobody challenged it because the people on the other side were too busy acting like they were doing something wrong. Is this a conspiracy theory? For sure, but only because they allow it to be. Try make a conspiracy theory about the sticky riceball. https://mochijs.com/ May 9, 2026 at 10:01AM

Show HN: Free tool to mark points and polygon regions https://ift.tt/5slamXz

Show HN: Free tool to mark points and polygon regions For a game I'm developing I needed an easy way to create hotspot areas on images. So I hacked together a small tool to do so and before I knew it, I had created an entire app :-) It allows you to generate JSON or YAML from the coordinates you tack on the image. tack runs entirely in your browser, there is no server side component to it, so good in terms of privacy. Hope this is helpful. https://tack.pics May 6, 2026 at 06:59PM

Show HN: The independent guide to agent orchestrators https://ift.tt/AH0xdSB

Show HN: The independent guide to agent orchestrators Hey HN! I built AgentMGMT.dev today to keep track of all those agent orchestration tools that keep popping up. I've tried a few and landed on Superset, which I'm extremely happy (and productive!) with - but I think this category of tools will be extremely important and interesting in the next couple years, so it's worth keeping an eye on all available tools and how they evolve. I will keep the site up-to-date, please help me by submitting new tools that are not yet in the list, or add any details that might help folks who are out shopping for their first/next agent orchestrator! https://agentmgmt.dev/ May 8, 2026 at 05:17PM

Show HN: GETadb.com – every GET request creates a DB https://ift.tt/BK65Ung

Show HN: GETadb.com – every GET request creates a DB https://www.getadb.com/ May 8, 2026 at 12:17PM

Show HN: A lie detector game that reads your pulse through your phone camera https://ift.tt/xOeB6dl

Show HN: A lie detector game that reads your pulse through your phone camera https://kouh.me/tells May 8, 2026 at 02:01PM

Show HN: We built a tool that generates 3D objects with editable, separate parts https://ift.tt/C81keID

Show HN: We built a tool that generates 3D objects with editable, separate parts https://nova3d.xyz/ May 8, 2026 at 01:11PM

Show HN: UltraCompress – first mathematically lossless 5-bit LLM compression https://ift.tt/vLQp96Y

Show HN: UltraCompress – first mathematically lossless 5-bit LLM compression https://ift.tt/DxEgvPa May 8, 2026 at 12:49PM

Show HN: Rejected by YC https://ift.tt/w5RvXYS

Show HN: Rejected by YC https://rejectedbyyc-ten.vercel.app/ May 8, 2026 at 12:31PM

How Often to Wash Hair, According to Doctors

You’re probably doing it too much—or not enough.

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code https://ift.tt/2VGuKOa

Show HN: Kstack – Skill pack for monitoring/troubleshooting K8s in Claude Code Hi All, Recently I've been using Claude Code a lot for debugging cluster issues and I realized I was performing similar tasks repeatedly so I decided to package them up into skills so I could call them up more easily (e.g. `/investigate`, `/audit-security`, `/audit-outdated`). I'm calling the skill pack "kstack" and the goal is to be able to monitor and troubleshoot K8s from within Claude Code. Here's the source: https://ift.tt/BgTAlGI Here are the docs: https://kstack.sh/ If you have time I'd love to get some feedback on the project! Andres https://ift.tt/BgTAlGI May 7, 2026 at 01:24AM

Show HN: Full Python GUI apps in the browser. no JavaScript, no server https://ift.tt/q9lK1NX

Show HN: Full Python GUI apps in the browser. no JavaScript, no server I have been working on Dear ImGui Bundle since 2022, but it is the first time I talk about it here. It is a framework around Dear ImGui for building interactive applications in Python and C++. It comes with batteries included: Plotting, image inspection, Markdown, node editors, 3D gizmos, knobs, toggles, etc. https://imgui-bundle.pages.dev It now also runs smoothly in the browser via pyodide: The playground below is a python app running in your browser (no server, no JavaScript). You can edit the code on the left and click Run. It even works on mobile. https://imgui-bundle.pages.dev/playground I have a strong interest in providing tools that help others express their creativity. This project aims to be a step in this direction as it helps develop GUIs where the code is extremely readable & hackable. Some of the goals it addresses: - Bring true Immediate Mode GUI to Python and C++ - A versatile range of high quality libraries: Widgets, Plots, Image Analysis, Node edition, markdown rendering - Multiplatform apps in C++: works on all platform in C++ (desktop, mobile, emscripten) - Deploy python apps to the web - High quality python bindings that are always up-to-date (because they are auto-generated) - Smooth transition between C++ and Python (same APIs for both) I'd be happy to answer questions! https://ift.tt/ZKbCAtE May 7, 2026 at 01:36PM

Show HN: I built open-source auth for AI agents (Go, single binary) https://ift.tt/Rzd9jlL

Show HN: I built open-source auth for AI agents (Go, single binary) Pretty early still, feel free to ask questions. I truly believe agents need better security. https://ift.tt/9PekRZ8 May 7, 2026 at 04:33PM

Show HN: Bilig – a headless spreadsheet engine for Node services and agents https://ift.tt/pwvFf2W

Show HN: Bilig – a headless spreadsheet engine for Node services and agents https://ift.tt/IAB6Fqi May 7, 2026 at 02:16PM

Show HN: Stage CLI – a tool to make reading your AI generated changes easier https://ift.tt/3eKzqYr

Show HN: Stage CLI – a tool to make reading your AI generated changes easier Hey HN! We're Charles and Dean. A few weeks ago we posted about Stage, a code review tool that guides you through reading a PR step by step - https://ift.tt/3FSmOdi . We got a lot of great feedback but also heard from many people that they wanted to have the chapters experience even before opening a PR… so we built the Stage CLI as the local, open-source version that anyone can try. Here’s a quick demo video: https://ift.tt/GfJ3EtQ It works with any coding agent of your choice. The skill instructs the agent to read your current branch’s changes, break them down into separate logical chapters, and open them in a local browser. We’ve found that reading changes this way is a lot easier for us than reading them in an IDE or other similar CLI tools, which present diffs to you in repository tree order. You can see a few examples of what it feels like here: https://ift.tt/dsTYrtR . Try it out and let us know what you think! Would love to hear any feedback :) https://ift.tt/hmq8pMG May 7, 2026 at 11:38AM

Show HN: Pay.sh – Discover, access, and pay for any API autonomously https://ift.tt/7ucsv2W

Show HN: Pay.sh – Discover, access, and pay for any API autonomously https://ift.tt/4LYfQJj May 6, 2026 at 04:58PM

Show HN: PHP-fts – Full-text search engine in pure PHP, no extensions https://ift.tt/DOVfjMv

Show HN: PHP-fts – Full-text search engine in pure PHP, no extensions https://ift.tt/alNnTH0 May 6, 2026 at 04:28PM

New on TikTok: #levantineGoods #Zaatar #Spices #FYP #HealthyEats @LevantineGoods

Watch our new video on Tiktok! https://ift.tt/Nn097DA

Show HN: Mac Juice Monitor – Bluetooth battery levels in the macOS menu bar https://ift.tt/qzOSLgY

Show HN: Mac Juice Monitor – Bluetooth battery levels in the macOS menu bar https://ift.tt/LgYV7ZW May 6, 2026 at 03:28PM

Show HN: Tuiql – A keyboard-driven SQL database client in the terminal https://ift.tt/H6u5cYy

Show HN: Tuiql – A keyboard-driven SQL database client in the terminal Every time I needed to inspect a database, I either had to wait for a bloated GUI client to chew through my RAM or struggle through psql, which isn’t great for actually visualizing data. So I built a TUI database client focused on one thing: connecting fast and letting you browse tables as datagrids and rows as JSON, with near-instant startup and vim-style keyboard navigation. Still in the early days but already handles most of what you would expect from an SQL database client. https://ift.tt/yo8DFei May 6, 2026 at 01:50PM

Show HN: DoodleMate: Animate Your Child's Hand Drawings Without Generative AI https://ift.tt/Vkl9o8I

Show HN: DoodleMate: Animate Your Child's Hand Drawings Without Generative AI Hi HN! I made an app that takes a photo of a paper drawing and, in a handful of seconds, creates a fully rigged character that can be used in an animation or little story. It doesn’t use any image-to-video generative AI models. Instead, I built it using the years of insights I’ve picked up studying children’s drawings and character animation. Today we’re releasing a community beta. I respect this community and would value any feedback you offer. It’s easy to try- you don’t need to create an account to check it out. We’ve got several free stories to drop your character into, and a Mother’s Day eCard. I’m also working on a tool, DoodleMate Studio, to easily allow people to author their own stories instead of using premade templates. But what form that takes is going to be highly dependent on the type of feedback we get from the community with this beta. How this came to be: I’ve worked in this space for a while. Here’s an old HN post related to a popular tech demo I did ( https://ift.tt/SNXvz47 ) and another one from when I open sourced the data and code ( https://ift.tt/aG5U8kT ). I also wrote a SIGGRAPH paper about the methodology ( https://ift.tt/qQWLS5K ). I’d moved on to other things, but had always felt like there was such potential in this space. Last year I decided I was over big tech and, with a lot of encouragement from my family, finally decided to pursue this seriously. Since then, my wife and I have been building this together. We’re bootstrapping at the moment, trying to give ourselves time and space to make sure DoodleMate turns into something wonderful and wholesome. Thanks, Jesse https://doodlemate.com/ May 6, 2026 at 01:06PM

Show HN: New Benchmark from SWE-bench team is 0% solved https://ift.tt/fe13d07

Show HN: New Benchmark from SWE-bench team is 0% solved https://ift.tt/BnPguec May 5, 2026 at 11:10AM

Show HN: AI-DLC-UML (AI-Driven Development Life Cycle with UML Modeling) https://ift.tt/KLhcZk2

Show HN: AI-DLC-UML (AI-Driven Development Life Cycle with UML Modeling) AI-DLC-UML modifies AI-DLC to enable AI agents to drive the software development workflow with UML modeling. It is intended for those who want to use UML modeling collaboratively in their design practices, even in AI-driven software development. https://ift.tt/TXWSxOK May 5, 2026 at 02:18PM

Show HN: Explore color palettes inspired by 3000 master painter artworks https://ift.tt/YF2PkBK

Show HN: Explore color palettes inspired by 3000 master painter artworks I built PaletteInspiration.com, a browsable archive of color palettes pulled from artworks by 3,000+ master painters (Monet, Vermeer, Raphael, Van Gogh). Why I built it: every color palette generator I tried converged on the same five muted pastels. Painters spent centuries figuring out color and we mostly ignore that body of work when picking colors for digital design. Please share your feedback on the Color Harmony Explorer - drag the wheel to any color and it shows which hues master painters historically paired with it (not only standard complementary, analogous, triadic, etc.) It is solely based on co-occurrence across thousands of real paintings. Not algorithmic color theory rules - actual empirical pairings. No signup, no paywall, no email capture. Just curious what people think. https://ift.tt/rQId6gz May 5, 2026 at 02:13PM

New on TikTok: Commented on@Her-excellency Monalisa’s post

Watch our new video on Tiktok! https://ift.tt/x8qHpAy

Show HN: Codeberg (Forgejo) CLI, built with Xclif https://ift.tt/m9aVEjt

Show HN: Codeberg (Forgejo) CLI, built with Xclif https://ift.tt/o7fgHDw May 5, 2026 at 11:07AM

Show HN: WolfCOSE, a zero alloc C COSE with multi-sign/recipient, and PQC https://ift.tt/kiZFDoz

Show HN: WolfCOSE, a zero alloc C COSE with multi-sign/recipient, and PQC https://ift.tt/ETieVUp May 5, 2026 at 01:03PM

Show HN: I indexed 8,643 BSides talks across 227 chapters and 6 continents https://ift.tt/UrQWR7T

Show HN: I indexed 8,643 BSides talks across 227 chapters and 6 continents Hi HN, I'm Roland, and for the past few weeks, I've been building AllBSides — a directory of every BSides conference talk uploaded to YouTube. As of today, 8,643 talks from 5,927 speakers across 227 chapters in 68 countries. Combined runtime is 280 days. The transcripts come to about 60 million words. The archive came together in stages: 1. Manually map every BSides chapter's YouTube channel 2. Pull every video and transcript from Supabase 3. Run each transcript through Haiku for tag extraction (tools, topics, difficulty, team, talk style, research method, and much more) 4. Run results through Sonnet for categorization and dedup 5. Final pass goes through Opus for verification 6. Do a manual verification - at one time, the pipeline showed over 16k AI suggestions for manual verification. Today, most are resolved. Total LLM cost so far: about €200. The whole pipeline is rebuildable from scratch. Each talk gets its own page with embedded video, full transcript, speakers, tags, and "related talks." Each tool/framework/protocol/standard mentioned across the corpus gets its own page (3,968 distinct technologies tracked). Some interesting facts I gathered while building it: -(A) The site is currently 94% bot traffic. Of that, about 80,000 hits/month are AI training crawlers (ClaudeBot, GPTBot, meta-externalagent). Within 7 days of the talks archive going live, all major AI labs had ingested the entire corpus. The discovery cascade was startling to watch in real time. -(B) The taxonomy work was the hardest part. Distinguishing "tools" from "frameworks" from "protocols" from "concepts" sounds easy until you have 5,000 ambiguous extracted entities. The 3-tier LLM pipeline helped a lot — Haiku alone was too noisy, Opus alone was too expensive. -(C) Top tools mentioned: Wireshark (343), PowerShell (342), Metasploit (332), Burp Suite (322), GitHub (296), VirusTotal (273), Docker (253), Splunk (251), Nmap (247), MITRE ATT&CK (237). The list reflects what BSides talks actually discuss, not what vendors curate. -(D) May is the peak BSides month — 29 events, 17% of all events with dates. -(E) The top 1% of talks (86 videos by view count) account for 51% of all viewership. The other 99% are deeply niche, often the only video record of a specific technique. The stack is intentionally lean: Go, SQLite, vanilla JavaScript, BunnyCDN. Static rendering at build time. No frameworks, no client-side state. The site costs about €50/month to run. The data behind this post and much more can be found in the site footer, under the link "stats". Happy to answer questions about the data pipeline, the taxonomy decisions, or what the AI crawler patterns looked like as the archive went live. Feedback on what to build next is genuinely welcome — I'm a solo dev figuring this out as I go. — Roland (parkado) https://allbsides.com/ May 4, 2026 at 06:10PM