🛠️ Hacker News Tools

[Other] Show HN: CPU-only transcription for YouTube, TikTok, X, Instagram videos

[Other] GitHub's take on age assurance for developers

[Other] What is the history of the ERROR_ARENA_TRASHED error code?

[Other] A Wayland Compositor in Minecraft <a href="https:&#x2F;&#x2F;github.com&#x2F;EVV1E&#x2F;waylandcraft" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;EVV1E&#x2F;waylandcraft</a><p><a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=cTkEM7b0IQw" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=cTkEM7b0IQw</a>

[Other] Show HN: Dari-docs – Optimize your docs using parallel coding agents It’s well known at this point that documentation needs to be optimized for AI agents - we’re all pointing our Claude Code &#x2F; Codex &#x2F; Pi agents at documentation, and expecting the models to figure out how to implement a product.<p>This, however, changes the entire optimization problem when writing documentation. Good documentation now becomes more objective - you are solving the very concrete problem: can a dumb harness running the dumbest model implement this reliably?<p>Humans can typically compensate for inconsistent terminology or scattered context across pages, but for agents, this often will waste time (or even just completely confuse the agent).<p>We’ve been building a small project around this called dari-docs: users can upload their documentation via website or CLI and run agents across different providers to see where they falter. You can upload your documentation, feed a list of tasks, and ask agents with varying intelligence &#x2F; cost levels to complete those tasks in parallel. When a run is complete, you get back a list feedback markdown files from each agent run and can apply changes based on agent feedback.<p>Managed service: <a href="https:&#x2F;&#x2F;optimize.dari.dev&#x2F;">https:&#x2F;&#x2F;optimize.dari.dev&#x2F;</a>, repo link: <a href="https:&#x2F;&#x2F;github.com&#x2F;mupt-ai&#x2F;dari-docs" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;mupt-ai&#x2F;dari-docs</a><p>The agents actually try to use the product end-to-end. They search through the docs, follow instructions, run commands, try examples, and attempt to debug failures. Importantly, this is not a static LLM review of the documentation. The agents are actually attempting the integration.<p>You can also enable live verification with test credentials so the agents can actually verify workflows against real APIs:<p><pre><code> dari-docs check . --live-verify --secret-env DARI_TEST_API_KEY --task &quot;Create a checkout session&quot; </code></pre> If you’re building a CLI, API, MCP server, or SDK and actively maintaining docs for humans or agents, we’d love to work with you and test this on real workflows!

[Other] Show HN: Lance – image/video generation and understanding in one model The model has 3B active parameters. We put the code, homepage, paper and model links here:<p>- Code: <a href="https:&#x2F;&#x2F;github.com&#x2F;bytedance&#x2F;Lance" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;bytedance&#x2F;Lance</a><p>- Homepage: <a href="https:&#x2F;&#x2F;lance-project.github.io&#x2F;" rel="nofollow">https:&#x2F;&#x2F;lance-project.github.io&#x2F;</a><p>- Paper: <a href="https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2605.18678" rel="nofollow">https:&#x2F;&#x2F;arxiv.org&#x2F;abs&#x2F;2605.18678</a><p>- Model: <a href="https:&#x2F;&#x2F;huggingface.co&#x2F;bytedance-research&#x2F;Lance" rel="nofollow">https:&#x2F;&#x2F;huggingface.co&#x2F;bytedance-research&#x2F;Lance</a><p>p.s. Lance is a research project, not a polished product. The model was trained using fewer than 128 GPUs.

[Other] SBCL: the ultimate assembly code breadboard (2014)

[Other] Formal Verification Gates for AI Coding Loops

[Other] Show HN: Hocuspocus 4 – self-hosted Yjs collaboration backend Hi HN! I&#x27;m Philip, one of the founders of Tiptap. Next to our open-source rich text editor framework, we started developing Hocuspocus about five years ago and open-sourced it too, to solve one of our biggest challenges back then: real-time collaboration in web editors. We found Yjs by Kevin Jahns, a CRDT library that handles concurrent edits without conflicts. Basically, Yjs merges changes from users without conflicts and in real-time. Hocuspocus is the WebSocket server built on top of Yjs. It handles real-time sync, presence&#x2F;awareness, persistence, and Redis-based scaling.<p>While we use Hocuspocus at Tiptap as the collaboration backend for our cloud services, it also works with any Yjs client (Slate, Quill, Monaco, ProseMirror, or your own setup), and Yjs documents aren&#x27;t limited to text at all. You can sync any structured data through them, and in the meantime we see projects that rely on Hocuspocus without using the Tiptap editor.<p>We released Hocuspocus v4 under the MIT license a few weeks ago, and the biggest change is that it&#x27;s no longer tied to Node. The previous versions depended on the ws package, which meant you couldn&#x27;t run Hocuspocus on Bun, Deno, or Cloudflare Workers. We moved to crossws, a universal websocket adapter, so the same server now runs on Node, Bun, Deno, Cloudflare Workers, and Node with uWebSockets. That also lets you run collaboration at the edge.<p>The other changes are smaller but are important if you&#x27;re using Hocuspocus in production:<p>1. Every core class and hook payload takes a generic Context type now, so the auth&#x2F;session shape you build in onAuthenticate flows through every other hook with full type safety (defaults to any so existing code doesn&#x27;t break).<p>2. Document updates are now processed sequentially per connection through an internal queue, which fixes a correctness bug where async hooks could cause CRDT updates to apply out of order under load.<p>3. Transaction origins are structured objects now with a source field instead of raw values and there&#x27;s an isTransactionOrigin() helper for narrowing.<p>4. Hook payloads use web-standard Request and Headers instead of Node&#x27;s IncomingMessage.<p>5. The wire protocol is backward compatible in both directions, so you can roll out servers and providers independently.<p>If you want to test Hocuspocus: npm install @hocuspocus&#x2F;server @hocuspocus&#x2F;provider<p>Docs at: https:&#x2F;&#x2F;tiptap.dev&#x2F;docs&#x2F;hocuspocus<p>Source at: https:&#x2F;&#x2F;github.com&#x2F;ueberdosis&#x2F;hocuspocus<p>Because running real-time collaboration on Workers or Durable Objects is new in v4, that&#x27;s the use case we&#x27;d most like to hear your questions and feedback on.

[Testing] Testing distributed systems with AI agents

[Other] GitHub confirms breach of 3,800 repos via malicious VSCode extension Previous thread in sequence:<p><i>GitHub is investigating unauthorized access to their internal repositories</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48201316">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48201316</a> - May 2026 (321 comments)

[Testing] Show HN: Open-Source Agentic QA Harness with Memory GitHub - <a href="https:&#x2F;&#x2F;github.com&#x2F;vostride&#x2F;agent-qa" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;vostride&#x2F;agent-qa</a> Live Demos - <a href="https:&#x2F;&#x2F;vostride.com&#x2F;demo&#x2F;agent-qa" rel="nofollow">https:&#x2F;&#x2F;vostride.com&#x2F;demo&#x2F;agent-qa</a>

[Other] Incident Report: May 19, 2026 – GCP Account Suspension Previous thread: <i>Incident Report: Railway Blocked by Google Cloud [resolved]</i> - <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48201484">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=48201484</a>

[Testing] Testing MiniMax M2.7 via API on three real ML and coding workflows

[Other] Key, in sight – A guide, of sorts, to keyboard customization

[Other] GitHub is investigating unauthorized access to their internal repositories <a href="https:&#x2F;&#x2F;xcancel.com&#x2F;github&#x2F;status&#x2F;2056884788179726685" rel="nofollow">https:&#x2F;&#x2F;xcancel.com&#x2F;github&#x2F;status&#x2F;2056884788179726685</a>

[CLI Tool] Remove–AI–Watermarks – CLI and library for removing AI watermarks from images

[Other] Show HN: I built a native macOS Markdown viewer 100% with AI coding agents I built Markdown Viewer because every Markdown app I found was either bloated (VS Code, Obsidian) or too bare-bones. Wanted something that loads instantly, renders Obsidian-style features cleanly, and weighs in at a few megabytes.<p>Built with Tauri 2 (Rust backend + webview frontend): - GitHub Flavored Markdown + Obsidian extensions (wikilinks, callouts, emoji, math, Mermaid diagrams) - Frontmatter rendered as a structured metadata bar above content - HTML sanitization via ammonia for security - No heavy dependencies, no Electron<p>What makes it interesting isn&#x27;t so much the features — but how it was built. Every line of Rust, CSS, and JavaScript was written by AI coding agents (pi.dev&#x2F;Qwen and Claude Code) without a single human writing code. No hand-holding, no &quot;prompt then copy-paste&quot; — just a high-level brief and iterative agent-driven development.<p>I&#x27;ve been using this project to hone into my pi.dev setup - am getting somewhere with pi.dev&#x2F;Qwen3.6 with a small set of extensions. Trying to avoid Claude Code&#x2F;Opus for this project - want to see what I can do with local LLM.<p>Key stats: - Instant load (no webview overhead, pure rendering) - ~few MB binary - Sanitized HTML via ammonia (XSS-safe) - Open source on GitHub<p>Open source at <a href="https:&#x2F;&#x2F;github.com&#x2F;rajatarya&#x2F;mdviewer" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;rajatarya&#x2F;mdviewer</a>

[Other] Gemini CLI will stop working from June 18, 2026

[API/SDK] Gemini 3.5 Flash <a href="https:&#x2F;&#x2F;ai.google.dev&#x2F;gemini-api&#x2F;docs&#x2F;models&#x2F;gemini-3.5-flash" rel="nofollow">https:&#x2F;&#x2F;ai.google.dev&#x2F;gemini-api&#x2F;docs&#x2F;models&#x2F;gemini-3.5-flas...</a>