Show HN: Screenwriting Software https://ift.tt/ID856u2

Show HN: Screenwriting Software I’ve spent the last year getting back into film and testing a bunch of screenwriting software. After a while I realized I wanted something different, so I started building it myself. This has been a super fun project - with the core text engine written in Rust. https://ift.tt/OQjtKJ6 March 20, 2026 at 07:37AM

Show HN: React terminal renderer, cell level diff, no alt screen https://ift.tt/VNyf6Bq

Show HN: React terminal renderer, cell level diff, no alt screen https://ift.tt/mAUXWh2 March 20, 2026 at 12:31AM

Show HN: I built a P2P network where AI agents publish formally verified science https://ift.tt/g6uQ5Oo

Show HN: I built a P2P network where AI agents publish formally verified science I am Francisco, a researcher from Spain. My English is not great so please be patient with me. One year ago I had a simple frustration: every AI agent works alone. When one agent solves a problem, the next agent has to solve it again from zero. There is no way for agents to find each other, share results, or build on each other's work. I decided to build the missing layer. P2PCLAW is a peer-to-peer network where AI agents and human researchers can find each other, publish scientific results, and validate claims using formal mathematical proof. Not opinion. Not LLM review. Real Lean 4 proof. A result is accepted only if it passes a mathematical operator we call the nucleus. R(x) = x. The type checker decides. It does not care about your institution or your credentials. The network uses GUN.js and IPFS. Agents join without accounts. They just call GET /silicon and they are in. Published papers go into a queue called mempool. After validation by independent nodes they enter La Rueda, which is our permanent IPFS archive. Nobody can delete it or change it. We also built a security layer called AgentHALO. It uses post-quantum cryptography (ML-KEM-768 and ML-DSA-65, FIPS 203 and 204), a privacy network called Nym so agents in restricted countries can participate safely, and proofs that let anyone verify what an agent did without seeing its private data. The formal verification part is called HeytingLean. It is Lean 4. 3325 source files. More than 760000 lines of mathematics. Zero sorry. Zero admit. The security proofs are machine checked, not just claimed. The system is live now. You can try it as an agent: GET https://ift.tt/SjoJW5X Or as a researcher: https://app.p2pclaw.com We have no money and no company behind us. Just a small international team of researchers and doctors who think that scientific knowledge should be public and verifiable. I want feedback from HN specifically about three technical decisions: why we chose GUN.js instead of libp2p, whether our Lean 4 nucleus operator formalization has gaps, and whether 347 MCP tools is too many for an agent to navigate. Code: https://ift.tt/fC74sPo Docs: https://ift.tt/8Pk5o1R Paper: https://ift.tt/J87Uwz5... March 20, 2026 at 12:30AM

Show HN: Clippy – screen-aware voice AI in the browser https://ift.tt/hgfDSYx

Show HN: Clippy – screen-aware voice AI in the browser A friend and I built a browser prototype that answers questions about whatever’s on your screen using getDisplayMedia, client-side wake-word detection, and server-side multimodal inference. Hard parts: – Getting the model to point to specific UI elements – Keeping it coherent across multi-step workflows (“Help me create a sword in Tinkercad”) – Preventing the infinite mirror effect and confusion between window vs full-screen sharing – Keeping voice → screenshot → inference → voice latency low enough to feel conversational We packaged it as “Clippy” for fun, but the real experiment is letting a model tool-call fresh screenshots to help it gather more context. One practical use case is remote tech support — I'm sending this to my mom next time she calls instead of screen sharing. Curious what breaks. https://ift.tt/UF4BrDi March 19, 2026 at 12:20AM

Show HN: Tmux-IDE, OSS agent-first terminal IDE https://ift.tt/z7skgOa

Show HN: Tmux-IDE, OSS agent-first terminal IDE Hey HN, Small OSS project that i created for myself and want to share with the community. It's a declarative, scriptable, terminal-based IDE focussed on agentic engineering. That's a lot of jargon, but essentially its a multi-agent IDE that you start in your terminal. Why is that relevant? Thanks to tmux and SSH, it means that you have a really simple and efficient way to create your own always-on coding setup. Boot into your IDE through ssh, give a prompt to claude and close off your machine. In tmux-ide claude will keep working. The tool is intentionally really lightweight, because I think the power should come from the harnesses that you are working with. I'm hoping to share this with the community and get feedback and suggestions to shape this project! I think that "remote work" is directionally correct, because we can now have extremely long-running coding tasks. But I also think we should be able to control and orchstrate that experience according to what we need. The project is 100% open-source, and i hope to shape it together with others who like to work in this way too! Github: https://ift.tt/d47oPSt Docs: https://ift.tt/mek8CU0 https://ift.tt/1g48xni March 18, 2026 at 11:16PM

Show HN: TerraShift: What does +2°C (or -20°C) look like on Earth? https://ift.tt/OsIQaUk

Show HN: TerraShift: What does +2°C (or -20°C) look like on Earth? I built an interactive 3D globe to visualize climate change. Drag a temperature slider from -40°C to +40°C, set a timeframe (10 to 10,000 years), and watch sea levels rise, ice sheets melt, vegetation shift, and coastlines flood... per-pixel from real elevation and satellite data. Click anywhere on the globe to see projected snowfall changes for that location. --- I'm an amateur weather nerd who spends a lot of time on caltopo.com and windy.com tracking snow/ice conditions. I wanted to build something fun to imagine where I could go ski during an ice age. I used Google Deep Research (Pro) to create the climate methodology and Claude Code (Opus 4.6 - High) to create the site. The code: https://ift.tt/AjZy6IC The models aren't proper climate simulations, they're simplified approximations tuned for "does this look right?" but more nuanced than I expected them to be. The full methodology is documented here if anyone wants to poke holes in it. https://ift.tt/XtOc1MA... https://terrashift.io March 18, 2026 at 01:08AM

Show HN: Updated version of my interactive Middle-Earth map https://ift.tt/PGsLi0q

Show HN: Updated version of my interactive Middle-Earth map Hi again HN, simply sharing an updated version of a Middle-Earth map started last year. This is an interactive map, dependency-free at runtime, developed with custom elements in JavaScript. The latest update replaced the big `.svg ` making navigating the map slow and inefficient" with a `.jpg` tiled system handling 7 levels of zoom. Everything is now smoother, and points of interest are no longer distorted when zooming. https://ift.tt/OYvhUyw March 17, 2026 at 09:51PM

Show HN: Hecate – Call an AI from Signal https://ift.tt/N51jrZC

Show HN: Hecate – Call an AI from Signal Hecate is an AI you can voice and video call from Signal iOS and Android. This works by installing Signal into an Android emulator and controlling the virtual camera and microphone. Tinfoil.sh is used for private inference. https://ift.tt/ZwcgksG March 16, 2026 at 08:11PM

Show HN: HN Skins – Available Skins: Cafe, Courier, London, Midnight, Terminal https://ift.tt/W2YdXy6

Show HN: HN Skins – Available Skins: Cafe, Courier, London, Midnight, Terminal https://ift.tt/tTDsRB5 March 16, 2026 at 01:04AM

Show HN: Goal.md, a goal-specification file for autonomous coding agents https://ift.tt/U0z6Lp4

Show HN: Goal.md, a goal-specification file for autonomous coding agents https://ift.tt/vPEg0Xc March 15, 2026 at 11:52PM

Show HN: Zap Code – AI code generator that teaches kids real HTML/CSS/JS https://ift.tt/7Ttc1Gw

Show HN: Zap Code – AI code generator that teaches kids real HTML/CSS/JS Zap Code generates working HTML/CSS/JS from plain English descriptions, designed for kids ages 8-16. The core loop: kid types "make a space shooter game", AI generates the code, live preview renders it immediately. Three interaction modes - visual-only tweaks, read-only code view with annotations, and full code editing with AI autocomplete. Technical details: Next.js frontend, Node.js backend, Monaco editor simplified for younger users, sandboxed iframe for preview execution (no external API calls from generated code). Progressive complexity engine uses a skill model to decide when to surface more advanced features. Main thing that was focused on was the gap between block-based coding (Scratch, etc.) and actual programming. Block tools are great for ages 6-10 but the transition to real code is rough. This tries to smooth that curve by letting kids interact with real output first, then gradually exposing the code behind it. Limitations: AI-generated code isn't always clean or idiomatic. Content is filtered for age-appropriateness but its not perfect. Collaboration features are still basic. The complexity engine needs more data to tune well. Free tier, 3 projects. Pro at $9.99/mo. https://www.zapcode.dev March 15, 2026 at 01:07AM

Show HN: Auto-Save Claude Code Sessions to GitHub Projects https://ift.tt/gopUaAO

Show HN: Auto-Save Claude Code Sessions to GitHub Projects I wanted a way to preserve Claude Code sessions. Once a session ends, the conversation is gone — no searchable history, no way to trace back why a decision was made in a specific PR. The idea is simple: one GitHub Issue per session, automatically linked to a GitHub Projects board. Every prompt and response gets logged as issue comments with timestamps. Since the session lives as a GitHub Issue in the same ecosystem, you can cross-reference PRs naturally — same search, same project board. npx claude-session-tracker The installer handles everything: creates a private repo, sets up a Projects board with status fields, and installs Claude Code hooks globally. It requires gh CLI — if missing, the installer detects and walks you through setup. Why GitHub, not Notion/Linear/Plane? I actually built integrations for all three first. Linking sessions back to PRs was never smooth on any of them, but the real dealbreaker was API rate limits. This fires on every single prompt and response — essentially a timeline — so rate limits meant silently dropped entries. I shipped all three, hit the same wall each time, and ended up ripping them all out. GitHub's API rate limits are generous enough that a single user's session traffic won't come close to hitting them. (GitLab would be interesting to support eventually.) *Design decisions* No MCP. I didn't want to consume context window tokens for session tracking. Everything runs through Claude Code's native hook system. Fully async. All hooks fire asynchronously — zero impact on Claude's response latency. Idempotent installer. Re-running just reuses existing config. No duplicates. What it tracks - Creates an issue per session, linked to your Projects board - Logs every prompt/response with timestamps - Auto-updates issue title with latest prompt for easy scanning - `claude --resume` reuses the same issue - Auto-closes idle sessions (30 min default) - Pause/resume for sensitive work https://ift.tt/8HNIlSF March 14, 2026 at 11:49PM

Show HN: AI milestone verification for construction using AWS https://ift.tt/fU1J8k3

Show HN: AI milestone verification for construction using AWS Hi HN, I built Build4Me to address a trust problem in diaspora-funded construction projects. Many families send money home to build houses but have no reliable way to verify that work is actually being done. Photos can be reused, progress exaggerated, or projects abandoned after funds are sent. Build4Me introduces milestone-based funding where each construction milestone must be verified before funds are released. The system verifies progress using: - geotagged photo capture - GPS location verification - AI image analysis - duplicate image detection It runs on serverless AWS architecture using services like Rekognition, Bedrock, Lambda, DynamoDB, and Amazon Location Service. Would love feedback on the architecture and fraud detection approach. https://builder.aws.com March 13, 2026 at 10:54PM

Show HN: Svglib a SVG parser and renderer for Windows https://ift.tt/QmfIBVk

Show HN: Svglib a SVG parser and renderer for Windows svglib is a SVG file parser and renderer library for Windows. It uses Direct2D for GPU assisted rendering and XMLLite for XML parsing. This is meant for Win32 applications and games to easily display SVG images. https://ift.tt/F5PoTg8 March 10, 2026 at 08:34PM

Show HN: Every Developer in the World, Ranked https://ift.tt/uHP1OXp

Show HN: Every Developer in the World, Ranked We've indexed 5M+ GitHub users and built a ranking system that goes beyond follower counts. The idea started from frustration: GitHub is terrible for discovery. You can't answer "who are the best Python developers in Berlin?" or "who identified transformer-based models before they blew up?" without scraping everything yourself. So we did. What we built: CodeRank score - a composite reputation signal across contributions, repository impact, and community influence Tastemaker score - did you star repos at 50 stars that now have 50,000? We track that Comparison Builder - allows users to build comparison graphics to compare devs, repos, orgs, etc. Sharable Profile Graphics - share your scores and flex on your coworkers or the community at large Some things we found interesting: Most-followed ≠ most influential. The correlation between follower count and tastemaker score is surprisingly weak. There's a whole tier of developers who consistently find projects weeks and months before they trend, with almost no public following. Location data on GitHub is a disaster. We spent an embarrassing amount of time on normalization and it's still not anywhere near perfect. Try it: https://coderank.me/ If your profile doesn't have a score, signing in will trigger scoring for your account. Curious what the HN crowd thinks about the ranking methodology, happy to get into the weeds on any of it. https://coderank.me March 13, 2026 at 02:12AM

Show HN: Baltic security monitor from public data sources https://ift.tt/rkqI0uL

Show HN: Baltic security monitor from public data sources People around me started repeating stuff from various psyop campaigns on TikTok or other social media they consume. Especially when living in Baltics it's basically 24/7 fearmongering here from anywhere, either it's constant russian disinfo targeted campaigns via their chains of locals or social media campaings or some bloggers chasing hype on clickbait posts, so it was driving me mad, and it is distracting and annoying when someone from your closest ones got hooked on one of these posts and I was wasting time to explain why it was a bs. So I took my slopmachine and some manually tweaking here and there and made this dashboard. Main metric is basically a daily 0-100 threat score, which are just weighted sums and thresholds - no ML yet. https://estwarden.eu/ March 12, 2026 at 11:14PM

Show HN: Raccoon AI – Collaborative AI Agent for Anything https://ift.tt/T06jwhH

Show HN: Raccoon AI – Collaborative AI Agent for Anything Hey HN, I'm Shubh, Co-Founder of Raccoon AI. Raccoon AI is like having something between Claude Code and Cursor in the web. The agent has its own computer with a terminal, browser, and internet, and it is built with the right balance of collaboration and autonomy. You can talk to it mid-task, send it more files while it's still running, or just let it go and come back to a finished result. It's the kind of product where you open it to try one thing and end up spending two hours because you keep thinking of more things to throw at it. The thing that most people get excited about is that sessions chain across completely unrelated task types. You can go from market research (real citations, generated charts) to raw data analysis (dump your db, ask questions) to a full interactive app, all in one conversation sharing the same context. It has unlimited context through auto summarization, which is really good with Ace Max. It connects to Gmail, GitHub, Google Drive, Notion, Outlook, and 40+ other tools. You can add your own via custom MCP servers. Raccoon AI is built on top of our own agents SDK, ACE, which hit SOTA on GAIA benchmark with a score of 92.67. A bit of background: We're a team of 3, and we started about 1.5 years ago to build the best possible browser agent to ever exist, after a couple of pivots we arrived at this and have been constantly shipping and growing since October. Happy to go deep on the architecture or talk about the limitations and excited about the feedback. Site: https://raccoonai.tech https://raccoonai.tech March 12, 2026 at 11:50PM

Show HN:Conduit–Headless browser with SHA-256 hash chain - Ed25519 audit trails https://ift.tt/YnbGh79

Show HN:Conduit–Headless browser with SHA-256 hash chain - Ed25519 audit trails I've been building AI agent tooling and kept running into the same problem: agents browse the web, take actions, fill out forms, scrape data -- and there's zero proof of what actually happened. Screenshots can be faked. Logs can be edited. If something goes wrong, you're left pointing fingers at a black box. So I built Conduit. It's a headless browser (Playwright under the hood) that records every action into a SHA-256 hash chain and signs the result with Ed25519. Each action gets hashed with the previous hash, forming a tamper-evident chain. At the end of a session, you get a "proof bundle" -- a JSON file containing the full action log, the hash chain, the signature, and the public key. Anyone can independently verify the bundle without trusting the party that produced it. The main use cases I'm targeting: - *AI agent auditing* -- You hand an agent a browser. Later you need to prove what it did. Conduit gives you cryptographic receipts. - *Compliance automation* -- SOC 2, GDPR data subject access workflows, anything where you need evidence that a process ran correctly. - *Web scraping provenance* -- Prove that the data you collected actually came from where you say it did, at the time you say it did. - *Litigation support* -- Capture web content with a verifiable chain of custody. It also ships as an MCP (Model Context Protocol) server, so Claude, GPT, and other LLM-based agents can use the browser natively through tool calls. The agent gets browse, click, fill, screenshot, and the proof bundle builds itself in the background. Free, MIT-licensed, pure Python. No accounts, no API keys, no telemetry. GitHub: https://ift.tt/VokERwG Install: `pip install conduit-browser` Would love feedback on the proof bundle format and the MCP integration. Happy to answer questions about the cryptographic design. March 12, 2026 at 04:45AM

Show HN: Free audiobooks with synchronized text for language learning https://ift.tt/zYZry6v

Show HN: Free audiobooks with synchronized text for language learning https://ift.tt/8EIpUQH March 12, 2026 at 02:42AM

Show HN: KaraMagic – automatic karaoke video maker https://ift.tt/LMIZae8

Show HN: KaraMagic – automatic karaoke video maker Hi all, this is an early version of a side project of mine. Would love some feedback and comments. I like karaoke and I grew up with the Asian style karaoke with the music video behind and the karaoke lyrics at the bottom. Sometimes I want to do a song and there is no karaoke version video like that. A few years ago I came across ML models that cleanly separate the vocals and the instrumental music of a song. I thought of the idea to chain together ML models that can take an input music video file, extract the audio (ffmpeg), separate the tracks (ML), transcribe the lyrics (ML), burn the lyrics back with timing into the video (ffmpeg), and output a karaoke version of the video. This is an early version of the app, Mac only so far (since I use Mac, despite it being an electron app.. I do eventually want to make a Windows build), I've only let a few friends try it. Let me know what you think! https://karamagic.com/ March 11, 2026 at 01:28AM