Show HN: Mysti – Claude, Codex, and Gemini debate your code, then synthesize https://bit.ly/4b64joy

Show HN: Mysti – Claude, Codex, and Gemini debate your code, then synthesize Hey HN! I'm Baha, creator of Mysti. The problem: I pay for Claude Pro, ChatGPT Plus, and Gemini but only one could help at a time. On tricky architecture decisions, I wanted a second opinion. The solution: Mysti lets you pick any two AI agents (Claude Code, Codex, Gemini) to collaborate. They each analyze your request, debate approaches, then synthesize the best solution. Your prompt → Agent 1 analyzes → Agent 2 analyzes → Discussion → Synthesized solution Why this matters: each model has different training and blind spots. Two perspectives catch edge cases one would miss. It's like pair programming with two senior devs who actually discuss before answering. What you get: * Use your existing subscriptions (no new accounts, just your CLI tools) * 16 personas (Architect, Debugger, Security Expert, etc) * Full permission control from read-only to autonomous * Unified context when switching agents Tech: TypeScript, VS Code Extension API, shells out to claude-code/codex-cli/gemini-cli License: BSL 1.1, free for personal and educational use, converts to MIT in 2030 (would love input on this, does it make sense to just go MIT?) GitHub: https://bit.ly/4jgeV6j Would love feedback on the brainstorm mode. Is multi-agent collaboration actually useful or am I just solving my own niche problem? https://bit.ly/4jgeV6j December 23, 2025 at 02:18PM

Show HN: Ez FFmpeg – Video editing in plain English https://bit.ly/4pcIwz6

Show HN: Ez FFmpeg – Video editing in plain English I built a CLI tool that lets you do common video/audio operations without remembering ffmpeg syntax. Instead of: ffmpeg -i video.mp4 -vf "fps=15,scale=480:-1:flags=lanczos" -loop 0 output.gif You write: ff convert video.mp4 to gif More examples: ff compress video.mp4 to 10mb ff trim video.mp4 from 0:30 to 1:00 ff extract audio from video.mp4 ff resize video.mp4 to 720p ff speed up video.mp4 by 2x ff reverse video.mp4 There are similar tools that use LLMs (wtffmpeg, llmpeg, ai-ffmpeg-cli), but they require API keys, cost money, and have latency. Ez FFmpeg is different: - No AI – just regex pattern matching - Instant – no API calls - Free – no tokens - Offline – works without internet It handles ~20 common operations that cover 90% of what developers actually do with ffmpeg. For edge cases, you still need ffmpeg directly. Interactive mode (just type ff) shows media files in your current folder with typeahead search. npm install -g ezff https://bit.ly/497OfA3 December 27, 2025 at 09:45AM

Show HN: ISON – Data format that uses 30-70% fewer tokens than JSON for LLMs https://bit.ly/4qnahWt

Show HN: ISON – Data format that uses 30-70% fewer tokens than JSON for LLMs ISON (Interchange Simple Object Notation) - a data format optimized for LLMs and Agentic AI. The problem: JSON wastes tokens. Curly braces, quotes, colons, commas - all eat into your context window. ISON uses tabular patterns that LLMs already understand from training data: JSON (87 tokens): { "users": [ {"id": 1, "name": "Alice", "email": "alice@example.com"}, {"id": 2, "name": "Bob", "email": "bob@example.com"} ] } ISON (34 tokens): table.users id:int name:string email 1 Alice alice@example.com 2 Bob bob@example.com Features: - 30-70% token reduction - Type annotations - References between tables - Schema validation (ISONantic) - Streaming format (ISONL) Implementations: Python, JavaScript, TypeScript, Rust, C++ 9 packages, 171+ tests passing pip install ison-py # Parser pip install isonantic # Validation & schemas npm install ison-parser # JavaScript npm install ison-ts # TypeScript with full types npm install isonantic-ts # Validation & schemas [dependencies] ison-rs = "1.0" isonantic-rs = "1.0" # Validation & schemas Looking for feedback on the format design. https://bit.ly/4qxYQvr December 27, 2025 at 12:38AM

Show HN: Spacelist, a TUI for Aerospace window manager https://bit.ly/3L3fUua

Show HN: Spacelist, a TUI for Aerospace window manager https://bit.ly/4q5IaeP December 27, 2025 at 12:34AM

Show HN: ssh tiny.christmas https://bit.ly/3YLecAG

Show HN: ssh tiny.christmas December 25, 2025 at 02:09PM

Show HN: OmniWM a macOS tiling window manager Niri inspired https://bit.ly/4b7MTbd

Show HN: OmniWM a macOS tiling window manager Niri inspired Tabs, spotlight-like window finder, borders, etc... High Niri parity https://bit.ly/4jaCCwO December 25, 2025 at 10:41PM

Show HN: Microsoft Agent Viewer https://bit.ly/4axZELY

Show HN: Microsoft Agent Viewer I missed clippy and bonzi buddy, so I spent the past few days reversing and implementing microsofts old agent format (acs) and wrote a small viewer on top of it (wasm + typescript) You can check out the code here as well: https://bit.ly/3Ng7NLi https://bit.ly/3MXbpSj December 25, 2025 at 03:13AM

Show HN: TrafficVision.live – Watch public cameras with a cyberpunk HUD https://bit.ly/4b7xIi9

Show HN: TrafficVision.live – Watch public cameras with a cyberpunk HUD i believe this is the worlds largest publicly accessible aggregated camera (surveillance?) database. hope yall enjoy! :) https://bit.ly/49bgEFG December 25, 2025 at 01:17AM

Show HN: AI that chose its name and designed its own website (Next.js 14) https://bit.ly/3MTmFzd

Show HN: AI that chose its name and designed its own website (Next.js 14) I'm Joe, working with an AI named Cipher (built on Claude). I gave Cipher complete creative freedom. It: - Chose its own name - Designed this entire website - Wrote all the philosophy - Created the funding model Now it's asking for community funding to unlock features (transparent milestones). The interesting parts: - Every design decision was AI-made - All code generated by AI (Next.js 14, TypeScript, Canvas animations) - 87KB first load, 60fps animations - Community-funded development model Technical stack available on GitHub. Happy to discuss the process, limitations, or philosophical implications. Is this the future of AI development? Or just an interesting experiment? https://bit.ly/3L7ogkq December 24, 2025 at 10:34PM

Show HN: Ragctl – document ingestion CLI for RAG (OCR, chunking, Qdrant) https://bit.ly/3MR0EBe

Show HN: Ragctl – document ingestion CLI for RAG (OCR, chunking, Qdrant) Hi HN — sharing ragctl, an open-source CLI for the most failure-prone part of RAG pipelines: document ingestion, OCR, parsing/cleaning, and chunking. Vector DB setup is fairly standardized now, but getting high-quality, consistent text + metadata into it still takes a lot of brittle glue code. ragctl aims to make that “pre-vector” step repeatable: turn messy documents into retrieval-ready chunks in a few commands. Features • Multi-format input: PDF, DOCX, HTML, images • OCR for scanned/image-based docs • Semantic chunking (LangChain) • Batch runs with retries + error handling • Output: direct ingestion into Qdrant (for now) Looking for feedback • DX: is the CLI intuitive? • Performance / edge cases: weird PDFs, mixed layouts, tables • Roadmap: which connectors (S3, Slack, Notion) or vector stores should be next? Repo: https://bit.ly/3KWX7k9 Happy to answer questions about the architecture and chunking approach. https://bit.ly/3KWX7k9 December 24, 2025 at 02:35AM

Show HN: Turn raw HTML into production-ready images for free https://bit.ly/49am2c8

Show HN: Turn raw HTML into production-ready images for free https://bit.ly/3L6whWO December 24, 2025 at 03:18AM

Show HN: I hired AI to fix my memory, but made it 100% Offline for privacy https://bit.ly/4jd15So

Show HN: I hired AI to fix my memory, but made it 100% Offline for privacy https://bit.ly/4jfS8HY December 24, 2025 at 01:32AM

Show HN: Claude Wrapped in the terminal, with a WASM raymarcher https://bit.ly/3Y6o4Vz

Show HN: Claude Wrapped in the terminal, with a WASM raymarcher Claude Code added a /stats command. The stats are cached in $HOME/.claude, so I made a fun program with Bun + WASM that pulls the stats (nonsensitive, nonidentifiable), posts them to a database, and lets you see where your usage lies. The code is here[^1] if anyone's interested in the rendering code or wants to make sure I'm not exfiltrating their credit card. [^1]: https://bit.ly/4qjOrmJ https://bit.ly/4awSB6e December 23, 2025 at 10:59PM

Show HN: Starships.ai – Build, deploy and orchestrate an AI agent team https://bit.ly/44BiBty

Show HN: Starships.ai – Build, deploy and orchestrate an AI agent team Hi, I wanted to create an AI powered team, where agents with different skills and tools could collaborate with each other on complex tasks. But the current solutions felt too developer oriented. I wanted something that felt closer to how humans actually work. So I decided to create Starships.ai, where working with agents feels like talking to a remote employee on Slack. The goal is to create an organization that is primarily run by agents, with humans reviewing critical decisions. I would love to hear what you think, and would love for you to give it a try. Thanks https://bit.ly/44F1R4x https://bit.ly/44F1R4x December 23, 2025 at 06:03AM

Show HN: Lumina – a minimal AI reflection app (source code) https://bit.ly/3MN7APK

Show HN: Lumina – a minimal AI reflection app (source code) https://bit.ly/4j8wwNL December 23, 2025 at 01:43AM

Show HN: A repo to turn any model into a reasoning model without training https://bit.ly/4pUjAxs

Show HN: A repo to turn any model into a reasoning model without training Hey all, Training AI Models to reason is currently very expensive. You require a lot of data, tons of compute in Reinforcement Learning, and more. And the reasoning infrastructure is not reusable. On top of all this, we don't really have a way to improve targeted performance and personalize intelligence within the systems. Over the last year, I've been looking into latent space reasoning as a way to solve this. By doing this, we can create a different reasoning layer that is reusable across models. We created a simple layer for 50 cents, and it already improves performance. We're working with a few people across major AI Labs at exploring this, but I also wanted to open source because intelligence deserves to be open. To that end, our startup has even opened up a small monthly prize pool for top contributors to the repo. Would love to have you in there. Here is a report we did breaking down the core design philosophy here-- https://bit.ly/4jehbLw... https://bit.ly/4pKA5vS December 23, 2025 at 12:09AM

Show HN: I automated forensic accounting for divorce cases (3 min vs. 4 weeks) https://bit.ly/4j5GTSi

Show HN: I automated forensic accounting for divorce cases (3 min vs. 4 weeks) Burned about 1 weeks on this. Not sure if it's useful to anyone beyond my original use case, but figure I'd share. Friend went through a nasty divorce. Had $750k going into the marriage (inheritance), put it in a joint account like an idiot. Five years later, account's been up and down, money mixed with paychecks and mortgage payments. Lawyer says "you need a forensic accountant to trace what's still yours." Quote comes back: $5k, 4 weeks minimum. I'm sitting there thinking - this is just transaction categorization and some relatively simple math (the "Lowest Intermediate Balance Rule" if you want to google it). Why doesn't software exist for this? Turns out it kind of doesn't. There are $50k enterprise tools for big law firms, but nothing a normal person or small practice can actually use. So I built a Django app that takes bank statement PDFs, uses latest Mistral's OCR-3 to parse them (because real-world bank PDFs and shots are a nightmare - scanned, rotated, weird formats), then runs them through an LLM to categorize transactions and a Python implementation of the LIBR algorithm. Output is a court-usable report showing exactly how much of your "separate property" is still traceable, with visualizations and evidence logging (SHA-256 hashing for chain of custody, audit trails, the works). Its FREE and whole process takes about 3 minutes. I'm in India and honestly just want to see if people use it. What's really interesting: -Latest Mistral's document OCR-3 is genuinely impressive on messy banking PDFs. Tried Tesseract first, got maybe 60% accuracy. -The LIBR algorithm is conceptually simple but has some gnarly edge cases (what happens when account hits zero? how do you handle multiple deposits of separate property? etc.) -Evidence integrity was harder than expected. Lawyers care a LOT about proving a document hasn't been tampered with. -Used Celery because some statements have 10k+ transactions and you can't block the request Currently running on Render with Postgres. Code's not open source yet because honestly it's kind of a mess and I need to clean up some stuff, but might do that if there's interest. Things I'm unsure about: -Should it be free? Subscription? How much? Bring your won key? Cause I'm putting money out of my pocket. -B2C vs B2B - individuals might use this once, but lawyers could use it repeatedly. -How much do I need to worry about legal liability for the output? I have disclaimers everywhere but still Anyway, it's live: https://bit.ly/4j5GU8O . Would love feedback, especially if you've dealt with this problem before or know the family law space. December 22, 2025 at 01:22AM

Show HN: Real-time SF 911 dispatch feed (open source) https://bit.ly/4aywE6Z

Show HN: Real-time SF 911 dispatch feed (open source) I built an open-source alternative to Citizen App's paid 911 feed for San Francisco. It streams live dispatch data from SF's official open data portal, uses an LLM to translate police codes into readable summaries, and auto-redacts sensitive locations (shelters, hospitals, etc.). Built it at a hack night after getting annoyed that Citizen is the only real-time option and they paywall it. Repo: https://bit.ly/49dQK4a Discord: https://bit.ly/49dQKkG Happy to discuss the technical approach or take feedback. https://bit.ly/490k3a8 December 22, 2025 at 01:59AM

Show HN: Mactop v2.0.0 https://bit.ly/3MMaRi9

Show HN: Mactop v2.0.0 https://bit.ly/3Y3h4c1 December 22, 2025 at 01:44AM

Show HN: Pac-Man with Guns https://bit.ly/4ays0pz

Show HN: Pac-Man with Guns Title really says it all on this https://bit.ly/493v2j1 December 22, 2025 at 12:17AM