CatchDiff — 92 Minutes → 3 Minutes
Document comparison that actually works.
What it does
Compare tools match page numbers. Pages shift, they break. CatchDiff matches content. Added pages, moved sections, changed numbers — found in minutes. Contracts. Drawings. Theses. SOWs. What took hours now takes minutes. Zero false positives.
Does a similar job
all alternatives →- PDPDF-Diff - Visualize any differences between two PDFs2022 · github.com · ▲169
- DTDocfd: TUI multiline fuzzy document finder2024 · github.com · ▲44
Think interactive grep for text files, PDFs, DOCXs, etc, but word/token based instead of regex and line based, so you can search across lines easily. Docfd aims to provide good UX via integration with common text editors and PDF viewers, so you can jump directly to a search result with a single key press. --- I originally wrote this tool to help me dig through text/markdown notes, since very often I want to search for a phrase of sorts that may span across multiple lines, but constructing the corresponding multiline regex is a bit painful (especially painful if I want to account…
RealDiff – runtime behavior diffing for pull requests (six languages)10d ago · github.com · ▲40Runtime behavior diffs for pull requests. Contribute to issacnitin/RealDiff development by creating an account on GitHub.
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
