FluidDocs CLI
Publish interactive docs that answer and report back
What it does
FluidDocs CLI turns your prompts into interactive documents that answer questions and report back. You see who opened it, how far they got, and what they asked. Pitch decks, proposals, reports, board updates. One line installs the CLI and one command publishes. Edit later by prompt, and the same link updates. Viewer-side AI-enabled Q&A and analytics come built in.
Publish a pitch deck, proposal or market report from your terminal. It answers your reader
Pitch decks, market reports, sales proposals, board updates, CVs. Whatever you built with Claude or ChatGPT becomes a live document: readers ask it anything and pull a summary in your voice, and it reports back on who read what. No reply-all thread. They ask the document and get an answer from its own contents, in your voice. Who opened it, how far they got, and the questions they typed instead of emailing you. Edit it later and the same link updates. Nothing to re-export, re-attach or re-send. Canva and Gamma made documents prettier. Nobody made them work after you hit send. Any document type you publish through FluidDocs keeps doing its job once the link is out of your hands. Each one is…from fluiddocs.ai
Does the same job
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DocsAlot CLI28d ago · docs.docsalot.dev · ▲196Let Claude or Codex create and maintain good looking docs


More ai this month
the category →
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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


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 · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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.
AI · 17d ago · simedw.com