
FanFuel
Stop guessing. Let comments pick your next video
What it does
Paste your YouTube, TikTok, Instagram, Reddit or X comments → get 8–12 ready-to-use content ideas in seconds. Each idea includes: • Click-worthy title • Best format (Long video, Short/Reel, Thread, Newsletter…) • Strong hook • 2–4 real audience quotes • One-click markdown copy theme cloud & quick stats (e.g. “Analyzed 412 comments • Top request: beginner tips”) Early MVP – no login needed, 3 free runs/day. Brutally honest feedback welcome! Try it: https://www.fanfuel.art/
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YouTube Video Ideas GeneratorMar 2026 · ▲42Paste your website. Get buyer-intent YouTube video ideas.

- IMI made a tool that turns images into videos to boost our Twitter reach2023 · clippulse.com · ▲9
Recently there were some changes to the Twitter algorithm and one of the most important ones was boosting video content even more in the feed, which got me thinking: "Why shouldn't we benefit from the algo changes and get a boost every time we are sharing some visuals?" So I spent the weekend building a tool that: - Turns your images into videos - Has 30 beautiful animated gradients that we can pick from - Is completely FREE I'd love to know your thoughts about it!
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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

