
Framewise
Pre-publish packaging read for YouTube creators.
What it does
Framewise helps YouTube creators evaluate a working title, thumbnail text, and video angle before publishing. It scores packaging clarity, click motivation, audience fit, and packaging synergy, then explains the weakest spots and suggests stronger rewrites without leaning on cheap clickbait.
Does the same job
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- IBI built an idea to video app2024 · frameloop.ai · ▲8
Frameloop is an AI-powered video creation and automation tool, that turns ideas into publishable videos within seconds. I've been working on this for past 4 months now, and have few paying customers as well. Most of them are individual creators, and about 20% are businesses. I'd like to focus more on business users going forwards, and am building branded video features for businesses. There are many other tools at this point, but my focus has been to focus on great UX, and giving users a really good first draft, which is easily editable. And I think that focus is what differentiates us. Try…
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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.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
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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
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