
Aİ HUB
17 AI tools, one platform, zero hassle
What it does
AI Hub – 17 AI Tools in One Platform Stop paying for multiple AI subscriptions. AI Hub gives you 17 powerful AI tools in one place: 🤖 ChatGPT-style AI Chat 🖼️ AI Image Editor – edit photos with prompts 📄 CV Generator – professional resumes in seconds 💻 Code Assistant – write & debug code 🌍 Translator – 50+ languages ✉️ Email Writer, Math Solver, OCR, Logo Creator & more ✅ Free to start – no credit card required ✅ All tools accessible from one dashboard ✅ Powered by latest AI models
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Over the last 3 weeks, I built a website to organize 70+ AI tools into a searchable, reviewed, and categorized hub. Use case: I was constantly sharing AI tools with friends & colleagues, but the available directories felt outdated, shallow, or spammy. So I built my own: - Tools are categorized (e.g. writing, voice, code, automation) - Marked clearly as free/paid - Includes brief reviews, ROI notes, and usage tips - Fully searchable and updated daily - Working on tool ratings, comparisons, and a “trending” leaderboard Website: https://www.toolsverse.tools/ I’d love…

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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
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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…
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Switch from ChatGPT to Claude with import memory feature
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