ReplyRaven
Find customers who already want to buy your product
What it does
Every day, thousands of people ask for product recommendations on Reddit, Hacker News, and X. Your ideal customers are already describing their problems, and looking for solutions like yours. ReplyRaven monitors these conversations 24/7 and surfaces the ones that match your product. How it works: 1. Describe your product and add keywords 2. ReplyRaven scans Reddit, HN, and X daily 3. Get AI-drafted replies tailored to each conversation 4. Review, edit, and post from your own accounts
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- RAReplyGuy – AI Reddit auto replies for lead gen and brand protection2023 · replyguy.com · ▲7
Excited to share something I've been building recently called ReplyGuy. I made it to solve a personal pain with a SaaS product I built, which was that we were always monitoring Reddit and Twitter to see if anyone had mentioned keywords indicating they were looking for us. Before, we had to go manually respond to posts, often missing good mention opportunities. Would love for HN folks to try it and let me know what you think!
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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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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 · 27d ago · cactuscompute.com
