Overlead
Find customers who are literally asking for your product
What it does
While you're busy with SEO grind, running ads and writing blog posts, people are literally asking for your product on the internet right now. You're just not there to answer. Overlead finds threads where someone is actively looking for what you sell, asking for recommendations, complaining about competitors, or describing the exact problem you solve. No subscriptions. With less than 3 clicks you get ~25 high intent threads. Stop guessing where buyers are. With Overlead, just reply and convert.
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- IMI made a fool that finds potential customers for you2024 · ▲5
Hey everyone! I wanted to share a tool I built to help you quickly find potential customers across social media for your product. It's a really simple concept: you simply paste in your landing page URL, and it shows you highly relevant posts across Reddit (Working to integrate few more) from people who likely need your product or service. For example, if you have a minimal to-do list app, it will show you posts like "Anyone know of a minimal to-do list app?" or "Really starting to dislike how complex Notion is." These posts are from the last 48 hours, updated in real-time, and uniquely…
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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…
AI · 27d ago · cactuscompute.com
