DeepReachAI
Your AI Employee for Outbound Sales
What it does
DeepReachAI is an AI employee for outbound sales that helps businesses find prospects, research leads, and automate personalized outreach. Unlike traditional lead-generation tools, DeepReachAI brings prospecting and outreach together in one AI-powered workflow, so sales teams can spend less time searching and more time closing.
AI cold email personalization software for research-backed outreach. Find the right buyers and start a better conversation. Start free.
Research a single prospect before you reach out, or describe a market and discover high-fit businesses in bulk. Every message starts with real context. DeepReachAI connects public business signals, decision-maker context, and company updates so you can build a focused list or write a message backed by something real. Tell us who you want to reach. Add the company name, your target contact, and your outreach goal. Our AI digs deep — recent news, LinkedIn activity, company updates, funding rounds, and more. Receive subject options and a human-sounding message that match your outreach goal. Replace generic outreach and manual list building with research that moves straight into action. I hope…from deepreachai.tech
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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…
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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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