ReachFast
Your next customers are already asking on X
What it does
ReachFast reads your website, Etsy shop, app page or freelance profile, understands what you sell and builds a profile of your target customer. Then it finds public posts on X where people ask for exactly that. An AI judge scores every post for buying intent, so you get warm leads instead of keyword noise, fresh every 24 hours. No keywords, no linked accounts, no automated outreach: you reply as yourself and the conversation stays yours. 7 day free trial.
ReachFast is the warm lead tool for people selling online: it reads your website, finds people publicly asking for your product on X, and ranks them by buying intent.
ReachFast finds people asking for your products on X, and ranks them by how ready they are to buy. On another note, i need me a Korean skincare routine. Help a brother should i up my skincare routine?!? right now i exfoliate my face and body like twice a week, and use a face wash daily while also using moisturizer on my face and body daily. i see some dudes with a full on routine for their face though…. why do i have wrinkles around my eyes at age 21. guys. ik i’m chronically stressed but like i need a new skincare routine that’ll minimize them I want the Patrick Bateman skincare routine but I don’t wanna spend hundreds of dollars on products. ReachFast reads it and understands what you…from reachfa.st
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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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Launched alongside, August 2026
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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.
AI · 16d ago · simedw.com