Tune2all
Find prospects. Personalize outreach. Sell faster with AI.
What it does
Tune2all finds qualified B2B companies, generates personalized outreach for each prospect, and continuously improves using real replies. Built with BYOK AI, intent-aware prospecting and automated follow-ups, it helps teams sell faster while keeping AI costs under control.
Find qualified companies, generate personalized outreach, and learn from real replies with continuous prospecting and BYOK AI.
Tune2all understands your business from its website, discovers companies with fit and public contact details, creates each approach in the recipient's language, and learns from real replies. Tune2all is an AI-powered B2B prospecting platform. It turns public evidence into a supervised discovery, qualification, outreach, and learning cycle—without generic lists or one-size-fits-all templates. We read your website and infer product, positioning, ICP, personas, pains, and buying signals. You correct only what is needed and define strategic instructions for email, follow-up, and reply. Continuous research finds companies, validates fit and public contact details, and creates a unique message in…from tune2all.com
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
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