Growth Pilot
Find local leads, prove they need you, and win the work
What it does
Most lead tools hand you a list. Growth Pilot hands you a reason to call. Pick a city and a category. It finds the businesses, crawls each site and scores it — so every lead comes with the evidence: no website, slow pages, missing local listings. Then audits, keywords, backlinks, pipeline and client reports in the same workspace. Free plan, no card.
Growth Pilot is the AI growth operating system for agencies: discover leads, audit their websites, win the work, deliver it, and prove the result — in one workspace, with the evidence attached to every claim.
Discover leads, prove what is wrong with a prospect's digital presence, win the work, deliver it, and show the result — in one workspace, with the evidence attached to every claim. Not a tour of a marketing page. These are the application's own components, rendered with sample data — which is why they cannot drift from what you get. A bounded crawl, around twenty deterministic rules, and a health score whose arithmetic is shown. Deals move by dragging. Every stage change is written to the lead's timeline. Which clients are at risk this month, and what should I do about the worst one? Three engagements are in the at risk band. Harbour Point Clinic is the worst: health fell from 71 to 48…from growthpilot.avryxa.com
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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