Adtivity
Know which customers are about to churn, while you can act.
What it does
A happy customer and one about to cancel look identical in a normal dashboard, until it's too late. Adtivity scores churn risk per customer, tracks MRR and lifecycle, and fires plain-English Pulse Alerts the moment risk spikes. Auto-installs via MCP + SDK. Free for solo founders.
Adtivity turns your product, payment, and on-chain data into a signal you can read, share, and act on. One dashboard for MRR, lifecycle, Web3, and traction. Built for founders.
Your product analytics and revenue in one place — see who's paying, who's churning, and who's about to leave. Every campaign you run, every feature you ship, every user who shows up — Adtivity pulls it into one graph. Built for founders who need answers at 2 AM, not dashboards they'll never open. Whether you're shipping an AI agent, a consumer app, or a wallet, the metrics layer is the same. Ten modules shown, more shipping monthly. Filter by what your team cares about — we won't tell the others. See who's about to leave before they do. Adtivity scores every user and account on real visit rhythm — not vanity metrics — then tells you who's slipping, why, and who to reach out to first. The…from adtivity.xyz
Does the same job
all alternatives →More growth this month
the category →
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