Tripo
Increase your revenue without increasing acquisition cost
What it does
Stop letting free trial users walk away without upgrading. Tripo helps SaaS founders and marketers unlock hidden revenue by turning more free trial signups into loyal, paying customers. Get a complete, done-for-you trial conversion audit for free
Increase your SaaS conversions with CRO optimization. Landing pages, onboarding, lifecycle emails, and activation content. Tripo helps SaaS companies grow revenue.
Tripo is your CRO partner. We optimize landing pages, onboarding flows, and lifecycle emails to turn more visitors into customers. Fix the leaks between discovery and payment with data-driven changes, activation content, and time-to-value optimization. Most SaaS companies focus on acquiring new users, but they miss optimization opportunities across the entire customer journey — landing pages, onboarding, activation, and retention. The result is revenue slipping away at every step. Tripo finds those leaks and fixes them. Behaviour-triggered onboarding, nudges, and win-back flows that speak to what the user actually did. We reduce friction at every step — from discovery to activation. Faster…from tripo.dimarket.biz
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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 · 17d ago · simedw.com