YEpsilon AI
AI Agent for B2B Marketing Teams.
What it does
YEpsilon is an AI agent for B2B marketing teams. Turn CRM and product data into live campaigns that close the MQL-to-SQL gap and drive ROAS on Google, LinkedIn, and Meta. Target the right people, automatically.
AI agent for B2B marketing teams. Turn CRM and product data into live campaigns that close the MQL-to-SQL gap and drive ROAS on Google, LinkedIn, and Meta.
YEpsilon connects what your CRM, product analytics, and website behavior already know — and keeps your campaigns targeting the right people, automatically. Connecting CRM, product analytics, and website signals into a single live audience picture — then keeping campaigns aligned with it across every platform, continuously. Your best customers have a pattern. Your campaigns are still targeting the profile you built two quarters ago. Audience behavior shifts. Most teams find out weeks later, in a ROAS report. By then, the budget’s already gone. A campaign that takes your team a week to build and launch shouldn’t. That time belongs to strategy. Underperforming campaigns keep running longer…from yepsilon.ai
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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