Splitsense
Turn user behaviour into higher conversions with AI
What it does
Connect your website and let Splitsense AI do the heavy lifting. The platform analyses your analytics and session recordings, spots conversion blockers, answers questions about your users through AI chat, then creates and runs A/B tests to find what works best. No endless dashboards, no hours spent watching recordings, and no need to write every variation yourself. Just connect your site, ask questions, and let your website get better over time.
Connect your website and let AI automatically generate, test, and optimise variations. Increase conversions without writing a single line of copy.
Splitsense analyzes your entire website, uncovers what's hurting conversions, and continuously ships experiments to improve performance. Your site already gets traffic, but you're missing revenue, new users, and signups from visitors you already have. You spend thousands a year on CRO experts and employees, and still wait weeks to find what's hurting conversions. Splitsense is for brands, startups, ecommerce and enterprise that need to optimize the path to conversion, with no CRO hire required. It is for larger CRO teams too, where your agent works 24/7 flagging and fixing issues so your team ships faster without burning hours on manual audits. Manual audits and spreadsheet-backed…from splitsense.ai
Does the same job
all alternatives →More growth this month
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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