SnapVibr
Discover what people think of your site in 5 seconds flat
What it does
You spent 3 months building your SaaS. Visitors decide whether to stay in 3 seconds. SnapVibr gives you rapid, honest feedback from real founders through 5-second swipes and 1-tap friction chips. Find out what's confusing, what builds trust, and what makes visitors bounce—before you spend more time and money driving traffic. 100% free, forever. Try SnapVibr: https://snapvibr.com
Discover what people think of your website in 5 seconds. Collect rapid anonymous gut reaction verdicts, clean scores, and actionable feedback.
Pure swiping is too shallow; forms kill the fun. SnapVibr gives creators instant gut-check metrics without slowing down the reviewer. Jump straight into real public decks created by founders, indie makers, and designers. 5-second gut check test on headline, value proposition, and visual hierarchy. Quick 5-second review: Does Railway's landing page instantly convey its value? Quickly gauge if Calendly feels intuitive and valuable in 5 seconds. Ask reviewers for their 5-second gut check on Loom's landing page. Review live community landing pages back-to-back with automatic 5-second countdowns. Vote with arrow keys or swipes without page reloads or pauses. Reviewers see the website screenshot…from snapvibr.com
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