ReputeAI
Reply to every Google review in 30 seconds, not 30 minutes
What it does
63% of Google reviews never get a reply — not because owners don't care, but because they're running the kitchen, the front desk, and everything in between. ReputeAI watches your Google Business Profile and drafts a reply the moment a new review lands. Sounds like you. Human approval before anything posts. Fixed pricing. No per-reply fees. GDPR-native. Built for restaurants, hotels, and multi-location businesses in Europe and beyond.
Reply to every Google review in 30 seconds. ReputeAI generates professional AI drafts for your Google Business Profile reviews — you approve before they post.
Automatically analyze reviews, generate responses, and improve your business reputation with AI-powered tools you control. "The service was outstanding and the pizza was the best I've had in NYC!" Hi John! Thank you so much for the 5-star review. We're thrilled you enjoyed our NYC-style pizza. Hope to see you again soon! Managing reviews shouldn't consume your entire day. Here's what business owners struggle with daily. Reviews scattered across multiple locations make it impossible to track and respond efficiently. Difficulty maintaining consistent brand tone across different team members and locations. Risk of missing negative feedback that could damage your reputation if left unaddressed.…from repute-app.com
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Life & fun · 11d ago · louisabraham.github.io
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.
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