Ominvo
Review management built for single-location owners
What it does
Stay on top of your online reputation without the busywork. Ominvo alerts you when new reviews land, then drafts a reply matched to what the customer actually said — in your tone, in one click. Connects to your Google Business Profile, built for single-location owners: salons, restaurants, gyms, dentists.
Aggregate Google reviews, get instant alerts, and reply with AI-drafted responses in one click. Built for salons, restaurants, gyms, and dentists.
Ominvo watches your Google reviews around the clock, drafts AI replies in your voice, and posts them in one click. Built for salons, restaurants, gyms, and dentists. Meta, Trustpilot, and Yelp are coming soon. 97% of customers read reviews before visiting a local business. Most reviews go unanswered for days. Responding to a negative review publicly turns a dissatisfied customer into a brand advocate 45% of the time — if the response arrives within 24 hours. When a business owner doesn't reply, customers don't just forget about it. Same business. Same customers. Completely different outcome. “Hi Mike, we sincerely apologise for the wait — this isn't the experience we want for you...” vs.…from ominvo.com
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