Provoon
Collect, manage, and showcase testimonials - powered by AI
What it does
Unlike other testimonial tools that just collect and display, Provoon uses AI to auto-tag sentiment and surface your strongest testimonials automatically. Auto-send invites via your own email, custom domain support, and one-click social media export turn testimonials into ready-to-post content - not just a wall. Collect text, video, and audio via one link, embed anywhere. Built solo, launched today.
Collect video, text & audio reviews-or import from a pasted Google/G2 link (28+ sources). Approve, then embed Walls of Love & nudges. Start free.
Send a link-customers leave video, text, or audio without an account. Or paste a review URL to import from Google, G2, and 28+ sources. You approve what publishes, embed a Wall of Love on any page, and AI ranks which testimonial belongs where. “ honestly thought this would eat my afternoon. sent one link after a client call and had three testimonials back by dinner. embarrassingly easy. ” “ finally looks like my studio and not a generic widget. clients actually want to leave a review when the page matches the brand. ” “ stopped guessing which quote belongs on pricing. AI surfaced the ones mentioning ROI first - i still approve everything, just faster. ” “ donors trust other donors more than…from provoon.com
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Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d 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