VidThanks
Video testimonials that actually drive sales
What it does
Turn Google reviews into video testimonials that sell
VidThanks helps businesses send personal video messages: thank customers, collect video replies and testimonials, and turn happy customers into Google reviews. Free video review tool included.
The complete video management platform for Google Reviews, Team Training, and VIP Engagement — all with your own branding. Simple enough for any business owner. Powerful enough to transform your online reputation. Film yourself with your phone. Tell your customers you appreciate them — and invite them to share their experience on video. Use our built-in teleprompter so it's effortless. Print the QR code on your receipt, table tent, packaging, or display it on a screen. Customer scans it at the table — no app needed. They watch your video right on their phone. Customer taps Record, films their food or experience, and hits send. We instantly upload their video so they can share it on…from vidthanks.com
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Collect,Showcase& Grow with TestimonialsSep 2025 · ▲55Collect, manage & showcase reviews that drive conversions.





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 · 17d ago · simedw.com