Trustdog
Collect, manage and share testimonials from your customers
What it does
Collect, manage and share text and video testimonials about your product or service. One-click import, Trustdog then gives you the tools to create stunning marketing out of them such as walls, widgets and embeds. Offering unlimited video, agency white-label, one-click migration at launch.
Collect text and video testimonials at one flat lifetime price. Unlimited video, agency white-label, one-click migration at launch. Founding preorder, fully refundable.
TrustDog collects text and video testimonials from your customers and turns them into a wall of love you can embed anywhere. TrustDog is pre‑launch. The collection form below is real and working today; the full product ships after the founding window. Every preorder is refundable. No per-video meters, no seat math, no surprise tier bumps when testimonial #26 arrives. One price, every video. At launch: import the testimonials you already collected in your current tool with one click. Leaving shouldn't cost you your history. Your brand on collection pages and walls — not ours. Client-ready collection links from day one. Fourteen widgets at launch — all included in the flat price.…from trustdog.io
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 · 17d ago · simedw.com