CommentWinner
Free Instagram Comment Picker And Giveaways Tool
What it does
CommentWinner is a free Instagram comment picker that picks a random, verifiable winner instantly. No login, ideal for giveaways & raffles. Pick verifiable, random winners with CommentWinner, the free Instagram comment picker built for giveaways. Perfect for creators, brands, and marketers running Instagram giveaways, contests, and raffles every single time.
CommentWinner is a free Instagram comment picker that picks a random, verifiable winner instantly. No login, ideal for giveaways & raffles.
Pick verifiable, random winners with CommentWinner, the free Instagram comment picker built for giveaways. Perfect for creators, brands, and marketers running Instagram giveaways, contests, and raffles every single time. At its core, this is a comment picker and giveaway winner picker for one clear purpose: reading through every comment on a public Instagram post or Reel and helping you pick a winner from Instagram comments that your audience can independently trust. There's no counting by hand, no copying entries into a spreadsheet, and no risk of quietly favoring a friend or a follower with a large audience. The link goes in, and a fair result comes out. That difference matters. A random…from commentwinner.com
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 · 16d ago · simedw.com