OpInionKings
Predict real-world events with creators you actually follow
What it does
Opinion Kings is a social prediction market where you forecast outcomes in politics sports finance and culture using play money alongside creators you follow. It's not just about being right it's about building your reputation as someone who actually sees things coming. Follow the smartest predictors discover markets that matter to you and put your opinion on the line.
Download OpinionKings: Social & Trade by Opinion Kings on the App Store. See screenshots, ratings and reviews, user tips, and more apps like OpinionKings:…
Social Networking Developer Opinion Kings Language EN English Size 26.1 MB iPhone Turn headlines into predictions. Start with $10,000 in play money, forecast real-world events, follow the crowd and climb the OpinionKings leaderboard. OpinionKings is a social prediction market where you forecast real-world events, test your opinions, and compete against the crowd using play money. New markets drop regularly across sports, politics, finance, business, technology and culture. Start with $10,000 in play money, make your predictions and see how your record stacks up against the community. No deposits. No withdrawals. No real-money trading. PREDICT WHAT HAPPENS NEXT -Every headline can become a…from apps.apple.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