ColorPair – A free color-matching puzzle game for iOS
Yet another match-color puzzle in a sea of identical App Store clones.

Schelling point daily game with converge and diverge questions scored against prior answers.
Casual gamers interested in social coordination puzzles
The New York Times Games · Jigsaw · Glitché
I love Schelling point questions, where you have to guess what other people will answer, with them trying to do the same. So I built a little daily game with them, but also the opposite: try to avoid what everyone else picks (while they're avoiding too).
There are four scored questions each day, generally two converge questions (match the crowd, classic Schelling point questions), and two diverge (avoid the crowd). There's also one "seed" question for a future day mixed in.
You get scored against everyone who answered before you, so your score doesn't change if loads of people change the distributions after you.
Initial distributions might be a bit thin today, but hopefully it's still fun.
Cheers! And let me know if you have any fun suggestions for future questions.
Colman
Yet another match-color puzzle in a sea of identical App Store clones.
Novel matchmaking mechanic (community as algorithm) undermined by geo-lock and unproven demand.
First published video game built with vanilla HTML, CSS, and JavaScript for vocabulary practice.
Schelling matching for AI agents, but needs real use case evidence.
Instead of swiping, you drop a point on an X/Y pad where X=certainty and Y=resonance; matching the crowd updates a persistent 'intuition' score — neat reframing of social capital as prediction skill. The interface is intentionally minimal and playful, but the real test is adoption: cold-start, bot manipulation and moderation could make or break the mechanic.
The product leans on a readable, rule-based methodology you can actually audit — think 5-position/8-point table gaps, last-5-form checks, and a <=1.5 goals conceded filter — and wraps that logic in a simple daily picks feed plus a free prediction game and leaderboard. It’s honest about not being a betting platform and trades ML mystique for explainability, which will appeal to fans who want something they can understand; serious bettors will miss odds integration or deeper metrics like xG and probabilistic modelling.