@GaakiMavin65201 · X

Check out what I just built with Lovable!

@mark_ssesa9683 · X

Check out what I just built with Lovable!

@GeorgeGognadze · X

Hi, I’m building the new chess version where mini games decide the capture @dualchess

u/daard · Reddit

My friends and I argue about score predictions every weekend, so I built a game where we settle it I've carried this idea since 2014. My friends and I have called scores against each other for years, the loser buys the drinks kind of thing, and I always wanted a proper home for it: real scoring depth, real tables, real bragging rights. I priced it up more than once over the years, and hiring a dev team never added up for a side project, however much I believed in it. I work in marketing, not

@Promzybaby17 · X

Check out what I just built with Lovable!

u/Bellaposa · Reddit

I built a browser-based football GM simulator with a real-time 2D match engine. 2 months solo. Here's what I learned. TouchdownGM — touchdowngm.com Solo dev, 2 months, zero funding. The hardest parts: 1. The 2D match engine Simulating play outcomes with physics took 3 rewrites before the "momentum" system clicked. Teams can go on runs, weather changes physics (mud slows speed ratings, snow reduces accuracy). 2. AI press conference Built a decision tree + contextual coaching pers

@olgunozoktas · X

@JoeTheCode · X

@accordingtoca · X

This was inevitable, so I designed a format that would actually work and I vibe coded a simulator to demonstrate it. Check it out:

u/ScarcityUpstairs9658 · Reddit

I built a golf rules app, and most of the work went into making the AI refuse to answer Golf has a 200-page rulebook and nobody on the course has read it. The normal ritual is: someone hits it somewhere strange, four people guess, and you go with whatever gets you to the next tee fastest. So I built PaceClub — describe what happened in plain language, get the ruling with the actual Rule number. The obvious version of this is a chatbot with a golf prompt. That version is worse than useless,

u/sebriz · Reddit

I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market

@kmlyyll · X

now speaks #MCP. Ask any AI agent about World Cup 2026 fixtures, team stats, or match predictions: Live data, not scraped guesses. Also shipped: Link headers, an #API catalog, #WebMCP, and a #Claude Code plugin. Made in Cambridge with a lot of love and passion.😍