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12thman
Your analyst for fantasy sports & sports prediction markets
Most sports analytics tools do one thing: just odds, just stats, or a generic chatbot with no real data. 12thman combines an analyst-grade data engine with conversational AI. Ratings reflect current form from 40K+ appearances, not reputation. Statistical models predict match and full-tournament results and flag mispriced prediction markets. "Ask 12thman" answers any question like an analyst, grounded in that engine. A bracket simulator lets you run and share your own tournaments as cards.
Sports is something the whole world tunes into, but the tools around it are surprisingly shallow. As a fan who also bets and plays fantasy, I was tired of bouncing between a stats site, an odds aggregator, a fantasy ranker, and Google. None of which actually talked to each other or to me. Reputation-based ratings told me who used to be good; nothing told me who was in form right now purely based on data.
So I set out to solve three problems: ratings that reflect current form instead of name recognition, predictions and mispriced markets grounded in real models instead of vibes, and insight that's conversational, something you can just ask, rather than dig through tables for.
The approach evolved a lot, and it was entirely feedback-driven. I launched step by step in public on X and let the responses dictate what came next. It started as a pure ratings-and-prediction site: rate every player from real match data, then run statisical models (Dixon-Coles, Monte Carlo simulations) for match and tournament odds. But the replies kept reshaping it. People wanted to ask questions, not read charts. So I built "Ask 12thman," an AI analyst grounded in the live database. They wanted to act on the data, so I pulled in Kalshi prediction-market prices to flag where the market disagrees with the model. And they wanted to share, so I built a bracket simulator that lets anyone run their own tournament and download a card to post. That became the engine behind the launch, and almost every major feature traces back to a reply or comment on X.
About 12thman on Product Hunt
“Your analyst for fantasy sports & sports prediction markets”
12thman was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #159 on the daily leaderboard. Most sports analytics tools do one thing: just odds, just stats, or a generic chatbot with no real data. 12thman combines an analyst-grade data engine with conversational AI. Ratings reflect current form from 40K+ appearances, not reputation. Statistical models predict match and full-tournament results and flag mispriced prediction markets. "Ask 12thman" answers any question like an analyst, grounded in that engine. A bracket simulator lets you run and share your own tournaments as cards.
On the analytics side, 12thman competes within Sports, Football, Data & Analytics and Vercel Day — topics that collectively have 20.5k followers on Product Hunt. The dashboard above tracks how 12thman performed against the three products that launched closest to it on the same day.
Who hunted 12thman?
12thman was hunted by Shubham Jain. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of 12thman including community comment highlights and product details, visit the product overview.
Shubham Jain