Building Hand History Database Software
Heya - I'm looking to build database software for easily querying spots, both common and rare.
For example: "find me OOP donks in 4b pots on dry boards", and you will get the matching range. As well as your regular database exploration tooling.
Interested in helping you find these spots in your dataset, and generally looking to help people fulfill any interesting spots they'd like investigated.
2 Replies
Esta idea parece muy útil, especialmente para quienes desean estudiar más allá de las estadísticas superficiales. Poder consultar situaciones muy específicas es donde se produce el verdadero aprendizaje. Cosas como los donks OOP en botes de 4-bet son difíciles de aislar con las herramientas actuales. Plantearlo como "encuéntrame este punto" en lugar de buscar entre filtros es inteligente. Reduce la fricción e invita rabbitroadcasino.es a la curiosidad. Si puede manejar tanto patrones comunes como casos extremos inusuales, es una gran ventaja. Muchos jugadores saben lo que quieren estudiar, pero no cómo extraerlo. Esto podría cubrir esa necesidad.
Love the direction. The main thing is making the definitions explicit so results feel trustworthy: people mean different things by “donk” and “dry board, ” and 4-bet pots get messy with cold 4-bets and odd preflop trees. If you pre-tag each hand with a small set of derived features (pot type, positions, effective stack/SPR, initiative by street, board texture), your queries will be fast, and the UX will feel magical. I’d also be careful with the word “range” unless you’re actually estimating it; returning matching hands, frequencies, common sizings, and outcomes is already super valuable. If you share a couple more example queries you want to support, I’m happy to sanity-check the definitions and suggest the minimal set of tags to compute so it all stays simple.
