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Products that do what A basketball hoop to maximize shots that go in [video] does
https://github.com/OlexG/finclaw ^ repo if anyone wants to contribute. I realized that sometimes I'm pretty good at making random guesses about the future. (I.E, I think OpenAI will beat Anthropic in the short term, etc...) However, I'm bad at converting these guesses into actual market plays I can profit from. As such, I wanted to make a tool that connects to the right APIs and launches a swarm of agent experts to generate related plays based on your prediction. The very first super shitty V0 MPV just has Polymarket/Kalshi bets, but I will be adding a more complex…
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Hey everyone, OP here. Wanted to share a bit more about Hooper — I started building it with a good friend of mine six months ago. We play a lot of pickup together and were arguing about who has a better jump shot and ended up hacking together an app to settle it The way Hooper works is you can record yourself using the app and ideally a tripod (optional). The app will track everyone, whether its a solo practice, a 3v3, or a 5v5. We think there’s a lot of stuff out there for basketball drills but what we really wanted Hooper to be for is actual game play. That means, it can do things like…
2024 · hooper.gg
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Introducing DeepShot: An NBA Game Prediction Model Hey devs, sports fans, and data nerds! After weeks of work, I'm excited to share DeepShot – an advanced NBA game predictor powered by historical data from Basketball Reference, machine learning, and a clean NiceGUI-powered web interface. What it does: DeepShot uses team-level rolling averages (including Exponentially Weighted Moving Averages) and an Elo rating system to accurately predict NBA game outcomes. All predictions are visualized in real time through a sleek, responsive UI. Key Features: Data-Driven Predictions using past performance…
2025 · github.com
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Authenticated NFT video prints for NBA top shot collectors
2021
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Hey everyone, I’m an NBA fan and Python dev, and I recently built DeepShot — a machine learning model that predicts NBA game outcomes with about 71% accuracy based on historical stats and rolling performance metrics (EWMA). It features: Real NBA data from Basketball Reference Exponentially Weighted Moving Averages to track momentum Interactive NiceGUI interface with team comparison and predictions Full Python stack and open-source (MIT license) Here’s the GitHub repo: https://github.com/saccofrancesco/deepshot And if you like it, here’s my Buy Me a Coffee:…
2025 · github.com
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In a company hackathon this weekend, I thought it would be fun to build a basketball play designer. Essentially, you enter some information about the type of play you want, and it generates a play following these requirements. I was imagining it might be useful for stuff like: 1. Designing personalized plays for first-time coaches: "Give me a play that gets my shooting guard an open three-pointer. My shooting guard shoots the best from the right wing, and my point guard has a weak left hand. My center sets great screens, so have my center set an off-ball screen for my shooting guard." 2.…
2023 · basketballdesigner.com
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2020 · ballparq.games
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