Life & fun · alternatives · 2026
24 alternatives to NBA LOW SHOT
Pretend to own the worst moments from the NBA (NFT parody)
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. NBA LOW SHOT launched in 2021; newer entries below may have overtaken it.
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Authenticated NFT video prints for NBA top shot collectors
2021 · its alternatives →
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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…
2020 · youtube.com · its alternatives →
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CashOut▲73Block sports betting apps, track how much you saved
Jun 2026 · apps.apple.com · its alternatives →
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A Free Virtual Basketball Camp with Klay
2015 · its alternatives →
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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 · its alternatives →
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GOAT Lab▲3Can you build the Greatest NBA Player of All Time?
Jun 2026 · playgoatlab.com · its alternatives →
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Bet points on NBA games — compete, don’t gamble
Oct 2025 · bouncebet.fr · its alternatives →
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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 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →