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Free NBA API

Hacker News

Free NBA API

A few months ago I wanted to create a website that displayed metrics about NBA players that I care about. I was surprised and frustrated by the lack of free API services, so I ditched my original idea and decided to create a free API. Hopefully this will encourage people to build some interesting websites! It's completely free, and it doesn't require an email address. There are a few gotchas spelled out on the API docs, but all in all it's a serviceable first pass. I'm happy to spend some time iterating and making improvements if people find value in this. Feel free to PM me with any suggestions, comments, and hate mail. Check it out here: www.balldontlie.io Here's an example of something you can build with the API: https://ball-dont-lie.herokuapp.com/

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: email · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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