Le

LeagueSmart v2

Hacker News

LeagueSmart v2

2650 days ago I submitted the first version of LeagueSmart[1] to HN for people to checkout and here is the latest[2]. This version was a full rewrite, done up with Go, App Engine and just a touch of javascript. App development with Go and App Engine was enjoyable, except for the fact that we are stuck on v1.6, and if anyone has any questions or comments let me know. https://app.leaguesmart.com BTW: If anyone here does manage any rec leagues, or know someone who does, you can use `HN-0517` for a 50% discount. 1. https://news.ycombinator.com/item?id=1089002 2. https://app.leaguesmart.com

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% 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
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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