devSwag
๐ swag opportunities for developers
As a developer, nothing piques my interest more than developer swag! I made devSwag to scratch my own itch by starting a simple list on a GitHub repository (swag-for-dev).
Share cardActual performance
3followers
$1MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch โ68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
19%19% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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