ResistorGo
A straightforward electronic resistor identification tool
I wanted a very straightforward tool when working with electronic components, so I decided to make it by myself.
Share cardActual performance
1followers
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
39%39% predicted probability of success on Hacker News, 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.
32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
29%29% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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