MyGigsters
Toolkit for rideshare and delivery gig workers
To help rideshare and delivery gig workers (drivers) in Australia to maximise their earning potential, save money, make them safe and connect with other drivers aka gigsters in the community
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Launch Intel predictions
Analyze your own launch →48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
20%20% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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