Recit
An Invoice and Payment System for businesses in Africa
I started working on this project based on personal experience as a freelancer. I had always struggled with accepting payments from my foreign clients who were not paying in my local currency.
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Made the 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.
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
35%35% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
16%16% 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.
Incorrect prediction on native model
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Tertiary institutions in one app,networking across Africa.