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I learned Android development during quarantine

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I learned Android development during quarantine

I started learning Android development just so I don't go crazy, and honestly this app became my baby and has single handedly help me get through a tough time! divvie is an app that helps you split dinner bill with a group of friends at a restaurant. It's really beginner level but these are some features that I'm really proud of: - it splits tax and tip based on how much each person ordered - you can split each food item between multiple people - if a dollar amount doesn't get divided evenly, it assigns the extra cent between all people really fairly! I also learned a lot about graphic design using Adobe Illustrator and learned to make promo pics and icons. Feel free to check it out and let me know what I can work on to get better! https://play.google.com/store/apps/details?id=com.felili.divvie

Visit productView on Hacker NewsJul 10, 2020
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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, single · Missing: mac, agents, macos
56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: apps, google · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
27%27% 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
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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