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Ymappr – a todo app using mapped lists instead of regular lists

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Ymappr – a todo app using mapped lists instead of regular lists

Hello hackers, I just launched a new MVP It's a todo app using mapped todo lists instead of regular lists ! https://ymappr.com It's bugged and very beta, but I released this complex MVP in only two weeks ! (+ made while relocating from Thaïland to Vietnam, and even while being sick). Needless to say, despite the raw interface, a lot of efforts was put into this. Hope I can give you a feel of what the final product will look like, and I would appreciate some feedback In the meantime, take care! baz

Visit productView on Hacker NewsOct 7, 2018
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TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
55%55% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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