Say hello to Instatus, my first app

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Hello, here's my first app on the App Store, a week end project I've made with a friend. I had the idea - questionable - and did the UI. https://itunes.apple.com/us/app/instatus/id622077531?mt=8&ign-mpt=uo%3D2 (there's also the free version) The concept it's pretty simple, share your thoughts on Instagram, only words on white background so it will seems that your words will float into your friends feed - I suggest to not use any filter! - got already some ideas for future upgrades. I'm giving away 3 code to get the full version, if you want one, just ask! Best, Filippo p.s. This message wasn't intended to be a "spam" for my app. I'm just happy that my first app is online! Hope you'll understand and apologize if I'm wrong.

Visit product View on Hacker NewsApr 16, 2013

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73%73% 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 HuntUnlikely to reach the leaderboard · Strong signals: apple, code · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% 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

14%14% 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.

Incorrect prediction on native model

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