Blop – Game I’ve made while I was learning Swift (iteration #2)

Hacker News

In previous series: https://medium.com/@ivanpashenko/how-one-designer-was-learning-swift-cc2d99658895 https://news.ycombinator.com/item?id=8556056 I've got very useful feedback from HN community previous time. Thanks a lot guys! What was done: - Changed the name (now it is searchable in the App Store by the name) - Slowmo action to slow the game down for 15 sec - In app purchase (slowmos) - Pause button works now as it suppose to work - Location achievements (Don't forget to allow location service) - Bugfixes

Visit product View on Hacker NewsJan 29, 2015

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

30%30% 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

16%16% 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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