New Android game “evolving Objects” waiting for installs

Hacker News

A few weeks ago I published the Android game "evolving Objects - Coins and Diamonds" on the German Google Play Store. I have not published it in other countries yet, because it offers In-App-purchases, and German tax laws are complicated enough to start with. Over the last few weeks I have read a lot about marketing and ASO, and I think that by now I have found good keywords in my title and the app descriptions. I also believe that my app symbol and the screenshots are good. A few days ago I published two in-game-videos on YouTube. Despite all of this, according to the Google Developer Console, nobody has seen the store listing so far. Before I invest any "real money" in burst campaigns or similar activities, I would like you to test and review the game.

Visit product View on Hacker NewsApr 11, 2018

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

69%69% 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, new · Missing: mac, agents, macos

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

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

49%49% 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, io · Missing: https docs, excited, just released

33%33% 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

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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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