I

I made a Windows Phone game

Hacker News

I made a Windows Phone game

Use your quick reflexes, amazing tapping skills, and ultimate judgement to survive each of 70+ levels, collecting stars and earning medals while you're at it! +Navigate through all 3 zones with 70+ increasingly challenging levels +Collect up to 3 stars per level to be awarded with coveted medals +Use your skills to avoid 3+ types of obstacles, and conquer tricky level designs +Challenge yourself with Warp Drive mode, moving at 1.5x your normal speed +Master your ship, and become the only captain to survive this insane obstacle course What I really tried to do this time was make a game that was of high enough quality to justify putting a price tag on it. The game is $1.29, but there's a free trial to play the first 10 levels.

Visit product View on Hacker NewsNov 12, 2012

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

75%75% 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 · Missing: mac, agents, macos

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

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

44%44% 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

40%40% 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

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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