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A Game for Developers. Can you beat it?

Hacker News

A Game for Developers. Can you beat it?

Hello guys, I'm glad to present to you PlayAlgoShip, a web-based game where you solve fun algorithmic puzzles. The rules are simple, you need to find the correct algorithm that makes the ship collect all stars. If you succeed, you will unlock the next level! There are also live statistics like how many players are currently playing on your current level (you are not alone struggling!), the finish rate of the level, and how many players liked/disliked it. It's 100% free, I hope you will enjoy the experience!

Visit product View on Hacker NewsJan 12, 2024

Actual performance

10points

3comments

Made the leaderboard

Launch Intel predictions

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

72%72% 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.

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

49%49% 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 · Missing: mobile apps, ios, personal

40%40% 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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

12%12% 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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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