WordDrop – my first mobile game (Tetris and Scrabble hybrid)

Hacker News

Hi everyone, this is my first game launch! WordDrop is a hybrid between Tetris and Scrabble where letters fall and you build words under time pressure. •Built in Unity (C#), inspired by classic falling-block puzzlers. •Free to play, no ads, jump right into the action. •iOS App Store link: https://apps.apple.com/app/id6747409372 I am a self taught programmer and I’d love feedback on the gameplay, design, or even the technical side. Happy to answer questions about how I built it! I’m also considering using WordDrop as a centerpiece in my portfolio as I work toward a career in game development. If you have thoughts on how it presents as a portfolio piece — or what recruiters/studios might look for — I’d love that feedback too.

Visit product View on Hacker NewsSep 23, 2025

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Launch Intel predictions

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

80%80% 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: apple, apps, using · Missing: mac, agents, macos

68%68% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

48%48% 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

45%45% predicted probability of success on AppSumo, 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

38%38% 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

22%22% 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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