10letters – A Free Daily Word Puzzle Game with a Twist of Hangman

Hacker News

Hey HN! We are first-time indie game developers and we just launched a Free Daily Word Puzzle Game called 10letters with a unique twist of hangman. Play the game here: https://10letters.app (Web-based, Available on all platforms, no sign-ups) - The game is free and does not require any sign-ups. - The objective of the game is to guess a secret 5-letter word from 10 alphabets. You need to guess only 1 secret word to win the game. - Score more points by guessing as many secret words before you run out of lives. Each daily win counts towards your streak. We are excited for you to try our game and we will appreciate any feedback. If you do enjoy the game, please also feel free to share your game stats. Thank you!

Visit product View on Hacker NewsAug 25, 2022

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5points

2comments

Did not reach leaderboard

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

57%57% 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.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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.

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

25%25% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Product Hunt, 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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