Multiplayer game to help non-native English speakers improve vocabulary

Hacker News

Hi HN, My friend and I just launched a vocabulary quiz game. It's a two Player Game where you challenge your opponent with a word and answer their challenge question. Whoever gets the highest score in a round of 5, wins. Currently, words are from Barron's 333 most essential GRE wordlist to help students preparing for the standardized test. You can check out the game at: [Play Store] https://play.google.com/store/apps/details?id=com.buildmyvoc... or [Hybrid web app in Ionic - Please allow some time to load] https://buildmyvocab.in/wordsgame We would love to hear feedback from you guys.

Visit product View on Hacker NewsJul 16, 2017

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

73%73% 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.

TrustMRRLess likely to generate early MRR · Strong signals: apps, google · 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

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

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

35%35% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, apps · Missing: mac, agents, macos

18%18% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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