World's Biggest Crossword App

Hacker News

Hi, we (two man company) have just release what we think is the world's biggest mobile crossword (single grid of 103x103) for iOS and Android. It plays pretty well all the way down to iPhone 5 (a wee bit small to be honest!). Looking for any feedback especially around any novel (read cheap) ideas on the marketing/promotion front. The retention on the app is awesome once people get started, but as it is a single grid the life time value is pretty limited. I think part of the appeal is the fact you can finish it so it is a mixed pleasing. Cheers, James ps - we are UK based, but we have made quite a lot of effort to avoid / callout where it is a UK term/spelling. https://www.thebigcrossword.com/

Visit product View on Hacker NewsJan 21, 2020

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Indie HackersFits the IH revenue-focused audience · Strong signals: started, ios · 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.

TrustMRRFits verified-revenue profile · Strong signals: ios, way · Missing: mobile apps, personal, entrepreneurs

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: single · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, 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

37%37% 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 · Missing: plus, platform, intuitive

30%30% 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

16%16% 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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