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Map for Game of Thrones

Hacker News

Map for Game of Thrones

We’ve updated Map for Game of Thrones with a lot of features since its launch, 2 years ago. In addition to the app’s staple feature, TV show recap, the user can now also review all 5 books in a similar, interactive manner. You can now step through all the scenes/chapters of any TV episode or book and enjoy: - a short summary of the scene/chapter - full description or synopsis - list of characters in the respective scene/chapter - the location on the interactive map - the full transcript (for episodes) The app is also a handy Game of Thrones lore companion. You can search and browse through detailed information of 600+ locations and 1200+ unique characters. For Season 8, we will be updating the app after each new episode. Any feedback would be appreciated! Links: - Map for Game of Thrones - on the Play Store - https://play.google.com/store/apps/details?id=com.minimapps.... - Map for Game of Thrones FREE - on the Play Store - https://play.google.com/store/apps/details?id=com.minimapps.... - GoT Map Recap - on the App Store - https://itunes.apple.com/us/app/map-for-game-of-thrones/id11...

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Actual performance

6points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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: apps, google · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, apps · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% 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
33%33% 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 · Strong signals: active · 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
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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