Outlier, a new daily word game

Hacker News

Hello HN, If you love daily word games like the Crossword, Connections, or Wordle, you might enjoy Outlier. The game explores relationships between words-- while RED is of course a color, it is also a baseball player in Cincinnati, a Taylor Swift album, and a River on the Texas border (to name a few). Ex: Super Mail Slender Aqua Sand Boogey Hail Hit Gentle While Gentleman, Superman, and Hitman are all real words/concepts, Hailman is not. HAIL is the Outlier. The Outlier then becomes a member of the set for the following. The next round might then cover Meteoroligical Phenomena, or archaic greetings (Hail Caesar) or words to indicate where someone is from ("she hails from Ohio"). Open to all feedback! Trying to decide if the current time penalty should be increased to encourage more methodical play. I'm also posting daily clues on IG @ outlier.land. Thanks!

Visit product View on Hacker NewsMay 30, 2025

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

63%63% 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.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

40%40% 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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: new, open · Missing: mac, agents, macos

27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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