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Off By – a daily game about how wrong we are about the American economy

Hacker News

Off By – a daily game about how wrong we are about the American economy

We form opinions about wages, prices, and housing from vibes, headlines, and anecdotes. The actual numbers are usually somewhere unexpected. Off By is a daily game: five real economic statistics, you guess each one with a slider, then see how far off you were. Everyone plays the same questions on the same day. Average player is off by 25%. I'm usually in that range too. Free, no account needed. Curious whether HN skews more accurate than average, and always looking for statistics that are surprising but airtight. If you know a good one, feel free to drop it in the comments.

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Actual performance

12points
5comments
Made the leaderboard

Launch Intel predictions

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TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
41%41% predicted probability of success on Indie Hackers, 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
41%41% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
23%23% 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
19%19% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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