Launch Intel
outbidchess

outbidchess

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OutbidChess is a website that sells digital sponsorship and advertising placements. Customers pay a one-time fee to show their logo, name and link on one of 32 chess pieces on our interactive web ches

OutbidChess is a website that sells digital sponsorship and advertising placements. Customers pay a one-time fee to show their logo, name and link on one of 32 chess pieces on our interactive web chess board.

Visit productView on TrustMRRSep 14, 2026MarketingServicesstripe
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Actual performance

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Missing: https docs, just released, open source
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Missing: supports, created, podcasting
54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses
25%25% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: customers · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable
9%9% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.

Correct prediction on native model

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