Undbid

Undbid

TrustMRR

Undbid is a novelty entertainment website. Visitors can list a product for free, and anyone can pay a small fixed fee to move a listing one position down a public ranking. The fee buys only that cosme

Undbid is a novelty entertainment website. Visitors can list a product for free, and anyone can pay a small fixed fee to move a listing one position down a public ranking. The fee buys only that cosmetic position change on our own site. There is no prize, no payout, no element of chance, and no transfer of funds to any user. Purchases are one-off, non-refundable and grant no ongoing service.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating3
MRR growth 30d+450.5%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, created, podcasting
60%60% 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 NewsStrong engagement from HN community · Missing: https docs, just released, open source
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos
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: user · Missing: mac, agents, macos
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: ai · Missing: api, 000, profitable
22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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