Fibr
Product HuntPersonalize 1000s of landing pages in under 30 mins
Turn every URL into a self-optimizing agent that learns & adapts in real time to craft personalized revenue-driving experiences.
Share cardActual performance
763upvotes
160comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →Product HuntOn track for Day 1 leaderboard · Strong signals: agent · Missing: mac, agents, macos84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Strong signals: real time · Missing: web3, just like, small businesses61%61% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, created, podcasting53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, just released, open source49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: reviews, intuitive, videos19%19% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: 000 · Missing: api, profitable, 1m9%9% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Correct prediction on native model
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Personalized landing pages for every prospect
Indie Hackers1$600/mocommitment-full-time