Linbox

Linbox

TrustMRR

Linbox turns your LinkedIn inbox into an email-like experience, with AI spam detection at its core: cold pitches and sales spam are caught and quarantined automatically, so your inbox stays clean and

Linbox turns your LinkedIn inbox into an email-like experience, with AI spam detection at its core: cold pitches and sales spam are caught and quarantined automatically, so your inbox stays clean and only real conversations reach you. Plus labels, notes, reminders, snippets, and bulk archive. All while respecting LinkedIn's terms, your own session, no scraping, no automation. Your network, finally under control.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating8

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: inbox, email, notes · Missing: mac, agents, macos
83%83% predicted probability of success on Product Hunt, 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, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
24%24% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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