LnkFlow

LnkFlow

TrustMRR

LnkFlow is a click-first link analytics platform for marketers who need to know which channels actually drive customers. Create branded short links, and LnkFlow injects UTMs automatically and tracks e

LnkFlow is a click-first link analytics platform for marketers who need to know which channels actually drive customers. Create branded short links, and LnkFlow injects UTMs automatically and tracks every click server-side at the redirect — so your attribution keeps working even when ad blockers hide the traffic client-side tools miss. Forward clean conversion data to GA4 and Meta CAPI, run clear campaign reports, and finally see what your marketing is really doing.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating9

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
73%73% 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
70%70% 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
42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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