FiveML LTD

FiveML LTD

TrustMRR

FiveML LTD provides LVI, a LinkedIn automation platform that helps businesses generate leads by automating profile visits, connection requests, and personalized follow-ups. Customers are typically cha

FiveML LTD provides LVI, a LinkedIn automation platform that helps businesses generate leads by automating profile visits, connection requests, and personalized follow-ups. Customers are typically charged upfront during checkout or after upgrading from a 15-day free trial.

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Actual performance

18customers
$4,782MRR/mo
Made the leaderboard

Traction signals

Domain Rating19
MRR growth 30d+9.4%

Launch Intel predictions

Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
42%42% 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
22%22% predicted probability of success on Hacker News, 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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