UpLinked B.V.

TrustMRR

UpLinked is an AI web app for B2B coaches, consultants and agencies, with a live iOS app and Android in review. It analyses your LinkedIn profile, business, offer and goals, turns that into a 12-week

UpLinked is an AI web app for B2B coaches, consultants and agencies, with a live iOS app and Android in review. It analyses your LinkedIn profile, business, offer and goals, turns that into a 12-week content strategy, then writes posts in your own tone of voice, generates carousels and visuals, plans them and publishes straight to LinkedIn. It learns from your analytics with every post. The goal is not likes, but leads and clients.

Visit product View on TrustMRRJul 9, 2024Marketing Software stripe

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Actual performance

61customers

$3,973MRR/mo

Made the leaderboard

Traction signals

Domain Rating3

MRR growth 30d-44.9%

Launch Intel predictions

Analyze your own launch →

TrustMRRFits verified-revenue profile · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs

72%72% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

49%49% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

14%14% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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