Lead Scorer

TrustMRR

Lead Scorer is an AI SDR for solo founders and small B2B teams. Brief it once: its agents find real companies, identify decision-makers, enrich and score each lead, then draft personalized LinkedIn and email sequences for your approval. A free CRM, unified inbox and content/signals engine keep the whole pipeline in one place. MCP-native, so Claude, ChatGPT, Cursor or your own agent can run it.

Visit product View on TrustMRRJul 1, 2026Artificial Intelligence IT Services B2B

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Actual performance

6customers

$597MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating3

Launch Intel predictions

Analyze your own launch →

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

96%96% 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.

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

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

35%35% 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

31%31% 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: ide, pipe, io · Missing: https docs, excited, just released

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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