LeadRocks

LeadRocks

AppSumo

LeadRocks has been receiving positive feedback from customers, who appreciate its extensive database, accurate data, and efficient lead discovery. The platform boasts over 100 million records, including emails, phone numbers, and LinkedIns.

LeadRocks has been receiving positive feedback from customers, who appreciate its extensive database, accurate data, and efficient lead discovery. The platform boasts over 100 million records, including emails, phone numbers, and LinkedIns. While some users have noted limited search filters and occasional inaccuracies in the data, these issues are minor in the grand scheme of things. Overall, LeadRocks is a solid choice for those seeking a reliable B2B contact database, especially considering the 60-day money-back guarantee.

Share card

Actual performance

371reviews
Made the leaderboard

Traction signals

Rating4.5 / 5
Purchases15,196

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
91%91% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoStrong fit for a featured deal · Strong signals: platform, occasional, efficient · Missing: plus, intuitive, reviews
71%71% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, email · Missing: mac, agents, macos
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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
19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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