Leadbomb

Leadbomb

TrustMRR

Leadbomb.io is a lead generation platform that pulls business and audience data from across the web such as Google Maps, LinkedIn, Instagram, Shopify, and Yelp into one place, so you can build targete

Leadbomb.io is a lead generation platform that pulls business and audience data from across the web such as Google Maps, LinkedIn, Instagram, Shopify, and Yelp into one place, so you can build targeted prospect lists without juggling multiple tools or manual research.

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Actual performance

123customers
$3,486MRR/mo
Made the leaderboard

Traction signals

Domain Rating5
MRR growth 30d-13.5%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
73%73% 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: google · Missing: mac, agents, macos
67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue
29%29% predicted probability of success on Acquire.com, 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
28%28% 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
17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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