LeadCognition's AI agent builds your ICP, maps it to the repositories that matter, and monitors them live — so you see who's already evaluating your category. GitHub de-anonymization then turns those GitHub handles into LinkedIn + email outreach, routed into the workflow your team uses to book meetings.
They star repos, open issues, fork SDKs, compare tools, and test infrastructure quietly. LeadCognition turns those public technical signals into named people, accounts, and timing.
Paste your site, let Discover find your product, competitor, and ecosystem repos, then activate the plan-sized set that should produce the first useful leads.
LeadCognition backfills the active repos, turns recent GitHub activity into companies and people, and keeps the rest of the discovered market ready for upgrade.
Reveal contact paths when the signal is strong, then use the lead context and playbook surfaces to turn activity into outreach.
Map your category, monitor GitHub activity, resolve developers and accounts, prioritize signal heat, and generate outreach context that starts from what the buyer actually did.
Discover reads your product, finds the relevant GitHub footprint, and proposes the repos most likely to contain buyers.
Free activates and backfills your top 2 repos. Starter activates 5. Additional discovered sources stay saved as upgrade value.
Your first batch comes from those active repos, with ranked people, companies, repo context, and signal strength.
Spend credits only on qualified leads, then use contact paths, notes, notifications, and AI playbooks to start the right conversation.
Browse leads, companies, signal history, and public profile context for free. Spend credits only when a lead is worth revealing.
Browse every lead's GitHub activity and signal score for free. Spend 1 credit to unlock their LinkedIn and company. If their identity isn't public, our de-anonymization finds it for 2 credits.
Try it out, no card needed
50 one-time trial credits
For solo founders and SDRs
500 credits/month
For SDR teams and recruiters
2,000 credits/month
For high-volume teams
8,000 credits/month
How LeadCognition turns public GitHub activity into booked meetings.
LeadCognition monitors GitHub events (stars, forks, commits, pull requests, issues, and code reviews) on repositories you choose, polled every 15 minutes. Each event is tied to a GitHub user profile. The platform then automatically enriches each user with their LinkedIn profile URL, verified work email, company name, and job title.
You can browse all discovered leads, view their Signal Strength Score, GitHub activity timeline, and public profile data without spending any credits. When you decide to contact a lead, spend 1 credit to unlock their identity (LinkedIn URL, name, title, company). Then unlock contact info separately: work email (1 credit, triple-verified via waterfall enrichment), personal email (3 credits), or mobile phone (10 credits). Credits reset monthly. The Free plan includes 50 free trial credits with no credit card required.
LeadCognition's Signal Strength Score weighs four factors: volume (30%), recency (30%), quality (25% — pull requests and commits count more than stars), and diversity (15% — activity across multiple related repos). A developer who opened a pull request, filed an issue, and committed code to three repos in your technology category in the past two weeks rates as a Strong signal.
Yes. LeadCognition can monitor any public GitHub repository — your own, competitors', or any open-source project in your technology category. Developers who actively contribute to a competing solution are evaluating your category and are often ideal outreach targets.
Yes. Technical recruiting is one of LeadCognition's three core use cases. You can filter leads by programming language, location, and GitHub hireable status. Tracking repositories in your target tech stack surfaces active contributors whose GitHub history proves real-world skills.
LinkedIn URLs sourced directly from a developer's own GitHub social profile links are verified with near-100% accuracy. For developers without social links, our reverse email lookup discovers LinkedIn from Git commit emails. Work emails are triple-verified through waterfall enrichment across 20+ data sources, including catch-all detection (80% coverage). An AI validation layer cross-checks profile matches before surfacing leads.
Developer signal intelligence is the practice of monitoring public GitHub activity — stars, forks, pull requests, commits, and issues — to identify developers who are actively evaluating technology in a specific category. These behavioral signals indicate purchase intent far earlier than a website visit or form fill.
LeadCognition monitors 10+ GitHub event types including: repository stars, forks, pull request creation and review, commit pushes, issue creation and comments, release downloads, and repository watches. Events are polled every 15 minutes for near real-time signal detection.
Create a free workspace, browse public signal, and unlock contacts only when the account is worth pursuing.