GitHub

We analyze GitHub activity at scale

Identify new founders building in stealth on GitHub - the moment they appear.

Trusted by 70+ top VCs firms across the world
Technical signal

Here’s what our GitHub signals reveal

We go deeper than code commits. We identify founder behavior, stealth patterns, and high-signal activity across technical communities.

Contextual signal

Uncover low-visibility technical founders

We surface engineers with advanced repositories and minimal social footprint - often building quietly ahead of formal incorporation.

Hidden repos
Advanced code
Low social reach
Stealth profile
Behavioral patterns
Spot the shift from tinkering to building

We monitor profile bios, repo spikes, structured commit behavior, and branching patterns that signal intent to launch - not just experiment.

Repo spikes
Commit cadence
Branch activity
Release tags
Network intelligence
Map collaboration  and co-founder DNA

Our system links GitHub accounts to identify collaboration across prior ventures and repos revealing old teams forming new companies.

Shared repos
Commit overlap
Co-author links
Team lineage
Customer testimonial
Evertrace has further streamlined our sourcing processes and made our setup even more scalable. It has helped us reduce the manual workload and improve our ability to identify new founders, particularly in countries outside our core markets. It has been a valuable enhancement for us.”
Christian Dalsgaard

Any questions?

Find answers below

Do you monitor both public and private repos?

We only monitor publicly available repos, and publicly available profiles.

How do you link GitHub accounts across co-founders?

We look at what they have done in the past and how that matches with their GitHub profile to identify the most likely and optimal match.

Can you distinguish between hobby projects and real builds?

Reducing the number of false positives is always tricky, but we evaluate the full GitHub profile along with any other possible digital footprints to maximize probability that the profiles we surface are indeed building something new.

How often is GitHub data updated in your platform?

We update and push newly identified founders from GitHub on a daily basis.

What geographies do you cover?

We track GitHub profiles globally with no limitation on geography.

What programming languages and verticals do you track

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Additional data sources

We combine multiple sources to complete the picture

Each data source reveals something different. Together, they create conviction.

Social Media

Track founder job exits, stealth edits, and early intent across professional social platforms — before anything’s publicly announced.

Trade Registries

Monitor real-time incorporations across Europe and link them to real founders — not just shell companies or holding structures.

GitHub

Detect when engineers transition from tinkering to building. Monitor private repo spikes, team activity, and early collaboration patterns.

Research Papers

Spot academic work with commercial potential. Track authors exiting academia and moving into venture creation.

Product Hunt

Identify stealth product launches and anonymous teams. Analyze comment threads and behavior that suggest long-term ambition.

Domain Registrations

Catch digital real estate being claimed. Connect new domains to individuals, past ventures, and technical behavior across platforms.

App Store

Track stealth mobile apps, unlisted publishers, and early signals of mobile-first ventures — even before company formation.

Patents

Surface new IP from individual inventors and micro-teams. Detect deep tech spinouts before they become visible to the market.

X (formerly Twitter)

Monitor forums, platforms, and communities where founders look for co-founders. Identify team formation at its earliest stage.

Co-founder Searches

Track early-stage founder behavior through subtle tweet patterns, network shifts, and social intent — before a product or company exists.

Demo call

See how Evertrace uncovers stealth builders

Let us show you what early-stage technical signals actually look like.

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