X (formerly Twitter)

We monitor X to detect early builder behavior

Track subtle signals, social patterns, and real-time intent - before the pitch decks and funding rounds appear.

Trusted by 70+ top VCs firms across the world
Real-time intent

Here’s what our X signals reveal

We go beyond viral. Our system filters noise and picks up founder intent buried in everyday tweets and bios.

Cross-platform correlation

Connect X posts to off-platform actions

We link X activity to domain registrations, Product Hunt posts, and GitHub spikes - surfacing founders in motion.

Cross-platform match
Domain signal
Repo spike
Product launch
Behavioral signals
Decode X posts that suggest building

We analyze patterns like “building...” or “looking for a co-founder” - correlating them with network, history, and social activity to flag credible intent.

Tweet content
Intent phrases
Timeline
GitHub match
Network shifts
Detect X bios changes that indicate founder intent

Spot profile updates that reveal when founders are preparing to launch a new venture.

Follow graph
Mentions
Engagement shifts
Network overlap
Customer testimonial
"Evertrace changed the game. It is the best signaling tool out there. and sadly for us, everybody starts to realize it.”
Jerrit Jungmann

Any questions?

Find answers below

How do you determine which tweets/posts indicate intent?

We evaluate each user in its own context using AI, including any external links such as websites, other social media profiles etc., to ensure we only capture new founders and minimize noise.

Do you track profiles over time?

We continuously monitor profiles to identify when they start building things that are potentially relevant to you as an investor

Can I filter by geography, inudstry, etc?

You can filter by the same metrics as for profiles derived from all other sources, including pushing to your internal tools, API usage, etc.

Is X/Twitter data used in isolation or cross-referenced?

We always cross reference the data to ensure that we do not feature profiles identified through other means to reduce double counting and noise.

How do you handle bots and low-signal accounts?

Each profile is evaluated in terms of bio, name, number of followers etc., and then cross referenced to other sources to ensure that we only feature real people on our platform.

How often is X/Twitter data refreshed?

We refresh X/twitter data on a daily basis.

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 X signals reveal founder intent

Let us show you how we detect real-time movement at pre-company stage.

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