Evertrace and Specter for early-stage VC sourcing

The sources behind a founder signal tell your team what happened, who is involved and why the opportunity may fit your thesis.

Early-stage sourcing starts with people and the work they are doing. A company registration, a new technical project or a research grant can give your team a reason to investigate a founder, even when there is little company information to work with.

Evertrace brings those formation signals into one sourcing workflow. It monitors company registries, patent filings, GitHub activity, domain registrations, academic research, app launches, co-founder searches and other sources. Your team can use the activity behind a founder profile to assess its relevance to your thesis, then send that opportunity into the tools you already use. The emphasis is on people who may be building a company, with context drawn from their work and background.

Specter also supports discovery before a public launch. Its talent feed tracks new founders, stealth activity, career changes and people looking for their next role. These signals sit alongside company profiles, financial estimates, news and investor activity. The broader product can support both founder outreach and company research; it is not limited to companies that have already announced themselves.

For an early-stage fund, the useful question is which sources surface founders that fit its thesis, and how easily the team can turn that context into a relevant first conversation.

‍Founder Signals in Your Workflow
‍Evertrace centers its workflow on finding people who may be forming companies. The starting point is activity: a new legal entity, code, an invention, a domain or research that could lead to a business. Founder profiles and scoring help your team review that activity against its investment thesis. Signals can then flow into Affinity or Attio, reach the team in Slack, or feed a custom workflow through the API or MCP. For a fund researching technical founders, that brings several discovery channels into the same process. Specter brings talent signals together with company research, financial estimates, investor activity and network context. That broader scope can be useful when sourcing and market analysis happen in one platform. Choose the mix of founder signals and research context that fits your fund's sourcing process.
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‍Data Freshness: The Sourcing Window
For pre-seed and seed investors, a useful signal creates a reason to start a conversation. Fresh context helps your team understand what a founder is working on and approach them with something more specific than a generic introduction.

Evertrace monitors formation activity daily across company registries, GitHub, patents, domains and research. A signal gives your team a starting point for investigating a founder and their work. Source publication, detection and delivery are different moments, so freshness depends on the source and market. The workflow brings these signals into your CRM, team alerts or connected tools.
Filters help reduce shell companies and holding structures so your team can focus on relevant founders.

Specter describes delivery on the day a talent move is detected, with dated records and daily feeds. In both workflows, the practical goal is timely context that helps your team start a relevant founder conversation.

Evertrace monitors multiple sources for signs of company formation. Each adds a different piece of founder context:

Company registries: Monitors new incorporations and connects legal entities with founders. Filters help reduce shell companies and holding structures.
GitHub: Detects engineers transitioning from side projects to startup formation by monitoring stealth activity and early building patterns.
Patent filings:Surfaces new IP from inventors and small teams, helping funds identify potential technical spinouts.
Academic research: Tracks researchers whose work has commercial potential and flags when they shift from academia into venture creation.
Domain registrations: Tracks domain registrations and links them to people, past ventures and technical activity.
Research grants: Tracks research grant recipients whose projects may signal future company formation.

Specter combines talent discovery with company and market intelligence:

News and media: Aggregates insights from 60,000+ outlets, distilled by AI into company-linked data. Revenue estimates: Combines reported figures with modeled revenue and valuation estimates, including confidence bands.
Investor interest: Monitors investor activity to predict upcoming funding rounds and acquisitions.
Talent movements: Tracks new founders, stealth activity, career changes and executive moves.
Company data: Funding history, valuations, headcount, web traffic, and social followings.

From signals to outreach.
Evertrace turns formation signals into context your team can act on.
‍Evertrace brings formation activity into a founder sourcing workflow. Specter combines early talent discovery with broader company and market context. Both can support early-stage outreach. Evertrace is a strong fit when your team wants to work from registries, technical activity, patents, domains and research.

‍Workflow and Integrations
‍Evertrace is built to push thesis-matched founder signals directly into early-stage sourcing workflows:

‍Slack - founder-signal alerts in your team’s workflow
‍Affinity - signals sync directly into your deal flow CRM
‍Attio - same direct sync for Attio-based workflows
AI Agents - connect via Evertrace MCP
Bulk data delivery - receive data on your preferred schedule
‍REST API - feed founder signals into custom dashboards or proprietary systems

Specter connects its data and signals to your existing tools:

CRM and alerts with Attio, Affinity, Slack and more
Data warehouse delivery: bulk files via AWS S3, Google Cloud and Snowflake
MCP and extension: connect AI clients and view profiles while browsing
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Evertrace sends founder signals into the tools your team uses for sourcing: CRM records, Slack alerts, API workflows and AI agents. Specter also connects discovery and research to CRMs, alerts and AI tools. Evertrace keeps the workflow centered on founder formation; Specter adds broader company, financial and network context.

‍Who Should Use What:

Choose Evertrace if:
- You invest at pre-seed or seed and want to expand founder discovery beyond your existing network
- You want a sourcing workflow centered on founder formation signals and the people behind them
- You want company registrations, technical activity and research signals brought into your sourcing process
- You source from patents, company registries, GitHub, domains, co-founder searches, academic research and app launches
- You use Affinity or Attio and want signals to flow directly into your CRM
- You use AI tools like Claude or ChatGPT - so you can connect Evertrace MCP
- You want AI-scored founder detection based on similarity to past successful VC-backed founders
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‍Choose Specter if:
- You want stealth-founder discovery alongside company and market research in one platform
- Revenue estimates and company performance data are central to how you evaluate opportunities
- You want news monitoring and investor interest signals alongside company data
- Your team wants talent signals, financial estimates, AI agents and network context together

Use both if: You want Evertrace’s formation signals alongside Specter’s broader company research and financial context. Both can surface early opportunities, so the value of a combined setup depends on the additional relevant founders and information each contributes. Keep the workflow focused on useful coverage, shared CRM records and a clear next step for your team.