Evertrace provides an AI-powered founder detection engine that aggregates signals from diverse data sources like GitHub, trade registries, and patents. This platform enables venture capital investors to identify high-potential founders and early-stage ventures before they become widely visible. By connecting scattered data points, the system surfaces actionable insights to support data-driven deal sourcing and investment decisions.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Venture capital investors often miss the earliest signs of founder activity because relevant data—company registrations, code commits, patents, domain claims, and social signals—are scattered across disparate sources and require extensive manual monitoring. This fragmentation delays deal sourcing and forces teams to invest significant time in data cleaning and verification before they can evaluate a potential investment.
Solution
Evertrace delivers an AI‑driven founder detection engine that continuously aggregates and normalizes signals from trade registries, GitHub, X (Twitter), patents, research papers, domain registrations, product‑hunt listings, app‑store releases, and co‑founder searches. Machine‑learning models de‑duplicate and link these signals to real individuals, producing a unified founder profile in near real‑time. Users can explore these profiles through a web dashboard, set up automated workflows that trigger actions when new signals appear, and ingest the data directly via a RESTful API. Integrated connectors push qualified leads into CRMs (Affinity, Attio, Salesforce, HubSpot, Pipedrive) and collaboration tools (Slack, Notion, Airtable) to keep deal pipelines up‑to‑date without manual effort. The platform also offers historical data export and customizable alert thresholds, enabling investors to prioritize high‑potential founders and act faster than competitors.
Target Audience
Primary users are early‑stage venture capital firms and corporate venture arms that need to source high‑potential founders before formal company formation, as well as angel investors and university tech‑transfer offices seeking early‑stage deal opportunities.
Features
- AI‑powered aggregation of >10 public data sources, including trade registries, code repositories, patents, domains, and social media.
- Real‑time signal ingestion with timestamped updates and founder disambiguation across sources.
- Workflow engine that lets users define triggers, conditional logic, and multi‑step actions (e.g., add to CRM, send Slack alert).
- Native integrations with major CRMs (Affinity, Attio, Salesforce, HubSpot, Pipedrive) and productivity tools (Slack, Zapier, Notion, Airtable).
- RESTful API offering granular filtering, fast JSON responses, token‑based authentication, and rate‑limit customization.
- Unified founder view with linked entities, historical activity timeline, and exportable datasets.
- Coverage across multiple geographies and industries, continuously expanded with new unconventional sources.
- Role‑based access controls and enterprise‑grade security for team collaboration.