Happenstance
An AI network-intelligence platform used to search the partnership's pooled LinkedIn and Outlook connections in natural language to find warm intros to founders, operators, and LPs.
happenstance.ai/ ↗AI querying over personal LinkedIn and Outlook connections.
2FA · data stays in Happenstance
Boardy · Spotter
An AI-powered network-intelligence / people-search platform that lets users search their (and their network's) professional connections using natural language to find people for sales, hiring, fundraising, and warm introductions.
Connects accounts (Gmail, Google Calendar, LinkedIn, Twitter/X, Instagram, Outlook) via OAuth or data exports to build a unified, searchable network graph. Natural-language queries (e.g., "VP of Engineering at a Series B–D fintech in NYC/SF who scaled an org 50→200") return ranked matches with warm-intro paths. Friend/Group sharing pools multiple people's networks into one searchable graph. Automated research dossiers compile work history, education, and mutual connections. A browser extension keeps LinkedIn/Twitter connections synced.
Uses LLMs and embedding search to interpret intent and rank results by relevance, relationship strength, and recency. Supports the Model Context Protocol (MCP) to connect from Claude, Cursor, ChatGPT, or other AI assistants, and provides a REST API (api.happenstance.ai) for programmatic people search.
Not consistently published; offers a free entry point (connect accounts to start) with paid/group tiers. Confirm current pricing directly — flag as not publicly transparent.
Gmail, Google Calendar, LinkedIn, Twitter/X, Instagram, Outlook; Slack; MCP connector; REST API; browser extension.
Handles sensitive personal/network data (email, contacts, social graphs) — specific certifications (SOC 2, etc.) not clearly published; flag as to-be-verified given the data sensitivity. Review data-handling and privacy terms before connecting firm accounts.
Founded 2023; HQ San Francisco; Y Combinator Winter 2024 batch; small team (~3–6). Co-founder Alex Teichman (Stanford CS PhD, previously co-founded Lighthouse AI). Raised a seed round (~$2.5M per PitchBook) from Y Combinator, Team Ignite Ventures, Pioneer Fund, and Zelda Ventures. Reportedly used by 300,000+ users including teams at Y Combinator, Greylock, Perplexity, and Brex.
Directly relevant — warm-intro sourcing is core to VC/GE. Useful for finding paths to founders, co-investors, LPs, executives/operators for portfolio hiring, and references, by searching a firm's collective network. The Group feature pools the whole firm's connections; MCP/API enable AI-native workflows.
Data sensitivity is high (personal email/social graphs); transparent pricing not published; small team / early-stage vendor (continuity risk); accuracy of warm-intro paths depends on connection-strength signals that can be noisy.