Founders
Find investors, accelerators, demo days, launch showcases, and market-entry rooms.
AI event and community intelligence
Events Match recommends conferences, communities, meetups, side events, and networking strategies based on what founders, creators, marketers, BD teams, CTOs, and growth leaders are trying to achieve.
The problem
A founder raising a seed round, a creator looking for brand deals, or a BD lead trying to expand into a new market often has the same question: where should I show up, who will be there, and how do I turn that access into results?
Events Match is designed to become the AI layer that translates a goal into the right rooms, communities, people, and pre-event plan.
Who it serves
Find investors, accelerators, demo days, launch showcases, and market-entry rooms.
Discover brand, agency, product, and creator-economy events where partnerships happen.
Meet companies that need growth, content, demand generation, PR, and community support.
Map conferences, trade groups, chambers, and side events for partnerships and expansion.
How it works
Role, industry, stage, geography, budget, and the people the user needs to meet.
Score events and communities against investor, buyer, partner, hiring, and visibility fit.
Show why each room matters, what to do there, and what outcome to chase.
Generate intro lines, target lists, meeting prep, and post-event follow-up workflows.
Your Events Match journey
Sign in after generating recommendations to save your plan, record meetings and outcomes, and build a useful history across fundraising, clients, partnerships, hiring, and expansion.
Progress
Community-powered data
Suggest a conference, meetup, demo day, community, side event, or public calendar. We review submissions before they enter the matching database.
Beyond event discovery
Filter the noise using your role, goal, industry, geography, stage, and budget.
Understand who is likely to be in the room and why the opportunity fits your objective.
Get a focused pre-event plan for target contacts, introductions, meetings, and follow-up.
Suggest high-signal events and communities for review so the database improves over time.