Attendees show up to conferences without a plan, default to random hallway encounters, and leave without meaningful connections. The people who get value over-prep manually — researching attendee lists, pre-booking coffees, planning follow-ups.
Pulls attendee/speaker lists, matches you with relevant people based on your goals (deepen relationships, validate ideas, fill pipeline), helps you pre-book 1:1 meetings, and automates personalized follow-up sequences post-event.
freemium — free for 1 event/quarter, $49/event or $199/year for power users with CRM sync and follow-up automation
The pain is real but episodic — it flares around events (3-10x/year for power users) then goes dormant. People who over-prep manually (your ideal users) feel this acutely, but the majority of attendees accept mediocre conference ROI as normal. The Reddit signals are genuine but from a self-selected crowd of operators who already believe in conference prep.
TAM is narrower than it looks. Your ICP is 'B2B operators/founders attending 3+ conferences/year who would pay $199/year.' That's maybe 500K-2M people globally. At $199/year with realistic penetration, you're looking at a $5M-$20M revenue ceiling before hitting saturation. This is a solid lifestyle/indie SaaS business, not a venture-scale market.
These users already spend $1,000-$3,000+ per conference (ticket + travel + hotel). A $49/event tool that helps them get 2-3 more quality meetings is an easy ROI argument. The $199/year plan is well-anchored. However, the free tier needs to deliver enough value that users experience the magic before paying — otherwise the episodic usage pattern kills conversion.
The hardest part is data acquisition. Attendee/speaker lists are not standardized — some events publish them, many don't, some are behind apps (Brella, Swapcard), some are just PDF badges. You'll need scrapers, API integrations with event platforms, manual CSV upload fallbacks, and LinkedIn/Apollo enrichment. The matching algorithm and follow-up sequences are straightforward, but the data pipeline is messy and fragile. A solo dev can build an MVP in 6-8 weeks if they scope it to 'upload a CSV attendee list + enrich + match + schedule' rather than trying to auto-pull from every event platform.
The whitespace is genuinely large. Every existing tool is sold to organizers, not attendees. No product combines pre-event research + AI matching + meeting scheduling + post-event follow-up for the individual professional. The closest workflow is manual Apollo/LinkedIn grinding, which validates demand but is painful. You'd be the first attendee-side tool purpose-built for conference ROI.
The $199/year plan works for power users (3+ events/year), but the core usage is inherently episodic. Risk of high churn between conference seasons. You need to build 'always-on' value — relationship CRM across events, warm intro tracking, conference calendar planning — to justify year-round subscription. Without that, per-event pricing ($49/event) may be more natural and honest, which caps recurring revenue.
- +Clear whitespace: no attendee-side tool exists that combines research + matching + scheduling + follow-up
- +Strong willingness-to-pay anchoring — users already spend $1K-$3K per event, $49 is a rounding error
- +Pain is validated by real behavior (manual over-preppers doing exactly this workflow by hand)
- +AI enrichment makes this feasible now in a way it wasn't 2 years ago
- +Natural word-of-mouth channel — attendees share prep tools with other attendees at events
- !Data acquisition is the make-or-break challenge — attendee lists are fragmented, inconsistent, and sometimes unavailable. If you can't reliably get the list, the product doesn't work.
- !Episodic usage pattern creates churn risk and makes subscription hard to justify outside conference season
- !Event organizers may block scraping or view you as competitive/unauthorized, especially if you're enriching their attendees' data without permission
- !LinkedIn and data enrichment APIs have rate limits, costs, and ToS risks that could break your pipeline at scale
- !The 'hallway serendipity' crowd (majority of attendees) may never convert — your market is the disciplined minority
AI-powered event networking platform with 1:1 meeting scheduling and attendee matchmaking, sold to event organizers who embed it into their conference apps.
AI-driven event networking and matchmaking platform for large trade shows, now part of RainFocus. Swipe-style interface for accepting/declining meeting suggestions.
All-in-one event platform with AI matchmaking, meeting scheduling, exhibitor management, and hybrid/virtual event support.
Lightweight event creation and community platform popular with tech/startup communities. Beautiful event pages with attendee directory visibility.
Not event-specific — sales intelligence platforms that power users cobble together for pre-conference attendee research, email finding, and outreach.
CSV upload + AI enrichment + smart matching MVP. User uploads an attendee list (CSV, screenshot, or event page URL), system enriches each person via LinkedIn/Apollo/Clearbit data, user sets their goals ('fill pipeline for Series A fundraise' or 'find design agency partners'), AI ranks and recommends 10-15 people to meet with one-line reasons why. Include a simple Calendly-style scheduling link generator for pre-booking 1:1s and a post-event follow-up email drafter. Skip the event platform integrations for V1 — manual upload is fine. Ship in 6 weeks.
Free: 1 event/quarter, up to 50 attendees, basic matching. Paid ($49/event): unlimited attendees, AI enrichment, personalized outreach templates, follow-up sequences. Annual ($199/year): unlimited events, CRM sync (HubSpot/Salesforce), cross-event relationship tracking, team features. Scale: sell anonymized intent data to event organizers ('37% of your attendees are looking for CRM solutions') as a B2B2B play.
8-12 weeks. 6 weeks to build MVP, 2-4 weeks to get first paying users by dogfooding at your own next conference and sharing with the Reddit/Twitter B2B operator community. Conference season cycles matter — launch before a major industry event cluster for fastest traction.
- “Do proper LinkedIn outreach to attendees before you ever step foot in the door so you know exactly who you're meeting”
- “over-prepping for mid-size stuff: research the attendee list, pre-book 6-8 coffees”
- “Met a ton of people, remembered maybe 4-5 of them a month later”
- “collected a pile of business cards that went into a drawer”