“Live-event analytics for tour-management teams.”
The read
Strong founder-market fit with a credible product and respectable traction. Fits Connect Ventures' industry thesis cleanly.
Seven years as a tour manager for Grammy-winning artists is a rare background. Technical cofounder from a ticketing platform is directly relevant.
Not a novel category per se, but the depth of industry-specific data integrations and UX tuned for on-tour use is differentiated.
Per-tour pricing scales with customer success. $620K ARR with 44 tours is meaningful early validation.
- ●Founder-market fit
- ●Real paying customers at meaningful tour scale
- ●Industry relationships
- —Category overlap with general sports/event analytics platforms
- ?How defensible are the data-integration partnerships?
- ?What is the typical expansion motion within a touring org?
Six dimensions
Each category is weighted, scored 1–5, and annotated. Totals round to the final AI score.
High-conviction fit with a clear founder-market match and validated early traction. Diligence risks are manageable.
Exceptional founder-market fit.
Execution-driven differentiation.
Large with clear addressable segment.
Per-tour pricing is a clean model.
44 tours, real ARR, top-tier logos.
Complete, well-instrumented.
- ●Verified ARR via data room
- ●Three customer references completed
Advance to term sheet discussion.
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Submission detail
Tour-management teams make merchandise, ticketing, and routing decisions on intuition because real-time venue and merch data is inaccessible mid-tour.
Unified mobile and desktop analytics platform ingesting ticketing, merch, and venue POS data.
$31B live music; top 500 tours generate $11B.
Per-tour SaaS: $2K-$18K per tour depending on scale.
$620K ARR. 44 tours as customers. 6 tours in the top-500 revenue tier.
$4M seed at $20M post.
Former tour manager for two Grammy-winning artists. Seven years on the road.
Senior data engineer at a ticketing platform.
Timeline
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- Feb 10, 2026 · 10:00Submission receivedby System
- Feb 10, 2026 · 10:01Score assigned · AI score: 4 · confidence 84%by AI Analyst
- Feb 12, 2026 · 09:00Score acceptedby David Chen
- Feb 15, 2026 · 14:00Status changed to In Diligenceby David Chen