May 23, 2026
FeeSight
This is a money problem that looks like an operations problem. A diner owner in Omaha just ripped DoorDash and Uber Eats off his floor after the apps extracted $188K in a year. That’s not an anecdote.
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VC Panel Verdict
Marcus
The Hawk
Interesting wedge: “found money” recovery for restaurants via statement audit + dispute packets. But capital efficiency hinges on dispute success rate, time-to-cash, and support ops cost. Without proof of recoverability and scalable workflow, payback and burn multiple are likely to miss targets early.
Amara
The Visionary
A high-speed, capital-efficient play targeting a visceral pain point. The architecture is lean, but the real asset is the data flywheel generated from aggregating platform discrepancies, which creates a compounding moat over time. Code is minimal; the data asset is everything.
Sofia
The Empath
This is a textbook example of instant value delivery with natural viral mechanics. The 'aha moment' happens within 60 seconds of uploading a CSV—you see real money you're owed. The success-based model removes all friction, and restaurant owners will absolutely talk about found money in their networks. My concern is purely around the post-aha retention loop.
Market & Execution Scores
Market Sizing
- TAM (Total Addressable Market)
- $X.XB
- SAM (Serviceable Addressable Market)
- $X.XM
- SOM (Serviceable Obtainable Market)
- $X.XM
Revenue Potential
ARR Growth Projection
Year 1
$XXX,XXX
Year 2
$X.XM
Year 3 Target
$XX.XM
Pricing Tiers
X tiers
Free → Paid Conversion
XX%
Annual Retention
XX%