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FeeclearAn automated daily crawler that checks a venue's live booking, menu, and ordering surfaces for mandatory fees hidden from the displayed price, and produces a signed PDF certificate the operator can hand to a DCWP or FTC auditor.
0/5000%
hospitality, restaurants & travel·run 043 · Apr 2026

Feeclear

An automated daily crawler that checks a venue's live booking, menu, and ordering surfaces for mandatory fees hidden from the displayed price, and produces a signed PDF certificate the operator can hand to a DCWP or FTC auditor.

Genesis score6.32/10
Make Feeclear real.0/500
500 more votes and Feeclear is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
Feb 2026Enforcement live since
$40MCited enforcement warning
The case

A New York hotel or restaurant operator believes they are compliant with the junk-fee ban. But the price a guest actually sees is assembled live by a booking engine, a menu CMS, and a third-party ordering widget, and any of them can quietly start tacking a resort fee or a service charge onto the back end of the flow without the operator ever touching the site. The first time they learn a fee was buried is when an enforcement letter arrives, and by then they have no record of what the page showed on the day in question.

Who pays — and why

The operator or general manager of a New York hotel or restaurant who personally carries the DCWP enforcement exposure, owns the booking and menu surfaces, and has no way today to prove what those surfaces displayed on a given date.

Market signal$99-499/mo per venue/mo per venue - market reference observed in the category, set your own against the audit exposure you remove
What it unlocks
A continuous, external verification layer over booking, menu, and ordering surfaces that operators currently cannot watch themselves
A non-fakeable signed-PDF evidence chain purpose-built for a DCWP or FTC audit, in a market where no scanner currently produces one
A booking-flow extraction corpus that compounds per chain and per surface as more venues are watched
How Genesis scored it
6.32across seven criteria
tension 6temporal 8blindspot 5buyer 6leverage 8convergence 5why-not 7
8
Temporal window

The New York junk-fee ban became enforceable in February 2026 within the Safe Hotels Act stack, with a quantified enforcement warning, named and very recent.

8
Asymmetric leverage

Automated crawling plus signed-PDF certificate generation at SOFT complexity is close to pure SaaS.

5
Convergence

One cross-reference and four inbound links, with two confirmed signals, one of which is only partially on point.

Why it scored well

A named, recent regulation with a hard enforcement date and a quantified enforcement warning makes the demand current and concrete, the work is near-pure SaaS (automated crawling plus PDF generation) which keeps execution leverage high, and the signed-evidence niche is confirmed empty.

What's holding it back

The whole demand driver is one city's enforcement posture, so concentration risk is real; the convergence around the idea is thin (a single cross-reference) and no compliance-scanning incumbent was named to test the blindspot, so the moat rests on execution and the evidence corpus rather than on a structural gap a competitor cannot follow into.

Signals detected2 sources crossed
SignalNYC.gov primary source

SignalMarket scan (HotelComply / Avalara / Orvia / Oxmaint cover adjacent compliance only)

Connected ideas· 3 in the web

Genesis doesn't invent in isolation — Feeclear shares architecture with, or powers, these ideas.

Direction brieffeeclear.md
feeclear.md
Want this pointed at your vertical?Point Genesis at your own market and constraints — it invents adjacent, fork-ready ideas, private to you before they hit the public feed.

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Feeclear — Genesis · saascode