Fill-rate and supply/demand liquidity analytics for niche two-sided marketplaces; marketplace operators pay for pricing and staffing optimization to prevent churn. · Marketplace Operations Analytics
DEAD SLOW · CAUTIOUS
5.8 ShipScore / 10
Control strong via owned data pipelines; need weak — one $11k rival, zero chatter.
Condition: Land 3 paying niche marketplace operators at $300+/mo within 60 days, using their own order data — proving operators budget for liquidity analytics rather than building internal dashboards.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
7
C7 — direct SaaS sold to operators; no app store or single API landlord.
Entry barriers
5
E5 — only BYQ Supply tracked, no funding, lane open but cloneable dashboards.
Need
5
N5 — BYQ's $11k MRR is the sole proof; zero Reddit/X pull.
Time-freedom
7
T7 — productized analytics, but per-marketplace data integration drags onboarding manual.
Scale
5
S5 — buyer set is niche marketplace operators; small budgets, few thousand targets.
What the five commandments measure
C — Control
Do you own the customer, or does a gatekeeper stand between you and revenue?
E — Entry
How hard is this to copy once it works? A rival's existence isn't the question — the durability of their advantage is.
N — Need
Is demand proven with money rather than vibes?
T — Time
Can income detach from your hours, or did you buy yourself a job?
S — Scale
How far does it reach without linear cost?
Scored on the evidence below, against CENTS as we've adapted it plus a Buffett-style moat reading of every rival — the same referee for every idea, including the ones we generate ourselves. The verdict follows the arithmetic: we never relabel a score to make it read better, and the weakest commandment is always named. The exact rubric stays in-house so the scale can't be written for.
02 — The pace test — $1M/yr
At $299/mo (assumed category price), you need 279 subscribers for a $1M/yr pace.
BYQ Supply — Only tracked player with verified $11k MRR — owns whatever category spend exists today.
In-house analytics teams — Marketplace operators already own the data and build fill-rate dashboards internally for free.
Generic BI tools (Looker/Metabase class) — Good-enough liquidity charts at commodity price, already in operators' stacks.
04 — Demand evidence
BYQ Supply verified at $11k MRR — the single hard spend signal in this space.
Corpus tracks only 1 similar product; 0 verified stalls under $2k MRR.
No funded companies tracked in or near the space — no investor validation.
Reddit: zero signals. X: essentially none — fill rate mentioned only in passing by tiny marketplaces (Gygs, Operon, Konnex).
05 — Risks
Buyer set is tiny: niche marketplace operators number in the low thousands globally.
Operators own their data and treat liquidity analytics as a core in-house competency.
Data integration differs per marketplace — onboarding cost eats margin, blocks self-serve.
Near-zero organic chatter means no cheap inbound channel; pure outbound sales grind.
06 — Kill switches — what kills this with one decision
Customer-side data access (API keys / DB read permissions from each marketplace) — One security or infosec policy refusal per account blocks the product entirely.
Incumbent marketplace platforms (Sharetribe/Arcadier-class) shipping native liquidity dashboards — Bundled free analytics removes the reason to buy a standalone tool.
No existential single gatekeeper otherwise — Distribution is outbound sales, not a platform you can be evicted from.
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot tell whether BYQ Supply's $11k MRR is growing, flat, or eroding.
Cannot size how many niche marketplaces have budget above founder-built spreadsheets.
Cannot verify whether pricing/staffing recommendations actually move fill rate measurably.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-09-30.
08 — The wedge & the next step
Pick one vertical with chronic fill-rate pain (gig/services marketplaces), ship a benchmark report from pooled anonymized data — the one asset an in-house dashboard can never produce.
Cheapest next step: Cold-DM 20 operators of sub-$5M GMV services marketplaces offering a free manual fill-rate teardown; count how many hand over data and ask what a fix is worth.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 5.8 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
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