SaaS valuation database and report generator for micro-SaaS and app deals, helping business brokers and accountants price small online business sales via profit multiples from closed comps. Subscription-based. · SaaS valuation software
STOP · SKIP
4.8 ShipScore / 10
Productized delivery is the strength; tiny broker niche and marketplace-owned comp data sink it.
Condition: Revisit only if you secure a proprietary feed of closed micro-SaaS deals that marketplaces don't publish free, plus 10 brokers committing to pay.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
5
Owned SaaS, but closed-comp data mostly sits with acquire.com-style marketplaces.
Entry barriers
4
Proprietary closed-deal data would be a moat; SaaSmultiples.co and marketplace-published multiples show the lane.
Need
5
No Reddit, funded, or tracked rivals; only niche X multiple talk. Demand unproven.
Time-freedom
7
Reports automate well, but sourcing and verifying comps stays manual.
Scale
3
Micro-SaaS brokers and accountants are a small, fragmented, low-volume buyer pool.
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 $99/mo (assumed category price), you need 842 subscribers for a $1M/yr pace.
No tracked rivals with verified revenue to benchmark against.
Part II — The Evidence the receipts, good and bad
03 — Rival scan
No similar products found in the radar corpus — either genuinely novel, or too small to track.
acquire.com — Owns the closed-deal data and publishes multiples like the ~3.9x micro-SaaS median, so it can undercut any paid tool.
SaaSmultiples.co — An existing valuation-comps tool that already occupies the SaaS-multiples search and mindshare lane.
FlipForge — Shows active flippers price deals off public marketplace multiples (12-36x monthly profit) without paying for a database.
04 — Demand evidence
No Reddit demand signals or funded companies were found for these keywords.
X chatter is 'some', limited to niche M&A talk about profit vs revenue multiples.
acquire.com buyers reportedly favor profit multiples (~3.9x median), so there is interest in the methodology but no proof anyone pays for it.
AI inference costs are pushing valuation focus toward margins, which is a possible angle but only directional.
05 — Risks
Comp data access: without proprietary closed-deal data, the product just repackages free marketplace stats.
The buyer pool is too small, since few brokers or accountants handle enough micro-SaaS deals to justify a subscription.
Deal volume is episodic, so users may churn after a single valuation.
Marketplaces could ship free valuation calculators that commoditize the core output.
06 — Kill switches — what kills this with one decision
Marketplace data access (acquire.com, Flippa) — Blocking scraping or partner feeds removes the closed-comps source the whole product depends on.
Free marketplace valuation tools — A free, data-rich calculator from the deal platform removes the reason to pay.
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
The scan can't show whether brokers already pay for general small-business comp databases, or whether that spend would switch.
It can't verify how many micro-SaaS deals close per year, which caps the addressable market.
It can't show whether any private closed-deal data could be licensed at all.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-10-10.
08 — The wedge & the next step
Verified closed-deal comps contributed by brokers in exchange for free reports, building a data co-op that marketplaces don't share.
Cheapest next step: DM 20 micro-SaaS brokers and accountants this week. Ask whether they'd pay $99/mo for verified closed comps, and whether they'd contribute their own deal data.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 4.8 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.
One evidence-backed gap a day, free
This one got a skip. Every morning the engine files one mined gap that could be a yes — idea, score, and what holds it back, free at 7am AEST. Unedited, like this verdict.
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