CaptionGuard

WCAG/ADA compliance auditor for AI-generated video that flags missing captions, audio descriptions, and contrast failures; sold to legal/compliance and L&D teams at mid-market companies. · Video Accessibility Compliance

DEAD SLOW · CAUTIOUS

6.0 ShipScore / 10

Time/control strongest; entry weakest — WCAG scanners clone fast, tracked revenue tiny

Condition: Three mid-market legal/L&D teams pay $200+/mo for video-specific audit reports before build

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

C7 — own scanner SaaS; video/cloud vendors swappable, no single gatekeeper

Entry barriers

E4 — axe-core and stele.so already flag captions; lane open but cloneable

Need

N6 — only $3k+$1k verified MRR; video/L&D wedge differentiates but spend unproven at scale

Time-freedom

T7 — automated audits productize well; compliance sign-off may need human review

Scale

S6 — global mid-market, but narrow buyer (legal/compliance, L&D) limits reach

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 $199/mo (assumed category price), you need 419 subscribers for a $1M/yr pace.

Nearest tracked rivals on that curve:

AutoSubtitles

$3k 4%

ADAWCAG

$1k 2%

Part II — The Evidence the receipts, good and bad

03 — Rival scan — corpus tracks 2 similar, 1 stalled under $2k MRR

AutoSubtitles	verified MRR $3k (trustmrr)
ADAWCAG	verified MRR $1k (trustmrr)

AutoSubtitles — $3k verified MRR already owns the caption-generation adjacency buyers ask for first
stele.so — Already flags missing captions inside general WCAG audits — direct feature overlap
Accesstive — AI+human WCAG/ADA scanner with fixer; can add video checks as a module

04 — Demand evidence

Verified but small: AutoSubtitles $3k MRR, ADAWCAG $1k MRR — one stalled under $2k
Zero Reddit demand signals for these keywords — no organic pain volume found
X chatter 'some' only: scattered WCAG tool launches, occasional ADA lawsuit gripes, no breakout
No funded companies tracked in/near this space — investor validation absent

05 — Risks

Accessibility auditing is commoditizing around free axe-core; price compresses fast
Buyers may want remediation (captions generated) not just flagging — audit-only is thin
ADA/WCAG enforcement for internal L&D video is weaker than public web; urgency low
False positives on contrast/audio-description detection erode trust with legal buyers

06 — Kill switches — what kills this with one decision

Video platform APIs (LMS/YouTube/Vimeo) restricting programmatic asset access — Removes ability to ingest and scan customer video libraries at scale
An incumbent WCAG scanner (Accesstive, stele.so) shipping video/caption checks free — Turns your entire product into a checkbox feature overnight
DOJ/regulatory softening on digital accessibility enforcement — Removes the legal fear that funds compliance budgets

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot tell whether mid-market legal teams budget separately for video vs web accessibility
Cannot verify how accurately automated tools detect missing audio descriptions today
No data on ACV or sales-cycle length for compliance buyers in this niche

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-09-06.

08 — The wedge & the next step

Own AI-generated/L&D video specifically — audit trail and attestation reports legal teams can file, which web-page scanners cannot produce

Cheapest next step: Cold-email 20 mid-market L&D and compliance leads offering a free manual audit of 10 training videos; count how many ask what it costs ongoing

Not quite it? Spin the model

Business-model variations of this idea, engineered to beat 6.0 — different vertical, audience, model, or wedge. Same harsh scale. Pro feature.

One evidence-backed gap a day, free

Close — but conditional. Every morning the engine files one mined gap, scored on the same harsh scale as this one. Free at 7am AEST, unedited.

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Monitor this idea

Weekly re-scan against the live corpus. If the market moves this ShipScore by a point, or flips the verdict, you hear about it. Free while we're small.