Pre-flight policy checker for ad creatives and landing pages targeting Meta, TikTok and Google policies; UA teams and agencies pay $199–$499/mo · Ad Compliance Automation
DEAD SLOW · CAUTIOUS
5.6 ShipScore / 10
Productized SaaS scores well on time; entry is weak against free Claude-skill clones.
Condition: Must prove UA teams pay $199+ for verified accuracy/audit trails that free LLM skills can't match — e.g., measurable rejection-rate reduction.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
6
Reads public policies, needs no API; platform policy shifts still dictate value.
Entry barriers
3
Free Claude Code checkers and open-source Claude Ads skill already replicate it.
Need
5
No tracked revenue or Reddit signal; rejection pain real but spend unproven.
Time-freedom
8
Automated scanning is productized, but constant policy-tracking upkeep adds labor.
Scale
6
Global UA/agency market, but niche buyer pool at $199–$499 price.
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 $249/mo (assumed category price), you need 335 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.
Claude Ads open-source skill — Free multi-platform audits with compliance checks; claims hundreds-to-thousands GitHub stars.
Mike Futia's Claude Code Meta policy checker — Scrapes live Meta standards and rewrites violations pre-launch — the core feature, free.
ADherence (adherence.tools) — Same positioning: cross-platform pre-rejection warnings, already launched.
04 — Demand evidence
No radar-tracked products, funded companies, or Reddit signals found — demand unproven.
X shows occasional frustration with Meta/Google/TikTok rejections and account restrictions.
Claude Ads posts claim hundreds-to-thousands of GitHub stars — interest exists, but for free tooling.
05 — Risks
DIY LLM prompts commoditize the check, capping willingness to pay.
False negatives cost buyers ad accounts, destroying trust fast.
Platforms may ship better native pre-review, removing the gap.
Policy-tracking across three platforms is ongoing manual upkeep.
06 — Kill switches — what kills this with one decision
Meta native pre-flight review — Meta improving in-product policy warnings makes the third-party check redundant.
Frontier model ad-policy skills — Anthropic/OpenAI or Google shipping free ad-compliance agents zeroes out pricing power.
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot see whether agencies currently pay for compliance review or rejection appeals services.
No data on ADherence revenue or user counts to benchmark conversion.
Cannot measure how often rejections cost UA teams real money versus minor delays.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-10-28.
08 — The wedge & the next step
Regulated verticals (finance, health, housing, credit) where account bans are costly — sell accuracy guarantees and audit logs, not just flags.
Cheapest next step: Interview 10 UA leads at fintech/health advertisers about rejection costs and pre-sell a $249/mo pilot.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 5.6 — 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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