AirProof

Transcribes podcast episodes and verifies sponsor ad reads actually ran, checking talking points and FTC disclosures to produce proof-of-performance for advertiser invoicing. Podcast ad agencies and networks pay $199+/mo. · Podcast Ad Verification

DEAD SLOW · CAUTIOUS

5.8 ShipScore / 10

Strong automation (T8); demand unproven and Podscribe/Podscan crowd entry (E4).

Condition: At least 3 podcast agencies or networks must confirm they'd pay $199+/mo for FTC-disclosure and talking-point audits that Podscribe doesn't already provide.

Part I — The Verdict what the instruments read

01 — The ShipScore breakdown

Control

C7 — transcription/LLM vendors swappable; RSS feeds are open, no single gatekeeper.

Entry barriers

E4 — Podscribe and Podscan already do ad detection; FTC-disclosure angle is the open wedge.

Need

N5 — no tracked MRR, Reddit, or complaints; demand unproven despite real ad spend.

Time-freedom

T8 — automated transcribe-and-check pipeline; light onboarding per agency.

Scale

S5 — narrow B2B buyer pool of podcast agencies and networks.

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.

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.

Podscribe — Established ad measurement/attribution with ART19 HLS integration; could add disclosure checks.
Podscan — Already transcribes podcasts and sends sponsor alerts — close to core verification.

04 — Demand evidence

No Reddit demand signals found for these keywords.
X chatter almost nonexistent for transcription plus FTC proof-of-performance.
Podscribe and Podscan mentions imply adjacent paid ad-measurement market exists, but no revenue shown.

Domain archived since 2017-07.

05 — Risks

Podscribe or Podscan bolts on talking-point/FTC checks, erasing differentiation.
Dynamically inserted ads vary by listener/geo; one transcript may not prove delivery.
Agencies may treat verification as a cost center and rely on host screenshots/hosting reports.
Small buyer pool limits growth beyond a few hundred accounts.

06 — Kill switches — what kills this with one decision

Hosting platforms (ART19, Megaphone) gating DAI streams — If ad-inserted audio isn't retrievable, dynamic-ad verification becomes impossible.
Incumbent feature launch — Podscribe adding disclosure audits to existing attribution bundles collapses the wedge.

Part III — The Plan if you insist on proceeding

07 — What this scan can't tell you

Cannot see Podscribe or Podscan revenue or whether they already offer talking-point checks.
Cannot tell how often agencies dispute ad delivery or face FTC disclosure issues.
Cannot verify technical access to dynamically inserted ad audio at scale.

Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-11-03.

08 — The wedge & the next step

FTC-disclosure and talking-point compliance reports formatted as invoice-ready proof for host-read ads.

Cheapest next step: Interview 10 podcast ad agency ops leads this week on how they verify host-reads today and what they'd pay.

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.

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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