Automates IARC questionnaires, Apple privacy labels, and Google Data Safety forms for game studios; indie and mid-size studios pay $99-199/mo to ensure store-submission compliance. · game compliance
DEAD SLOW · CAUTIOUS
5.4 ShipScore / 10
Automation keeps time freedom strong; episodic need and store-owned forms weaken control.
Condition: Studios must confirm they pay monthly, not per-launch, and value IARC/game-specific handling over generic pre-submit scanners.
Part I — The Verdict what the instruments read
01 — The ShipScore breakdown
Control
5
Product exists at Apple/Google/IARC's discretion; their form changes dictate the roadmap.
Entry barriers
4
Defanso, NoReject Ai, and tryrevyl already launching; no moat beyond a games focus.
Need
5
Flibbo's $100k MRR is unclear relevance; zero Reddit signals; the pain is per-submission, not monthly.
Time-freedom
8
Questionnaire automation is fully productizable; little manual service needed.
Scale
5
Global but narrow: indie and mid-size game studios submitting store builds.
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 $129/mo (assumed category price), you need 646 subscribers for a $1M/yr pace.
Defanso — AI scanner already covering privacy labels, manifests, and listings to catch rejections pre-submit.
NoReject Ai — Pre-submission review against 180+ guidelines; broader scope could absorb this feature.
Comp AI — $34.0M-funded compliance automation player that could expand into app-store compliance.
04 — Demand evidence
Tracked similar products show verified spend: Flibbo $100k MRR, DropPop $28k MRR. Their direct overlap is unclear.
X complaints describe rejections from wrong or missing privacy labels, age ratings, or undeclared data.
No Reddit demand signals were found, so demand from game studios specifically is unproven.
Funding heat
Comp AI — $34.0M unknown 2026-09
05 — Risks
Usage is episodic (launches and updates), so studios may churn between submissions.
Generic pre-submit AI tools are multiplying and could commoditize this.
Apple or Google could auto-generate labels from SDK manifests natively.
Liability exposure if an automated answer causes a mis-rating or a policy violation.
06 — Kill switches — what kills this with one decision
Apple/Google native automation — Stores auto-fill privacy and Data Safety forms from SDK manifests, erasing the core value.
IARC questionnaire changes — IARC restricts or reshapes how the questionnaire is answered, breaking the automation.
Part III — The Plan if you insist on proceeding
07 — What this scan can't tell you
Cannot verify whether Flibbo or DropPop actually serve store-compliance buyers.
No data on how often game studios submit builds, so retention economics are unknown.
Rejection rates and costs for game studios are unquantified.
Scores judge the market and business model — not your ability to execute. Verified MRR = independently tracked revenue; reviews/upvotes = platform-reported. Judged 2026-10-03.
08 — The wedge & the next step
Game-specific coverage: IARC plus ad and analytics SDK mapping (Unity, AppLovin, etc.) auto-generating all three forms from the build.
Cheapest next step: DM 20 indie game studios on X and Discord, offer free label generation for their next submission, and test whether they'd pay $99/mo afterward.
Not quite it? Spin the model
Business-model variations of this idea, engineered to beat 5.4 — 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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