AppRadar AI

Known limitations

AppRadar AI is real, working software — not a finished product. Here is what we know it doesn't yet do well, stated plainly rather than left for you to discover.

AI Analysis quality is self-scored, not independently reviewed

The seven AI-generated deliverables and four Master Prompts are produced by a real, live pipeline against real market data, but their quality has only been assessed by the same process that built them — no independent, blinded review exists yet. Treat the output as a strong starting point, not a substitute for your own judgment.

AI Analysis takes real time

A generation typically completes in about 3 minutes, and can take up to roughly 4 minutes during heavier load. This reflects seven real, sequential AI calls against real market data — not a placeholder wait.

Market Radar confidence reflects genuinely limited data, honestly

Every ranked opportunity shows a real confidence label — Low, Moderate, High, or Very High — based on how much real snapshot history, publisher information, and market data actually exists for it. Apple's public data does not include download or revenue estimates, so no listing can currently reach the highest confidence tiers through this data source alone; a confidence label is a statement about data completeness, not a hidden judgment about the opportunity itself.

Password-reset email delivery is not yet live

The complete password-reset flow — request, token, confirmation, and sign-in with a new password — works correctly today. Automatic email delivery of the reset link is built and tested, but not yet connected to a live email-sending account.

Error monitoring is wired but not yet verified end-to-end

AppRadar AI reports unexpected errors to a real error-tracking system when one is configured. That connection has been built and tested in isolation, but has not yet been verified against a live account receiving real events.

AppRadar AI — real, structured analysis grounded in real market data. Known limitations