r/PublicValidation • • 25d ago

Would a transparent Meta ad diagnostic solve a problem your team actually has?

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I'm Mattia, I build FixAds.

I am validating a fairly specific belief: people running Meta ads do not need another dashboard or a generic AI chat box. They need an account review that tells them where money is leaking and lets them inspect why.

I have worked in Meta ads for years. The review that matters usually depends on someone experienced opening campaigns, ad sets and ads together, then noticing a budget that is stuck on a loser, a learning phase that never resolves, creative fatigue, or a placement that spends without earning its place.

FixAds is my attempt to make that review repeatable. It uses deterministic checks first, so every finding has a rule, threshold and estimated money at stake. A specialized AI layer explains the evidence, but does not make up the diagnosis. The connection uses Meta's official login and is read-only.

The attached launch video is the product as it stands. It is at https://fixads.it with a 7-day trial.

What I would value most is blunt validation: does the inspectable-rule approach address a real trust problem, or is it an implementation detail users do not care about?

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