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Bextrad

Clean lists, verified leads, and spam-safe deliverability — all in one platform.

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Catch-all detection is the part I'd want to understand. We email hiring teams at small game and tech studios, and a big share of their domains accept anything, so a plain SMTP check says valid for every guess. Our real trouble was not hard bounces but mail that was accepted and then went nowhere, which hurt the sender reputation without ever showing up in the bounce stats. When the deep analysis looks at a catch-all, what does it actually return: a probability per address, or just risky versus safe?

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Younes El Meliani's avatar
Younes El MelianiAuthorOct 3, 2026

Exactly. You've completely grasped the fundamental technical problem: there's no magic bullet or algorithmic solution to 100% validate a true catch-all using a simple SMTP handshake, since the remote server will intentionally respond 250 OK to any fabricated address. Anyone claiming otherwise is just selling hot air.

That's why searching for a binary yes/no is a technical dead end. In Bextrad, we use a safety scoring system: the higher the score, the safer the email is to send. If it's a catch-all, the score adjusts accordingly, giving you the exact threshold you need to protect your MTA reputation without missing out on valid leads.

SpinHire's avatar
SpinHireOct 4, 2026

@bextrad  A score fits how we ended up thinking about it anyway. On a catch-all domain the real question is how much reputation we're willing to bet on one guess, not whether the mailbox exists. Does the score ever learn from what happens after sending, like a domain where accepted mail keeps going silent, or is it built only from checks done before the send?