InboxGuard
Pre-send deliverability engine to stop emails from hitting s
not because of copy
not because of subject lines
because most of them never actually reach inbox consistently
I kept seeing this pattern:
same list
same copy
same setup
some days replies come in
other days everything dies
no clear reason
people say “test more”
but that feels like guessing
the more I looked into it, the more it felt like:
we’re optimizing emails that might not even be seen
curious if others here have seen this
have you had campaigns where nothing changed but results dropped?
I just launched the first version of InboxGuard because I was tired of great cold emails hitting the 'Spam Trap' despite doing everything right.
In 2026, Google uses AI to flag 'Broadcast Tone' that builders cannot see. I am building this in public at $0 MRR to help this community protect their domain reputations before they hit send.
I would value your raw feedback on the 'Risk Engine' and I am turning deliverability from a guessing game into a science.
1 Comment
This reminds me of something similar on the dev side.
When using AI tools, I noticed different models often give different outputs for the same input.
It makes it hard to know what to trust without double-checking everything.