Email deliverability on autopilot. A subscription-based, AI-native email deliverability service where AI agents and human experts work as an extension of your team to audit your infrastructure, fix issues, monitor email health daily, and improve inbox placement with weekly reporting.
If email is part of your growth, but nobody really owns deliverability inside your team, share your setup or challenge in the comments. We’ll take a look and give practical advice.
Like most founders, email has been our #1 sales channel since our first startup in Station F, Paris.
That’s what led us to build Mailwarm and work on email deliverability since 2020.
And one thing became clear: Deliverability is not a one-time fix. It needs someone to own it.
Your reputation changes.
Your authentication can break.
Your inbox placement can drop without warning.
That’s why we built MailAdept.
An AI-native deliverability service where AI agents and human experts work as an extension of your team.
We audit your setup, fix issues, monitor email health daily, track inbox placement, and send clear weekly reports.
Not just advice. Not just a dashboard.
A real deliverability team helping your emails reach the inbox continuously.
Took a chance on this and the weekly reporting actually flagged a real SPF issue I'd been ignoring. The audit was surprisingly thorough for something that runs on autopilot.
Curious how the split actually works between your AI agents and the human experts, like which parts of the audit are fully automated and which still need a person in the loop? Want to know what I am actually getting for the subscription tier before I bring it to my team.
The daily monitoring plus weekly reports combo is genuinely useful, finally I can see why emails are landing in spam without digging through dashboards myself.
The weekly reports are surprisingly detailed and actually useful, not just vanity metrics. Pairing AI monitoring with human review feels like a smart middle ground.
Curious how this actually plays out in practice since most deliverability services are kind of hands off. Does the AI agent just flag stuff for a human to review, or can it directly push changes to things like SPF/DKIM records on my behalf?
The setup was painless and I noticed the weekly placement reports actually flagged a SPF misconfiguration I'd been chasing for months. Having both AI and a real person reviewing things feels like the right balance.
Congrats! Deliverability really is one of those things nobody on the team wants to own until it breaks. Curious how hands on you get when something drops, are you fixing the DNS and auth for the client or pointing them to it?
Deliverability being nobody's job is the hidden killer. Every founder I've talked to who runs cold email eventually finds out that "we have SPF and DKIM configured" doesn't mean their emails are landing anywhere useful.
Real setup for what it's worth, running 3 warmed domains, 9 mailboxes, mid-launch prep. What I keep learning the hard way:
1) Warmup networks warm you up to other warmup networks. Auth clean, Mail-Tester 10/10, no blacklists, 57% Gmail inbox on first real test. The warmup graph and the real Gmail graph are not the same graph, and no dashboard tells you that.
2) The metrics that predict inbox placement don't show up until they're already broken. By the time reputation drops, you've already sent to a batch you'd like back.
3) The move that changed the most for me was reducing volume even after warmup looked "done." Sending fewer, better-targeted emails from a warm domain outperforms sending more from a "fully warmed" one.
Honest question, what's your take on the tradeoff between adding a deliverability service like MailAdept vs. just sending less volume? I'm trying to figure out if the fix I've been reaching for (throttle everything) is a real fix or a compensation for infrastructure I should be paying someone else to own.
The weekly inbox placement reports actually showed changes I could measure in our open rates, which is more than I expected from a "set it and forget it" tool.
Deliverability genuinely needs an owner, the framing makes sense :) But picking up Curious Kitty's thread: the answers here list what you monitor (DKIM, blacklists, metrics), not how you know the placement number is real.
Gmail and Outlook never tell you if a real recipient hit Primary, Promotions or Spam. So placement usually comes from seed lists, the least representative inboxes there are: they never open, reply, or rescue you from spam. You can read "95% inbox" on the panel and still land in Promotions for the humans who matter.
So: what's actually behind the daily signal, seed panels, Postmaster, real engagement telemetry? And when the panel says green but the leads say spam (like Anas described above), which do you trust?
Congrats on the launch! ;)
How does the AI actually decide when to escalate something to a human expert versus handling it on its own?
Curious how this works with custom transactional sending setups, especially if we already have our own DKIM/SPF records in place from years ago. Would the audit just confirm whats working or actually help us rethink the whole infrastructure setup?
How does the pricing actually scale as the list grows, and does the weekly reporting give concrete next steps or just charts?
Curious about the AI side, does it proactively recommend infrastructure changes (SPF, DKIM, DMARC, domain reputation, etc.), or does it also implement fixes?
Don't you think that sales & marketing industry is all about establishing personal connection with people but not automated spam email "owned" by someone who doesn't give a damn and only one metric is to deliver and foist off your "whatever" product to "whatever" customer? How can AI email marketing solve the flood of dead letters? And what exactly makes you better then vibecoded in a few days personal tool for $100?
We live in an interesting world. I wonder how long it will be before this turns into a battle between AI agents writing and sending emails and AI agents setting increasingly strict inbound filters - with absolutely no human involved in the process. Or are we already there?
About MailAdept by mailwarm on Product Hunt
“AI Agents & Email deliverability experts on your team”
MailAdept by mailwarm launched on Product Hunt on July 1st, 2026 and earned 241 upvotes and 72 comments, placing #6 on the daily leaderboard. Email deliverability on autopilot. A subscription-based, AI-native email deliverability service where AI agents and human experts work as an extension of your team to audit your infrastructure, fix issues, monitor email health daily, and improve inbox placement with weekly reporting.
MailAdept by mailwarm was featured in Email (36.7k followers), Email Marketing (33.5k followers) and Artificial Intelligence (472.4k followers) on Product Hunt. Together, these topics include over 115.2k products, making this a competitive space to launch in.
Who hunted MailAdept by mailwarm?
MailAdept by mailwarm was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how MailAdept by mailwarm stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan