Your emails go to spam. mailX shows you why, and how to fix it in seconds with clear answers and exact steps. Built for humans and AI agents. API and MCP ready.
@manal_essalek1@byalexai Yes at mailX, we are focused on turning issues into actionable fixes rather than just showing raw data. So yes, the idea is to guide you with clear next steps when something is wrong, and give you the right tools to solve deliverability problems. :)
Yes, and that’s actually one of the most valuable parts of it. It doesn’t just flag issues, it also gives simple, actionable recommendations so you know what to fix without digging too deep.
Deliverability for AI-driven outbound is a genuinely new problem: the volume patterns and sending behavior are nothing like human senders, so the old warm-up playbooks don't quite fit. Smart to build the tooling specifically for agent-first workflows. What signals are you using to distinguish 'good' AI send patterns from spam-flagged ones?
@tonyspiro That’s the challenge now. AI agents can send at a scale and consistency that doesn’t really look human anymore, so traditional deliverability patterns are changing fast to keep up. We look at signals like authentication health, reputation, sending velocity, engagement quality, bounce rates, and behavioral anomalies across providers. The hard part is that inbox providers keep evolving their own detection models too.
@naimz The behavioral anomaly detection angle is the one I'd bet on long term. Authentication health and reputation are table stakes, but the signal that matters is whether the engagement pattern looks like a human relationship or a broadcast. Replies, threading, response latency variance. The inbox providers are already modeling this, the question is whether senders can get ahead of it or are always reacting. Feels like there's a whole new category of infrastructure here just for AI-native outbound.
@tonyspiro This is very close to how we think about it too. Authentication and DNS health are becoming the baseline, but behavioral trust signals are where things get really interesting in an AI-native world.
Inbox providers are clearly getting better at modeling whether interactions look like genuine human communication versus mechanically optimized outbound. I agree there’s probably an entirely new infrastructure layer emerging around agent-aware deliverability and reputation management.
@tonyspiro We focus on: proper authentication (SPF, DKIM, DMARC all aligned), domain reputation, blacklist status, and correct sending infrastructure config. A well-configured domain can send at agent-scale.
Report
This actually can reduce a lot of time, especially for buessniss owners and people interacting a lot with Emails.
Myself, I get hunderends if not thousands of emails each day. mailX will help a lot.
@basheer_rjoub That’s exactly the kind of workflow mailX is for 🙌 When your inbox volume gets that high, even saving a few seconds per email adds up fast.
@basheer_rjoub Totally agree, this becomes a huge time saver, especially for business owners or anyone buried in emails. When you’re getting hundreds or even thousands a day, something like mailX can make a real difference.
@basheer_rjoub Absolutely. Email-heavy teams feel the pain very fast. When you deal with hundreds or thousands of emails, even small deliverability issues create a lot of wasted time.
That’s exactly why we want mailX to make diagnosis faster and clearer.
Report
i like the focus on explaining what is wrong instead of just showing technical metrics 👀 Most founders are not email infrastructure experts.
@asheer_ahmad Exactly! people can see SPF/DKIM/DMARC records or deliverability metrics, but translating that into what’s actually broken and what should I do next? is the hard part.
That’s the gap we’re trying to close with mailX :))
A lot of the product came from seeing how painful and confusing deliverability setup still is for founders and small teams, so comments like this mean a lot.
Congrats on the launch! Email setup and debugging can be such a pain, especially when something breaks and it’s not clear what to fix. Love that you’re making this easier.
@mansuiki You’re absolutely right, email is one of those things that looks simple on the surface but gets painful fast when deliverability breaks and you’re left guessing what went wrong. That’s exactly the gap we’re trying to close: making the “invisible” issues visible and actionable instead of relying on trial and error.
@mansuiki Thanks! That's the exact gap. Most tools barely surface that something's wrong without telling you which layer broke or what specific record to fix, which is where most teams stall out for weeks. MailX hands you the fix.
The hardest part is often not fixing the issue, it’s finding where the issue actually lives. That’s what we want to make faster with mailX: clear diagnosis, then clear next steps.
I've spent the last 15 years in digital marketing, and a big chunk of that running email at scale, at one point sending over 1.5 million emails a day across more than 30 affiliate brands. When you operate at that volume, you learn one lesson fast: deliverability isn't a technical detail. It's the whole game.
Teams usually pour their energy into better copy, sharper targeting, more campaigns, more volume. All of that matters. But none of it counts if the email lands in spam, and the hardest part is that a deliverability problem rarely announces itself. It doesn't throw an error. It just shows up as silence: fewer replies, softer numbers, and no obvious reason why.
That's the problem we built MailX to solve, alongside my co-founders @bengeekly and @thamibenjelloun . We wanted to pull inbox placement out of the black box, help teams see what's actually happening earlier, fix what genuinely moves the needle, and stop guessing. Because sender reputation isn't an afterthought. It's infrastructure.
Excited to launch today and get into it with the PH community 🚀
ZeroHuman.
Congrats on the launch @manal_essalek1 !
Email deliverability is definitely a huge problem. Does MailX also give simple recommendations when something is wrong?
Mailwarm
@manal_essalek1 @byalexai Yes at mailX, we are focused on turning issues into actionable fixes rather than just showing raw data. So yes, the idea is to guide you with clear next steps when something is wrong, and give you the right tools to solve deliverability problems. :)
mailX by mailwarm
@byalexai thank you!
Yes, and that’s actually one of the most valuable parts of it. It doesn’t just flag issues, it also gives simple, actionable recommendations so you know what to fix without digging too deep.
Mailwarm
@byalexai Would love to see ZeroHuman and MailX interacting !
Mailwarm
@byalexai Exactly, like my colleagues said, we want to make deliverability more actionable, not just measurable
The goal is to surface simple recommendations when something looks off, instead of expecting users to decode raw technical signals themselves.
What’s been your deliverability headache recently?
Mailwarm
@manal_essalek1 @byalexai MailX website is built for humans to check by themselves and verify all protocols, for example here is the report for Zerohuman: https://themailx.com/report/a1d2d660-f0f8-46b9-b306-7443ba5223e4
You can check for free and we don't have any sign up wall.
Your website results is quite good, but you can make it even better.
The MCP is also open and Free, That's the step that gives you more recommendations and you can include it in any workflow you want.
Cosmic
Deliverability for AI-driven outbound is a genuinely new problem: the volume patterns and sending behavior are nothing like human senders, so the old warm-up playbooks don't quite fit. Smart to build the tooling specifically for agent-first workflows. What signals are you using to distinguish 'good' AI send patterns from spam-flagged ones?
Mailwarm
@tonyspiro That’s the challenge now. AI agents can send at a scale and consistency that doesn’t really look human anymore, so traditional deliverability patterns are changing fast to keep up. We look at signals like authentication health, reputation, sending velocity, engagement quality, bounce rates, and behavioral anomalies across providers. The hard part is that inbox providers keep evolving their own detection models too.
Cosmic
@naimz The behavioral anomaly detection angle is the one I'd bet on long term. Authentication health and reputation are table stakes, but the signal that matters is whether the engagement pattern looks like a human relationship or a broadcast. Replies, threading, response latency variance. The inbox providers are already modeling this, the question is whether senders can get ahead of it or are always reacting. Feels like there's a whole new category of infrastructure here just for AI-native outbound.
Mailwarm
@tonyspiro This is very close to how we think about it too. Authentication and DNS health are becoming the baseline, but behavioral trust signals are where things get really interesting in an AI-native world.
Inbox providers are clearly getting better at modeling whether interactions look like genuine human communication versus mechanically optimized outbound. I agree there’s probably an entirely new infrastructure layer emerging around agent-aware deliverability and reputation management.
Mailwarm
@tonyspiro AI outbound can scale bad sending behavior very fast. Today we check the foundation: auth, DNS, blacklist, setup.
Next layer is behavior: volume ramp, bounce risk, complaints, engagement, and content patterns.
Agents should check before they scale.
Mailwarm
@tonyspiro We focus on: proper authentication (SPF, DKIM, DMARC all aligned), domain reputation, blacklist status, and correct sending infrastructure config. A well-configured domain can send at agent-scale.
Mailwarm
@basheer_rjoub That’s exactly the kind of workflow mailX is for 🙌
When your inbox volume gets that high, even saving a few seconds per email adds up fast.
Mailwarm
@basheer_rjoub Thanks God, AI agents will save us from inbox anxiety!
Mailwarm
@basheer_rjoub That has always been our goal 😉
mailX by mailwarm
@basheer_rjoub Totally agree, this becomes a huge time saver, especially for business owners or anyone buried in emails. When you’re getting hundreds or even thousands a day, something like mailX can make a real difference.
Mailwarm
@basheer_rjoub Absolutely. Email-heavy teams feel the pain very fast. When you deal with hundreds or thousands of emails, even small deliverability issues create a lot of wasted time.
That’s exactly why we want mailX to make diagnosis faster and clearer.
i like the focus on explaining what is wrong instead of just showing technical metrics 👀 Most founders are not email infrastructure experts.
Mailwarm
@asheer_ahmad Exactly. Founders don’t need more raw metrics. They need to know what is broken, why it matters, and what to fix first.
Mailwarm
@asheer_ahmad Exactly! people can see SPF/DKIM/DMARC records or deliverability metrics, but translating that into what’s actually broken and what should I do next? is the hard part.
That’s the gap we’re trying to close with mailX :))
Mailwarm
@asheer_ahmad Got it right!!!
Mailwarm
@asheer_ahmad We want mailX to show the result and score, explain it, and give steps on how to fix your email deliverability
Fere AI
Mailwarm
@pranavprakash Thanks a bunch. Hey it's never too late to give a go :))
Mailwarm
@pranavprakash You can still benefit, your DMARC is set to none, and it would be beneficial to fix it: https://themailx.com/report/a1d343a2-b6d6-447c-8346-2105937dadf1
Mailwarm
@pranavprakash Thank you so much 🙏
That’s exactly why we built it. Email Deliverability is one of those problems you often discover too late. Really appreciate the support!
mailX by mailwarm
@pranavprakash Thank you !!
Mailwarm
@pranavprakash Really appreciate this, thank you 🙏
A lot of the product came from seeing how painful and confusing deliverability setup still is for founders and small teams, so comments like this mean a lot.
kuku
Congrats on the launch!
Email setup and debugging can be such a pain, especially when something breaks and it’s not clear what to fix. Love that you’re making this easier.
Mailwarm
@mansuiki Thank you! 🙏 That’s exactly the frustration we kept hearing from users.
Most of the time, the issue isn’t impossible to fix it’s hard to pin point what's actually wrong in the first place.
We wanted to make that process much clearer and less intimidating :))
Mailwarm
@mansuiki AI become so good at debugging, that it seemed obvious Agent should be the ones that fix all email protocols.
mailX by mailwarm
@mansuiki You’re absolutely right, email is one of those things that looks simple on the surface but gets painful fast when deliverability breaks and you’re left guessing what went wrong. That’s exactly the gap we’re trying to close: making the “invisible” issues visible and actionable instead of relying on trial and error.
Mailwarm
@mansuiki Thanks! That's the exact gap. Most tools barely surface that something's wrong without telling you which layer broke or what specific record to fix, which is where most teams stall out for weeks. MailX hands you the fix.
Mailwarm
@mansuiki Thank you 🙏
The hardest part is often not fixing the issue, it’s finding where the issue actually lives. That’s what we want to make faster with mailX: clear diagnosis, then clear next steps.
Mailwarm
Hi Product Hunt 👋
I've spent the last 15 years in digital marketing, and a big chunk of that running email at scale, at one point sending over 1.5 million emails a day across more than 30 affiliate brands. When you operate at that volume, you learn one lesson fast: deliverability isn't a technical detail. It's the whole game.
Teams usually pour their energy into better copy, sharper targeting, more campaigns, more volume. All of that matters. But none of it counts if the email lands in spam, and the hardest part is that a deliverability problem rarely announces itself. It doesn't throw an error. It just shows up as silence: fewer replies, softer numbers, and no obvious reason why.
That's the problem we built MailX to solve, alongside my co-founders @bengeekly and @thamibenjelloun . We wanted to pull inbox placement out of the black box, help teams see what's actually happening earlier, fix what genuinely moves the needle, and stop guessing. Because sender reputation isn't an afterthought. It's infrastructure.
Excited to launch today and get into it with the PH community 🚀