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.
@dawid_baranowski Appreciate it 🙌 That’s exactly one of the gaps we wanted to solve. A lot of these checks still require jumping between multiple tools and manual debugging steps.
Would really love to hear your feedback once you try it especially from someone already doing this stuff manually :)
@dawid_baranowski Love this. The raccoon copy is great. Your founders' entire fundraise depends on those emails landing in a VC inbox instead of the promotions tab, and a silent spam send is worse than a no because there's nothing for the founder to act on. Would love your feedback once you spin it up.
@othman_katim Exactly my thoughts. Causo sends emails from users' real emails, so adding a deliverability layer on top of this will be a big win. Look forward to integrating :)
Manual warmups and MX checks are exactly the kind of thing that shouldn’t stay manual for long. Curious to know how you have been doing it, care to share?
This feels relevant for founders doing outbound. A lot of early teams depend on email but don’t really understand deliverability. Is it useful even for low sending volume?
@artstavenka1 Definitely! In some ways, low-volume founders are even more sensitive to deliverability issues because every email matters.
If you’re sending founder outreach, partnerships, recruiting emails, or early sales conversations, losing even a handful of emails to spam can have a real impact.
@artstavenka1 Yes, definitely. Low volume is actually the best moment to catch issues before they become expensive. If your setup, authentication, or reputation is weak, scaling only makes the problem bigger.
Before mailX, I spent 8 years in customer-facing roles sending endless follow-up emails. I even worked at a CRM SaaS where I blindly copy-pasted DNS records for users without a clue how they worked. Whenever an email vanished, my only troubleshooting advice was: "Uh, can you check your spam folder?"
Joining this team pulled back the curtain. I learned that hitting "send" triggers a massive technical engine, and when deliverability drops, the culprit is usually hidden deep inside it, like misconfigured DNS (SPF, DKIM, DMARC) or SMTP issues. For most teams, diagnosing this feels like reading ancient Greek.
That’s exactly why we built TheMailX. We wanted to strip away the guesswork for folks who just want their emails to land in the inbox without needing a computer science degree.
With TheMailX, you can:
Analyze your domain instantly: Pinpoint exactly where the delivery leak is happening in your email engine.
Generate what's missing: Get the exact records you need to fix the issue on the spot, no tedious Googling required.
Our goal is to make email deliverability easy to understand and even easier to fix. The team and I are live today, ready to answer your questions and hear how you’re handling deliverability. Let’s chat! 🚀
Love this perspective @manal_essalek1 . This is exactly why we built mailX: email deliverability should not feel like a black box reserved for technical people. Most teams just want to know what is broken and what to fix.
Proud to see the team turning years of customer pain into something simple, clear, and useful 🚀
When emails land in spam, the visible problem is simple: people don’t receive them. But the real work starts after that. You need to understand why it happened. Is it the domain setup? The sending behavior? The content? The reputation? Something else?
I’ve seen teams waste a lot of time trying random fixes because they don’t know what to prioritize first.
That’s the gap we wanted to close with mailX: help teams understand what is hurting their deliverability and what they should fix. Email can still be one of the strongest growth channels, but only if it actually reaches the inbox ;)
Many people think email marketing is hard, and I don’t blame them, because when you constantly send campaigns and replies drop or your open rates change, you would also have these same thoughts.
That’s why I really like the approach behind mailX: make the problem understandable first, then give clear steps to fix that problem.
Whether you’re a founder, sales team, marketer, or even building an AI agent that sends emails, the goal is the same, stop guessing and know what to improve to better deliverability.
I am excited to be part of this launch and to hear how people are currently handling deliverability.
Report
the "people see the data but dont know how to fix it" thing is painfully accurate tbh. been running cold email across a few warmed domains and half the battle is just figuring out where the problem even lives (client, workspace, auth, reputation).
btw does the mcp let an agent monitor deliverability continuously across multiple sending domains, or is it point-in-time per domain for now?
@saad_el_gueddari That’s exactly the problem we kept seeing 😅 Once you manage multiple warmed domains, half the battle is just figuring out where the issue actually comes from.
And yes the MCP can monitor deliverability continuously across multiple sending domains. The goal for us is to help agents (and humans) spot issues early instead of debugging after performance drops.
@saad_el_gueddari You nailed the diagnostic problem. Auth, reputation, workspace, and content all fail differently, and you can't fix what you can't locate.
On the MCP: today, it's point-in-time per domain. You can run at the frequency you would like to. Continuous monitoring and enrichment by external data from your email platform is on our radar. So many things are coming!
@saad_el_gueddari Exactly, finding where the problem lives is usually half the work.
Today, MCP is point-in-time per domain, but an agent can loop through multiple sending domains and run checks. Continuous monitoring is the next layer. That’s where we’re going with mailX + MailAdept.
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 🚀
Report
Email is one of the most effective and frustrating marketing channels for the products. But if you are on Google Workspace, doesn't it handle this process?
@vivekn4u Google Workspace definitely helps, but it doesn’t fully solve deliverability automatically.
You still have DNS/authentication configuration, domain reputation, sending behavior, spam filtering, forwarding setups, third-party tools, etc. And when something breaks, the debugging process can get messy
@vivekn4u Common misconception. Workspace gets your email out the door. Where it lands is a different problem.
A few things Workspace doesn't do for you. SPF and DMARC have to be configured in your DNS. DKIM needs to be enabled in admin and the matching key published in DNS, otherwise your sending domain isn't even signed by you.
Sending reputation is built over time based on engagement, and Workspace doesn't manage that for you. Cold outbound to people who didn't ask for it actively hurts that reputation, regardless of who hosts the inbox. And there's no visibility from inside Workspace into whether your emails land in primary, promotions, or spam.
That last one is where most teams find out their cold campaigns were quietly going to spam for months.
Report
@othman_katim Thank you for the detailed explanation.
@vivekn4u If you are using Gmail.com Google is handling everything. If you are using your own domain with Google Workspace, Google let you manage your DNS setting, while giving you general recommendation. In this case make sure to ask your AI agent with MailX to double check it
@vivekn4u Google Workspace gives you the sending infrastructure, but it doesn’t guarantee inbox placement. You still need clean authentication, reputation, sending behavior, and monitoring.
The line about an agent landing in spam being worse than not sending really stuck with me. Same thing is starting to happen with AI search. When ChatGPT or Perplexity recommends a competitor instead of you, most brands have no idea it even happened. The agent acted, the user trusted it, the brand never saw it. Feels like the same invisible plumbing problem, one layer up.
Are you seeing teams ask for this kind of visibility into what their agents are actually doing?
@francesco2689 This is an interesting parallel. We’re starting to see more conversations around visibility, trust, and observability for agent actions especially as agents become more autonomous. Once agents are acting on behalf of users, people want to understand the what and the why and whether the outcome was actually successful.
Same failure mode you described: the agent acted, the user trusted, the brand never saw. Visible to one side, invisible to the other.
Yes, teams ask for it, but framed as inbox placement so far. The agent-recommendation version isn't on most radars yet. It will be the moment founders realize their AI citation rate can drop silently the same way inbox placement always did.
@francesco2689 Yeah, this is exactly the direction things are heading.
There’s a growing gap between “what the system did” and “what the brand knows happened.” With email it’s spam filters and deliverability black boxes. With AI agents, it’s recommendations, tool calls, and decisions happening with zero audit trail for the brand. We’re starting to see teams ask for that visibility, not just logs, but explanations of outcomes: why something was recommended, what alternatives were considered, and when a competitor gets surfaced instead.
@francesco2689 The real issue is visibility. If agents start making growth decisions, sending emails, choosing sources, recommending vendors, we need to understand the signals behind those decisions. Otherwise companies will lose pipeline without even knowing where it leaked.
@francesco2689 Exactly. The real problem is visibility. If agents start sending, recommending, ranking, or choosing vendors, teams need to understand the signals behind those decisions.
Otherwise you lose pipeline silently, whether it’s email deliverability or AI search visibility.
That’s why we think diagnostics will become a core layer for AI workflows.
Replies
Causo
Oh this is cool - been doing warmups and mx checks manually. Great to see a product that's agent usable. Will give it a spin!
Mailwarm
@dawid_baranowski Appreciate it 🙌 That’s exactly one of the gaps we wanted to solve. A lot of these checks still require jumping between multiple tools and manual debugging steps.
Would really love to hear your feedback once you try it especially from someone already doing this stuff manually :)
Mailwarm
@dawid_baranowski Would be nice to have your feedback after you test it !
Mailwarm
@dawid_baranowski Love this. The raccoon copy is great. Your founders' entire fundraise depends on those emails landing in a VC inbox instead of the promotions tab, and a silent spam send is worse than a no because there's nothing for the founder to act on. Would love your feedback once you spin it up.
Causo
@othman_katim Exactly my thoughts. Causo sends emails from users' real emails, so adding a deliverability layer on top of this will be a big win. Look forward to integrating :)
mailX by mailwarm
@dawid_baranowski Love that 🙌
Manual warmups and MX checks are exactly the kind of thing that shouldn’t stay manual for long. Curious to know how you have been doing it, care to share?
Mailwarm
@dawid_baranowski If you are doing it for others too, you will love MailX. Because you can ask anyone to generate a report and send it to you. It should look like this for @Causo
https://themailx.com/report/a1d307c4-a450-423c-853b-d9bb877d4cca
ExploreYC
🚀
Mailwarm
@konstantimb exactly that :))
Mailwarm
@konstantimb To the Moon!
Mailwarm
@konstantimb THANK YOUUUUUU
mailX by mailwarm
@konstantimb 🔥
This feels relevant for founders doing outbound. A lot of early teams depend on email but don’t really understand deliverability. Is it useful even for low sending volume?
Mailwarm
@artstavenka1 Of course, actually the DNS protocols are free to setup, and highly recommended to everyone by Gmail, Microsoft and all Email providers
Mailwarm
@artstavenka1 Definitely! In some ways, low-volume founders are even more sensitive to deliverability issues because every email matters.
If you’re sending founder outreach, partnerships, recruiting emails, or early sales conversations, losing even a handful of emails to spam can have a real impact.
Mailwarm
@artstavenka1 Yes, definitely. Low volume is actually the best moment to catch issues before they become expensive. If your setup, authentication, or reputation is weak, scaling only makes the problem bigger.
mailX by mailwarm
Hey Product Hunt community 👋
Before mailX, I spent 8 years in customer-facing roles sending endless follow-up emails. I even worked at a CRM SaaS where I blindly copy-pasted DNS records for users without a clue how they worked. Whenever an email vanished, my only troubleshooting advice was: "Uh, can you check your spam folder?"
Joining this team pulled back the curtain. I learned that hitting "send" triggers a massive technical engine, and when deliverability drops, the culprit is usually hidden deep inside it, like misconfigured DNS (SPF, DKIM, DMARC) or SMTP issues. For most teams, diagnosing this feels like reading ancient Greek.
That’s exactly why we built TheMailX. We wanted to strip away the guesswork for folks who just want their emails to land in the inbox without needing a computer science degree.
With TheMailX, you can:
Analyze your domain instantly: Pinpoint exactly where the delivery leak is happening in your email engine.
Generate what's missing: Get the exact records you need to fix the issue on the spot, no tedious Googling required.
Our goal is to make email deliverability easy to understand and even easier to fix. The team and I are live today, ready to answer your questions and hear how you’re handling deliverability. Let’s chat! 🚀
Mailwarm
Love this perspective @manal_essalek1 . This is exactly why we built mailX: email deliverability should not feel like a black box reserved for technical people. Most teams just want to know what is broken and what to fix.
Proud to see the team turning years of customer pain into something simple, clear, and useful 🚀
Mailwarm
Hi Product Hunt community
When emails land in spam, the visible problem is simple: people don’t receive them. But the real work starts after that. You need to understand why it happened. Is it the domain setup? The sending behavior? The content? The reputation? Something else?
I’ve seen teams waste a lot of time trying random fixes because they don’t know what to prioritize first.
That’s the gap we wanted to close with mailX: help teams understand what is hurting their deliverability and what they should fix. Email can still be one of the strongest growth channels, but only if it actually reaches the inbox ;)
Mailwarm
Hi everyone 😁
Many people think email marketing is hard, and I don’t blame them, because when you constantly send campaigns and replies drop or your open rates change, you would also have these same thoughts.
That’s why I really like the approach behind mailX: make the problem understandable first, then give clear steps to fix that problem.
Whether you’re a founder, sales team, marketer, or even building an AI agent that sends emails, the goal is the same, stop guessing and know what to improve to better deliverability.
I am excited to be part of this launch and to hear how people are currently handling deliverability.
the "people see the data but dont know how to fix it" thing is painfully accurate tbh. been running cold email across a few warmed domains and half the battle is just figuring out where the problem even lives (client, workspace, auth, reputation).
btw does the mcp let an agent monitor deliverability continuously across multiple sending domains, or is it point-in-time per domain for now?
congrats on the launch !!
Mailwarm
@saad_el_gueddari That’s exactly the problem we kept seeing 😅 Once you manage multiple warmed domains, half the battle is just figuring out where the issue actually comes from.
And yes the MCP can monitor deliverability continuously across multiple sending domains. The goal for us is to help agents (and humans) spot issues early instead of debugging after performance drops.
and Thanks a bunch :))
Mailwarm
@saad_el_gueddari You nailed the diagnostic problem. Auth, reputation, workspace, and content all fail differently, and you can't fix what you can't locate.
On the MCP: today, it's point-in-time per domain. You can run at the frequency you would like to. Continuous monitoring and enrichment by external data from your email platform is on our radar. So many things are coming!
Mailwarm
@saad_el_gueddari Exactly, finding where the problem lives is usually half the work.
Today, MCP is point-in-time per domain, but an agent can loop through multiple sending domains and run checks. Continuous monitoring is the next layer. That’s where we’re going with mailX + MailAdept.
Mailwarm
@saad_el_gueddari Right now it's point-in-time per domain. Continuous monitoring across multiple sending domains is what we're working toward
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 🚀
Email is one of the most effective and frustrating marketing channels for the products. But if you are on Google Workspace, doesn't it handle this process?
Mailwarm
@vivekn4u Google Workspace definitely helps, but it doesn’t fully solve deliverability automatically.
You still have DNS/authentication configuration, domain reputation, sending behavior, spam filtering, forwarding setups, third-party tools, etc. And when something breaks, the debugging process can get messy
@naimz so its somthing like manual vs automation?
Mailwarm
@vivekn4u Common misconception. Workspace gets your email out the door. Where it lands is a different problem.
A few things Workspace doesn't do for you. SPF and DMARC have to be configured in your DNS. DKIM needs to be enabled in admin and the matching key published in DNS, otherwise your sending domain isn't even signed by you.
Sending reputation is built over time based on engagement, and Workspace doesn't manage that for you. Cold outbound to people who didn't ask for it actively hurts that reputation, regardless of who hosts the inbox. And there's no visibility from inside Workspace into whether your emails land in primary, promotions, or spam.
That last one is where most teams find out their cold campaigns were quietly going to spam for months.
@othman_katim Thank you for the detailed explanation.
Mailwarm
@vivekn4u If you are using Gmail.com Google is handling everything. If you are using your own domain with Google Workspace, Google let you manage your DNS setting, while giving you general recommendation. In this case make sure to ask your AI agent with MailX to double check it
@bengeekly, understood.
Mailwarm
@vivekn4u Google Workspace gives you the sending infrastructure, but it doesn’t guarantee inbox placement. You still need clean authentication, reputation, sending behavior, and monitoring.
@thamibenjelloun Understandable; need to look deeper into this.
VisibAI
Congrats on the 🚀
The line about an agent landing in spam being worse than not sending really stuck with me. Same thing is starting to happen with AI search. When ChatGPT or Perplexity recommends a competitor instead of you, most brands have no idea it even happened. The agent acted, the user trusted it, the brand never saw it. Feels like the same invisible plumbing problem, one layer up.
Are you seeing teams ask for this kind of visibility into what their agents are actually doing?
Mailwarm
@francesco2689 This is an interesting parallel. We’re starting to see more conversations around visibility, trust, and observability for agent actions especially as agents become more autonomous. Once agents are acting on behalf of users, people want to understand the what and the why and whether the outcome was actually successful.
Mailwarm
@francesco2689 Thanks! Glad it landed.
Same failure mode you described: the agent acted, the user trusted, the brand never saw. Visible to one side, invisible to the other.
Yes, teams ask for it, but framed as inbox placement so far. The agent-recommendation version isn't on most radars yet. It will be the moment founders realize their AI citation rate can drop silently the same way inbox placement always did.
What are you building?
mailX by mailwarm
@francesco2689 Yeah, this is exactly the direction things are heading.
There’s a growing gap between “what the system did” and “what the brand knows happened.” With email it’s spam filters and deliverability black boxes. With AI agents, it’s recommendations, tool calls, and decisions happening with zero audit trail for the brand. We’re starting to see teams ask for that visibility, not just logs, but explanations of outcomes: why something was recommended, what alternatives were considered, and when a competitor gets surfaced instead.
Mailwarm
@francesco2689 The real issue is visibility. If agents start making growth decisions, sending emails, choosing sources, recommending vendors, we need to understand the signals behind those decisions. Otherwise companies will lose pipeline without even knowing where it leaked.
Mailwarm
@francesco2689 Exactly. The real problem is visibility. If agents start sending, recommending, ranking, or choosing vendors, teams need to understand the signals behind those decisions.
Otherwise you lose pipeline silently, whether it’s email deliverability or AI search visibility.
That’s why we think diagnostics will become a core layer for AI workflows.