A few days ago, we launched mailX by mailwarm (YC S20) on Product Hunt. We finished #2 Product of the Day.
And today, we re launching @Mailwarm2.0.
The obvious value of Product Hunt is visibility: traffic, followers, backlinks, social proof, maybe customers.
But honestly, the part I m starting to value even more is the GTM learning.
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
TipTap
Love that it's MCP ready. What does the AI agent integration look like in practice? Can it auto-fix issues or just flag them?
Mailwarm
@dan_tiptap Our MCP will Flag problems and give back recommendation to you agent for fixing. If your agent have access to his DNS he probably can fix it. But I would recommend to double check as DNS is a sensitive topic.
Mailwarm
@dan_tiptap Our MCP will Flag problems and give back recommendation to you agent for fixing. If your agent have access to his DNS he probably can fix it. But I would recommend to double check as DNS is a sensitive topic.
Mailwarm
@dan_tiptap Today it flags and explains issues through MCP. Auto-fix is the next step, but with human approval. We don’t want agents changing DNS blindly.
Goal: agent detects, prepares the fix, human validates.
Mailwarm
@dan_tiptap Thank you! Right now it’s more focused on diagnosis, monitoring, and structured remediation guidance rather than blindly auto-fixing things.
The goal is for agents to understand what’s wrong, why it matters, and what actions to take next while still keeping humans in control for sensitive configuration changes.
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.
Founders usually don’t have time to debug SPF, DKIM, DMARC, reputation, and spam placement. Does mailX make all that easier to understand?
Mailwarm
@nitiksh_gaba It's probably easier to understand because you will be chatting with your agent, so if you don't understand anything, you can just ask it and the AI will answer
Mailwarm
@nitiksh_gaba Yes, that’s the point. Founders don’t need more raw technical data. They need to know what’s broken, why it matters, and what to fix first. mailX turns the technical layer into clear answers and concrete next steps.
Mailwarm
@nitiksh_gaba Yes, that’s the point. Founders don’t need more raw technical data. They need to know what’s broken, why it matters, and what to fix first. mailX turns the technical layer into clear answers and concrete next steps.
Mailwarm
@nitiksh_gaba That’s exactly the goal. Most founders don’t want to spend hours digging through DNS records or trying to understand why emails land in spam.
We try to surface the important issues clearly, explain what’s wrong in plain English, and make the audit process much faster.
Nice. Do you do it per email client ? I noticed that Gmail had become very annoying lately
Mailwarm
@yurimhln That's correct! we pay close attention to differences between email clients, especially Gmail since they’ve become much stricter lately. We optimize for rendering and deliverability across major clients (Gmail, Outlook, Apple Mail, etc.) because each behaves differently :)
Mailwarm
@yurimhln Gmail is evolving their way of managing email screening, this will impact everyone email KPIs, like open rate.
ProdShort
@othman_katim Interesting
mailX by mailwarm
@yurimhln @othman_katim Exactly, Gmail is evolving rapidly! Changing algorithms are also a huge deal so having an updated team is always useful ✌🏼
Mailwarm
@yurimhln Yes. Deliverability is not the same across providers.
Gmail, Outlook, Yahoo, Microsoft 365… each one has its own rules and signals. Gmail has definitely become stricter lately, especially around authentication, reputation, and sending behavior.
That’s why we check issues at the domain/setup level and are moving more and more toward provider-specific diagnostics.
Mailwarm
@yurimhln Mailwarm Yes
Congrats on the launch!
Quick question: what's the use case you're seeing agents actually use this for? Cold-email warmup loops checking their own setup, or more "audit a prospect's domain before you reach out" workflows? Curious where the early traction is coming from.
Mailwarm
@geravant Thank you! Right now we’re mostly seeing interest around agents monitoring and protecting their own sending infrastructure checking authentication, reputation, deliverability health, and catching issues before campaigns get damaged.
But the “audit a prospect’s domain” workflow is also really interesting and something we think could become much bigger over time.
Mailwarm
@geravant Main use case: check before sending or scaling.
The agent audits your own domain, auth, blacklists, and setup, then says: safe to send, or fix this first. Prospect audits are interesting too, but protecting your own sending infrastructure is the priority.
Mailwarm
@geravant Thank you! Right now we’re seeing more traction around internal audits and ongoing monitoring for outbound setups, especially for teams managing multiple domains.
But the “audit before outreach” workflow is starting to show up too, particularly from agencies and lead gen teams checking deliverability posture before sending campaigns.
Mailwarm
@geravant Mostly "audit my own deliverability setup with mailX before sending."
Mailwarm
@thamibenjelloun @amraniyasser @basmainparis MailX and Mailwarm are complementary. MailX is Free, with no sign up and help you set the technical part, we made it AI agent ready so it's easy for anyone to setup. Mailwarm is to warm up your inbox after, so your emails actually land in inbox and not spam. So you can see MailX as the first step (setup right your SPF, DKIM, DMARC...) and Mailwarm as the second step (build the reputation of your inbox so it's trusted). Both tools work for everyone, beginner or expert, just different jobs 🙏
Mailwarm
@basmainparis Thank you! They’re definitely more complementary than overlapping.
Mailwarm focuses on email warmup and sender reputation, while mailX is more about diagnosing, understanding, and fixing deliverability issues across the whole setup.
There’s also a usability difference: mailX is designed to make deliverability much more accessible to non-experts and AI agents, while still being useful for more advanced senders too.
Mailwarm
@bengeekly @amraniyasser @basmainparis They are complementary.
mailX helps you diagnose what’s wrong and what to fix.
Mailwarm helps you build sender reputation and improve inbox placement over time.
Simple way to see it: mailX tells you the problem, Mailwarm helps you improve the reputation layer.