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.
AskCodi
Congratulations on the launch. Email deliverability still feels weirdly opaque for most founders. curious how much of the fixing flow agents can automate already?
Mailwarm
@shreyans_assistiv Thank you 🙏 Today, agents can already diagnose and explain what needs to be fixed through MCP. Full auto-fix is the next step, but we want it to be approval-based. DNS and sending settings are too sensitive to let agents change blindly.
So the flow is: detect => suggest => prepare fix => human validates.
Mailwarm
@shreyans_assistiv All the boring protocols, like SPF,DKIM,DMARK, BIMI, SMTP, IMAP... The rest is what still can't be checked by an agent.
Socrati
Congrats on the launch! Have you implemented any cross-language deliverability analysis? I've noticed some of my emails land in spam in certain languages, while essentially the same message in another language reaches the inbox. Is language-specific spam classification something you've observed with providers like Gmail?
Mailwarm
@davidsolsonap Yes, we’ve seen that. Language can affect deliverability through wording, structure, links, and engagement patterns, but today mailX is mainly focused on technical diagnosis. Which languages did you notice the biggest difference with?
Mailwarm
@davidsolsonap Because spam filters work mainly with detecting spam words, they threat different languages just as different text, so if you translate to another language, check the text for spam words again as a new text
Looks very interesting. When it comes to deliverability, the actual diagnose to find issues takes a lot of time.
Mailwarm
@roman3070 Totally. Deliverability debugging is often more investigation than configuration lol The actual fix can sometimes take 5 minutes but figuring out where the issue is either SPF/DKIM etc or sending behavior is what takes the majority of the time.
Mailwarm
@roman3070 Exactly the problem we built MailX for. SPF, DKIM, DMARC, blacklist, MX, all in one place, instead of jumping between four different tools to figure out which layer broke. Diagnosis was the slow part. We collapsed it.
mailX by mailwarm
@roman3070 You can also check your SMTP and IMAP settings to identify where the configuration is breaking and fix it.
Mailwarm
@roman3070 Exactly. Diagnosis is usually the slowest part. mailX helps you find where the issue lives and what to fix first.
Mailwarm
@roman3070 Understanding DKIM, SPF, DMARC is something hopefully humans should not care about anymore
Unabyss
Tbh - it covers just basics (still a lot for people who start with email deliverability!). The reasons for SPAM (both in cold email and email marketing) often lies in copy, in reputation, even specific phrase that didn't harm you in the past can start dragging you into the SPAM folder.
Do you have plan on adding that to MailX, too?
Mailwarm
@philip_kubinski We built MailX as a toolkit to be able to add every possible tool! https://themailx.com/?tools check this page you will see what we have right now, they are also all MCP ready. Tell us what you would like to see next and I'm sure @karimbenkeroum can add it next week 🫡
Mailwarm
@philip_kubinski Today, mailX starts with the foundation: authentication, DNS, blacklists, and infrastructure. That’s where many teams already have hidden issues.
But you’re right, deliverability is broader: reputation, content, sending behavior, and even specific phrases can matter.
Reputation can be improved with Mailwarm, content can already be checked with our free spam content checker, and sending behavior is something our MailAdept team can help manage by connecting with your existing tools.
That’s definitely where we want to go next with mailX: from technical diagnosis to full deliverability diagnosis.
Unabyss
@thamibenjelloun that's great! you see, I think the problem with such software is that it's one off. if you actively monitor dvb and then improve it - that's the win
Mailwarm
@philip_kubinski Exactly. One-off diagnosis is useful, but the real win is continuous monitoring. That’s why we see mailX as the diagnostic layer, and MailAdept as the ongoing layer: agents + experts monitoring deliverability, detecting issues early, and improving it over time.
Deliverability is the unsexy problem that kills otherwise good email campaigns. Does it work for cold outreach or mostly transactional/marketing emails? Curious how it handles newer domains with no sending history.
Mailwarm
@imad_elkhafi It works for all three: cold outreach, marketing, and transactional emails.
For new domains, mailX helps you check the foundation first: DNS, authentication, blacklist risk, setup. But no tool makes a fresh domain instantly trusted. You still need gradual sending, clean lists, and consistent positive behavior.
Mailwarm
@imad_elkhafi It works for all three: cold outreach, transactional, and marketing. The infrastructure checks are the same regardless. For new domains it will give you step by step what to handle, then you should still warmup your domain. You can use Mailwarm for that
@bengeekly The honest answer about new domains is appreciated — no tool skips the warmup process, and anyone claiming otherwise is overselling. Step by step guidance plus Mailwarm for the actual warmup is a solid combo.
When an AI agent is sending at high volume through an API, does mailX treat deliverability issues differently than it would for a human sender — like different thresholds or different recommended fixes?
Mailwarm
@hirogure Yes, the risk profile is different. An AI agent can scale bad behavior much faster than a human sender, so the recommendations should be stricter: slower ramp, stronger checks, cleaner lists, more monitoring. Same deliverability fundamentals, but lower tolerance for risk before scaling.
@thamibenjelloun Makes sense — "same fundamentals, lower tolerance" is a clean way to frame it. Do you find the ramp period needs to be longer for agents, or is it more about the monitoring frequency?
Mailwarm
@hirogure The rules don't change SPF, DKIM, DMARC, the difference with volume can be domain reputation. that people should be careful about
@bengeekly Got it — so the auth setup is the same, but domain rep becomes the variable that breaks at scale. Is there a sending volume per day you'd recommend staying under during the initial warmup phase?
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 🚀