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.
Replies
Best
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.
@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.
@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
Report
@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.
Report
Email outreach is our core growth channel at Elvixs. One broken SPF record and your whole campaign is dead in spam silently. The diagnosis-first approach is exactly what was missing. Congrats on the launch 🚀
@rajanmishraaa That’s one of the scariest parts of deliverability things can break very quietly.
A single SPF or DMARC issue can tank an entire campaign while everything still seems normal from the sending side. That's a huge part of why we built mailX in the first place. And thank you I appreciate that :))
@rajanmishraaa Thanks! 'Dead in spam silently' is exactly the failure mode that kills campaigns for months while teams keep blaming the copy and rewriting subject lines. Glad the diagnosis-first framing lands.
@rajanmishraaa Oh woow, feel free to use Mailx and give us your feedback
Report
Good stuff. Few months back I faced the same issue where all my emails were landing into SPAM, and I was not even able to find the root cause. Well, it's sorted. But this thing will really help! Thanks.
@sabika_naqvi1 Thanks! that’s exactly the kind of situation that pushed us to build mailX.
The hardest part is often not fixing the issue itself but it's figuring out why everything is landing in spam in the first place lol Glad you managed to sort it out :))
How long ago was this btw?
Report
@naimz Trust me, that was actually difficult to understand what's even wrong. Then somehow our IT team managed to solve it. There was an unusual link in my email signature and that's why I was a direct target of this issue. But thanks to the team, they found the bug timely and sorted it out. I believe it was last year's Christmas era.
@sabika_naqvi1 See that’s what makes deliverability issues so frustrating at times lol the root cause can be something unexpectedly small, like a link in a signature and because everything else look “ok,” teams can spend a lot of time debugging in the wrong places before finally finding it.
Report
@naimz True, agree with this. I believe this product will help in saving time as well. Thanks.
@sabika_naqvi1 Exactly, that’s the painful part. When emails land in spam, you often don’t know if the issue is DNS, reputation, content, blacklist, or something else. Glad you sorted it, and that’s exactly the kind of root-cause discovery we want to make faster with mailX.
Report
@thamibenjelloun Sounds interesting. Yeah I'm glad to see this product. Congratulations on the launch to the whole team!
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.
@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 🫡
@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.
@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
@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.
Report
Congrats on shipping! 🚀
The "usable by AI agents" part stood out to me; most deliverability tools assume a human reading a dashboard. Are you exposing this as an MCP server / API that an outreach agent could call before every send, or is it more of a one-shot audit? Curious how you see agents using it in practice.
@natalia_zak Thank you!! and yes, the idea is much closer to an MCP/API workflow than a simple one shot audit.
We think agents should be able to check domain health, authentication, reputation signals, and deliverability risk continuously ideally before and during sending, not only after something breaks.
A big part of the vision is making deliverability understandable and actionable for agents, not just humans reading dashboards.
@natalia_zak Exactly. We expose it through both MCP and API. The first use case is: agent checks before sending or scaling, domain setup, auth, blacklists, risks, then says “safe to send” or “fix this first.” Today it’s mostly diagnostic. The direction is continuous checks inside outreach workflows, not just one-shot audits.
Report
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.
@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.
@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.
@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.
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.
Congratulations on the launch. Email deliverability still feels weirdly opaque for most founders. curious how much of the fixing flow agents can automate already?
@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.
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?
@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?
@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
Replies
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.
Email outreach is our core growth channel at Elvixs. One broken SPF record and your whole campaign is dead in spam silently. The diagnosis-first approach is exactly what was missing. Congrats on the launch 🚀
Mailwarm
@rajanmishraaa That’s one of the scariest parts of deliverability things can break very quietly.
A single SPF or DMARC issue can tank an entire campaign while everything still seems normal from the sending side. That's a huge part of why we built mailX in the first place. And thank you I appreciate that :))
mailX by mailwarm
@rajanmishraaa Everything can look fine on the surface, and then a single SPF issue quietly kills deliverability without any obvious signal.
That “diagnosis-first” angle is what makes it actually usable at scale, especially when email is your core growth channel like at Elvixs.
Appreciate it 🚀
Mailwarm
@rajanmishraaa Thanks! 'Dead in spam silently' is exactly the failure mode that kills campaigns for months while teams keep blaming the copy and rewriting subject lines. Glad the diagnosis-first framing lands.
Mailwarm
@rajanmishraaa Yes, many people do not know this. They think it's only about the copy Thank youuu
Mailwarm
@rajanmishraaa Oh woow, feel free to use Mailx and give us your feedback
Good stuff. Few months back I faced the same issue where all my emails were landing into SPAM, and I was not even able to find the root cause. Well, it's sorted. But this thing will really help! Thanks.
Mailwarm
@sabika_naqvi1 Thanks! that’s exactly the kind of situation that pushed us to build mailX.
The hardest part is often not fixing the issue itself but it's figuring out why everything is landing in spam in the first place lol Glad you managed to sort it out :))
How long ago was this btw?
@naimz Trust me, that was actually difficult to understand what's even wrong. Then somehow our IT team managed to solve it. There was an unusual link in my email signature and that's why I was a direct target of this issue. But thanks to the team, they found the bug timely and sorted it out.
I believe it was last year's Christmas era.
Mailwarm
@sabika_naqvi1 See that’s what makes deliverability issues so frustrating at times lol the root cause can be something unexpectedly small, like a link in a signature and because everything else look “ok,” teams can spend a lot of time debugging in the wrong places before finally finding it.
@naimz True, agree with this. I believe this product will help in saving time as well. Thanks.
Mailwarm
@sabika_naqvi1 Check and give us your feedback on how it helps you
@bengeekly Yes sure sure. Even happy to share it with others.
Mailwarm
@sabika_naqvi1 Exactly, that’s the painful part. When emails land in spam, you often don’t know if the issue is DNS, reputation, content, blacklist, or something else. Glad you sorted it, and that’s exactly the kind of root-cause discovery we want to make faster with mailX.
@thamibenjelloun Sounds interesting. Yeah I'm glad to see this product. Congratulations on the launch to the whole team!
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.
Congrats on shipping! 🚀
The "usable by AI agents" part stood out to me; most deliverability tools assume a human reading a dashboard. Are you exposing this as an MCP server / API that an outreach agent could call before every send, or is it more of a one-shot audit? Curious how you see agents using it in practice.
Mailwarm
@natalia_zak It's and MCP and API calling before every send is definitely overkill, honestly one check a day is enough!
Mailwarm
@natalia_zak Thank you!! and yes, the idea is much closer to an MCP/API workflow than a simple one shot audit.
We think agents should be able to check domain health, authentication, reputation signals, and deliverability risk continuously ideally before and during sending, not only after something breaks.
A big part of the vision is making deliverability understandable and actionable for agents, not just humans reading dashboards.
Mailwarm
@natalia_zak Exactly. We expose it through both MCP and API. The first use case is: agent checks before sending or scaling, domain setup, auth, blacklists, risks, then says “safe to send” or “fix this first.” Today it’s mostly diagnostic. The direction is continuous checks inside outreach workflows, not just one-shot audits.
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."
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.
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
我觉得很有趣的点是，越来越多的创业产品在做邮件自动化营销，会不会让我们的邮箱多了很多信息，导致这些信息后来又通过其他的方式直接进入了垃圾箱