Migma creates email campaigns before you ask. It understands your brand, audience and calendar, then uses its proprietary engine to build on-brand emails that follow best practices and render consistently across inboxes. Review, approve and send.
This is the 4th launch from Migma AI. View more
Migma AI
Launched this week
Migma creates full campaigns before you ask. It understands your goals and events, creates every email, personalizes and localizes it, and renders consistently across inboxes. It handles sending, preferences and compliance, then learns what drives revenue.
Free Options
Launch Team / Built With
Klaviyo
Canva
Fiverr – Services That Top
ChatGPT by OpenAI
Migma AI
Hi Product Hunt,
Over the last year, Liam and I have been obsessed with one idea:
Your email platform should understand what your business is trying to achieve, carry the work all the way to the inbox, then learn what works.
That is what we built Migma to do.
Give Migma your brand, audience and goal.
It plans the campaign.
Creates the complete sequence.
Makes the right versions for different audiences and languages.
Then sends it.
ChatGPT, Claude and other AI tools can create emails that look good in a browser, but break when they reach real inboxes. They don’t understand compatibility, accessibility or compliance in the way email requires.
Since our last launch, we learned that compatibility had to be the foundation.
React Email, MJML and other libraries were still failing to produce emails that looked consistent everywhere.
So we built Zinn, our own markup language.
It generates emails quickly and efficiently while keeping them compatible across email clients, even Outlook 2003.
We didn’t build it just to create more emails.
If you’re paying for a platform, the emails should be worth sending and built to convert.
That’s our mission, and why we watch every metric.
Migma personalizes and localizes each version. Your audience in Spain receives the email in Spanish. Customers in Canada can receive it in French or English based on their location and preferences.
Migma tracks which emails drive clicks, purchases and revenue, then uses those results to improve future campaigns.
Your first campaign should never be as good as your last.
Thanks to our partnership with Cloudflare, we’re also able to offer sending infrastructure you can trust.
Migma handles domain setup, warmup, compliance, unsubscribes and customer preferences.
You can work directly in Migma or from your AI agent, Slack or Telegram.
All of this is also available through our API for marketing and transactional email. We’re already partnering with other platforms to bring Zinn into their products.
Since our last launch, we’ve raised a six-figure pre-seed round and started growing from a team of two brothers into a bigger team.
Today, we’re offering Premium at 50% off for the first 200 customers forever.
You can create and send up to 200,000 emails per month for $49, and keep that price for as long as you stay subscribed.
We wouldn’t be here without your early validation, feedback and support.
Thank you,
Adam and Liam
Migma AI
@adam_lab Amazing !!
I absolutely love it. So excited to be part of this journey.
Migma has just revolutionized email marketing.
Migma AI
@adam_lab This is really huge!! Been watching Adam and Liam build this for months and the Zinn markup piece alone is a game changer, finally an email tool that doesn't break the second it hits Outlook. Compatibility + personalization + actual localization in one place? That's the SaaS email marketing has been missing.
Migma AI
@adam_lab @stanley_lin3 🔥🔥
Migma AI
@adam_lab The future of email marketing is actually here!! Seeing it on PH today feels surreal. Thank you all so much for the early support... genuinely means everything to us right now.
@adam_lab From the buyer seat, the scary part of handing email to an agent isn't the copy, it's send judgment: who gets suppressed, when to slow down after a spam spike, when NOT to send. Does the agent make those calls itself, or does a human still hold the throttle? That line is usually where automated email either saves you or burns a list.
Migma AI
@artem_fedorovich Great question, the agent learns from your sending patterns and draft the email designs based on the your calendar events. All you have to do is approve and send. Those you ignore to schedule, the agent will learn from.
Really cool product - congratulation on the launch. In my experience, the hard part in email isn't just the generation, it's the render matrix. Outlook's Word engine, Gmail clipping at 102KB, dark mode inverting your PNGs. Curious whether the "proprietary engine" means real client testing or just conservative table markup.
Migma AI
@aidan_codefox That’s exactly what our Zinn engine is built to solve.
It goes beyond conservative table markup. It handles tricky cases like dark mode color inversion, especially in Gmail on iOS and Android, and you can also run real tests across real devices in Migma before sending to make sure everything renders correctly.
Really appreciate you bringing this up, the render matrix is one of the hardest parts of email, and it’s something we’ve spent a lot of time on.
Give it a try and put it through its paces. I’d genuinely love to hear what you think 🙌
Migma AI
@aidan_codefox We support Gmail clipping too. Migma keeps an eye on the 102KB limit and warns you if the email is getting too large.
Migma feels strongest where most AI email tools fall apart: not the copy generation, but the render and compliance layer. Zinn is the interesting bet here because email HTML is still weirdly unforgiving.
Curious how much testing happens before send. Is Migma validating against real inbox/client previews, or mainly compiling into conservative markup that avoids the usual Outlook, Gmail, dark mode, and clipping issues?
Migma AI
@aditya_harish_2002 You’re spot on, email HTML is still surprisingly unforgiving.
Zinn handles the compilation side, but Migma also checks the campaign before send: real inbox and device previews, dark mode behavior, Outlook and Gmail quirks, clipping risk, broken links, and compliance essentials like unsubscribe and sender details.
So it’s not just “generate and hope.” You can review the actual output, catch issues early, and only send once everything looks right.
Would love for you to try it with one of your tougher templates and tell us where it breaks 🙌
@liam007 The pre-send checks are the interesting part for me. Email HTML is one of those things where the template can look fine locally and still break in Outlook, dark mode, or clipping.
I’ll try it with a rougher template and see where it cracks.
The line that stands out to me is that your first campaign should never be as good as your last. That learning loop is the real moat here, even more than the rendering work everyone is asking about.
My angle is the awkward one for it: I run email to a small, high-value B2B list in healthcare, a few hundred serious buyers rather than a consumer list. There a tone-deaf automated send costs a relationship I cannot re-earn, and the revenue signal comes back slow and sparse.
So, Adam, does the learning loop need consumer volume to work, or can it improve on thin data, where the win is one right email a month rather than a tuned high-frequency cadence?
Migma AI
@clemente_lopez1 No. Volume makes the loop faster, but it is not required.
For a small, high-value list, the useful signals start before opens or purchases: what you approve, edit, reject, who you choose to send to, and when you decide not to send.
Migma should become more conservative in that setting, not more autonomous. It prepares the campaign, learns your judgment, and you keep approval before anything goes out.
The goal is not more sends.
It is one email a month that sounds like you, lands at the right moment, and does not burn a relationship.
@adam_lab treating my edits and my skips as the training signal is the part that lands, because on a list this small those are the only signals I generate in a month anyway. Opens and clicks are too sparse to learn from.
The one that would decide it for me is the skip. If Migma reads a no-send as a real signal and not as missing data, it is learning my judgment instead of just my approvals. Does a repeated skip on a certain kind of prospect actually pull the model back, or does it only learn from what I let through?
The Zinn part is what I'd want to know more about. Every time we've asked a model to emit a bespoke format it drifts back to whatever it saw most in training, so ours kept quietly producing plain HTML where our own schema was required, and prompting never fixed it, a constrained schema did. Is the model writing Zinn directly, or does it emit a structured plan that a deterministic compiler turns into Zinn?
Migma AI
@dipankar_sarkar Great question! The model writes Zinn directly, not plain HTML. That's a big part of why generation is so fast and stays consistent across clients.
Migma AI
@dipankar_sarkar It took us years of engineering to reach this point.
Direct emission is the ambitious version of this, so I'm curious what catches a bad token. When we tried it we ended up with a validate-and-retry loop, and roughly 1 in 12 generations needed a second pass, which is fine for a background job and painful when someone is sitting there waiting. Are you constraining the decode with a grammar, or letting it write freely and repairing after?
Migma AI
@dipankar_sarkar The model writes Zinn directly instead of HTML, that's what keeps it fast and consistent across clients.
Come try it see how its super fast
"Better with every send" implies real learning loop, not just A/B testing dressed up — curious what's actually feeding that improvement. Is it optimizing on opens/clicks per send, or does it get smarter about audience segmentation and timing over a longer horizon? That's usually the difference between a marginal optimizer and something that meaningfully changes strategy over time.
Migma AI
@abhineetarora Good distinction to draw.
Each send adjusts things right away based on opens and clicks. Over time it also gets better at segmenting your audience and picking the right timing, so the strategy itself improves, not just one campaign at a time.
Come run a few cycles and watch it move.