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Migma AI

AI runs your email marketing. Better with every send.

Email
Analytics
Marketing
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Hunted byChris MessinaChris Messina

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.

Top comment

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

Comment highlights

email that improves every send is the dream 📩 congrats!! does it learn per brand?

Hello,

Congrats for the launch. 🎉

Since Zinn is a proprietary markup language, how do you ensure LLMs consistently generate valid Zinn instead of drifting toward standard HTML as campaigns become more complex?

"Better with every send" — this is the right framing. We run automated lifecycle emails and the hardest part isn't the first email, it's knowing when the 4th or 5th touchpoint actually moved someone vs annoyed them. Does Migma track downstream conversion signals (not just opens/clicks) to close that loop?

Curious how Migma AI handles the analytics side mentioned in the topic tags. Is the focus mostly on generating and launching email campaigns, or does it also help read performance after the send and suggest the next campaign? Email marketing gets much more useful when creation and learning from results sit close together.

the localization piece is what I'd poke at - Spain gets Spanish, Canada gets French or English, but does the consent model localize with it? GDPR wants a documented opt-in before you can send in the EU, CAN-SPAM is fine with opt-out after the fact in the US. if Migma is picking the send list and timing on its own, does it also know which legal basis applies per recipient, or is that still something the sender has to configure region by region themselves?

Congrats on the launch. The combination of Zinn plus real inbox and device previews feels like the more durable moat than generation alone, especially since the failure modes only appear after send. I am curious how the learning loop handles conflicting signals across localized versions: if a Spanish variant gets fewer clicks but higher downstream purchases, can the system learn toward revenue quality rather than optimizing the easiest top-of-funnel metric?

The drafts-the-campaign-before-you-ask angle from brand plus calendar is the part I would test for launch comms, where timing and segmentation matter more than the copy. When it builds the audience automatically, can I still hard-scope the segment — say only active community members versus a cold waitlist — or does it decide the audience for me? That control is usually the make-or-break for me before hitting send.

Congrats on the launch. The preflight checker that catches rendering issues across email clients and fixes them with one click is such a good detail, that cross-client mess is usually the most painful part of building emails. Curious how you're handling something like Outlook's rendering quirks under the hood, that engine has famously been a nightmare for HTML email for years.

The visual editor paired with real brand email examples is a smart combination. Starting from a strong reference and still being able to tweak every element feels much less limiting than a one-shot generator.

Building your own markup language is a bold move. At what point did you realize existing solutions weren't good enough instead of trying to work around them?

'First campaign should never be as good as your last" is the line the whole product can be built around! Most AI email tools stop caring the second the send button is hit. Curious about attribution on small lists... Does each account learn in isolation? Are you pooling patterns across accounts to get past the cold start? Congrats on the launch!

@Boey ignoring opens because of Apple Mail's privacy proxy inflating them is the right call, a lot of tools still pretend that number is meaningful. leaning on click-weighted credit across the whole send history rather than trying to nail a single journey makes sense too - single-path attribution was always going to be noise dressed up as precision. makes me want to see what a/b testing two subject lines on the same day-3 email looks like in your dashboard, that's usually where the click data would actually change what someone sends next.

the render consistently across inboxes line is the part i'd test first. outlook has wrecked more of my campaigns than any bad subject line ever did. does it hold up in the older outlook desktop clients or mostly the modern web ones?

Congrats on the launch @liam007! Being able to trigger and manage campaigns directly from Slack or Telegram sounds super smooth. Can we review and approve full campaign previews right inside those channels before they go live?

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?

Big congrats team. Love that it factors in the calendar, not just brand and audience. Timing is usually the part founders get wrong, so having that baked into the drafts is smart. Excited to see this one grow.

About Migma AI on Product Hunt

AI runs your email marketing. Better with every send.

Migma AI launched on Product Hunt on July 22nd, 2026 and earned 450 upvotes and 92 comments, earning #3 Product of the Day. 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.

Migma AI was featured in Email (36.7k followers), Analytics (172.9k followers) and Marketing (466.3k followers) on Product Hunt. Together, these topics include over 100.4k products, making this a competitive space to launch in.

Who hunted Migma AI?

Migma AI was hunted by Chris Messina. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Migma AI has received 3 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.

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