Migma AI - AI runs your email marketing. Better with every send.
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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.
Replies
Earth.fm
I like products that reduce context switching. This feels like a platform designed around that idea. Great work!
Migma AI
@1mirul Thanks so much! Cutting context switching was a big part of the design, glad it comes 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.
Context.dev
LETS GOOOOO!
Migma AI
@yahia_bakour3 yoo, please watch your APIs, we may burn your servers.
Migma AI
@yahia_bakour3 Yahiaaaa 🤗
the "learns what drives revenue" part is the interesting bit to me - how does it attribute revenue back to a specific email when someone gets touched by 3-4 emails in a sequence before converting? that's usually where email attribution gets messy even for humans doing it manually.
Migma AI
@omri_ben_shoham1 You're right, when someone gets 3-4 emails before buying, giving one email the credit is guesswork. So we don't force it onto a single email.
We track which emails a person actually clicked, and spread the credit across those, leaning toward the ones they engaged with most. Opens we mostly ignore since Apple Mail fakes a lot of them.
The part we really trust is the pattern across lots of sends, not one person's path. If the day-3 email with one subject line keeps showing up before people buy, and another version doesn't, that tells us something real even when any single journey is messy.
That's the math no one has time to do by hand.
Best way to judge it is to see it live. Would love for you to try it.
Next3 Offload
How does Migma handle email deliverability and domain reputation when sending campaigns from a connected custom domain?
Migma AI
@shahriardgm Great question 🙌
When you connect your own domain, Migma handles setup and warmup for you, so it ramps up gradually and lands in the inbox instead of spam, meeting all the checks that actually help conversion along the way.
If you don't have a domain yet, you can send straight from Migma with a shared address, no setup needed. Or you can buy a new domain right inside Migma at an affordable price.
Come connect yours and try a send, would love to hear how it lands for you 📬
Spycost
Congrats on the launch! Migma’s focus on the full email workflow, from planning to rendering and compliance, feels much more practical than just another AI copy generator. I’m especially curious about how the system learns from approvals, edits, and skipped sends over time. How quickly does it adapt to a brand’s tone and sending judgment?
Migma AI
@glebarios Thanks so much, this means a lot 🙏
Brand tone comes from what you feed it (your assets, guidelines, past campaigns) and it keeps refining that as you approve, edit, or skip sends, so the more you use it the closer it tracks how you actually write and what you're okay shipping.
Performance also feeds straight back in: opens, clicks, what worked, what didn't, all shaping the next campaign automatically.
Come try a few campaigns and you'll feel it get sharper send over send 📬
The auto-generated campaigns idea is genuinely cool, but I'd love to see a side-by-side preview showing how each email renders across Gmail, Outlook and Apple Mail before I hit approve. Would save me from those surprise layout breaks on Outlook especially.
Migma AI
@nihaln20560 Love this, and good news, we already have it 🙌 Preflight shows client previews (Gmail, Outlook, Apple Mail, dark mode, and more) before you approve, so you catch any Outlook weirdness before it goes out, not after.
Come check it out for free.
One thing that would really help me is a side-by-side preview of how the email looks across different clients like Gmail, Outlook, and Apple Mail before I hit approve. It would save me from those surprise layout breaks that always seem to pop up after sending.
Migma AI
@yiitqx9x Our engine already renders every email to match across clients properly, so the base is solid before anything else kicks in.
On top of that, Preflight lets you preview it on real devices and clients before you approve, so you catch anything before it ships.
Try it here for free: https://migma.ai/email-html-spam-checker
Brand consistency is always hard at scale. Looks like Migma is tackling that problem in a practical way.
Migma AI
@monir_ Appreciate that 🙏
It's actually the first layer we solved early on, so marketers spend time driving revenue instead of fixing things they shouldn't have to worry about.
Try Migma for free today.
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