No matter what you're building, investors new favorite question: "What stops OpenAI from doing this?"
For @Migma AI: we operate on the software layer while OpenAI provides the foundation models. they re pushing toward AGI, not building specialized vertical products. email requires deep integrations, brand learning, cross-client rendering, and a compiler we built in-house. OpenAI won t spend years perfecting how 40+ email clients render html but that s exactly our edge. Look at how they acquired @Windsurf for billions: instead of building vertical products themselves, they buy proven software players. we re in that category.
Now tell me: what stops OpenAI and giants from doing what you're doing?
Congrats on the launch - really cool idea and looks to be a very smooth product. I have to ask, if clients have all their contacts and operations inside another CRM (think Zoho or GoHighLevel) that currently send their campaigns, how does it work? My clients would be keen to keep their core CRM systems running without having to duplicate data into a specialized email tool.
Migma AI
@danielboardman Thanks, really appreciate that 🙌
Your clients can keep Zoho, GoHighLevel, or their current CRM as the core system. Contacts are imported or synced into Migma through native integrations, connected ESPs, or API/webhooks, depending on the setup.
So there’s no need to move the rest of their operations. Migma handles the campaign workflow, while the CRM stays the main source of truth.
Would love for you to try it with one of your client setups and tell us how the workflow feels.
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 📬
Email marketing that actually learns from results is what most tools claim but dont deliver. How long does it take for the AI to start making noticeble improvements after first few sends?
Migma AI
@abdurrahman_fakhrul Totally fair pushback.
Every send feeds data back in immediately, opens, clicks, what converted, so it's not waiting on a big batch to update. We don't have an exact "X sends" number pinned down, but people usually start noticing sharper segmentation and copy within their first few campaigns as it locks into what your audience responds to.
Migma AI
@hannesh Yes exactly!
From Slack you can ask Migma what to send next, check the dashboard for results, or hand it a Figma frame and get back a ready email.
Come give it a try
Migma AI
@hannesh Yes, exactly! You can try it and see how accurate it is.
'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!
Migma AI
@artstavenka1 Thanks 🙏 And you nailed the whole thesis in one line.
Two layers, and this is exactly how we beat cold start. There's a shared base that's learned from tens of thousands of real campaigns, so a brand new account with a tiny list still starts smart, it's not learning what good email looks like from scratch. That's the pooled part: patterns, what structures and timing and subject styles tend to work, never anyone's actual data or contacts.
Then your own account learns on top of that, privately. It picks up your voice, your buyers, what converts for you specifically. That layer never leaves your account.
So small lists lean on the shared base early, then their own signal takes over as sends add up. Want to try it on one of yours and see where it starts?