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. 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?
Migma AI
@wesc Clicks are actually the core signal, but not just a yes/no. We see how many people viewed it, how many times, how many clicks, and where they clicked on the email. That tells us what's pulling people and what's dead weight, way more than an open ever could.
Then your store data ties it to real orders. So on your Spanish variant, even with fewer total clicks, we can see people clicked the parts that matter and actually bought. Fewer clicks but better ones, and real revenue behind them, so it ranks higher.
Want to run a localized campaign and watch it read the click behavior on your own numbers?
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?
Migma AI
@galdayan Migma doesn't invent a legal basis for you. Consent lives with your list.
When you connect your store or ESP, the opt-in status comes with each contact, and Migma respects it: if someone isn't cleared to receive marketing in the EU, they don't get picked, no matter what the segment logic wants.
So Migma automates who and when inside the people you're already allowed to email. It doesn't override consent or reclassify a US opt-out contact as an EU opt-in one. The legal basis is still yours to hold, we just don't cross it.
Region-by-region rules engine that tags legal basis per recipient automatically isn't something I'd claim we do today.
@boeychen that makes sense, thanks for the clear answer. follow-up on the "opt-in comes with each contact" part - what happens when the same contact exists in two connected sources with conflicting status, say Shopify has them opted in but the ESP you synced from has them opted out. does Migma default to the more restrictive one automatically, or does it surface the conflict for a human to resolve before that contact gets touched at all?
The localization piece is the part I'd lean on hardest — I send to prospects across German, French, Spanish and Dutch, and matching the language is where most generic tools fall down. When contact locale data is thin or missing, does Migma infer the right language/version from the list itself, or does it need a reliable locale field per recipient to route correctly? Curious how it fails safe when it isn't sure.
Migma AI
@podcast_ai This is the part I'd want to get right too 🙌 Migma uses a locale field when you've got one, but it doesn't fall over when you don't. It reads other signals on the list, things like country, the person's domain, past engagement, to infer the right language.
The important part is what it does when it isn't sure: it won't gamble and fire off the wrong language. It falls back to your default version rather than risk sending someone German when they read French. A safe default beats a confident mistake.
So thin data doesn't break it, it just leans on your fallback for the ones it can't place confidently.
Can we export raw zinn markup or compiled production HTML straight to our own external ESP via API? huge congrats🙌 on the launch @liam007
Migma AI
@priya_kushwaha1 Yep, compiled HTML, absolutely. Raw Zinn markup, not at the moment.
You get clean, email-ready HTML with merge variables already in the native syntax for Klaviyo, Mailchimp, HubSpot, Brevo, or Omnisend, so you can drop it straight in without having to rewire personalization.
You can push it through the native connectors or pull it via MCP or a webhook.
And the best part is that the HTML is built to render properly across Gmail, Outlook, Apple Mail, dark mode, mobile, and even older Outlook versions, so you know it’ll look right before you send.
Would genuinely love to hear your feedback once you’ve tried it 🙌
@liam007 That's great to hear the compiled HTML export is exactly what I needed. Looking forward to testing it with our ESP. Congrats again on the launch.
The idea of carrying the whole workflow from campaign planning to the actual inbox is probably the strongest part of Migma for me. It feels much more useful than another tool that only generates copy. How much control do marketers keep before a campaign is sent, and can they require approval at specific stages?
Migma AI
@nico_mandera You keep full control. Migma gets everything ready, but a human approves it before it goes out.
Once approved, you can send it right away or schedule it, and Migma will handle the send automatically at the time you choose.
You can also review, comment, edit, or pause anything along the way. Migma just takes care of the busywork in between 🙏
ok so per a review, every little edit makes a new email version and burns your daily quota. fast iteration vs hitting the cap fast, real tension there. any plan to batch small edits so they don't each count separately?
Migma AI
@owen_parker4 Good question, small edits are grouped, so every tiny change doesn’t burn a separate credit.
You can also use the visual editor for free, which makes it easy to tweak and iterate without eating into your quota.
Really appreciate you flagging this, and would love to hear how it feels once you’ve tried it 🙌
Looks like something we could definitely use something like this in the near future - do you have a strategy how to you handle sending reputation/content quality?
Migma AI
@foobar_beer Absolutely, that’s a big part of how we think about the product.
Migma helps on three fronts: content and compliance checks before send, deliverability and warm-up guidance, and reputation monitoring through your connected ESP.
The goal is to help you avoid the common issues that hurt sender reputation, not just generate the email and leave the rest to chance.
Would love to hear what your current setup looks like when you get a chance to try it 🙌
@boeychen Love the approach! On my previous adtech project, we were using GlockApps for content evaluation and reputation tracking and Mailgun or AWS SES for the actual sending (warmup etc was coded manually per domain in our app).
Are you using AI for the content/compliance checks? I would be very keen to see how that performs with oldschool "protection tools" like Barracuda or SpamAssasin.