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?
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?
Migma AI
@terminal_candy Outlook is exactly the client we built hardest for 🙌 Zinn covers the old desktop versions too, not just the modern web ones, down to Outlook 2003.
Come put it through its paces.
klaviyo and hubspot slapped ai email gen on this year too tbh. what's actually different here besides zinn?
Migma AI
@levi_mitchell1 Fair question.
Zinn's part of it, but the bigger piece is that Klaviyo and HubSpot bolted AI onto tools built for a human to run. Migma was built agent first, so it plugs straight into your own project through MCP and can handle your campaigns end to end, not just draft copy for you to finish but the entire workflow.
Come try a full cycle and see the difference.
Migma AI
@carlos_mendez16 Yes! Connect a new domain and Migma warms it up automatically, so you ramp up sending without hurting your reputation.
Come try it for free!
Macaly
email that improves every send is the dream 📩 congrats!! does it learn per brand?
Migma AI
@petrkovacik Yes, it uses your brand, metrics and your previous campaigns.
@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.
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 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?