Curious what you re actually shipping with right now. Which stack are you using day-to-day, and why did you choose it over the alternatives? A bit of context (product type + team size) helps a ton.
If you ve switched stacks recently, what did you move from/to and what pushed the change? Cost, speed, hiring, DX, vendor limits, something else?
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?
Yes, we had this talk on Product Hunt countless times, about whether Apple is behind in AI.
Apple is in early talks with Google to potentially use Gemini AI to power a revamped version of Siri, as part of efforts to catch up in generative AI. They have been considering Anthropic s Claude and OpenAI s ChatGPT + testing their own models.
As Business Operations Managers, we re always tasked with keeping teams informed when processes change. But the reality? Writing those Slack/email announcements every single time is repetitive, time-consuming, and sometimes frustrating.
That s why Slashit built the Dynamic AI Template Announce a Process Change Generator.
Here s how it works:
Input your Change Name, Affected Teams, Effective Date, Key Benefit
We launched Ting a few weeks ago and I ve had a lot of people ask how we got noticed + grew the waitlist.
I wanted to share some of that here, but also zoom out into how we re thinking about building and growing at the same time - so I wrote a longer piece about it.
The team over at Warp is cooking. A lot of users still have tons of questions about how to use Warp effectively to code and learn prompt-driven development. So...
