... Daniel, the developer of Second Brain for iPhone and iPad. Dinner Friday at 7. Buy flowers Friday at 4. Saving that as one note leaves two things to sort out later. With optional paid AI, Second Brain is designed to separate those intentions into an Apple Calendar event and an Apple Reminder, with a receipt to inspect each result. I'm looking for the first 10 people willing to try one small, non-sensitive capture they actually need this week ... ... notes, reminders, events and search are free. You can test those tools for free. If you already have AI access, you can also try organizing a mixed capture. Please don't buy a subscription just to give feedback. The dinner

... principle is simple. Most technical co-founders and early engineers are excellent at writing code. But many have never designed a scalable architecture. It is like being an excellent chef but never having managed a restaurant kitchen during the dinner rush . What I am curious about When did you last look at your database indexes? Do you have automated tests? And where will your system break when user volume increases by 10 times? Imed Radhouani Founder & CTO Rankfender Data ... ... spent 6 months paying for shortcuts you took in the first 6 weeks. The cost breakdown is not about the money. It is about the lost features you never got to build. The customers you never acquired. The competitors

... clean split-screen grid. Speaker diarization figures out who said what. Translations appear as people speak. Use cases we're seeing: Healthcare workers talking to patients Small business owners serving multilingual customers Mixed-language families at the dinner table Business meetings without a hired interpreter Travelers having real conversations, not pointing at phones What's under the hood: Multi-stream speech recognition with automatic language detection Speaker diarization across parallel translation streams Temporal speaker remapping to keep IDs consistent Conversation ...

... clean split-screen grid. Speaker diarization figures out who said what. Translations appear as people speak. Use cases we're seeing: Healthcare workers talking to patients Small business owners serving multilingual customers Mixed-language families at the dinner table Business meetings without a hired interpreter Travelers having real conversations, not pointing at phones What's under the hood: Multi-stream speech recognition with automatic language detection Speaker diarization across parallel translation streams Temporal speaker remapping to keep IDs consistent Conversation ...