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Naveenraj Vleft a comment
When I brainstorm about weather apps, I always circle back to how different people need different kinds of weather insights, especially for agriculture. What if users could choose the kind of AI-powered alerts they want, based on their lifestyle or selected fields? If I’m a biker: “Roads will be slippery at 7 AM — delay your ride.” If I run a transport business, “Fog alert on your delivery...
How Far Can AI Go in Weather Apps? Beyond Voice Forecasts
Amber ZhaoJoin the discussion
Naveenraj Vleft a comment
We're building a lightweight middleware library that requires minimal integration but delivers a significant boost to backend performance. It's designed to sit between your API and database, handling AI-enhanced prefetching and rule-based caching—perfect for apps dealing with complex data or performance bottlenecks. Drop it in, and your backend gets smarter without a full rewrite. Would love to...
🔥 Roast my idea: drop your ideas and get brutally honest feedback 🔥
Aaron O'LearyJoin the discussion
Naveenraj Vstarted a discussion
🚀 Turn any backend into a speed demon⚡
🧠 AI-powered. ⚡ Rule-based. 🧩 Minimal integration. --- 1. What’s this about? We built a drop-in middleware that prefetches, caches, and accelerates your API responses without touching your database or front end. Just put it between your API and DB. 2. Why we built it Modern apps hit the same endpoints again and again. So we asked: > What if we could serve responses before the client even asks?...