... data plane is smart too. Feels like the kind of decision people only make after getting burned once. Curious how you handled the matching scorer for ingredients that have weird regional names though, that part always trips up nutrition datasets in my experience. Btw if you ever want to swap notes on agent architecture, I'm building AI Hive, an automation flow platform for teams. Would genuinely love your take on it if you have 2 mins, and a review ... ... started teaching an AI to cook, on evenings and weekends. This week it went live on the App Store and Google Play. Solo build: services, web, native mobile, and the pipelines in between. CuocoMitra is an AI cooking and nutrition

... someone needs a day to recharge, they can simply say, "I need a day no questions asked and no explanations required. Comment from Nika(@busmark_w_nika): @alex_iliescu  What do you mean by this in this topic? Comment from Nika(@busmark_w_nika): @mpanpalli  Because of that, I am sometimes envious of 9 5 job people. They know when to stop :D Comment from Nika(@busmark_w_nika): @matthew_moughtin  I want that link! :D Comment ... ... sucker for the supplements :p Comment from Samim Safaei(@samims): Wellness! Stress is the silent killer for everyone, and entrepreneurs deal with way more of it than most people. So invest in your body and mind with regular exercise, nutrition

... pretty quickly. Big lesson : sometimes your best startup idea is the problem people are already begging you to solve. Comment from zhuang john(@new_user___20820269d85b0ecc56c79e2): I m at this stage now with a nutrition tracking app. The product is working, but finding the first real users is harder than building it. I m starting to test small communities and talk to people who already track food, instead of just posting the app everywhere. It feels like the first useful ... ... become not only a place for discovering startup ideas, but also a way to connect founders with their first real users. That part became especially interesting to me after all these conversations. Thank you for bringing up this topic

... video link and uses AI to extract everything into a structured card. You just hit share on a TikTok, Reel, or Short like you normally would and pick Stashling. A recipe becomes a full ingredient list with steps, nutrition info, and serving scaling. A place becomes a name, address, price range, hours, and what to order. A workout becomes sets, reps, rest periods, and equipment needed. The part I'm most excited about is search. You can search across ... ... view by the original video. We don't handle activities currently, but we plan on adding them! Comment from Olga Kargopolova(@olga_kargopolova): I struggle with losing content all the time! How does it categorize content that cover multiple topics

... presence. And whenever I feel that there are too many things in my head and on my chest, I just need to move. Comment from Nika(@busmark_w_nika): @seanphwang  Just yesterday, a post by him about the topic. I am realising sleep's potential now. Comment from Edward Michaelson(@emikes919): sleep, lifting heavy, and intense cardio are the obvious GOATs, so will set those aside. If I had to choose ONE, it would be prioritizing mobility (through yoga ... ... habit, but it really adds up over time! Comment from Soham Goswami(@sohamgoswami1): @seanphwang  Initially it started with tracking protein intake to optimise for fat loss and more energy, but it gradually became a tool for maintaining general nutrition

... brick. 4. Every AI edit is a versioned mutation. An adapted recipe is a new version with full history, revertible in one tap. The agent has write access to nothing it cannot undo. 5. Retrieval over memory. Culinary and nutrition answers are grounded in a curated knowledge base through an embeddings pipeline. Traceable to sources, not improvised from whatever the model memorized in training. 6. One brain across every surface. Photograph a plate and a vision model recognizes the dish ... ... into one path that can personalize what comes next. I m currently recruiting 10 genuine learners for a structured seven-day product-research cohort. Selected participants use it for 10+ minutes/day on a real class, exam, certification, or independent topic