... delivery partners. Throughout this Idea Usher review , the emphasis stays on usability, scalability, and real-world execution. Project Overview Limitless positions itself as a multi-category on-demand delivery and pickup app . Instead of forcing users to install different apps for different

... models pop up every week. Some developer tools like @Cursor , @Zed , and @Kilo Code let you choose between different models, while more opinionated products like @Amp and @Tonkotsu default to 1 model. Curious what the community recommends for coding tasks? Any preferences? Comment from Yuanyuan Zhang(@yuanyuan_zhang0104): In cursor, I have tried Opus 4.5 and GPT 5.2 in the plan mode, and personally, I prefer the former. However, I m still torn on the best setup for fixing bugs ... ... mechanical, tests, small refactors, glue code, we switch to something faster. Using Opus for that is a waste. Comment from John Brush(@john_brush): Nate B. Jones has an interesting piece on his channel where he compares models to different

... Compare Node in Datastripes that turns side-by-side analysis into a one-step flow. How it works: Drop in two incoming data nodes. The Compare Node automatically checks for matching columns and aligns them. It highlights differences, runs comparisons, and outputs both charts and narrative insights. Use cases: Compare income statements from two companies to see structural or performance differences

... Coordinating actions (like notifications, support, or real-time interactions) across time zones is trickier than it seems. 4.Language limitations Supporting multiple languages often means dealing with UI constraints, font rendering, and even right-to-left layouts. 5.Legal and compliance differences Privacy laws, payment regulations, and data hosting rules vary greatly between countries. I m curious to hear from others building global or multilingual AI products: How do you handle language fallback or preference issues with AI? What s been your ... ... first assumptions? Would love to hear your thoughts and real-world experiences! Comment from Yee Doong(@yeedoong88): @dg_  Great question thanks for asking! Our product is AI-based and developer-focused, which naturally draws interest from users in different

... country. Tim quit school at 16 because he realized he was earning more than his teacher, and has worked ever since. Me (left) and Tim (right) at our Mykonos company offsite in 2024 Despite these differences, we realized it was important to be equal partners in PostHog from the outset. We took 50:50 equity in the company and, once we could afford to do so, took the same salary, too. Not doing so felt wrong ... ... dysfunction at the top) Therefore, I d argue you should just minimize the risk of you and your cofounder breaking up. Anything that could cause resentment, like a lack of evenness at the outset, should be avoided. Despite our differences

... process and transmit information. Neural networks can be trained to recognize patterns in data and make predictions, and they are particularly well-suited to tasks such as image recognition, natural language processing, and speech recognition. One of the main differences between AI and neural networks is that AI encompasses a wider range of technologies and approaches, while neural networks are a specific type of algorithm within the field of AI. AI also includes rule-based systems, decision trees, genetic algorithms ... ... other types of machine learning algorithms that are not neural networks. Another difference