Povio

3,500+ articles. 15+ content categories. 5,300+ redirects. That's what went into moving Ski Association of Slovenia's website from WordPress to @webflow. 🔵

The challenge wasn't just migrating content. It was making sure years of news, competition results, documents, and media remained accessible while giving the team a simpler way to manage everything going forward.

10,000 devices create a very different engineering problem than 100. ⚠️ A manual workaround that was manageable during the pilot can quickly become a bottleneck once devices are distributed across users, networks, software versions, and locations.

Connected products get misunderstood a lot, mostly because people picture the app and forget the device 📡 Four myths, and what’s true instead: 𝟭. “𝗧𝗵𝗲 𝗱𝗲𝘃𝗶𝗰𝗲 𝗶𝘀 𝗮𝗹𝘄𝗮𝘆𝘀 𝗼𝗻𝗹𝗶𝗻𝗲.” Signal drops in basements, warehouses, and vehicles, so decide what the device does offline and what it keeps until it reconnects. 𝟮. “𝗙𝗶𝗿𝗺𝘄𝗮𝗿𝗲 𝗶𝘀 𝗳𝗶𝗻𝗶𝘀𝗵𝗲𝗱 𝗼𝗻𝗰𝗲 𝗶𝘁 𝘀𝗵𝗶𝗽𝘀.” A device that can’t be updated can’t be fixed. Plan over-the-air updates from day one. 𝟯. “𝗠𝗼𝗿𝗲 𝘀𝗲𝗻𝘀𝗼𝗿𝘀 𝗺𝗲𝗮𝗻 𝗺𝗼𝗿𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁.” Every extra reading costs battery, bandwidth, and storage. Collect what answers a question your user has. 𝟰. “𝗔𝗜 𝗯𝗲𝗹𝗼𝗻𝗴𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗰𝗹𝗼𝘂𝗱.” It depends on the feature. Time-critical or private features may belong on the device, and most products use both. Which myth should we take on next?

@ycombinator just released its Winter 2027 Requests for Startups 🚀 The big theme: AI’s bottlenecks are moving beyond the models and into the systems needed to bring intelligence into the real economy. Five ideas that stood out to us: 𝟭. 𝗧𝗵𝗲 $𝟭𝟱-𝗮𝗻-𝗵𝗼𝘂𝗿 𝗲𝘅𝗽𝗲𝗿𝘁 AI that turns smart people without credentials into experts. Think insurance claims, medical billing, taxes, and immigration paperwork, anywhere a credential is the bottleneck. 𝟮. 𝗔𝗜 𝗳𝗼𝗿 𝗖𝗶𝘁𝘆 𝗛𝗮𝗹𝗹 Permits, inspections, licensing, public records. YC estimates US cities would earn an extra $16B a year in tax revenue if permits were approved in 10% of the current time. 𝟯. 𝗣𝗹𝗮𝗶𝗱 𝗳𝗼𝗿 𝗴𝗼𝘃𝗲𝗿𝗻𝗺𝗲𝗻𝘁 𝗯𝗲𝗻𝗲𝗳𝗶𝘁𝘀 Verify income, tax, and residency once, then apply everywhere. From 2027, states must re-check millions of Medicaid enrollees every six months. 𝟰. 𝗔𝗜 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗮𝗶𝗿-𝗴𝗮𝗽𝗽𝗲𝗱 𝗲𝗰𝗼𝗻𝗼𝗺𝘆 Hospitals, banks, and defense contractors can’t send their data to an AI API. Frontier AI has to run inside their own walls. 𝟱. 𝗢𝘄𝗻 𝘆𝗼𝘂𝗿 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 Open-weight models now compete with frontier models on meaningful benchmarks, and more companies will want specialised models built on their own data. Full list in the replies 👀 The common thread: the next wave of value sits in getting AI to work inside regulated, complex, real-world systems. YC alumni, what’s one piece of advice you’d give founders applying for W27? Drop it below 👇

Great hardware deserves software that can keep up. ✅ But when connectivity drops, companion apps struggle, or the device fleet starts growing, IoT product teams often need expertise across several parts of the system. That’s where we come in. 🤝

AI can write syntax faster than anyone can type it 🧩 What it doesn’t decide is how the pieces fit together, or where the system breaks first under real load. That still takes someone who understands the whole system 👇