Blynk

Ask your fleet anything. Get rankings, averages, and trend comparisons back in under a second. That's the new analytics layer in the Blynk MCP server. Segment your devices, compare this week to last, find the one unit that's an outlier, all from Claude, Cursor, or any AI tool you already use. It sits next to the automation and device management tools the MCP server has had since February. So the same conversation that finds a faulted unit can also build the alert that catches the next one. Live now on every plan, including free. Nothing to set up if you're already connected. Read what it can do: https://lnkd.in/eaNmhvkD #AIoT #MCP #IoT #Blynk

Reinsurers now underwrite equipment failure the same way they underwrite any other measurable risk. That only happens when the cost of "no one caught it in time" becomes a number someone will stand behind. Every monitoring product has that number. It just lands on a different P&L depending on who's buying — the operator, the OEM, or the contractor. We break down why the same sensor data tells three completely different financial stories: https://lnkd.in/eZcYPFNh #HVACR #predictivemaintenance

HVAC manufacturers connecting their equipment usually face the same question: build it yourself, use an OEM platform, or build on top of an IoT platform that hands you the infrastructure. The deciding factor isn't cost or speed. It's whose brand the equipment owner sees on their phone. Raypak chose to build on a platform back in 2019. That decision let them keep the Raymote brand as their own, put real operating data in front of their service team, and scale to tens of thousands of connected units without building a mobile team from scratch. That's the case for owning the stack instead of renting someone else's monitoring product: you keep the relationship with the customer, and the platform underneath just does its job. Full breakdown of the options here: https://lnkd.in/e9c2hVyj #HVAC #IoT #ConnectedEquipment

Iridium covers the entire planet with satellite connectivity. Blynk adds the layer that makes that power usable: easy to start, build on top of, and scale without limits. That's the mission we're building toward together, closing the gap between hardware that works and a product that's actually ready to ship. See how fast it goes from unboxing to live data on your dashboard in this short video series by Matthias Mitchell from Iridium. https://lnkd.in/ebyMmw2y

Most "predictive maintenance" is actually just an alert when a threshold gets crossed. That's condition-based monitoring, and it's genuinely useful. Real prediction answers a different question: not "is something wrong now" but "when will it fail." The catch: prediction needs a baseline of normal operation plus real failure history. Detection doesn't. That's why so many programs jump straight to prediction and stall, they're missing data they haven't collected yet. The payoff for getting there is real too. One furnace OEM avoided a $100,000 recall and cut support costs by tens of thousands a year, just from connected equipment data. Full breakdown here: https://lnkd.in/eu58PwnJ #PredictiveMaintenance #IoT #ConnectedEquipment

Adding a new device to your IoT fleet shouldn't mean writing new code. Most integrations force a tradeoff: manage a unique credential for every device, or rebuild your data pipeline every time you add a new sensor. That works fine for one device. It falls apart at scale. We built a setup where none of that applies. New devices just work. New sensor readings just show up. No firmware changes, no per device setup, no growing pile of integration code to maintain. We tested it on real hardware and open sourced the whole thing so you can see it in action. Full guide here: https://lnkd.in/eUbAGamM #IoT #ProductDevelopment #blynk Particle

We are happy to welcome Hisham Daou to Blynk as Director of Embedded! As Blynk continues to expand across IoT and predictive maintenance use cases, with support for a growing range of connectivity methods and protocols, staying hardware agnostic remains one of our core commitments. Hisham's background will help us push that even further, from building deeper integrations with a wider range of hardware to developing new firmware tools that give our customers more flexibility and an easier path to building their solutions. 🚀 Excited for what's ahead. Welcome to the team, Hisham!

Satellite connectivity opens up IoT for remote and off grid environments, but it comes with real tradeoffs: limited data, higher power draw, and slower delivery than cellular. We put together a practical guide on designing IoT devices for satellite networks: how to think about data budgets, battery life, and message timing so your product performs well in the field, not just on paper. If you're building connected devices for remote or off grid environments, worth a read: https://lnkd.in/ecSWjUSq #satelliteiot #ntn #iot

Your maintenance contract says quarterly. Your compressor doesn't know that. Preventive maintenance runs on a schedule. Predictive maintenance runs on data. For commercial HVAC and refrigeration, it's not either/or; they cover each other's blind spots. Scheduled visits catch wear items like dirty filters and worn belts. But they miss anything that develops between visits, and the most expensive failures don't wait for your quarterly appointment. Monitoring catches those failures early, things like a slow refrigerant leak or a compressor drawing more current every week. But filters don't show up as "dirty" in a temperature graph until airflow has already suffered, and every alert still needs a tech to act on it. So which one actually saves you money? It depends entirely on what a breakdown costs you. We break down how the two approaches work together, and where the real savings come from: https://lnkd.in/e_bWecCj #CommercialHVAC #PredictiveMaintenance #FacilitiesManagement #HVACR #Blynk

𝐔𝐧𝐢𝐭 𝐜𝐨𝐧𝐯𝐞𝐫𝐬𝐢𝐨𝐧 looks like a display detail. It behaves like a distributed systems problem. NASA lost the Mars Climate Orbiter because one system calculated in pound force seconds while another expected newton seconds. Every connected product runs this same risk. A reading crosses firmware, a wireless protocol, the cloud, and an app before a person sees it. Get one step wrong, and equipment gets flagged as fine when it isn't, or shut down when it didn't need to be. 𝐖𝐞 𝐫𝐞𝐛𝐮𝐢𝐥𝐭 𝐡𝐨𝐰 𝐁𝐥𝐲𝐧𝐤 𝐡𝐚𝐧𝐝𝐥𝐞𝐬 𝐮𝐧𝐢𝐭𝐬.  One true reading, one clear setting, no matter how many units, devices, or people are involved. Blynk stores the exact value your device sends, resolves conflicts by a clear order of priority, and lets you define any unit your business needs. Full overview: https://lnkd.in/edAV4xDZ