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Testing the Windy v48 update where forecasts matter most. From polar conditions to your local neighbourhood, this version is about clearer data, smarter layers, and tools you actually use. Whether the weather is extreme or you’re just planning your day. What’s new and what we love: 🌧️ Precipitation type...

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Windy.com

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2,046,997 Aufrufe • vor 7 Monaten •via X (Twitter)

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🎉🔵ONE MONTH of WeatherFront🔴🎉 Thanks to everyone who has helped make WF a success since our launch on May 4th! What a fun journey it has been. To operational meteorologists - we hope WF has made it easier to interrogate models, construct forecasts, and quickly find the weather data you need as you serve the public and your partners/customers. To emergency managers - we hope WF has enhanced your ability to quickly respond to hazardous weather with more detailed basemaps to pinpoint affected locations and a wealth of weather data catered to your mobile device. To broadcast meteorologists - we hope WF has provided high-quality data visualization for use on social media and given you a mobile resource for radar, satellite, and model data when you’re doing live coverage on air during severe weather. To weather hobbyists - we hope WF has helped you learn more about different weather data types and equipped you with an expanded set of tools to track storms as you build a deeper passion for meteorology and stay informed about what is headed your way. To storm chasers and spotters - we hope WF has increased your situational awareness on the road or while watching from home - thanks for taking WF to all corners of the US! We’ve enjoyed seeing your content and congratulate you on a great spring season so far. To our international customers - we hope WF has provided a unique perspective to view global weather model data. We appreciate your support and look forward to bringing you additional data sources in the future. To all current and future WF users - thanks for joining us on the journey! We’re just getting started. We hope you’ll invite your friends and colleagues to give WeatherFront a try as we continue to innovate and bring even more products to your mobile devices!

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Half an hour into the most recent Joe Rogan podcast, Joe and Matthew McConaughey imagined AI that could deeply understand you, learn from your private data, and give proactive support without sacrificing your privacy. AI that could know your favorite books, your personal information, even your thought patterns, and return insights to help you understand yourself better. They spoke of this like a vision for the future, but at LedgerAI, that future already exists. AuraVision is our private AI platform that keeps your data where it belongs, with you. •Your data is stored locally, not in the cloud. •You can ingest AuraVision with exquisite data about yourself or your company: your strategies, workflows, knowledge, and goals. • In return, AuraVision provides actionable advice and intelligence, turning your private information into secure, personal insights. Whether you are a doctor, lawyer, government body, a financial institution, or even Joe Rogan or Matthew McConaughey, AuraVision makes AI adoption real, practical, and secure, accessed via our native token, $LEDGER. The difference is simple: while others are still imagining, we’re already building. Train by day, AuraVision by night, all day! We’ve left a link to the episode in the replies, leave your thoughts!

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Raiza Martin

101,411 Aufrufe • vor 1 Jahr

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This is what flying through a hailstorm looks like from an Airbus A320 cabin over Paraguay in an absolute emergency. There are five ways pilots can tackle a thunderstorm while airborne: 1. Fly around 2. Fly over 3. Divert 4. Fly under 5. Fly through In that order. Flying under and flying through are both dangerous options, although flying under can be slightly safer depending on the storm. Jet engines are actually tested and certified for hailstone ingestion. The rest of the aircraft, maybe not. On weather radar, color codes are used to represent different intensities of precipitation and weather conditions: Green: Light precipitation, such as drizzle or light rain. Yellow: Moderate precipitation, indicating heavier rain or snow. Red: Heavy precipitation, such as thunderstorms or intense rain. Magenta: Extreme precipitation, often associated with severe weather, hail, or severe turbulence. 📹: Omegasix

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Let's be honest: sending crypto is tricky. The interfaces can be confusing, and there's always some anxiety about entering the correct address and amount and making sure everything is accurate. Plus, there's the hassle of managing transaction fees. Someone had to put a stop to that, and we did. With this Tangem app update, you can: — Use a simple and smooth interface to send funds. — Select addresses from recent transactions or your own wallets — see all your addresses even if you have multiple wallets. — Enter amounts in the sending currency or fiat for your convenience. — Manually adjust transaction fees for greater flexibility. — Benefit from a clear confirmation screen to avoid mistakes. Enjoy the new and improved Tangem app now, available on the App Store and Google Play. 🖤
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Let's be honest: sending crypto is tricky. The interfaces can be confusing, and there's always some anxiety about entering the correct address and amount and making sure everything is accurate. Plus, there's the hassle of managing transaction fees. Someone had to put a stop to that, and we did. With this Tangem app update, you can: — Use a simple and smooth interface to send funds. — Select addresses from recent transactions or your own wallets — see all your addresses even if you have multiple wallets. — Enter amounts in the sending currency or fiat for your convenience. — Manually adjust transaction fees for greater flexibility. — Benefit from a clear confirmation screen to avoid mistakes. Enjoy the new and improved Tangem app now, available on the App Store and Google Play. 🖤

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30,187 Aufrufe • vor 2 Jahren

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| $SGT Latest Update is LIVE! At we're dedicated to building an all-in-one DeFi ecosystem that covers everything from the hottest crypto trends and breaking news to top performers and in-depth analysis of call groups and influencer signals. Our latest update is designed to enhance your user experience, making it easier to navigate through our utilities and access critical insights. Here’s What’s New: 🔍 Search Bar: for tokens mentioned on our platform by name or contract hash, streamlining your access to key data. 📊 Token Profile Pages: with essential metrics such as Market Cap, Volume, Price, and Performance Charts. A detailed table at the bottom shows which influencers mentioned the token and how it performed afterward. 📈 Top 5 Visited Tokens: Check out the most viewed tokens on our platform. This new table highlights the tokens generating the most user interest, helping you stay ahead of the trends. 💻 Telegram App & Bots: With our focus on Telegram, we've added dedicated pages for our app and bots, making it easier to explore their features and utilities as we continue to expand our offerings. ⚡️ UI & Speed Enhancements: The platform has been optimized for a faster, smoother experience, with an improved user interface for better navigation. 📺 Watch the full tutorial: Join our community for more news and updates! 🌐 Visit us at :

ShillGuard $SGT

16,239 Aufrufe • vor 1 Jahr

Introducing the New Silencio Map Explorer. Explore real-world noise levels across streets, hotels and restaurants. All powered by community-contributed data from over 1 million sensors. This isn't just a map; it's a window into community-powered data that allows you to: • Assess outdoor noise levels globally using Street, Hotel, and Restaurant data layers. • Identify potentially quieter areas for living or working. • Observe noise level trends within specific locations. We’re making decentralized data both accessible and actionable. And this is just the beginning. Coming soon: • AI-driven analysis for deeper environmental understanding. • Noise source identification capabilities. • Downloadable, detailed environmental reports for specific areas. This is what DePIN should feel like. No speculation. Just real-world tools powered by real people. Start exploring:
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Introducing the New Silencio Map Explorer. Explore real-world noise levels across streets, hotels and restaurants. All powered by community-contributed data from over 1 million sensors. This isn't just a map; it's a window into community-powered data that allows you to: • Assess outdoor noise levels globally using Street, Hotel, and Restaurant data layers. • Identify potentially quieter areas for living or working. • Observe noise level trends within specific locations. We’re making decentralized data both accessible and actionable. And this is just the beginning. Coming soon: • AI-driven analysis for deeper environmental understanding. • Noise source identification capabilities. • Downloadable, detailed environmental reports for specific areas. This is what DePIN should feel like. No speculation. Just real-world tools powered by real people. Start exploring:

Silencio | Voice Data for AI

15,228 Aufrufe • vor 1 Jahr

Today we are launching Autopilot 4.0, a new generation of Autopilot that acts as a sleep agent. Autopilot 4.0 uses data from your day and night to predict how you’re likely to sleep, automatically adjust your sleep environment through the Pod, and explain what happened by morning in plain language. This is the next step in what makes Eight Sleep different. We do not just surface data or generate sleep insights. We use that data to actively respond through the sleep environment itself. Members can connect Apple Health or Health Connect, or tag events directly in the app, giving the sleep agent more context from workouts, activity, stress, alcohol, meals, and other daily inputs. That context helps it predict what may happen during the night and make the right adjustments before and throughout sleep. Autopilot 4.0 is built on more than one billion hours of sleep data and is now available in the Eight Sleep app.
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Today we are launching Autopilot 4.0, a new generation of Autopilot that acts as a sleep agent. Autopilot 4.0 uses data from your day and night to predict how you’re likely to sleep, automatically adjust your sleep environment through the Pod, and explain what happened by morning in plain language. This is the next step in what makes Eight Sleep different. We do not just surface data or generate sleep insights. We use that data to actively respond through the sleep environment itself. Members can connect Apple Health or Health Connect, or tag events directly in the app, giving the sleep agent more context from workouts, activity, stress, alcohol, meals, and other daily inputs. That context helps it predict what may happen during the night and make the right adjustments before and throughout sleep. Autopilot 4.0 is built on more than one billion hours of sleep data and is now available in the Eight Sleep app.

Eight Sleep

218,225 Aufrufe • vor 3 Monaten

We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.
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We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.

Amazon

47,421 Aufrufe • vor 2 Jahren

Cetus Box is live!🐳💙 Cetus Box is a toolbox built by Cetus🐳, designed to make using Cetus smoother and more intuitive for everyone in the ecosystem. It brings together useful tools shaped around how users actually interact with DeFi, helping traders and LPs track performance, understand positions, and make better decisions with clarity. With Cetus Box, you can: •Check yield from CLMM and DLMM pools •Track DLMM performance and generate clean PnL cards •Get a clearer view of how your strategies are performing Everything is built with usability in mind, focused on clarity, speed, and real value for everyday users. This is just the beginning. Cetus is building tools to make DeFi easier to understand and simpler to use over time. Try it here:
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Cetus Box is live!🐳💙 Cetus Box is a toolbox built by Cetus🐳, designed to make using Cetus smoother and more intuitive for everyone in the ecosystem. It brings together useful tools shaped around how users actually interact with DeFi, helping traders and LPs track performance, understand positions, and make better decisions with clarity. With Cetus Box, you can: •Check yield from CLMM and DLMM pools •Track DLMM performance and generate clean PnL cards •Get a clearer view of how your strategies are performing Everything is built with usability in mind, focused on clarity, speed, and real value for everyday users. This is just the beginning. Cetus is building tools to make DeFi easier to understand and simpler to use over time. Try it here:

MIRAI DEGEN

17,504 Aufrufe • vor 7 Monaten

GeoLibre v2.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre
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GeoLibre v2.3.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings a legend that writes itself from your symbology, a new GeoLens catalog browser, and 200+ GeoLibre Rust geoprocessing tools running entirely in the browser. What's new in v2.3.0 - Automatic on-map Legend: the legend builds itself from your visible layers, with class rows for graduated, categorized, rule-based, and expression styling, gradient bars for heatmaps and raster colormaps, and land-cover labels from a Raster Attribute Table. Rename, hide, reorder, or add your own entries, and it saves with the project. - Symbology swatches in the Layers panel: every row shows a dot, line, square, or image glyph in the layer's own color, so a tall layer stack reads at a glance. - GeoLens catalog browser: connect to a self-hosted GeoLens server, search its catalog, and add datasets as vector tiles, GeoJSON, or rendered raster tiles. - Emerging Hot Spot Analysis: build a space-time cube from timestamped points and classify every cell as a new, intensifying, persistent, diminishing, sporadic, oscillating, or historical hot or cold spot, all client side. - Mosaic time series: the Time Slider now steps through MosaicJSON and STAC collections of many COGs per date, on either a GPU or a WASM rendering engine. - Copy and paste layer styles: give a whole set of layers one consistent look without restyling each in turn. - Shareable tool links: deep-link any Whitebox tool with a ?tool= URL that opens the dialog preselected and pre-fills the form, with a Copy link button to build it for you. - Smarter data loading: pick which layers to load from a multi-layer GeoPackage, import CSVs whose coordinates are in any projected CRS, and read a raster's real CRS, pixel size, and extent from the metadata dialog. - Multiple AI profiles: define several provider, model, and credential setups, pick a default, and switch between them from the assistant panel. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #MapLibre #GeoLibre

Qiusheng Wu

290,917 Aufrufe • vor 19 Tagen