Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

Inspired by some gesture-based point cloud controllers I've seen on here, I vibe coded a similar web app to explore the relationship between spatial, UMAP, and PCA embeddings for spatial transcriptomics data. Next level interactivity via🖐️ Try it out:

Dr. Jean Fan

8,823 subscribers

17,649 просмотров • 6 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Thanks to the authors for sharing all components of this mouse embryo spatial transcriptomics data from cell gene counts to per-molecule coordinates: 🥳 So I vibe coded an app to explore the 3D subcellular transcript organization:

Thanks to the authors for sharing all components of this mouse embryo spatial transcriptomics data from cell gene counts to per-molecule coordinates: 🥳 So I vibe coded an app to explore the 3D subcellular transcript organization:

Dr. Jean Fan

50,567 просмотров • 6 месяцев назад

🚀 Introducing scGPT-spatial! 🧬🌍 A game-changing spatial-omic foundation model, built on the powerful scGPT framework with MoE (mixture of experts) and continually pretrained on a massive 30 million spatial single-cell profiles! 🧠 What’s the challenge? Spatial transcriptomics is next-level complex—not only must we model single-cell/spot profiles, but we also need to capture intricate spatial relationships while handling diverse sequencing protocols (imaging-based vs. sequencing-based). 🔥 Why scGPT-spatial? ✨ A Spatial-omic Foundation Model with Continual Pretraining – Built on scGPT’s robust initialization, it unlocks spatial context in tissues. ✨ SpatialHuman30M Dataset – The largest curated dataset: 30M profiles from Visium, Visium HD, Xenium, and MERFISH across 821 slides. ✨ Revolutionary MoE Decoders – A cutting-edge Mixture of Experts (MoE) architecture for protocol-aware gene expression decoding. ✨ Spatially-Aware Training Strategy – A neighborhood-based masked reconstruction approach to capture complex cell-type colocalization. ✨ Multi-Modal & Multi-Slide Integration – Seamless clustering & spatial domain identification across slides and modalities. ✨ Cell-Type Deconvolution & Gene Imputation – Unlocks cross-resolution & cross-modality harmonization with fine-tuned embeddings. 📄 Read the preprint: 💻 Explore the code/weights: #SpatialTranscriptomics #SingleCell #AIResearch #MachineLearning #SpatialData Huge shoutout to the incredible PHD students Chloe (ChloeXWang) and Haotian (Haotian Cui) for leading this groundbreaking project! 🎉 Massive thanks to our amazing co-authors Andrew, Ronald, and Hani (Hani Goodarzi) from Arc Institute—this work wouldn't have been possible without you! 👏

🚀 Introducing scGPT-spatial! 🧬🌍 A game-changing spatial-omic foundation model, built on the powerful scGPT framework with MoE (mixture of experts) and continually pretrained on a massive 30 million spatial single-cell profiles! 🧠 What’s the challenge? Spatial transcriptomics is next-level complex—not only must we model single-cell/spot profiles, but we also need to capture intricate spatial relationships while handling diverse sequencing protocols (imaging-based vs. sequencing-based). 🔥 Why scGPT-spatial? ✨ A Spatial-omic Foundation Model with Continual Pretraining – Built on scGPT’s robust initialization, it unlocks spatial context in tissues. ✨ SpatialHuman30M Dataset – The largest curated dataset: 30M profiles from Visium, Visium HD, Xenium, and MERFISH across 821 slides. ✨ Revolutionary MoE Decoders – A cutting-edge Mixture of Experts (MoE) architecture for protocol-aware gene expression decoding. ✨ Spatially-Aware Training Strategy – A neighborhood-based masked reconstruction approach to capture complex cell-type colocalization. ✨ Multi-Modal & Multi-Slide Integration – Seamless clustering & spatial domain identification across slides and modalities. ✨ Cell-Type Deconvolution & Gene Imputation – Unlocks cross-resolution & cross-modality harmonization with fine-tuned embeddings. 📄 Read the preprint: 💻 Explore the code/weights: #SpatialTranscriptomics #SingleCell #AIResearch #MachineLearning #SpatialData Huge shoutout to the incredible PHD students Chloe (ChloeXWang) and Haotian (Haotian Cui) for leading this groundbreaking project! 🎉 Massive thanks to our amazing co-authors Andrew, Ronald, and Hani (Hani Goodarzi) from Arc Institute—this work wouldn't have been possible without you! 👏

Bo Wang

59,008 просмотров • 1 год назад

I vibe coded an app (for free) using caffeine that helps you avoid parking tickets in San Francisco. Instead of relying only on recent parking data, it also stores historical parking data and uses that to generate heat maps on a 3D map 🤯 Inspired by: Riley Walz

I vibe coded an app (for free) using caffeine that helps you avoid parking tickets in San Francisco. Instead of relying only on recent parking data, it also stores historical parking data and uses that to generate heat maps on a 3D map 🤯 Inspired by: Riley Walz

AmSpeed⚡️

17,929 просмотров • 9 месяцев назад

visionOS 26 quietly introduced a glimpse into the future of how we’ll browse the web: a spatial Reader. Safari can now automatically transform a website’s content into a spatial experience using Spatial Scenes — allowing you to literally look into the rooms of the apartment you’re about to book for your next holiday. It does this by beautifully blending the content with your surroundings and softly tinting your room with the website’s color palette. It's just not possible to capture. I also love that Apple Intelligence lives in a floating window beside the content, ready to summarize the page for you. I can’t wait to see how this evolves into what we’ll one day call the Spatial Web.

visionOS 26 quietly introduced a glimpse into the future of how we’ll browse the web: a spatial Reader. Safari can now automatically transform a website’s content into a spatial experience using Spatial Scenes — allowing you to literally look into the rooms of the apartment you’re about to book for your next holiday. It does this by beautifully blending the content with your surroundings and softly tinting your room with the website’s color palette. It's just not possible to capture. I also love that Apple Intelligence lives in a floating window beside the content, ready to summarize the page for you. I can’t wait to see how this evolves into what we’ll one day call the Spatial Web.

Phil Traut ᯅ

34,250 просмотров • 1 год назад

PantheonOS allows any biologist to perform complex data analyses of emerging single cell, multi-omics and spatial transcriptomics datasets end to end through AI agent and human collaboration. We are releasing six replays of use cases trajectories. Each "trajectory" is a complete end-to-end run, from prompt to analysis, to figures, and finally to report, and in fully inspectable and reproducible manner. See the six user cases in our PantheonOS Gallery: 1. 3D mouse embryo analysis: Tangram deconvolution and PyVista-based 3D visualization of E6 mouse embryo spatial transcriptomics data 2. 3D human fetal heart analysis: Spatial mapping of heart disease gene patterns using MERFISH data 3. Multi-omics spatial integration: Single cell multi-omics-to-spatial mapping with MOSCOT optimal transport 4. Gene panel design: 1000-plex immune-oncology MERFISH gene panel optimization 5. Cell segmentation benchmarking: Comparative evaluation of Cellpose-SAM, InstanSeg, StarDist, and other tools 6. Spatial disease biology: Ligand–receptor analysis of disease-associated tissue microenvironments We would love to hear how you can use PantheonOS for your research! Got an interesting agent run of your own and want to share? In the Pantheon UI, click Export Bundle (top-right of any chat) to package the full trajectory — chat history, code, figures, report — then submit it here:

PantheonOS allows any biologist to perform complex data analyses of emerging single cell, multi-omics and spatial transcriptomics datasets end to end through AI agent and human collaboration. We are releasing six replays of use cases trajectories. Each "trajectory" is a complete end-to-end run, from prompt to analysis, to figures, and finally to report, and in fully inspectable and reproducible manner. See the six user cases in our PantheonOS Gallery: 1. 3D mouse embryo analysis: Tangram deconvolution and PyVista-based 3D visualization of E6 mouse embryo spatial transcriptomics data 2. 3D human fetal heart analysis: Spatial mapping of heart disease gene patterns using MERFISH data 3. Multi-omics spatial integration: Single cell multi-omics-to-spatial mapping with MOSCOT optimal transport 4. Gene panel design: 1000-plex immune-oncology MERFISH gene panel optimization 5. Cell segmentation benchmarking: Comparative evaluation of Cellpose-SAM, InstanSeg, StarDist, and other tools 6. Spatial disease biology: Ligand–receptor analysis of disease-associated tissue microenvironments We would love to hear how you can use PantheonOS for your research! Got an interesting agent run of your own and want to share? In the Pantheon UI, click Export Bundle (top-right of any chat) to package the full trajectory — chat history, code, figures, report — then submit it here:

evo-devo

13,318 просмотров • 2 месяцев назад

VERY COOL!! Thanks jordan for the tip, I can now test my iOS app on web I asked Claude Code to set up serve-sim, a web-based iOS simulator that can stream the iOS app my Claude Code on VPS built live to me, because it's on some Mac Mini in the cloud without even a GUI (it's headless) I cannot actually try it on the Mac itself! Before Claude would make me a page with screenshots but I had no idea how the app felt, now with this it works This is hosted on the Mac Mini via SSH (it shows localhost but it's a tunnel via SSH to the Mac Mini), bit laggy but nice!

VERY COOL!! Thanks jordan for the tip, I can now test my iOS app on web I asked Claude Code to set up serve-sim, a web-based iOS simulator that can stream the iOS app my Claude Code on VPS built live to me, because it's on some Mac Mini in the cloud without even a GUI (it's headless) I cannot actually try it on the Mac itself! Before Claude would make me a page with screenshots but I had no idea how the app felt, now with this it works This is hosted on the Mac Mini via SSH (it shows localhost but it's a tunnel via SSH to the Mac Mini), bit laggy but nice!

@levelsio

423,642 просмотров • 18 дней назад

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

GeoLibre v1.2.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. One application that runs everywhere: in your web browser, as a native desktop app, on your phone, and inside a Jupyter notebook. No account, no server, no cost. Everything runs locally and your data stays private. This release packs in 35+ pull requests of new capabilities. A few highlights: - Run SQL right in the browser. The SQL Workspace pairs DuckDB Spatial with a new in-browser PostGIS engine (PGlite), so you can query layers, local files, and remote URLs without a server. - A smarter attribute table. Add fields, run a field calculator, and explore your data with a built-in Charts panel (histogram, scatter, bar, line, and box plots). - More ways to add data. OpenStreetMap PBF extracts, Cloud-Optimized NetCDF/HDF via kerchunk, georeferenced video overlays, authenticated 3D Tiles, and a Layer builder for custom overlays. - Better visualization. Heatmap rendering, point clustering, and H3 hexagonal grids for spatial binning. - New analysis and routing. A Directions plugin, plus Spatial Join, Select by Value, and Select by Location vector tools. - Print and share. A print layout composer that exports your map to PNG or PDF. - Work faster. A command palette (Ctrl/Cmd + K), global keyboard shortcuts, and undo/redo for layer and style operations. - Built for everyone. New internationalization framework, an accessibility pass with automated axe checks, an installable offline-capable PWA web build, React error boundaries, and Playwright end-to-end tests. Try the live demo: Star it on GitHub: Docs and roadmap: Release notes: #GIS #OpenSource #Geospatial #MapLibre #WebGIS #DuckDB #GeoLibre

Qiusheng Wu

39,890 просмотров • 1 месяц назад

I love reading books, but I’m always stuck on what to read next. then I vibe coded this website whr, friends can send their fav books they’ve been reading lately The design was inspired by poems from Audre Lorde, the texts come from 4 of her poems: Coal, How Said It Was Simple, Afterimages, and Power. I also wanted to explore the relationship between people and the explosion of info nowadays comment below if u wanna watch the tutorial 👀

I love reading books, but I’m always stuck on what to read next. then I vibe coded this website whr, friends can send their fav books they’ve been reading lately The design was inspired by poems from Audre Lorde, the texts come from 4 of her poems: Coal, How Said It Was Simple, Afterimages, and Power. I also wanted to explore the relationship between people and the explosion of info nowadays comment below if u wanna watch the tutorial 👀

JoySong

124,658 просмотров • 2 месяцев назад

I've been obsessing over Runway Gen-4.5 this past week. I tested it quite extensively, and I noticed a few things that should be fundamental to any video model: 1. Amazing spatial awareness. It just knows what comes next in the scene and renders it perfectly, with the correct distance, geometry, and style. 2. It understands the space and time. For example, how a character interacts with the environment, even if you don't prompt for it: High altitude > Windy. 3. This spatial sense of motion and place makes it look natural and cinematic. Regarding this last point, I've said it many times here on X that Runway needs to get out of the slow-motion era, and in the end, they delivered massively on it. It's just beautiful to watch scenes come to life naturally. Now, we just need sound and 1080p. Cristóbal Valenzuela take your time, we're here.

I've been obsessing over Runway Gen-4.5 this past week. I tested it quite extensively, and I noticed a few things that should be fundamental to any video model: 1. Amazing spatial awareness. It just knows what comes next in the scene and renders it perfectly, with the correct distance, geometry, and style. 2. It understands the space and time. For example, how a character interacts with the environment, even if you don't prompt for it: High altitude > Windy. 3. This spatial sense of motion and place makes it look natural and cinematic. Regarding this last point, I've said it many times here on X that Runway needs to get out of the slow-motion era, and in the end, they delivered massively on it. It's just beautiful to watch scenes come to life naturally. Now, we just need sound and 1080p. Cristóbal Valenzuela take your time, we're here.

Alex Patrascu

16,141 просмотров • 6 месяцев назад

one of the best VR content creators, a former Apple employee, and I met up to explore Spatial Personas on the Vision Pro it was surreal, incredibly fun, and we chatted for over 90 min this video includes some of my takeaways. i'm beyond excited for WWDC now

one of the best VR content creators, a former Apple employee, and I met up to explore Spatial Personas on the Vision Pro it was surreal, incredibly fun, and we chatted for over 90 min this video includes some of my takeaways. i'm beyond excited for WWDC now

Justin Ryan ᯅ

92,805 просмотров • 2 лет назад

Introducing Open MCP Client 🪁 Chat with any MCP server in your own app, just grab a URL from . The team and I vibe coded with Cursor this weekend and built: 1. The first web-based MCP client (link👇) 2. An open-source client you can add into any app How it's built It uses CopilotKit🪁 for the client and interactivity layer, and connects to a 40 line LangGraph ReAct agent that coordinates MCP calls. Hosted on Vercel. Kudos to Suhas Deshpande and Tyler Slaton for hacking and thanks to Harrison Chase for pointers!

Introducing Open MCP Client 🪁 Chat with any MCP server in your own app, just grab a URL from . The team and I vibe coded with Cursor this weekend and built: 1. The first web-based MCP client (link👇) 2. An open-source client you can add into any app How it's built It uses CopilotKit🪁 for the client and interactivity layer, and connects to a 40 line LangGraph ReAct agent that coordinates MCP calls. Hosted on Vercel. Kudos to Suhas Deshpande and Tyler Slaton for hacking and thanks to Harrison Chase for pointers!

Atai Barkai

299,711 просмотров • 1 год назад

A sneak peek at the upcoming QGIS OpenGeoAgent plugin! Run geospatial analysis and visualization using natural language, powered by over 480 geoprocessing tools from WhiteboxTools. This brings a new level of accessibility to advanced spatial workflows directly inside QGIS, making it easier to explore, analyze, and visualize data without writing code. Explore the projects: • GeoAgent: • whitebox-python: • WhiteboxTools: Huge credit to Dr. John Lindsay Whitebox Geospatial for developing WhiteboxTools! #QGIS #geospatial #opensource

A sneak peek at the upcoming QGIS OpenGeoAgent plugin! Run geospatial analysis and visualization using natural language, powered by over 480 geoprocessing tools from WhiteboxTools. This brings a new level of accessibility to advanced spatial workflows directly inside QGIS, making it easier to explore, analyze, and visualize data without writing code. Explore the projects: • GeoAgent: • whitebox-python: • WhiteboxTools: Huge credit to Dr. John Lindsay Whitebox Geospatial for developing WhiteboxTools! #QGIS #geospatial #opensource

Qiusheng Wu

27,995 просмотров • 3 месяцев назад

✉️ Vibe coded a POP3 and SMTP text-based email app for that uses the dial-up modem to check and send emails and it worked on the first try It's internal email only so web@pieter.com to web@pieter.com and the same email box as on Also added chirp sounds to the modem so you can actually hear the TCP/IP packets being sent, when you click a link on a page you hear TIK-TAK-TIK-TAK-TIK (requesting the URL) then TRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTRTRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTRTRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTRTRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTR (the page being sent to you)

✉️ Vibe coded a POP3 and SMTP text-based email app for that uses the dial-up modem to check and send emails and it worked on the first try It's internal email only so [email protected] to [email protected] and the same email box as on Also added chirp sounds to the modem so you can actually hear the TCP/IP packets being sent, when you click a link on a page you hear TIK-TAK-TIK-TAK-TIK (requesting the URL) then TRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTRTRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTRTRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTRTRRRRTRRTRRTRTTRTRTRTRTRTRRTRTRRTRTRRTR (the page being sent to you)

@levelsio

51,757 просмотров • 3 месяцев назад

Ever vibe-coded a flawless app locally in an afternoon, only to watch it completely fall apart the second you try connecting it to real data? You’re not alone. 95% of AI prototypes never survive the validation chasm. Next week on Emergent, we're diving into the real reason your AI apps stall at work—and how to fix it. 🛠️ #DevCommunity #VibeCoding

Ever vibe-coded a flawless app locally in an afternoon, only to watch it completely fall apart the second you try connecting it to real data? You’re not alone. 95% of AI prototypes never survive the validation chasm. Next week on Emergent, we're diving into the real reason your AI apps stall at work—and how to fix it. 🛠️ #DevCommunity #VibeCoding

Google for Developers

19,897 просмотров • 11 дней назад

Scaling 3D scene data is a long-standing challenge in scene understanding, spatial reasoning, and robotics. Since scanning, reconstruction, and labeling are so labor-intensive, data scarcity has remained a major bottleneck. 🛑 To solve this, we propose SceneVerse++: Lifting Unlabeled Internet-level Data for 3D Scene Understanding (CVPR 2026). By reconstructing internet videos and annotating 3D scenes automatically, we’ve created a massive real-world dataset for end-to-end understanding. 🌐📐 SceneVerse++ makes it easy to scale "in-the-wild" 3D scenes toward more capable spatial reasoning systems. This significantly promotes progress in 3D VQA, visual navigation, and broader tasks in Embodied AI and Robotics. 🤖🦾 We are fully open-sourced! Check out the paper, code, and data here: 🌐 Project: 📄 Paper: 📊 Dataset: Code:

Scaling 3D scene data is a long-standing challenge in scene understanding, spatial reasoning, and robotics. Since scanning, reconstruction, and labeling are so labor-intensive, data scarcity has remained a major bottleneck. 🛑 To solve this, we propose SceneVerse++: Lifting Unlabeled Internet-level Data for 3D Scene Understanding (CVPR 2026). By reconstructing internet videos and annotating 3D scenes automatically, we’ve created a massive real-world dataset for end-to-end understanding. 🌐📐 SceneVerse++ makes it easy to scale "in-the-wild" 3D scenes toward more capable spatial reasoning systems. This significantly promotes progress in 3D VQA, visual navigation, and broader tasks in Embodied AI and Robotics. 🤖🦾 We are fully open-sourced! Check out the paper, code, and data here: 🌐 Project: 📄 Paper: 📊 Dataset: Code:

Siyuan Huang

12,612 просмотров • 3 месяцев назад

Go2NFT just activated AI. Game on! 🔥 The AI Fitting Room is here — try on tokenized fashion and see how it looks on you. 👗🤖 Powered by our custom-built AI. Designed to scale brands. Built to grow Go2NFT. 📲 Download the Go2NFT app. Explore the future. Own your look. Product tokenization — next level. 💪🏻🚀

Go2NFT just activated AI. Game on! 🔥 The AI Fitting Room is here — try on tokenized fashion and see how it looks on you. 👗🤖 Powered by our custom-built AI. Designed to scale brands. Built to grow Go2NFT. 📲 Download the Go2NFT app. Explore the future. Own your look. Product tokenization — next level. 💪🏻🚀

Go2NFT

249,193 просмотров • 1 год назад

see the world in a whole new way with the Apple Vision Pro introducing Spatial Earth, it’s smooth and available now on the AppStore i used it to check out my old home in Brazil, travel for later this year, as well as some bucket list destinations

see the world in a whole new way with the Apple Vision Pro introducing Spatial Earth, it’s smooth and available now on the AppStore i used it to check out my old home in Brazil, travel for later this year, as well as some bucket list destinations

Justin Ryan ᯅ

50,493 просмотров • 2 лет назад

Announcing Superblocks on Snowflake: Secure Enterprise Vibe Coding on the AI Data Cloud This couldn't be more timely. Vibe coding is exploding inside the enterprise. It’s also becoming the fastest path to a data breach. Every CEO is trying to accelerate adoption of vibe coding for business users automate, without blocking on engineering. Every VP of Data and CIO is trying to figure out how to lock down their data, harden their permissions, and gain centralized visibility. That’s exactly what this partnership unlocks. Superblocks becomes the enterprise platform for governed vibe coding across business teams, deeply embedded within Snowflake: > Snowflake Postgres becomes your secure vibe coding database. Superblocks spins it up in every app for fast writes and net new operational workflow data >Snowflake Cortex becomes the inference engine for Superblocks. Your prompts and vibe coded AI features run within your trusted security perimeter >Snowflake Warehouse governance is enforced. AI apps use federated token passthrough so your existing row level access policies, dynamic data masking, tag-based-access controls are respected “With Superblocks on Snowflake, any business team can safely build AI applications governed on their Snowflake data. It’s a dream come true.” -Unmesh Jagtap, Director of Product, Snowflake Now enterprises can stop playing whack-a-mole, and move your organization past the AI prototype graveyard. If you’re a Snowflake customer, book a demo (link in comments) Thanks to the Snowflake team for the partnership: Christian Kleinerman, Vivek Raghunathan, Bala Kasiviswanathan, Unmesh Jagtap, and Myles Borins for helping shape how the industry democratizes governed AI app development while centralizing control on the AI Data Cloud.

Announcing Superblocks on Snowflake: Secure Enterprise Vibe Coding on the AI Data Cloud This couldn't be more timely. Vibe coding is exploding inside the enterprise. It’s also becoming the fastest path to a data breach. Every CEO is trying to accelerate adoption of vibe coding for business users automate, without blocking on engineering. Every VP of Data and CIO is trying to figure out how to lock down their data, harden their permissions, and gain centralized visibility. That’s exactly what this partnership unlocks. Superblocks becomes the enterprise platform for governed vibe coding across business teams, deeply embedded within Snowflake: > Snowflake Postgres becomes your secure vibe coding database. Superblocks spins it up in every app for fast writes and net new operational workflow data >Snowflake Cortex becomes the inference engine for Superblocks. Your prompts and vibe coded AI features run within your trusted security perimeter >Snowflake Warehouse governance is enforced. AI apps use federated token passthrough so your existing row level access policies, dynamic data masking, tag-based-access controls are respected “With Superblocks on Snowflake, any business team can safely build AI applications governed on their Snowflake data. It’s a dream come true.” -Unmesh Jagtap, Director of Product, Snowflake Now enterprises can stop playing whack-a-mole, and move your organization past the AI prototype graveyard. If you’re a Snowflake customer, book a demo (link in comments) Thanks to the Snowflake team for the partnership: Christian Kleinerman, Vivek Raghunathan, Bala Kasiviswanathan, Unmesh Jagtap, and Myles Borins for helping shape how the industry democratizes governed AI app development while centralizing control on the AI Data Cloud.

Brad Menezes

13,098 просмотров • 3 месяцев назад

I vibe coded a terminal where you bet on people getting liquidated next (Skip to the end of the video for a nice combo of events, sound ON) > Trades and Liquidations play music > Extra sounds for Event combos > Bet on which side gets liquidated next (long/short) > Bet on events like "$500K+ liquidation in the next 30 minutes?" It takes realtime data from Binance and Hyperliquid BTC-Perps and I made it so that it is a highly addictive experience Will never launch it but I fucking loved making it

I vibe coded a terminal where you bet on people getting liquidated next (Skip to the end of the video for a nice combo of events, sound ON) > Trades and Liquidations play music > Extra sounds for Event combos > Bet on which side gets liquidated next (long/short) > Bet on events like "$500K+ liquidation in the next 30 minutes?" It takes realtime data from Binance and Hyperliquid BTC-Perps and I made it so that it is a highly addictive experience Will never launch it but I fucking loved making it

gum

22,819 просмотров • 4 месяцев назад

The Vana App is here on iOS and Android. The first blockchain app that lets you reclaim your data, take it anywhere, and turn it into capital. Your VIBE is unique, irreplaceable, valuable. For the first time, it’s truly yours. Exclusive to the community. Get invited by a member or join the waitlist →

The Vana App is here on iOS and Android. The first blockchain app that lets you reclaim your data, take it anywhere, and turn it into capital. Your VIBE is unique, irreplaceable, valuable. For the first time, it’s truly yours. Exclusive to the community. Get invited by a member or join the waitlist →

vana

1,341,022 просмотров • 10 месяцев назад