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Sync engines enable instantly responsive UI. But the tradeoff is usually slow startup because all data must be pre-loaded. Zero's query-driven sync enables precise control over when data syncs. To demonstrate, we scaled our "zbugs" demo up to 2.5M rows. Introducing Gigabugs:

Aaron Boodman

9,566 subscribers

48,856 views • 8 months ago •via X (Twitter)

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Quick demo of Zero’s new background queries. Zero’s sync is query-based. Rather than specifying what data you want using rules or some other separate system, you just use queries. Right inside the client app, you do a query using a full sql-style language. You get filters, subqueries , limits, etc. Zero syncs the data backing these queries to the client. It’s important to realize Zero isn’t really a cache. It’s a replica. It’s eagerly replicating a precise snapshot of a slice of your database - the slice covered by the queries you have open. So there is never stale data in Zero. When you close a query we delete the rows uniquely returned by that query because we can no longer keep them up to date. Of course that kind of sucks for the common case of doing a query, navigating, then pressing “back”. Ideally we want that back nav to be fast. To address this Zero 0.17 adds background queries. You can add a ttl to a query and it will keep running and syncing in the background. This is much different than normal caching because this data stays up to date. If you make the same query again, the results will be *instantly* available *and already up to date with server*. If you make a different query the data from the background query is used client-side to answer the new query instantly if possible. This all happens completely automatically. Just by adding the ttl flag.

Quick demo of Zero’s new background queries. Zero’s sync is query-based. Rather than specifying what data you want using rules or some other separate system, you just use queries. Right inside the client app, you do a query using a full sql-style language. You get filters, subqueries , limits, etc. Zero syncs the data backing these queries to the client. It’s important to realize Zero isn’t really a cache. It’s a replica. It’s eagerly replicating a precise snapshot of a slice of your database - the slice covered by the queries you have open. So there is never stale data in Zero. When you close a query we delete the rows uniquely returned by that query because we can no longer keep them up to date. Of course that kind of sucks for the common case of doing a query, navigating, then pressing “back”. Ideally we want that back nav to be fast. To address this Zero 0.17 adds background queries. You can add a ttl to a query and it will keep running and syncing in the background. This is much different than normal caching because this data stays up to date. If you make the same query again, the results will be instantly available and already up to date with server. If you make a different query the data from the background query is used client-side to answer the new query instantly if possible. This all happens completely automatically. Just by adding the ttl flag.

Aaron Boodman

18,808 views • 1 year ago

🥁 Sync any data source. Whatever context you need can now live in Notion. Our new database sync (powered by Workers) runs on our infrastructure and lets you sync any data source with an API into a Notion database. Sync customer data from Salesforce to build detailed reports. Or connect Strava and Spotify data to curate the perfect running playlist.

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Discover how AI query engines enable enterprises to turn data into actionable insights for more accurate AI-powered applications. 📖 Read the blog to learn more:

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Introducing Electric Agents! Agents are not compute. Agents are data. Multi-agent is a sync problem. Electric Agents is the first agent platform built on sync. Use it to build scalable, collaborative, long-lived multi-agent systems: 🧵👇

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Electric

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New concept! With Data Binding! Highly visual design + strong logic + real data in Rive . Emotional + functional. All size and price values sync + transform live in Rive! ✨ Big thanks to Uliana Kalashnikova for setting up data binding! Workflow: AI images → PS → Rive (animation + logic) → data binding → generated sound Try it: More complex, data-driven projects coming soon!

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Episode #15 is out. Tuomas Artman (Tuomas Artman) on building Linear, sync engines, and rethinking the startup MVP

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Announcement: GPU Rentals with Third-Party Storage Integration Today we introduce a new feature for our GPU rental service: one-click integration with third-party storage services. This enhancement allows users to quickly sync and backup data. Currently, we support AWS and Google storage services. Key Features: • Easy Integration: One-click connection to third-party storage. • Regular Syncing: Ensures your data is always secure. • Flexible Sync Modes: Choose between adding new data or overwriting existing data to suit your needs. A detailed operation video below is available to guide you through the process. Ready to experience the new feature? Head over to our website and try the latest feature today:

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64,645 views • 2 years ago

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63,158 views • 1 year ago

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107,056 views • 7 months ago

Kling 2.6 Motion Control is amazing... You get full control over 30 seconds of precise motion, body movement, expressions, lip sync, and gestures.

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When building a UI on Solana the data you care about should just be in your UI as soon as it happens on chain. Why do we force devs to make RPC calls from the frontend to fetch data? Or index it themselves off-chain? Why isn't all the data just in the app immediately? That is what we HyperTek are tackling for the Colosseum hackathon

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Love this responsive UI made by Dimitri Novikov 🇺🇦 with Rive. Not a mockup or a prototype, this is a production-ready asset that can be connected to real data and run anywhere (websites, mobile apps, game engines, custom platforms — anywhere).

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19,442 views • 1 year ago

“we’ll have to have some sort of Universal Basic Income (UBI)” Elon Musk But who is going to pay? We believe our data! HUDI = Human Data Income We are building a Universal Basic Income based on our data. Our data is our asset, the new oil, but we have no transparency nor profit from it. Help us build the Human Data Income: we made great progress, but it’s just the beginning!

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11,400,277 views • 2 years ago

“By leveraging the Ontology and AIP, Data42 has been able to combine tens of billions of rows of data from over 700 million patient lives as well as 3000 clinical trials encompassing about a million patients. This data is now instantly available — and all within a secure and well governed environment.” At AIPCon 8, Birgit Schoeberl, Head of Data42 at Novartis, showcases Chat RWE — an application that uses the Ontology to democratize access to data and enable rapid healthcare decision making.

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