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๐Ÿง‘โ€๐Ÿš€ Introducing...Mission Commander ๐Ÿง‘โ€๐Ÿš€ Your new guide to Data Universe, through an #SN1 Apex-powered chat interface which can now: ๐Ÿ’ก Identify the optimal hashtags and data sources for your query ๐Ÿงฉ Automatically populate your query with the data labels โšก Suggest improvements and extensions to your query Real-time social...

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6 ๆก่ฏ„่ฎบ

Macrocosmos ็š„ๅคดๅƒ
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Tell Mission Commander what data you want, and it'll fill in the gaps ๐Ÿ’ฅ It'll even name your project for you ๐ŸŒŸ You can then refine your datasets by manually deleting topics, or by getting Mission Commander to make changes โœ…

Macrocosmos ็š„ๅคดๅƒ
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Ask Mission Commander for feedback on your queries ๐Ÿ’ก Enter your subjects - Mission Commander will review them and offer suggestions. It doesn't just make the process easier, it actively helps refine your tasks ๐Ÿฆพ

Macrocosmos ็š„ๅคดๅƒ
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Mission Commander is powered by SN1, Apex - our text prompting and generation subnet ๐Ÿ’ฌ Giving you intelligent, forward-thinking and meaningful results โšก

Macrocosmos ็š„ๅคดๅƒ
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๐Ÿ’ฅ Try it out now ๐Ÿ’ฅ Tell us what you think over at our Discord and Telegram ๐Ÿ—ฃ๏ธ

Wonderchat ็š„ๅคดๅƒ
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Automate up to 70% of your customer support today. Save time and help your users find answers quickly. Try now at

TAO MAN ็š„ๅคดๅƒ
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I'm a holder and I delegated a lot of TAO. My opinion is to not emphasize the role of Bittensor as an American foundation because many people are behaving an adverse feeling against Americans especially in Europe. It would be better to move to a neutral country like Switzerland

็›ธๅ…ณ่ง†้ข‘

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: โ†ณ Your data stays in place. No ETL pipelines or data duplication โ†ณ Query Postgres, MongoDB, REST APIs, and more using consistent SQL โ†ณ JOIN across different sources in real-time with a unified interface โ†ณ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay ๐Ÿš€

65,672 ๆฌก่ง‚็œ‹ โ€ข 7 ไธชๆœˆๅ‰

Quick demo of Zeroโ€™s new background queries. Zeroโ€™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. Itโ€™s important to realize Zero isnโ€™t really a cache. Itโ€™s a replica. Itโ€™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 โ€œbackโ€. 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

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