Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

We raised $4.1M for this moment: introducing Structify Flows. It's the first “vibe data engineering” platform that lets you do enterprise-grade data work in minutes: With Structify, just describe what you want in plain English. No code. No hiring. No backlogs.

Alex Reichenbach

1,313 subscribers

1,103,777 views • 9 months ago •via X (Twitter)

Science & Technology Education Finance

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

After months of building, Ronak Gandhi and I are proud to launch Structify. We started Structify so that companies can get human quality data from anywhere, for any use case. I’m excited to show you below.

After months of building, Ronak Gandhi and I are proud to launch Structify. We started Structify so that companies can get human quality data from anywhere, for any use case. I’m excited to show you below.

Alex Reichenbach

111,723 views • 2 years ago

What if you and your agent had all the data that always stays fresh? Structured, on demand, never stale. Introducing BigSet. Describe the data you need in plain English → get a structured dataset built from the live web, that refreshes regularly. It's live and open-source.

What if you and your agent had all the data that always stays fresh? Structured, on demand, never stale. Introducing BigSet. Describe the data you need in plain English → get a structured dataset built from the live web, that refreshes regularly. It's live and open-source.

TinyFish

209,804 views • 1 month ago

it’s crazy.. you don’t need to code to scrape websites anymore. Chat4data lets you type what you need in plain English and it grabs the data fast. here’s how to do it in 30 seconds:

it’s crazy.. you don’t need to code to scrape websites anymore. Chat4data lets you type what you need in plain English and it grabs the data fast. here’s how to do it in 30 seconds:

Nelly;

57,906 views • 11 months ago

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 By the time your agent retrieves the data, it's already outdated.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: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ 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!

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: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ 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 🚀

65,672 views • 7 months ago

Introducing Magica, the first ever AI superagent for end-to-end task execution No skills required. No prompt engineering. No tutorials. No "which model should I pick?" You describe what you want. Magica handles the rest.

Introducing Magica, the first ever AI superagent for end-to-end task execution No skills required. No prompt engineering. No tutorials. No "which model should I pick?" You describe what you want. Magica handles the rest.

Magica (formerly Galaxy.ai)

121,408 views • 1 month ago

Introducing DELPHI ACTIONS Your digital clone can now take automated actions based on user behavior. Just describe what you want in plain language, and boom - our system builds the flows for you.

Introducing DELPHI ACTIONS Your digital clone can now take automated actions based on user behavior. Just describe what you want in plain language, and boom - our system builds the flows for you.

Dara

51,149 views • 1 year ago

Introducing crypto's first Algo Builder Agent. QuantFi has finally arraived. Tell the agent to build a trading agent in 10 minutes. No code. No finding data feeds. Free credits. live. → 686 data points → Agentic algo builder → Auto backtest & deploy No more trading on a vibe and a prayer.

Introducing crypto's first Algo Builder Agent. QuantFi has finally arraived. Tell the agent to build a trading agent in 10 minutes. No code. No finding data feeds. Free credits. live. → 686 data points → Agentic algo builder → Auto backtest & deploy No more trading on a vibe and a prayer.

MOONBERG

54,752 views • 1 month ago

I just vibe coded a fully playable game with Verse 8 | Why Code, Just Verse 8 in minutes. Huge thanks to Rush for building it with me! > No engine. > No setup. > No infra. You just describe what you want… and it builds, deploys, and runs right away. This isn’t a demo or mockup. It’s a real game you can play right now. This is what vibe coding looks like when it actually works.

I just vibe coded a fully playable game with Verse 8 | Why Code, Just Verse 8 in minutes. Huge thanks to Rush for building it with me! > No engine. > No setup. > No infra. You just describe what you want… and it builds, deploys, and runs right away. This isn’t a demo or mockup. It’s a real game you can play right now. This is what vibe coding looks like when it actually works.

Param

25,600 views • 5 months ago

Introducing: Data API The latest step in our data-first roadmap: programmatic access to Blockworks Data, anywhere you need it. No more CSV babysitting. No more unreliable sources. Just clean, validated onchain data straight into your stack. Join the waitlist 👇

Introducing: Data API The latest step in our data-first roadmap: programmatic access to Blockworks Data, anywhere you need it. No more CSV babysitting. No more unreliable sources. Just clean, validated onchain data straight into your stack. Join the waitlist 👇

Blockworks Research

60,054 views • 10 months ago

Today we release our new platform, Access Intelligence 1⃣Monetize your content or data for agent consumption 2⃣Deploy a data powered agent in under 5 minutes — no code 3⃣Monetize useful agents 🧵

Today we release our new platform, Access Intelligence 1⃣Monetize your content or data for agent consumption 2⃣Deploy a data powered agent in under 5 minutes — no code 3⃣Monetize useful agents 🧵

Access Intelligence

39,162 views • 1 year ago

Introducing: The StartClaw Marketplace Build AI agents. Sell them. Make money. I just built one in 30 seconds and listed it for $50. No code. No complexity. Just describe what you want. This is how people will make passive income in 2026. Watch how easy it is:

Introducing: The StartClaw Marketplace Build AI agents. Sell them. Make money. I just built one in 30 seconds and listed it for $50. No code. No complexity. Just describe what you want. This is how people will make passive income in 2026. Watch how easy it is:

Idan Mann

33,856 views • 4 months ago

Big data, small business? No problem! 💪 The Futurum Group’s Keith Kirkpatrick & Epicor's John Carrico explain how the Grow Data Platform is bringing enterprise-grade AI and analytics to SMBs. #Epicor #SMB #Data #AI

Big data, small business? No problem! 💪 The Futurum Group’s Keith Kirkpatrick & Epicor's John Carrico explain how the Grow Data Platform is bringing enterprise-grade AI and analytics to SMBs. #Epicor #SMB #Data #AI

Six Five Media

63,327 views • 1 year ago

Introducing PivotTableJS 🚀 𝐏𝐢𝐯𝐨𝐭𝐓𝐚𝐛𝐥𝐞𝐉𝐒 lets you interactively analyse your data in Jupyter Notebooks without any code 🔥 Check this out👇

Introducing PivotTableJS 🚀 𝐏𝐢𝐯𝐨𝐭𝐓𝐚𝐛𝐥𝐞𝐉𝐒 lets you interactively analyse your data in Jupyter Notebooks without any code 🔥 Check this out👇

Akshay 🚀

221,610 views • 3 years ago

Introducing Dreamspace, the first vibe coding canvas for crypto’s creatives. Ship your dream app in minutes and monetize it onchain with no code. Powered by Microsoft AI, , and @Base. 🧵

Introducing Dreamspace, the first vibe coding canvas for crypto’s creatives. Ship your dream app in minutes and monetize it onchain with no code. Powered by Microsoft AI, , and @Base. 🧵

Dreamspace

319,195 views • 10 months ago

Saying "NO AI data centers" won't end in victory. They'll just build them anyways. If you truly want to make a difference, you need to say, "No data centers, UNLESS..." Turn it into a negotiation instead of a war, so we can fight over what really matters. No data centers UNLESS they're not draining our energy. In fact, you could say, "you want 10 gigawatts of power? Ok, YOU pay for it. And because we’re allowing you to do it, you have to produce 15 gigawatts of power and give the excess to the grid." It's a win-win and YOU control the terms.

Saying "NO AI data centers" won't end in victory. They'll just build them anyways. If you truly want to make a difference, you need to say, "No data centers, UNLESS..." Turn it into a negotiation instead of a war, so we can fight over what really matters. No data centers UNLESS they're not draining our energy. In fact, you could say, "you want 10 gigawatts of power? Ok, YOU pay for it. And because we’re allowing you to do it, you have to produce 15 gigawatts of power and give the excess to the grid." It's a win-win and YOU control the terms.

Glenn Beck

70,537 views • 27 days ago

Introducing Mocha ✨ We're incredibly excited to launch the absolute best way to build full-stack web apps. No code. No templates. Just describe what you want and watch it come to life.

Introducing Mocha ✨ We're incredibly excited to launch the absolute best way to build full-stack web apps. No code. No templates. Just describe what you want and watch it come to life.

Nicholas Charriere

88,146 views • 1 year ago

Your data is only as valuable as what you build on top of it. We now integrate with Databricks to let enterprise teams vibe code living applications and deploy them directly into Databricks Apps: with governance, security, and observability built in. 👷🏼‍♂️ More builders. 🛠️ Better tools. 🎮 No compromises on control.

Your data is only as valuable as what you build on top of it. We now integrate with Databricks to let enterprise teams vibe code living applications and deploy them directly into Databricks Apps: with governance, security, and observability built in. 👷🏼‍♂️ More builders. 🛠️ Better tools. 🎮 No compromises on control.

Replit ⠕

41,750 views • 4 months ago

Introducing "codebase to course", a skill that turns any codebase into an interactive coding course So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes... I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later Link below

Introducing "codebase to course", a skill that turns any codebase into an interactive coding course So that you can learn coding through your own projects, complete with visualization, plain-English code translations, metaphors, even quizzes... I vibe code a lot but have no idea how the code works under the hood. This is how I think "learning to code" should be in the AI age: Build first, learn later Link below

Zara Zhang

181,137 views • 3 months ago

Getting a big tech data engineer job in 2016: - do you know SQL? - yes - here’s $500k Getting a big tech data engineer job in 2024: - do you know Spark, Kafka, Iceberg? - yes - did you shake hands with Bill Inmon when he invented the data warehouse? - no - rejected and ghosted Here’s why! Follow to stay up to date on data engineering!

Getting a big tech data engineer job in 2016: - do you know SQL? - yes - here’s $500k Getting a big tech data engineer job in 2024: - do you know Spark, Kafka, Iceberg? - yes - did you shake hands with Bill Inmon when he invented the data warehouse? - no - rejected and ghosted Here’s why! Follow to stay up to date on data engineering!

Zach Wilson

43,547 views • 1 year ago

Introducing Kata Every trader has indicators in their head that don't exist on any platform. Kata changes that. Describe your setup → Kata writes it in kScript → it's on your chart. No code, no hassle. Just talk to it. One prompt. >Create a VWAP suite

Introducing Kata Every trader has indicators in their head that don't exist on any platform. Kata changes that. Describe your setup → Kata writes it in kScript → it's on your chart. No code, no hassle. Just talk to it. One prompt. >Create a VWAP suite

Kiyotaka

15,002 views • 2 months ago