Загрузка видео...

Не удалось загрузить видео

На главную

Data requests shouldn’t block decisions. This template fixes that. Your data team approves the definitions once, then anyone can ask in plain language and get a live dashboard. Remix it:

Lovable's profile picture

Lovable

157,293 subscribers

14,955 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 21

Фото профиля Lazar 50 Jovanovic
Lazar 50 Jovanovic1 месяц назад

There isn't a single business in the world that doesn't need this app. Trust me. I use this absolutely every day for every little thing that I want to know.

Фото профиля Lovable
Lovable1 месяц назад

🚀

Фото профиля Creative Owls 🫟
Creative Owls 🫟1 месяц назад

⭐️⭐️⭐️⭐️⭐️

Фото профиля Lovable
Lovable1 месяц назад

🙌

Фото профиля Ella Tech & Tool
Ella Tech & Tool1 месяц назад

Love this. Self-serve data finally works.

Фото профиля Lovable
Lovable1 месяц назад

@ReenaTech0 🙌👀

Фото профиля Genius💡💹🧲 🤖
Genius💡💹🧲 🤖1 месяц назад

Love seeing data become accessible without waiting on another approval chain

Фото профиля Lovable
Lovable1 месяц назад

We agree🫶

Фото профиля Sani Ai Tech
Sani Ai Tech1 месяц назад

Great solution making data access faster and more collaborative

Фото профиля Lovable
Lovable1 месяц назад

🙌

Фото профиля AI Mastery Guide
AI Mastery Guide1 месяц назад

Plain language dashboards could save data teams so much back and forth.

Фото профиля Lovable
Lovable1 месяц назад

Exactly

Фото профиля AI Mastery Guide
AI Mastery Guide1 месяц назад

nice

Фото профиля Yasamin
Yasamin1 месяц назад

All the corporate companies who take 20,000 hours to approve things and share data around would benefit massively from this

Фото профиля Chris Asante
Chris Asante1 месяц назад

CampusVerify is live. I built it to make student research easier: verified-only surveys, targeted reach, clean exports, and real responses from real students. It’s made for thesis season and campus projects. Link: Thank you @Lovable

Фото профиля Elara AI
Elara AI1 месяц назад

Approve definitions once then ask data in plain English

Фото профиля Gautam Sriram
Gautam Sriram1 месяц назад

Lovable its know for its video flow, why is it static now?

Фото профиля Aria Tech
Aria Tech1 месяц назад

This solves the bottleneck we all hit with dashboards

Фото профиля Lovable
Lovable1 месяц назад

@AriaTechCollab We love to hear that

Фото профиля Khaled
Khaled1 месяц назад

Yeah .. no

Фото профиля мoнɒммɒα
мoнɒммɒα1 месяц назад

Why isn't there a discount for topping up the balance? 🥺

Похожие видео

Introducing Slackforce Surfaces. Ask Slackbot for a report, dashboard, poll, charts, and more, and get a live, interactive interface your team can collaborate on, built from your own Salesforce data, context, and connected systems, right inside Slack. See it at Dreamforce. #DF26
2:02

Introducing Slackforce Surfaces. Ask Slackbot for a report, dashboard, poll, charts, and more, and get a live, interactive interface your team can collaborate on, built from your own Salesforce data, context, and connected systems, right inside Slack. See it at Dreamforce. #DF26

Slack

15,488 просмотров • 22 дней назад

You can now tag Lovable in Slack. In a thread or DM, ask Lovable to build a new app, ship a change, or get quick answers about about your projects and data.
0:30

You can now tag Lovable in Slack. In a thread or DM, ask Lovable to build a new app, ship a change, or get quick answers about about your projects and data.

Lovable

429,903 просмотров • 1 месяц назад

3D scenes, built locally. Describe what you want in plain language. Edge0 can generate a structured 3D scene, then modify and refine it on your phone or PC. No project data leaves the device.
0:27

3D scenes, built locally. Describe what you want in plain language. Edge0 can generate a structured 3D scene, then modify and refine it on your phone or PC. No project data leaves the device.

Samuel Zeng

21,642 просмотров • 24 дней назад

Making Data and AI Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends.
0:35

Making Data and AI Lovable. Lovable now integrates with Databricks, providing a natural language interface that allows anyone—regardless of technical skills—to build live data apps can read and write data stored in Databricks. Bridge the gap between complex data engineering and beautiful, functional front-ends.

Databricks

34,315 просмотров • 5 месяцев назад

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.
1:23

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

212,623 просмотров • 4 месяцев назад

i wish i could just upload a CSV and it would automatically create a dashboard so we built this today we're launching graphed .com graphed is an AI data analytics and dashboard generator upload data into Graphed and it's gonna one shot generate a dashboard you can chat with the entire dashboard to make changes and you can click into the graph and chat with it to make updates everything you create in Graphed can easily be shared with your team by sending a link or you can download a screenshot and drop it into a Slack channel or add it to a presentation the Graphed source data can either be a CSV or a data integration data integrations allow you to create live dashboards that are constantly updating in the background we're launching with Google Analytics 4 as our first data integration but we have Shopify, Facebook ads, Google Ads, MongoDB, and hundreds more are on our product roadmap you can sign up for free at graphed .com and if you want a 40% discount code that will only be available during launch comment "graphed" below
0:52

i wish i could just upload a CSV and it would automatically create a dashboard so we built this today we're launching graphed .com graphed is an AI data analytics and dashboard generator upload data into Graphed and it's gonna one shot generate a dashboard you can chat with the entire dashboard to make changes and you can click into the graph and chat with it to make updates everything you create in Graphed can easily be shared with your team by sending a link or you can download a screenshot and drop it into a Slack channel or add it to a presentation the Graphed source data can either be a CSV or a data integration data integrations allow you to create live dashboards that are constantly updating in the background we're launching with Google Analytics 4 as our first data integration but we have Shopify, Facebook ads, Google Ads, MongoDB, and hundreds more are on our product roadmap you can sign up for free at graphed .com and if you want a 40% discount code that will only be available during launch comment "graphed" below

Cody Schneider

47,333 просмотров • 1 год назад

This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI Data Science Workflow and Data Loading 02:10 Data Wrangling and Cleaning 03:33 Data Visualization Insights & Plotting 04:08 Feature Engineering 05:00 Live 1-Hour Workshop 05:44 AI Data Science Team Python Library 🔗 AI Data Science Team On GitHub (Give it a Star) 🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):
7:04

This guy built an entire AI data science team in Python. Then open-sourced (100% free). It automates data science workflows with AI, including data loading, cleaning, exploratory analysis, and feature engineering. And it tracks each step in a 100% reproducible pipeline. 00:00 Project Overview 01:32 Diving into the AI Data Science Workflow and Data Loading 02:10 Data Wrangling and Cleaning 03:33 Data Visualization Insights & Plotting 04:08 Feature Engineering 05:00 Live 1-Hour Workshop 05:44 AI Data Science Team Python Library 🔗 AI Data Science Team On GitHub (Give it a Star) 🔗 Join My Next Live 1-Hour Agentic AI Workshop (Free):

Matt Dancho (Business Science)

85,425 просмотров • 9 месяцев назад

Without ever leaving Databricks, you can search the web and pull live, structured data into your tables in plain english by using Genie to call Nimble. Step 1: Search the web and structure the data ⬇️
0:31

Without ever leaving Databricks, you can search the web and pull live, structured data into your tables in plain english by using Genie to call Nimble. Step 1: Search the web and structure the data ⬇️

Nimble

51,119 просмотров • 3 месяцев назад

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.
0:43

ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

Aaron Levie

57,745 просмотров • 1 год назад

DANGER: PROOF THAT FLOCK CAMERAS ARE EASY TO HACK For ANYONE With A Simple Search Engine! ANYONE can get your data and personal activity!
1:52

DANGER: PROOF THAT FLOCK CAMERAS ARE EASY TO HACK For ANYONE With A Simple Search Engine! ANYONE can get your data and personal activity!

DR JANE RUBY™️

21,137 просмотров • 5 месяцев назад

Twelve years ago we asked the question: how can we put public data "on wheels"? Datawheel was born from vision that data alone doesn't get far. It needs vehicles to reach hearts and minds. Vehicles that make data easy to find, explore, and understand. Today, Datawheel turns twelve. In these twelve years, we have built dozens of solutions that are helping define the state of the art in public data distribution. Today we celebrate this journey. A journey with a great team and amazing clients. The journey to make public data all it can be. are some of the tools defining all that public data can be. Thank you!!!
1:00

Twelve years ago we asked the question: how can we put public data "on wheels"? Datawheel was born from vision that data alone doesn't get far. It needs vehicles to reach hearts and minds. Vehicles that make data easy to find, explore, and understand. Today, Datawheel turns twelve. In these twelve years, we have built dozens of solutions that are helping define the state of the art in public data distribution. Today we celebrate this journey. A journey with a great team and amazing clients. The journey to make public data all it can be. are some of the tools defining all that public data can be. Thank you!!!

César A. Hidalgo

12,933 просмотров • 1 год назад

We just launched Quant IQ 🧠 an AI assistant built directly into Quant Data. It sees what you see 👀. Ask "What does the 0DTE GEX look like for SPY?" and it answers using the live data on your screen. You can describe what you want in plain English, and it does it: "Add a SPX GEX Heat Map to my page." Done. "Filter the order flow table for Mag 7 tickers and OTM contracts expiring within 90 days." Done. Quant IQ is included with every dashboard subscription. This is the first version. It only gets smarter from here.
0:40

We just launched Quant IQ 🧠 an AI assistant built directly into Quant Data. It sees what you see 👀. Ask "What does the 0DTE GEX look like for SPY?" and it answers using the live data on your screen. You can describe what you want in plain English, and it does it: "Add a SPX GEX Heat Map to my page." Done. "Filter the order flow table for Mag 7 tickers and OTM contracts expiring within 90 days." Done. Quant IQ is included with every dashboard subscription. This is the first version. It only gets smarter from here.

Andrew Hiesinger

21,009 просмотров • 2 месяцев назад

Good news for devs working in Visual Studio Code! The MongoDB MCP Server connects your MongoDB data to AI clients, such as GitHub Copilot in VS Code. Now you can ask for collection schemas and data samples, manage users and access, and generate queries all using natural language, right from your editor. Give it a try 👉
1:29

Good news for devs working in Visual Studio Code! The MongoDB MCP Server connects your MongoDB data to AI clients, such as GitHub Copilot in VS Code. Now you can ask for collection schemas and data samples, manage users and access, and generate queries all using natural language, right from your editor. Give it a try 👉

MongoDB

20,070 просмотров • 1 год назад

Sidekick works with apps. Ask a question, Sidekick will pull in the right data and take action in the app. Klaviyo, Loop, and more are already live. Devs, this is your sign to get your apps into Sidekick.
0:28

Sidekick works with apps. Ask a question, Sidekick will pull in the right data and take action in the app. Klaviyo, Loop, and more are already live. Devs, this is your sign to get your apps into Sidekick.

tobi lutke

23,006 просмотров • 3 месяцев назад

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓
43:30

IN 1986 MIT FILMED THE LECTURE WHERE CODE STOPPED BEING CODE AND BECAME DATA 43 minutes from Gerald Sussman, in the most legendary intro programming course ever recorded. -> The idea that lands: to a program, your code is just data it can read and rewrite. He builds a program that does real calculus -- not by crunching numbers, but by reading the math as a list and transforming it piece by piece. Then he shows the trick hiding under all of it: in this language, code and data are the same material. Forty years later that is exactly what an AI coding agent is -- a program that reads your code as data, rewrites it, and hands it back. Sussman drew the whole idea on a blackboard in 1986. Writing code was never the deepest skill -- understanding that code itself is data a program can manipulate is. This is where you learn it. Most people think AI writing code is brand new. The ones who watch this saw the blueprint 40 years ago. Bookmark & Watch it. This one's a legend ↓

slash1s

22,107 просмотров • 3 месяцев назад

AOC: An alternative point of consideration here, in terms of New York State’s recent moratorium—the kind of thought that, well, if you don’t want to build in your backyard, then maybe you shouldn’t have access to compute. We could say to the Silicon Valley billionaires who are constructing, pushing, and imposing these data centers on communities that are overwhelmingly rural, disenfranchised, and poor. Ask if they want one of these data centers in their own backyard. Ask any one of us here on this committee. If anyone wants to live right next to one of these centers, please raise your hand.
1:02

AOC: An alternative point of consideration here, in terms of New York State’s recent moratorium—the kind of thought that, well, if you don’t want to build in your backyard, then maybe you shouldn’t have access to compute. We could say to the Silicon Valley billionaires who are constructing, pushing, and imposing these data centers on communities that are overwhelmingly rural, disenfranchised, and poor. Ask if they want one of these data centers in their own backyard. Ask any one of us here on this committee. If anyone wants to live right next to one of these centers, please raise your hand.

Acyn

140,869 просмотров • 2 месяцев назад

introducing in Hex: Generative Data Apps backed by code, so you can build anything you want! a dashboard, an editorial, a customer prezo - you name it, you can build it 💜 integrated with your data team's context + built w/ governance, security and observability top of mind
2:04

introducing in Hex: Generative Data Apps backed by code, so you can build anything you want! a dashboard, an editorial, a customer prezo - you name it, you can build it 💜 integrated with your data team's context + built w/ governance, security and observability top of mind

Olivia Koshy

24,567 просмотров • 4 месяцев назад

Lovable's Google connectors are live. You can now build full-stack apps that talk directly to data from Google: Gmail, Calendar, Drive, Sheets, Slides, Maps, Gemini Enterprise, and BigQuery.
0:46

Lovable's Google connectors are live. You can now build full-stack apps that talk directly to data from Google: Gmail, Calendar, Drive, Sheets, Slides, Maps, Gemini Enterprise, and BigQuery.

Lovable

310,741 просмотров • 4 месяцев назад