Загрузка видео...

Не удалось загрузить видео

На главную

Stop checking breach databases one by one. Leaker queries up to 12 simultaneously and deduplicates the results. 🔓 Free, open-source CLI. Some data sources require paid API keys. Learn more:

osintnewsletter's profile picture

The OSINT Newsletter

20,894 subscribers

55,966 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Supabase created the ChatGPT of databases. You can build and launch databases, create charts, see visuals of your DB, generate sample data, and more. 100% open source.
1:04

Supabase created the ChatGPT of databases. You can build and launch databases, create charts, see visuals of your DB, generate sample data, and more. 100% open source.

Lior Alexander

61,465 просмотров • 1 год назад

We built Open Gamma An Open Source Presentation Generator with Composio Tool Router and AI SDK - Generate Presentations in Google Slides instantly - Can research on the topic with web search - Can connect and fetch data from multiple data sources like Hubspot, Slack, Notion and more Completely free and open source link to the code:
1:00

We built Open Gamma An Open Source Presentation Generator with Composio Tool Router and AI SDK - Generate Presentations in Google Slides instantly - Can research on the topic with web search - Can connect and fetch data from multiple data sources like Hubspot, Slack, Notion and more Completely free and open source link to the code:

Karan Vaidya

40,455 просмотров • 6 месяцев назад

Sharing our latest short course: Building and Evaluating Data Agents, created in collaboration with Snowflake and taught by Anupam Datta (Anupam Datta) and Josh Reini (Josh Reini). A data agent extracts data from sources such as files or databases, analyzes it, and provides insights and visualizes its findings. But most data agents struggle with reliability or can't handle multi-step reasoning. In this course, you'll learn to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results. Learn more and enroll for free!
3:20

Sharing our latest short course: Building and Evaluating Data Agents, created in collaboration with Snowflake and taught by Anupam Datta (Anupam Datta) and Josh Reini (Josh Reini). A data agent extracts data from sources such as files or databases, analyzes it, and provides insights and visualizes its findings. But most data agents struggle with reliability or can't handle multi-step reasoning. In this course, you'll learn to build, trace, and evaluate a multi-agent workflow that plans tasks, pulls context from structured and unstructured data, performs web search, and summarizes or visualizes the final results. Learn more and enroll for free!

DeepLearning.AI

40,810 просмотров • 9 месяцев назад

Meet Studio by new, free, open source local WordPress development environment. Learn more
1:08

Meet Studio by new, free, open source local WordPress development environment. Learn more

WordPress.com

129,199 просмотров • 2 лет назад

Just announced: Additional capabilities in MCP Toolbox for Databases designed to empower AI-assisted development! Toolbox is an open-source MCP server that allows developers to easily connect gen AI agents to enterprise data. Learn more →
1:58

Just announced: Additional capabilities in MCP Toolbox for Databases designed to empower AI-assisted development! Toolbox is an open-source MCP server that allows developers to easily connect gen AI agents to enterprise data. Learn more →

Google Cloud Tech

31,996 просмотров • 1 год назад

Here’s how I would learn data engineering in 2025: 1. The basics: - learn SQL — SELECT, FROM, WHERE, GROUP BY, JOIN, HAVING, etc - learn Python — data structures: objects, arrays, tuples, namedtuples — algorithms: recursion, loops 2. Intermediate - learn distributed compute — pick up PySpark or Snowflake or BigQuery - learn data make architecture — pick up iceberg or delta lake - learn job orchestration — pick up Airflow or Mage - learn data quality — pick up Great expectations 3. Advanced - learn the data modeling techniques — one big table vs kimball vs Inmon vs data vault techniques - learn machine learning features and vector databases — pick up pinecone and how to fine tune LLMs with high quality data My newsletter has a deeper roadmap here:
1:19

Here’s how I would learn data engineering in 2025: 1. The basics: - learn SQL — SELECT, FROM, WHERE, GROUP BY, JOIN, HAVING, etc - learn Python — data structures: objects, arrays, tuples, namedtuples — algorithms: recursion, loops 2. Intermediate - learn distributed compute — pick up PySpark or Snowflake or BigQuery - learn data make architecture — pick up iceberg or delta lake - learn job orchestration — pick up Airflow or Mage - learn data quality — pick up Great expectations 3. Advanced - learn the data modeling techniques — one big table vs kimball vs Inmon vs data vault techniques - learn machine learning features and vector databases — pick up pinecone and how to fine tune LLMs with high quality data My newsletter has a deeper roadmap here:

Zach Wilson

29,205 просмотров • 1 год назад

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.
0:22

Google open-sourced MCP Toolbox for Databases. I gave it access to everything else. For context, Google's MCP Toolbox for Databases is an open-source server that lets AI agents securely query structured databases like PostgreSQL and MySQL through the MCP protocol However, most enterprise knowledge doesn't actually live in databases. It's scattered across emails, Slack threads, GitHub repos, Salesforce records, customer reviews, and internal docs. So Agents can't see any of it, which means they're working with a fraction of the context they need. I fixed that using MindsDB. It acts as a universal SQL layer that sits on top of all your data sources: structured, semi-structured, and unstructured. This means you can query Salesforce, Gmail, GitHub, S3 files, Jira, and 200+ more sources using SQL syntax. The clever part is how it connects to the MCP Toolbox. MindsDB exposes everything through MySQL, so from the Agent's perspective, it's just running SQL and getting context back. It doesn't know or care that the data came from five different sources behind the scenes. This setup unlocks some powerful capabilities: → One SQL interface for dozens of enterprise sources → Cross-datasource joins (combine GitHub and CRM data in a single query) → Built-in ML capabilities for working with unstructured data → Simple MCP tools that now have massively expanded reach In the video below, the Agent queries GitHub data and a customer review database in one SQL query. So what used to require ETL pipelines and weeks of engineering effort now happens instantly. At the end of the day, AI agents are only as useful as the data they can access. This gives them a lot more to work with. I have shared the GitHub repo in the replies, where you can find more details about this.

Akshay 🚀

39,331 просмотров • 4 месяцев назад

We’ve added a CLI for Claude Platform to make every API endpoint runnable from your terminal. Call the Messages API, stand up Claude Managed Agents, pipe results straight into your shell. The ant CLI is well understood by coding agents (Claude Code) using the claude-api skill.
0:30

We’ve added a CLI for Claude Platform to make every API endpoint runnable from your terminal. Call the Messages API, stand up Claude Managed Agents, pipe results straight into your shell. The ant CLI is well understood by coding agents (Claude Code) using the claude-api skill.

ClaudeDevs

1,206,314 просмотров • 1 месяц назад

600 SVGs available on Svgl 🥳🚀 ✓ Fully optimized ✓ React, Vue, Angular, Astro, Svelte & Web Components ✓ Add SVGs with the shadcn/ui CLI ✓ Free API ✓ Raycast extension, npm packages, and CLIs built by contributors and 100% free, open source ✨
0:25

600 SVGs available on Svgl 🥳🚀 ✓ Fully optimized ✓ React, Vue, Angular, Astro, Svelte & Web Components ✓ Add SVGs with the shadcn/ui CLI ✓ Free API ✓ Raycast extension, npm packages, and CLIs built by contributors and 100% free, open source ✨

Pablo

95,391 просмотров • 3 месяцев назад

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.
1:04

HUGE news for developers. Supabase just launched the ChatGPT of databases. An AI-based Postgres service. You can build and launch databases, create charts, embeddings, see visuals of your DB, generate sample data, and more. And.. it's 100% open source.

Lior Alexander

141,118 просмотров • 1 год назад

FREE SOURCES 💥 Pushing toward 10k followers - dropping source files from one of the recent posts that got some love.
0:53

FREE SOURCES 💥 Pushing toward 10k followers - dropping source files from one of the recent posts that got some love.

Bogdan • QClay | Awsmd

32,708 просмотров • 1 год назад

We're excited to unveil a new leadership team for Ogilvy One and a fresh approach to designing customer relationships – one led by creativity, powered by data, and supercharged by AI. Learn more:
1:24

We're excited to unveil a new leadership team for Ogilvy One and a fresh approach to designing customer relationships – one led by creativity, powered by data, and supercharged by AI. Learn more:

Ogilvy

10,815 просмотров • 2 лет назад

ICYMI: We launched Data Agent Kit, a unified, open-source collection of data engineering and data science skills, tools, and plugins that integrate into the environments practitioners already use—VS Code, Claude Code, Codex, Antigravity CLI, and more →
0:56

ICYMI: We launched Data Agent Kit, a unified, open-source collection of data engineering and data science skills, tools, and plugins that integrate into the environments practitioners already use—VS Code, Claude Code, Codex, Antigravity CLI, and more →

Google Cloud Tech

24,413 просмотров • 29 дней назад

New Release: Agents API Run Blackbox CLI, Claude Code, Codex CLI, Gemini CLI and more agents on remote VMs powered by Vercel sandboxes with 1 single api implementation
5:00

New Release: Agents API Run Blackbox CLI, Claude Code, Codex CLI, Gemini CLI and more agents on remote VMs powered by Vercel sandboxes with 1 single api implementation

BLACKBOX AI

394,830 просмотров • 5 месяцев назад

Introducing Nexus The easiest way to payment gate any existing API Enable AI agents to use your service without needing accounts or API keys. Register your API for free and get paid for every request. No code change required. Powered by x402 and thirdweb infra
2:59

Introducing Nexus The easiest way to payment gate any existing API Enable AI agents to use your service without needing accounts or API keys. Register your API for free and get paid for every request. No code change required. Powered by x402 and thirdweb infra

Joaquim

16,816 просмотров • 8 месяцев назад

Postman is dead - Here is an Open-source alternate worth checking out 🔥 Checkout Requestly Open-source API Client 🔥
1:01

Postman is dead - Here is an Open-source alternate worth checking out 🔥 Checkout Requestly Open-source API Client 🔥

Piyush Garg

25,599 просмотров • 5 месяцев назад

Still wiring AI endpoints one by one? Stop. Relay is one API for AI. Text, image, video, speech. One key. One flow. Build in minutes. Scale without rewrites. Pay only when work runs. From playground to production, Relay handles the routing so you can ship. Create. Integrate. Deploy. Learn more ↓ Powered by OpenGPU Network $OGPU
0:45

Still wiring AI endpoints one by one? Stop. Relay is one API for AI. Text, image, video, speech. One key. One flow. Build in minutes. Scale without rewrites. Pay only when work runs. From playground to production, Relay handles the routing so you can ship. Create. Integrate. Deploy. Learn more ↓ Powered by OpenGPU Network $OGPU

OpenGPU Network

544,212 просмотров • 5 месяцев назад

Open-source and free apps for coders - Open-source agentic development in one window - Free domain rating tracker - Open source framework for building AI agents - 158 design experiments - Free design inspiration
0:34

Open-source and free apps for coders - Open-source agentic development in one window - Free domain rating tracker - Open source framework for building AI agents - 158 design experiments - Free design inspiration

Csaba Kissi

47,466 просмотров • 2 дней назад