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Too Many OSINT Tools? One Platform Helps 🔎 Switching between OSINT tools can slow down investigations and break your workflow 🧠 BosINT brings many essential OSINT tools into a single web interface, making quick checks much easier. What you can do with it: • Email & breach lookups •...

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CyberSudo

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Here is how I investigate a Google account without tools 🔍 Not everybody has the resources to set up Linux as a virtual machine. That’s why it’s always a good idea to have a list of websites that can do this for you 🌐 You’ll find a list of OSINT (Open‑Source Intelligence) resources at the link provided at the end of this post. The first thing you need is the person’s email address 📧 There are many ways to find someone’s email, which I’ll cover in future posts. Once you have their email, you can use an online version of a tool called Ghunt 🛠️ Ghunt is used to investigate Google accounts. Normally, you need Python to run it, but you can also use it online without setting it up on your machine. It can reveal the following about a Google account: ● Account profile picture ● Google reviews associated with the account ● Last profile edit ● Account type Use the following URL to visit the website: There are more methods to find information about an email address that I’ll cover in future posts 👀 __________ P.S. ♻️ Repost if you found this helpful. If you liked this post and would like to learn more methods and techniques to discover information about people, check out my OSINT Mastery course

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🔎 Map Locations Using Nearby WiFi Access Points Most people search for WiFi networks just to connect… When I'm doing recon, one of my favorite ways to map a target's environment is analyzing nearby WiFi access points. This is my favorite method to find geo-related clues when other data is limited 📍 With this approach, you can: 🗺️ Map locations based on WiFi signals 🔍 Pivot from SSIDs to possible users or places Real-life example 👇 I once investigated a username with almost no info… But found a screenshot showing a WiFi name in the background. By searching that SSID in 3WiFi's database, I was able to narrow down the exact neighborhood and continue the investigation 🚀 🔗 Website link: __________ P.S. ♻️ Repost if you found this helpful.
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Utkarsh Sharma

26,361 Aufrufe • vor 1 Monat

I just published a new tutorial on how to build a directory using AI and no-code tools. Directories are the ultimate MVP. They let you validate an idea, build traffic, and then pivot into something bigger—like SaaS or a marketplace. Remember when Yahoo and DMOZ ruled the internet? Okay, maybe you don’t, but they did. They curated the web back when search engines were clunky and unreliable. Fast forward to today—directories are making a quiet comeback. And it’s not about nostalgia. The 5 step playbook that we go through: 1. Niche first, features later Use Google Keyword Planner to find high-volume, low-competition keywords. Lock in a matching domain. 2. Build fast No-code tools + AI = rapid setup. Let AI generate the initial content and structure for you. 3. Promote smart Share on Reddit, list your directory in other directories, and engage on Twitter. 4. SEO from day one Start with 10 high-quality articles and solid internal linking. 5. Monetize as you grow Affiliate links, premium listings, B2B sponsorships. It’s all on the table. A directory can be a side hustle that pulls in $5K MRR. Then, once you’ve got traffic, you can scale into SaaS or a marketplace. It literallyyyyy pays to have traffic for your software startup. Why aren’t more people talking about this? Huge shoutout to John Rush for giving us a free masterclass on this exact strategy. Legend. You’ll want to watch to this episode on directories. I respond to all comments and appreciate them. Audio is over here if you prefer listening: Directories are cool - it’s the perfect foundation for something much bigger. Was this interesting? Well, reply to me with if it was and what you'd like to learn next on The Startup ideas Podcast. People like to gate this type of content. I won't. I live to serve and will continue sharing this info for free.
50:21

I just published a new tutorial on how to build a directory using AI and no-code tools. Directories are the ultimate MVP. They let you validate an idea, build traffic, and then pivot into something bigger—like SaaS or a marketplace. Remember when Yahoo and DMOZ ruled the internet? Okay, maybe you don’t, but they did. They curated the web back when search engines were clunky and unreliable. Fast forward to today—directories are making a quiet comeback. And it’s not about nostalgia. The 5 step playbook that we go through: 1. Niche first, features later Use Google Keyword Planner to find high-volume, low-competition keywords. Lock in a matching domain. 2. Build fast No-code tools + AI = rapid setup. Let AI generate the initial content and structure for you. 3. Promote smart Share on Reddit, list your directory in other directories, and engage on Twitter. 4. SEO from day one Start with 10 high-quality articles and solid internal linking. 5. Monetize as you grow Affiliate links, premium listings, B2B sponsorships. It’s all on the table. A directory can be a side hustle that pulls in $5K MRR. Then, once you’ve got traffic, you can scale into SaaS or a marketplace. It literallyyyyy pays to have traffic for your software startup. Why aren’t more people talking about this? Huge shoutout to John Rush for giving us a free masterclass on this exact strategy. Legend. You’ll want to watch to this episode on directories. I respond to all comments and appreciate them. Audio is over here if you prefer listening: Directories are cool - it’s the perfect foundation for something much bigger. Was this interesting? Well, reply to me with if it was and what you'd like to learn next on The Startup ideas Podcast. People like to gate this type of content. I won't. I live to serve and will continue sharing this info for free.

GREG ISENBERG

120,737 Aufrufe • vor 1 Jahr

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:
1:56

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Andrew Ng

170,425 Aufrufe • vor 1 Jahr

It's such an exciting time to be an artist on the internet. We now have the technology to build out our worlds, in spaces we own, it is truly the age of ideas. I've built a new home for my projects here, and in advance of my next major release with Transient Labs on June 16th, I want to share what I've made with you all, and open a dialogue about how we can use these tools as artists to enhance the experience of making and sharing our art. This is an overview of davekrugman dot com (link in thread), specifically about new sites for Drip Drop and DRIVE, and to that end, I'll give a work from each project to someone who reshares this post. If you are an artist who is curious on how to build a site for yourself, I would be happy to help, I'm an open book, ask me in the comments below. There are so many tools to use- I mostly used Claude / Anthropic- and now we can literally speak our ideas into reality , the possibilities feel truly infinite, if you have curiosity, patience, and a bit of time to explore a new frontier. For too long, artists have had to build on the rented space of social platforms, and now it feels like we can really create sovereign spaces that we own and make ours with our unique vision. Feel free to skim and skip around the video, and I'd be stoked if you visited the site and saw it for yourself. Thanks for lookin!
19:12

It's such an exciting time to be an artist on the internet. We now have the technology to build out our worlds, in spaces we own, it is truly the age of ideas. I've built a new home for my projects here, and in advance of my next major release with Transient Labs on June 16th, I want to share what I've made with you all, and open a dialogue about how we can use these tools as artists to enhance the experience of making and sharing our art. This is an overview of davekrugman dot com (link in thread), specifically about new sites for Drip Drop and DRIVE, and to that end, I'll give a work from each project to someone who reshares this post. If you are an artist who is curious on how to build a site for yourself, I would be happy to help, I'm an open book, ask me in the comments below. There are so many tools to use- I mostly used Claude / Anthropic- and now we can literally speak our ideas into reality , the possibilities feel truly infinite, if you have curiosity, patience, and a bit of time to explore a new frontier. For too long, artists have had to build on the rented space of social platforms, and now it feels like we can really create sovereign spaces that we own and make ours with our unique vision. Feel free to skim and skip around the video, and I'd be stoked if you visited the site and saw it for yourself. Thanks for lookin!

Dave

20,828 Aufrufe • vor 2 Monaten

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!
4:01

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!

Andrew Ng

139,873 Aufrufe • vor 1 Jahr