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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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14,613 views • 5 months ago •via X (Twitter)

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🔎 OSINT Tool: Build Powerful Google Dorks in Seconds Google dorks are extremely powerful, but memorizing syntax every time gets old 😅 When I’m doing fast OSINT work, I rely on tools that speed things up without limiting control. One of my favorite tools to find exposed files, panels, and leaks is a dork builder that creates clean queries instantly ⚙️ You can generate dorks for: 📄 Sensitive documents 📂 Open directories 🔐 Login pages 🛠 Misconfigured servers Perfect for quick recon, company footprinting, and surface-level exposure checks Tool link: _____________________ 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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🔎 OSINT Tool: Build Powerful Google Dorks in Seconds Google dorks are extremely powerful, but memorizing syntax every time gets old 😅 When I’m doing fast OSINT work, I rely on tools that speed things up without limiting control. One of my favorite tools to find exposed files, panels, and leaks is a dork builder that creates clean queries instantly ⚙️ You can generate dorks for: 📄 Sensitive documents 📂 Open directories 🔐 Login pages 🛠 Misconfigured servers Perfect for quick recon, company footprinting, and surface-level exposure checks Tool link: _____________________ 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

CyberSudo

16,177 views • 6 months ago

You found an email, username, or phone number… Now what? Here’s what to do if you have an email, phone number, username, or website and don’t know where to start. As OSINT investigators, we sometimes forget which methodologies or tools we can use during an investigation. That’s why having your own notes or bookmarks for: • Email • Phone Number • Username • Website can be extremely useful. If you don’t have your own collection yet, you can use Pika’s OSINT Toolbox. It’s one of my favorite OSINT directories and contains a large collection of investigation resources. It includes tools for: 📧 Email, username, and phone number investigations 🌐 Domain and IP analysis 📍 Geolocation and mapping tools 💬 Telegram, Discord, and social media analysis 🕰️ Archived websites and historical data research This can help a lot in OSINT scenarios like: 🕵️ Finding alternative tools when one source fails 🔎 Discovering niche services for specific investigations ⚡ Speeding up recon without searching for tools individually I’ve also noticed that comparing multiple OSINT directories often helps uncover tools that rarely get mentioned publicly. 🔗 Tool link:
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You found an email, username, or phone number… Now what? Here’s what to do if you have an email, phone number, username, or website and don’t know where to start. As OSINT investigators, we sometimes forget which methodologies or tools we can use during an investigation. That’s why having your own notes or bookmarks for: • Email • Phone Number • Username • Website can be extremely useful. If you don’t have your own collection yet, you can use Pika’s OSINT Toolbox. It’s one of my favorite OSINT directories and contains a large collection of investigation resources. It includes tools for: 📧 Email, username, and phone number investigations 🌐 Domain and IP analysis 📍 Geolocation and mapping tools 💬 Telegram, Discord, and social media analysis 🕰️ Archived websites and historical data research This can help a lot in OSINT scenarios like: 🕵️ Finding alternative tools when one source fails 🔎 Discovering niche services for specific investigations ⚡ Speeding up recon without searching for tools individually I’ve also noticed that comparing multiple OSINT directories often helps uncover tools that rarely get mentioned publicly. 🔗 Tool link:

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13,783 views • 1 month ago

OSINT Tool: Extract Sounds from Audio Files 🎵🔍 Most audio tools just let you play or cut files. Finding a specific sound inside a long recording can be tedious. AudioGhost AI changes that. It uses a memory-optimized SAM-Audio model to extract specific sounds from audio files using text queries. You can: 🎯 Search for particular sounds in any audio 🖥️ Use a modern, user-friendly interface 💾 Work efficiently even with large files This is perfect for investigations, research, or any project where audio analysis matters. 🔗 Website link: __________ 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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OSINT Tool: Extract Sounds from Audio Files 🎵🔍 Most audio tools just let you play or cut files. Finding a specific sound inside a long recording can be tedious. AudioGhost AI changes that. It uses a memory-optimized SAM-Audio model to extract specific sounds from audio files using text queries. You can: 🎯 Search for particular sounds in any audio 🖥️ Use a modern, user-friendly interface 💾 Work efficiently even with large files This is perfect for investigations, research, or any project where audio analysis matters. 🔗 Website link: __________ 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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16,095 views • 5 months ago

🔍 OSINT TOOL OF THE DAY Search Inside Messengers Ever wanted to uncover groups, channels, or hidden communities inside messaging apps? Waybien lets you search across major messengers & social platforms using keywords, then filter results with precision: 🌍 Geography 🗣 ️ Language 📌 Topic 👥 Member count Perfect for investigations, intel gathering, and mapping how conversations spread across regions. A clean, efficient, and underrated addition to any OSINT workflow 😄🧠 And in a future post, I’ll share a free tool that lets you map mobile network coverage and locate 2G–5G cell towers. 😉 You can check it out here ------------ P.S. ♻️ Repost if you found this helpful. If you would like to learn more about website OSINT and much more, check out the OSINT Mastery course at you’ll learn OSINT from scratch with a real-life investigation.
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🔍 OSINT TOOL OF THE DAY Search Inside Messengers Ever wanted to uncover groups, channels, or hidden communities inside messaging apps? Waybien lets you search across major messengers & social platforms using keywords, then filter results with precision: 🌍 Geography 🗣 ️ Language 📌 Topic 👥 Member count Perfect for investigations, intel gathering, and mapping how conversations spread across regions. A clean, efficient, and underrated addition to any OSINT workflow 😄🧠 And in a future post, I’ll share a free tool that lets you map mobile network coverage and locate 2G–5G cell towers. 😉 You can check it out here ------------ P.S. ♻️ Repost if you found this helpful. If you would like to learn more about website OSINT and much more, check out the OSINT Mastery course at you’ll learn OSINT from scratch with a real-life investigation.

CyberSudo

20,521 views • 6 months ago

OSINT tool of the day 🌐🕵️‍♂️ My favourite business-verification tool this week is OpenLEIS, a public database that shows what’s really behind a company 📂. It lets you search for LEI codes (Legal Entity Identifiers) LEI are unique IDs used in global financial transactions to confirm a company actually exists and who stands behind it 🧩. This makes it super useful in OSINT investigations Especially when you want verified business details instead of unreliable guesses 🔍. With OpenLEIS you can quickly check: 🛑 company name and legal address 🛑 active / inactive status 🛑 registration and update dates 🛑 links to parent or subsidiary companies Some practical ways it helps during investigations: 🛑 verifying companies offering investments or financial deals 🛑 analysing businesses that might be using shell structures 🛑 finding connections between companies in corruption or sanctions cases If you enjoy tools that reveal what’s hiding behind a business, you’ll like this one 🚀. You can access it here: __________ 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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OSINT tool of the day 🌐🕵️‍♂️ My favourite business-verification tool this week is OpenLEIS, a public database that shows what’s really behind a company 📂. It lets you search for LEI codes (Legal Entity Identifiers) LEI are unique IDs used in global financial transactions to confirm a company actually exists and who stands behind it 🧩. This makes it super useful in OSINT investigations Especially when you want verified business details instead of unreliable guesses 🔍. With OpenLEIS you can quickly check: 🛑 company name and legal address 🛑 active / inactive status 🛑 registration and update dates 🛑 links to parent or subsidiary companies Some practical ways it helps during investigations: 🛑 verifying companies offering investments or financial deals 🛑 analysing businesses that might be using shell structures 🛑 finding connections between companies in corruption or sanctions cases If you enjoy tools that reveal what’s hiding behind a business, you’ll like this one 🚀. You can access it here: __________ 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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🧠 OSINT Tool: Turn Threat Intelligence Into Instant Reports Most analysts monitor forums manually… but automation can surface leaks before you even start searching ⚡ When I’m doing OSINT or threat profiling, one of my favorite approaches is using platforms that visualize threat activity instead of just listing data 🌍 This tool shows a live global map of leaks and underground discussions in real time, which makes spotting patterns and hotspots much faster than scrolling forums manually 👀 It lets you: 📍 Track leak geography visually 🗂 Aggregate data from 300K+ forum logs 🤖 Generate AI-powered OSINT reports automatically For example, during a recon scenario, I needed to understand whether a target appeared in underground chatter. Instead of browsing multiple forums one by one, I used this platform and immediately saw posts linked to their domain, which gave me investigation leads within minutes. This is the kind of tool that saves hours and gives analysts a strategic advantage fast. Tool link: __________ 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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🧠 OSINT Tool: Turn Threat Intelligence Into Instant Reports Most analysts monitor forums manually… but automation can surface leaks before you even start searching ⚡ When I’m doing OSINT or threat profiling, one of my favorite approaches is using platforms that visualize threat activity instead of just listing data 🌍 This tool shows a live global map of leaks and underground discussions in real time, which makes spotting patterns and hotspots much faster than scrolling forums manually 👀 It lets you: 📍 Track leak geography visually 🗂 Aggregate data from 300K+ forum logs 🤖 Generate AI-powered OSINT reports automatically For example, during a recon scenario, I needed to understand whether a target appeared in underground chatter. Instead of browsing multiple forums one by one, I used this platform and immediately saw posts linked to their domain, which gave me investigation leads within minutes. This is the kind of tool that saves hours and gives analysts a strategic advantage fast. Tool link: __________ 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

CyberSudo

23,522 views • 3 months ago

Deleting yourself from the internet is possible, and here’s how: When I began learning OSINT, the first thing I did was search for my online presence 🔍. I was shocked by the amount of information I found. To reduce my digital footprint, I started by deleting unused accounts, photos, and posts. Some websites make it challenging to delete your account or remove personal information ⚠️ One of the best resources I found was JustDeleteMe, a directory of direct links to delete your account from various web services. Here’s how to use JustDeleteMe: 1. Visit JustDeleteMe 2. Type the name of the website from which you want to delete your account 3. Click on “view info” 4. Follow the instructions to remove your account 🗑️ I highly recommend conducting an OSINT investigation on yourself first. This helps you understand how people use the internet and what information might be interesting to an OSINT investigator 👀 Additionally, I recommend using Google Alerts to monitor any search results that might contain your or your client’s information. In a future post, I’ll share how to use Google Alerts to gather information about individuals or companies. ____________________________ 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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Deleting yourself from the internet is possible, and here’s how: When I began learning OSINT, the first thing I did was search for my online presence 🔍. I was shocked by the amount of information I found. To reduce my digital footprint, I started by deleting unused accounts, photos, and posts. Some websites make it challenging to delete your account or remove personal information ⚠️ One of the best resources I found was JustDeleteMe, a directory of direct links to delete your account from various web services. Here’s how to use JustDeleteMe: 1. Visit JustDeleteMe 2. Type the name of the website from which you want to delete your account 3. Click on “view info” 4. Follow the instructions to remove your account 🗑️ I highly recommend conducting an OSINT investigation on yourself first. This helps you understand how people use the internet and what information might be interesting to an OSINT investigator 👀 Additionally, I recommend using Google Alerts to monitor any search results that might contain your or your client’s information. In a future post, I’ll share how to use Google Alerts to gather information about individuals or companies. ____________________________ 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

CyberSudo

186,383 views • 5 months ago

Here is how I find someone’s deleted Tweets on X/Twitter 🐦💻 I used to manually search for someone’s username across search engines 🔍, hoping to find a cached tweet 🗂️ Recently, a new website allows you to automatically search for cached tweets across multiple search engines and archival services ⚡🌐 The tool is called Deleted Tweet Finder V2.3 🛠️ You can access it here: 🌐 Here’s how to use it: 1. Visit the website 🖥️ 2. Enter the person’s X/Twitter URL or the URL of a tweet they made 🔗 3. Select the service ✅ 4. Click on “Go” ▶️ This will open a new tab with the service you selected and search for the profile or tweet 🗂️🔎 Note ⚠️: Since X acquired Twitter, it’s recommended to search for a tweet/profile using both the and domain names 🌐 Example: Username: cyber_sudo 🧑‍💻 First URL: Second URL: ____________________ P.S. ♻️ Repost if you found this helpful. If you liked this post, get weekly OSINT tips by joining the OSINT Observer Newsletter, with over 5,000 OSINT enthusiasts: Plus, there’s a welcome gift waiting for you!
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Here is how I find someone’s deleted Tweets on X/Twitter 🐦💻 I used to manually search for someone’s username across search engines 🔍, hoping to find a cached tweet 🗂️ Recently, a new website allows you to automatically search for cached tweets across multiple search engines and archival services ⚡🌐 The tool is called Deleted Tweet Finder V2.3 🛠️ You can access it here: 🌐 Here’s how to use it: 1. Visit the website 🖥️ 2. Enter the person’s X/Twitter URL or the URL of a tweet they made 🔗 3. Select the service ✅ 4. Click on “Go” ▶️ This will open a new tab with the service you selected and search for the profile or tweet 🗂️🔎 Note ⚠️: Since X acquired Twitter, it’s recommended to search for a tweet/profile using both the and domain names 🌐 Example: Username: cyber_sudo 🧑‍💻 First URL: Second URL: ____________________ P.S. ♻️ Repost if you found this helpful. If you liked this post, get weekly OSINT tips by joining the OSINT Observer Newsletter, with over 5,000 OSINT enthusiasts: Plus, there’s a welcome gift waiting for you!

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17,869 views • 5 months ago

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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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

CyberSudo

35,600 views • 5 months ago

OSINT Tool: Investigate Unknown Phone Numbers 📱🔎 Phone numbers are powerful investigation pivots. With the right tools, a single number can reveal location clues, carrier info, and possible owner signals 🌐 One of the tools I like using when starting a phone investigation is a simple reverse phone lookup platform. Instead of manually searching everywhere, you can quickly check information linked to the number. With this tool you can often discover: 📞 Caller ID name (CNAM) 🌍 The country or calling area linked to the number 📡 Carrier or numbering plan information 🧩 Additional clues to continue your investigation The platform works by collecting public phone number data from multiple sources and compiling it into a simple lookup report for researchers. This kind of information is often the first pivot before searching social media, leaks, or messaging apps. One thing to remember though: caller information should always be treated as a clue, not a confirmed identity, because phone data can sometimes be inaccurate or spoofed. Still, tools like this are a great first step when investigating unknown calls. 🔗 Website link: In the next post, I’ll show you another method OSINT investigators use to uncover information from phone numbers. 📱🕵️‍♂️
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OSINT Tool: Investigate Unknown Phone Numbers 📱🔎 Phone numbers are powerful investigation pivots. With the right tools, a single number can reveal location clues, carrier info, and possible owner signals 🌐 One of the tools I like using when starting a phone investigation is a simple reverse phone lookup platform. Instead of manually searching everywhere, you can quickly check information linked to the number. With this tool you can often discover: 📞 Caller ID name (CNAM) 🌍 The country or calling area linked to the number 📡 Carrier or numbering plan information 🧩 Additional clues to continue your investigation The platform works by collecting public phone number data from multiple sources and compiling it into a simple lookup report for researchers. This kind of information is often the first pivot before searching social media, leaks, or messaging apps. One thing to remember though: caller information should always be treated as a clue, not a confirmed identity, because phone data can sometimes be inaccurate or spoofed. Still, tools like this are a great first step when investigating unknown calls. 🔗 Website link: In the next post, I’ll show you another method OSINT investigators use to uncover information from phone numbers. 📱🕵️‍♂️

CyberSudo

13,455 views • 2 months ago

💸 Anyone here juggling multiple AI tools for work? I used to switch between ChatGPT, Claude, and different image/video tools all the time — too many tabs, too many subscriptions, and honestly, it slowed down my workflow. Recently, I tried Rita, and their Seedance 2.0 model is what really stood out 👀 It’s an official ByteDance-powered version, so there’s no waiting queue — everything runs fast and smoothly. What’s even more interesting: • Supports real-person facial recognition • Lets you go from idea → video in one workflow • Low barrier to start — new users can try it for free once Personally, I like generating ideas with ChatGPT, then bringing them into Seedance 2.0 to turn them into actual videos. Feels especially useful for: • Content creators / KOLs working across text, images, and video • Digital workers who want efficiency over juggling multiple tools • AI users who want everything in one place ⚠️ Note: 1. Real-Person Face Feature(Comming Soon) 2. All Generated Videos Will Support Commercial Use. Curious — Do you prefer an all-in-one platform, or separate tools for each task?.... Try it → Want premium subscriptions for less? Check out GamsGo — an easy way to save on popular digital services at a lower cost. 👀 Check it Now👉 #RitaAI #Seedance2
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💸 Anyone here juggling multiple AI tools for work? I used to switch between ChatGPT, Claude, and different image/video tools all the time — too many tabs, too many subscriptions, and honestly, it slowed down my workflow. Recently, I tried Rita, and their Seedance 2.0 model is what really stood out 👀 It’s an official ByteDance-powered version, so there’s no waiting queue — everything runs fast and smoothly. What’s even more interesting: • Supports real-person facial recognition • Lets you go from idea → video in one workflow • Low barrier to start — new users can try it for free once Personally, I like generating ideas with ChatGPT, then bringing them into Seedance 2.0 to turn them into actual videos. Feels especially useful for: • Content creators / KOLs working across text, images, and video • Digital workers who want efficiency over juggling multiple tools • AI users who want everything in one place ⚠️ Note: 1. Real-Person Face Feature(Comming Soon) 2. All Generated Videos Will Support Commercial Use. Curious — Do you prefer an all-in-one platform, or separate tools for each task?.... Try it → Want premium subscriptions for less? Check out GamsGo — an easy way to save on popular digital services at a lower cost. 👀 Check it Now👉 #RitaAI #Seedance2

Nihan

19,296 views • 2 months ago

Most SEO teams aren't losing because of poor content. They're losing because they don't know what content is missing. I recently used Kuse to analyze a website against its competitors and uncover content opportunities that would have taken hours to find manually. The workflow helped: - Compare a site against competing websites - Surface content gaps across important topics - Identify missing pages and content opportunities - Reveal areas where competitors have stronger coverage - Organize findings into a clear report What normally requires jumping between multiple tools, spreadsheets, and browser tabs became a structured workflow that ran automatically. The interesting part wasn't just the analysis. It was how easy it was to adapt the workflow. Kuse provides workflow templates that can be customized for different use cases, so instead of building automations from scratch, you can start with an existing workflow and tailor it to your needs. And because Kuse connects with thousands of popular tools, the insights can flow directly into the systems your team already uses. AI workflows are most valuable when they help teams spend less time collecting information and more time acting on it. This was a good example of that. If competitor research, SEO analysis, or repetitive reporting is part of your workflow, Kuse is worth exploring. Check it out:
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Utkarsh Sharma

26,361 views • 1 month ago

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 views • 1 year ago

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:
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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

170,399 views • 1 year ago

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

20,607 views • 1 month ago

Announcing a new Coursera course: Retrieval Augmented Generation (RAG) You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by and taught by Zain, experienced AI and ML engineer, researcher, and educator. RAG is a critical component today of many LLM-based applications in customer support, internal company Q&A systems, even many of the leading chatbots that use web search to answer your questions. This course teaches you in-depth how to make RAG work well. LLMs can produce generic or outdated responses, especially when asked specialized questions not covered in its training data. RAG is the most widely used technique for addressing this. It brings in data from new data sources, such as internal documents or recent news, to give the LLM the relevant context to private, recent, or specialized information. This lets it generate more grounded and accurate responses. In this course, you’ll learn to design and implement every part of a RAG system, from retrievers to vector databases to generation to evals. You’ll learn about the fundamental principles behind RAG and how to optimize it at both the component and whole-system levels. As AI evolves, RAG is evolving too. New models can handle longer context windows, reason more effectively, and can be parts of complex agentic workflows. One exciting growth area is Agentic RAG, in which an AI agent at runtime (rather than it being hardcoded at development time) autonomously decides what data to retrieve, and when/how to go deeper. Even with this evolution, access to high-quality data at runtime is essential, which is why RAG is a key part of so many applications. You'll learn via hands-on experiences to: - Build a RAG system with retrieval and prompt augmentation - Compare retrieval methods like BM25, semantic search, and Reciprocal Rank Fusion - Chunk, index, and retrieve documents using a Weaviate vector database and a news dataset - Develop a chatbot, using open-source LLMs hosted by Together AI, for a fictional store that answers product and FAQ questions - Use evals to drive improving reliability, and incorporate multi-modal data RAG is an important foundational technique. Become good at it through this course! Please sign up here:
1:39

Announcing a new Coursera course: Retrieval Augmented Generation (RAG) You'll learn to build high performance, production-ready RAG systems in this hands-on, in-depth course created by and taught by Zain, experienced AI and ML engineer, researcher, and educator. RAG is a critical component today of many LLM-based applications in customer support, internal company Q&A systems, even many of the leading chatbots that use web search to answer your questions. This course teaches you in-depth how to make RAG work well. LLMs can produce generic or outdated responses, especially when asked specialized questions not covered in its training data. RAG is the most widely used technique for addressing this. It brings in data from new data sources, such as internal documents or recent news, to give the LLM the relevant context to private, recent, or specialized information. This lets it generate more grounded and accurate responses. In this course, you’ll learn to design and implement every part of a RAG system, from retrievers to vector databases to generation to evals. You’ll learn about the fundamental principles behind RAG and how to optimize it at both the component and whole-system levels. As AI evolves, RAG is evolving too. New models can handle longer context windows, reason more effectively, and can be parts of complex agentic workflows. One exciting growth area is Agentic RAG, in which an AI agent at runtime (rather than it being hardcoded at development time) autonomously decides what data to retrieve, and when/how to go deeper. Even with this evolution, access to high-quality data at runtime is essential, which is why RAG is a key part of so many applications. You'll learn via hands-on experiences to: - Build a RAG system with retrieval and prompt augmentation - Compare retrieval methods like BM25, semantic search, and Reciprocal Rank Fusion - Chunk, index, and retrieve documents using a Weaviate vector database and a news dataset - Develop a chatbot, using open-source LLMs hosted by Together AI, for a fictional store that answers product and FAQ questions - Use evals to drive improving reliability, and incorporate multi-modal data RAG is an important foundational technique. Become good at it through this course! Please sign up here:

Andrew Ng

124,458 views • 1 year ago

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

139,803 views • 1 year ago

Meet the new AirOps. The only all-in-one content platform to rank your brand #1 on ChatGPT. We've raised a $40M Series B, led by Greylock Partners People skip Google and ask ChatGPT "what's the best [your category]?" And if your brand doesn't show up in the answer, you lose. Here's how brands like Webflow, Chime, and Ramp use AirOps to win: 1. AirOps analyzes how often ChatGPT, other AI search engines, and traditional search recommend your brand. Page360 shows how each page performs across SEO, AI search, and your website's Google Analytics. 2. We highlight exactly where competitors get recommended and you don’t, then give you a prioritized roadmap so you know what to fix or create next. 3. AirOps connects to tools like Zendesk, HubSpot, and Gong, turning your data into inputs your team can use as context to make new content. 4. Automated workflows scale high-quality content, with human review at 5+ points. 5. In one click, publish agent-readable content straight into your website. 8-person marketing teams that once published 40 content pieces a month now publish 500+ with AirOps and outrank everyone. This is how modern brands get found in the new AI era of discovery. If you don’t 3× your AI traffic in six months, we’ll refund you up to $1M. Book a demo here: Since you’re still reading, here’s a little bonus 👇🏻
2:51

Meet the new AirOps. The only all-in-one content platform to rank your brand #1 on ChatGPT. We've raised a $40M Series B, led by Greylock Partners People skip Google and ask ChatGPT "what's the best [your category]?" And if your brand doesn't show up in the answer, you lose. Here's how brands like Webflow, Chime, and Ramp use AirOps to win: 1. AirOps analyzes how often ChatGPT, other AI search engines, and traditional search recommend your brand. Page360 shows how each page performs across SEO, AI search, and your website's Google Analytics. 2. We highlight exactly where competitors get recommended and you don’t, then give you a prioritized roadmap so you know what to fix or create next. 3. AirOps connects to tools like Zendesk, HubSpot, and Gong, turning your data into inputs your team can use as context to make new content. 4. Automated workflows scale high-quality content, with human review at 5+ points. 5. In one click, publish agent-readable content straight into your website. 8-person marketing teams that once published 40 content pieces a month now publish 500+ with AirOps and outrank everyone. This is how modern brands get found in the new AI era of discovery. If you don’t 3× your AI traffic in six months, we’ll refund you up to $1M. Book a demo here: Since you’re still reading, here’s a little bonus 👇🏻

Alex Halliday

162,481 views • 8 months ago

I sat down with Robby Stein (Robby Stein), Google’s VP of Product for Search, at Google I/O. Robby is one of the most interesting product leaders in tech: he helped build Instagram Stories, Reels and Close Friends, and now leads core Google Search products including AI Overviews, AI Mode, Lens and ranking. We talked about one of the biggest shifts in the history of the web: Google Search becoming AI-native. Topics we covered: • AI Mode and whether it is an evolution of Search or a reinvention of it • how Google breaks complex questions into multiple searches behind the scenes • why AI search is much more expensive to run than traditional search • whether Google’s TPUs and infrastructure give it an advantage no one else can match • why Search volume is growing instead of being cannibalized by AI • the tension between great AI answers and traffic for publishers • how Google decides which sources and links to show • what a better internet could look like if AI Search works as intended The big question behind the whole conversation: If Google gives you the answer directly, what happens to the link-based web? A small caveat: sadly the microphones didnt work properly. Therefore the audio quality in this episode isn't perfect due to a recording issue - we appreciate your understanding.
15:57

I sat down with Robby Stein (Robby Stein), Google’s VP of Product for Search, at Google I/O. Robby is one of the most interesting product leaders in tech: he helped build Instagram Stories, Reels and Close Friends, and now leads core Google Search products including AI Overviews, AI Mode, Lens and ranking. We talked about one of the biggest shifts in the history of the web: Google Search becoming AI-native. Topics we covered: • AI Mode and whether it is an evolution of Search or a reinvention of it • how Google breaks complex questions into multiple searches behind the scenes • why AI search is much more expensive to run than traditional search • whether Google’s TPUs and infrastructure give it an advantage no one else can match • why Search volume is growing instead of being cannibalized by AI • the tension between great AI answers and traffic for publishers • how Google decides which sources and links to show • what a better internet could look like if AI Search works as intended The big question behind the whole conversation: If Google gives you the answer directly, what happens to the link-based web? A small caveat: sadly the microphones didnt work properly. Therefore the audio quality in this episode isn't perfect due to a recording issue - we appreciate your understanding.

Chubby♨️

30,486 views • 1 month ago