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✨ Today I rebuilt 🏔️ AltaVista Search, the main search engine before Google existed The problem: if you press the 🔍Search button in MSIE4 it'll open a sidebar with AltaVista in it that opens: http:// home . microsoft . com/search/search.asp But that URL doesn't resolve anymore of course, so...

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@levelsio

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84,373 views • 6 months ago •via X (Twitter)

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💾 I renamed it to because AltaVista is still owned by Yahoo so I didn't wanna infringe 🔎 is a fully functional search engine and proxy that lets ANY old browser browse most of the web with just HTTP (instead of HTTPS), it converts modern web pages to something that any old device can access (like removing JavaScript code) So now devices like your old Apple II, Commodore 64, Atari ST, Amiga, 486 PC, Dreamcast or PS2 can access the modern internet too! 🤓 And it's great for Kindles too because it converts most webpages to easy-to-read text ☺️
2:02

💾 I renamed it to because AltaVista is still owned by Yahoo so I didn't wanna infringe 🔎 is a fully functional search engine and proxy that lets ANY old browser browse most of the web with just HTTP (instead of HTTPS), it converts modern web pages to something that any old device can access (like removing JavaScript code) So now devices like your old Apple II, Commodore 64, Atari ST, Amiga, 486 PC, Dreamcast or PS2 can access the modern internet too! 🤓 And it's great for Kindles too because it converts most webpages to easy-to-read text ☺️

@levelsio

89,748 views • 3 months ago

J-Cal Explains Why Google is UNDERRATED in AI 👀 On E227, the besties discussed Google's value in a post-search world if AI replaces traditional search. @jason broke down why he thinks Google is being slept on: "I think there's a chance that we're underestimating the power of Google's ad network right now." "They have four or five products that are one or two billion users per month. You have YouTube, Google Docs, Android." "They have such a data advantage and such a deep integration into people's lives because they use three or four services, I think Google's gonna figure this out." "It's quite possible that knowing your queries in Gemini, knowing what you're doing in Calendar, knowing what you're watching on YouTube could lead to a stream of more targeted ads that do better and are more valuable." "We've been seeing a number of startups that are figuring out how to use your queries and what you're doing in AI to present to you search results." "So imagine you're doing a Gemini search and on the side of it, it's giving you a rolling list of ads or offers that you might be more interested in." "That could be a better advertising product than even search itself." "I think YouTube search is the place to go all-in." "Right now, when you do a YouTube search, it just gives you 10 links, right? It just gives you that rolling thing." "You should be able to ask a question to YouTube, and you should be able to ask questions to your calendar." "You should be able to say, who have I met with over the last 10 years? Who I'm no longer in touch with and what are they up to?" "And it should do a Gemini search inside of Google Calendar. It's very light right now." "And then if you did that on YouTube, this would train people at the point of pain in a very deep way without sacrificing Google Search queries too aggressively."
1:20

J-Cal Explains Why Google is UNDERRATED in AI 👀 On E227, the besties discussed Google's value in a post-search world if AI replaces traditional search. @jason broke down why he thinks Google is being slept on: "I think there's a chance that we're underestimating the power of Google's ad network right now." "They have four or five products that are one or two billion users per month. You have YouTube, Google Docs, Android." "They have such a data advantage and such a deep integration into people's lives because they use three or four services, I think Google's gonna figure this out." "It's quite possible that knowing your queries in Gemini, knowing what you're doing in Calendar, knowing what you're watching on YouTube could lead to a stream of more targeted ads that do better and are more valuable." "We've been seeing a number of startups that are figuring out how to use your queries and what you're doing in AI to present to you search results." "So imagine you're doing a Gemini search and on the side of it, it's giving you a rolling list of ads or offers that you might be more interested in." "That could be a better advertising product than even search itself." "I think YouTube search is the place to go all-in." "Right now, when you do a YouTube search, it just gives you 10 links, right? It just gives you that rolling thing." "You should be able to ask a question to YouTube, and you should be able to ask questions to your calendar." "You should be able to say, who have I met with over the last 10 years? Who I'm no longer in touch with and what are they up to?" "And it should do a Gemini search inside of Google Calendar. It's very light right now." "And then if you did that on YouTube, this would train people at the point of pain in a very deep way without sacrificing Google Search queries too aggressively."

The All-In Podcast

58,275 views • 1 year ago

📡 Today I built a HTTP proxy that lets all the old computers in the world surf the web too Browsers from before 2013 don't support modern HTTPS so they literally can't acces any website That's very sad for all the old cute retro computers who also wanna go on the internet 😞 So to be inclusive, I vibecoded my own web-based proxy, and it lets them browse HTTPS websites and search Google Here's how it looks on my physical box that I built by installing a Raspberry Pi 5 into this Checkmate retro display and hooking it up with an 8BitDo keyboard and mouse and dial-up internet connection Inb4 why, it's fun!!! You can try it live on in Internet Explorer, I set it as the homepage
5:11

📡 Today I built a HTTP proxy that lets all the old computers in the world surf the web too Browsers from before 2013 don't support modern HTTPS so they literally can't acces any website That's very sad for all the old cute retro computers who also wanna go on the internet 😞 So to be inclusive, I vibecoded my own web-based proxy, and it lets them browse HTTPS websites and search Google Here's how it looks on my physical box that I built by installing a Raspberry Pi 5 into this Checkmate retro display and hooking it up with an 8BitDo keyboard and mouse and dial-up internet connection Inb4 why, it's fun!!! You can try it live on in Internet Explorer, I set it as the homepage

@levelsio

628,672 views • 6 months ago

📍A local SEO trick every pro should know: Use the UULE parameter to set a precise location for your search results. Adding a UULE parameter to your Google search query lets you see search results from a specific region without needing an extension or being physically there. Here’s how: 1️⃣ Generate a UULE for the location (Find a tool by googling “uule generator”) You will get a code that looks like this: &uule=w+CAIQICIQRWRtb250b24sIENhbmFkYQ 2️⃣ Now run any search in Google. 3️⃣ Look at the URL for your search and replace the last part of it with the UULE parameter. For example: google . com/search?q=sushi+restaurant &uule=w+CAIQICIQRWRtb250b24sIENhbmFkYQ How do you set your search location? #seo #localseo
0:34

📍A local SEO trick every pro should know: Use the UULE parameter to set a precise location for your search results. Adding a UULE parameter to your Google search query lets you see search results from a specific region without needing an extension or being physically there. Here’s how: 1️⃣ Generate a UULE for the location (Find a tool by googling “uule generator”) You will get a code that looks like this: &uule=w+CAIQICIQRWRtb250b24sIENhbmFkYQ 2️⃣ Now run any search in Google. 3️⃣ Look at the URL for your search and replace the last part of it with the UULE parameter. For example: google . com/search?q=sushi+restaurant &uule=w+CAIQICIQRWRtb250b24sIENhbmFkYQ How do you set your search location? #seo #localseo

Darren Shaw

28,511 views • 2 years ago

Mark Zuckerberg to new-hire Aditya Agarwal : “If I can build Facebook you can build a search engine” Aditya recalls starting at Facebook in 2005. A few weeks into his new role, Mark Zuckerberg comes up to him and suggests he build a search engine: “When people come to Facebook, the first thing they want to do is search for people.” Aditya’s first reaction was that search was a really important thing to get right and he had never built a search engine - wouldn’t it make more sense to just hire somebody from Google or Yahoo to do it? Mark replied: “If I can build Facebook, you can build a search engine.” And he was right - Aditya did end up building search for Facebook. This interaction also left a lasting impression on Aditya: “All of us can build whatever we put our minds to. And this is the culture that for me still defines Facebook - there is this hacker, can-do, total-ownership culture. If I could tell every startup in the world to take one thing, it would be you can do whatever you want as long as you put your mind to it. It’s probably easier than you think.” Video source: South Park Commons (2024)
1:13

Mark Zuckerberg to new-hire Aditya Agarwal : “If I can build Facebook you can build a search engine” Aditya recalls starting at Facebook in 2005. A few weeks into his new role, Mark Zuckerberg comes up to him and suggests he build a search engine: “When people come to Facebook, the first thing they want to do is search for people.” Aditya’s first reaction was that search was a really important thing to get right and he had never built a search engine - wouldn’t it make more sense to just hire somebody from Google or Yahoo to do it? Mark replied: “If I can build Facebook, you can build a search engine.” And he was right - Aditya did end up building search for Facebook. This interaction also left a lasting impression on Aditya: “All of us can build whatever we put our minds to. And this is the culture that for me still defines Facebook - there is this hacker, can-do, total-ownership culture. If I could tell every startup in the world to take one thing, it would be you can do whatever you want as long as you put your mind to it. It’s probably easier than you think.” Video source: South Park Commons (2024)

Startup Archive

136,570 views • 4 months ago

i built an ai agent that talks to my girlfriend 24/7. fully open source. sometimes i am on a plane or just working, so i built an ai that uses Nozomio Labs’s search api to index and search through 5,000 pickup lines and methods on how to talk to women. it also has its own telegram that uses my account to send, receive, record, and schedule messages to my girlfriend, with built-in memory that analyzes her mood and tells me when something is wrong. here is a demo of me asking an agent to search for some pickup lines and create a 7-day meal plan for her:
0:38

i built an ai agent that talks to my girlfriend 24/7. fully open source. sometimes i am on a plane or just working, so i built an ai that uses Nozomio Labs’s search api to index and search through 5,000 pickup lines and methods on how to talk to women. it also has its own telegram that uses my account to send, receive, record, and schedule messages to my girlfriend, with built-in memory that analyzes her mood and tells me when something is wrong. here is a demo of me asking an agent to search for some pickup lines and create a 7-day meal plan for her:

Arlan

396,501 views • 6 months ago

Imagine a Google product being THIS retarded at search. YouTube search SUCKS example 876: Today's video about Tesla earnings? Buried after ~6,900 other videos, below many videos with 0 views. Despite being about Tesla, title incl "Tesla", timestamps/chapters include "Tesla", tags include "Tesla", transcript includes "Tesla". I talk to YT support and ask WTF. I show them this video. Their response? "YouTube's search engine aims to provide users with the most relevant results. These results may include videos, channels, playlists, and live streams". All I get is a bunch of braindead canned response. Zero IQ involved. No color on this specific issue. You can't possibly tell me these search results (in this order) make any sense. I would love for YouTube Creators to please explain why YouTube is ranking this video where it is on the search results, and why support was unable to provide anything but embarrassing canned responses in the face of this extremely embarrassing situation. FWIW, I did contact support first (before putting YT on blast) but that act of good faith was not helpful. Maybe THIS will produce an acceptable response. There are two I can think of 1. "This is a bug" 2. "Our search rank algo is absolutely retarded"
3:58

Imagine a Google product being THIS retarded at search. YouTube search SUCKS example 876: Today's video about Tesla earnings? Buried after ~6,900 other videos, below many videos with 0 views. Despite being about Tesla, title incl "Tesla", timestamps/chapters include "Tesla", tags include "Tesla", transcript includes "Tesla". I talk to YT support and ask WTF. I show them this video. Their response? "YouTube's search engine aims to provide users with the most relevant results. These results may include videos, channels, playlists, and live streams". All I get is a bunch of braindead canned response. Zero IQ involved. No color on this specific issue. You can't possibly tell me these search results (in this order) make any sense. I would love for YouTube Creators to please explain why YouTube is ranking this video where it is on the search results, and why support was unable to provide anything but embarrassing canned responses in the face of this extremely embarrassing situation. FWIW, I did contact support first (before putting YT on blast) but that act of good faith was not helpful. Maybe THIS will produce an acceptable response. There are two I can think of 1. "This is a bug" 2. "Our search rank algo is absolutely retarded"

stevenmarkryan

12,371 views • 5 months ago

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!
1:33

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!

Sharpe AI

263,278 views • 1 year ago

24 hours in > 3000+ visitors > 550+ signups > 8 paying users so far 3 new features added > schema > search engine results page > web vitals next, i am adding 2 big things > pSEO > AEO, GEO, and AI search optimization once pSEO and AEO, GEO, and AI search optimization are live, the price will go from $5 to $9. if you grab it now at $5, you'll get all of this for free when it ships. i want to make it an all-in-one seo toolkit.
0:49

24 hours in > 3000+ visitors > 550+ signups > 8 paying users so far 3 new features added > schema > search engine results page > web vitals next, i am adding 2 big things > pSEO > AEO, GEO, and AI search optimization once pSEO and AEO, GEO, and AI search optimization are live, the price will go from $5 to $9. if you grab it now at $5, you'll get all of this for free when it ships. i want to make it an all-in-one seo toolkit.

Kalash

33,674 views • 6 months ago

Today, Search Live is available in English in the U.S. — no Labs opt-in required. ✨ You can now have a free-flowing, back-and-forth conversation with Search using your voice and phone camera. Live in Search combines the power of Google Lens and AI Mode to see and accurately identify objects in front of you. This allows Search to understand exactly what you are looking at and help you find the most relevant information across the web to respond to your questions in real time. Try it today by tapping Live in the Google app (iOS and Android) or Lens, and let us know what you think!
1:05

Today, Search Live is available in English in the U.S. — no Labs opt-in required. ✨ You can now have a free-flowing, back-and-forth conversation with Search using your voice and phone camera. Live in Search combines the power of Google Lens and AI Mode to see and accurately identify objects in front of you. This allows Search to understand exactly what you are looking at and help you find the most relevant information across the web to respond to your questions in real time. Try it today by tapping Live in the Google app (iOS and Android) or Lens, and let us know what you think!

Google AI

48,572 views • 10 months ago

Screw it. I've been gatekeeping this, but here's a pro tip. Want to search someone's entire record on They try to make it difficult and force you to search court by court - one at a time. But I hacked the system. If you select Housing Court and then make the Court Location not match the Court Department, you can search by name and it brings up every case that person has had in every court. You're welcome!
0:23

Screw it. I've been gatekeeping this, but here's a pro tip. Want to search someone's entire record on They try to make it difficult and force you to search court by court - one at a time. But I hacked the system. If you select Housing Court and then make the Court Location not match the Court Department, you can search by name and it brings up every case that person has had in every court. You're welcome!

Michael Welsh

232,231 views • 26 days ago

This story about how Zuck pushed Aditya Agarwal to his extreme & made him build the search engine in the early days is awesome! Aditya was one of the early engg in Facebook & in week 2 of joining he was still figuring out what to do,none were giving any directions. Mark walked upto him & asked him to build a search engine -just him he didn't mean a team. Because people want to search for others through the search engine in Facebook & this is crucial. Aditya was pretty skeptical about himself as he didn't know how to build one. He suggested hiring someone from Google or Yahoo to build this out, Mark was like: "Dude if I can build Facebook you can build a damn search engine" And he actually ended up doing it! Still now he shares this lesson from this defining moment of his life to every founders - Anything could be done if you'd put your mind into it.
2:10

This story about how Zuck pushed Aditya Agarwal to his extreme & made him build the search engine in the early days is awesome! Aditya was one of the early engg in Facebook & in week 2 of joining he was still figuring out what to do,none were giving any directions. Mark walked upto him & asked him to build a search engine -just him he didn't mean a team. Because people want to search for others through the search engine in Facebook & this is crucial. Aditya was pretty skeptical about himself as he didn't know how to build one. He suggested hiring someone from Google or Yahoo to build this out, Mark was like: "Dude if I can build Facebook you can build a damn search engine" And he actually ended up doing it! Still now he shares this lesson from this defining moment of his life to every founders - Anything could be done if you'd put your mind into it.

Aish

630,651 views • 1 year ago

Perplexity founder Aravind Srinivas explains the “user is never wrong” philosophy of Larry Page Aravind recounts a story of Larry Page’s meeting with the CEO of Excite. Excite was the #2 search engine behind Yahoo at the time, and they were interested in buying Google. The two CEOs compared the search results of their products side-by-side. When Google’s results were clearly better, Excite’s CEO tried to excuse his product’s performance: “If you typed the query this way, it would’ve worked.” Aravind believes this is an important difference in philosophy between Google and Excite. Larry Page believed that a search engine should give high quality answers regardless of what the user typed: “You do all the magic behind the scenes so that even if the user was lazy, even if there were typos… they still got the answer and they love the product.” Today Google dominates search, and most people have never heard of Excite. Aravind believes the best AI products will adopt this same philosophy and that “prompt engineering” won’t be a long-term thing. “I think you want to make products work where a user doesn’t even ask for something. You know that they want it and you give it to them… People are lazy and a better product should be one that allows you to be more lazy, not less. Products need to have some magic to them, and the magic comes from letting you be more lazy.” Video Source: Lex Fridman
1:56

Perplexity founder Aravind Srinivas explains the “user is never wrong” philosophy of Larry Page Aravind recounts a story of Larry Page’s meeting with the CEO of Excite. Excite was the #2 search engine behind Yahoo at the time, and they were interested in buying Google. The two CEOs compared the search results of their products side-by-side. When Google’s results were clearly better, Excite’s CEO tried to excuse his product’s performance: “If you typed the query this way, it would’ve worked.” Aravind believes this is an important difference in philosophy between Google and Excite. Larry Page believed that a search engine should give high quality answers regardless of what the user typed: “You do all the magic behind the scenes so that even if the user was lazy, even if there were typos… they still got the answer and they love the product.” Today Google dominates search, and most people have never heard of Excite. Aravind believes the best AI products will adopt this same philosophy and that “prompt engineering” won’t be a long-term thing. “I think you want to make products work where a user doesn’t even ask for something. You know that they want it and you give it to them… People are lazy and a better product should be one that allows you to be more lazy, not less. Products need to have some magic to them, and the magic comes from letting you be more lazy.” Video Source: Lex Fridman

Startup Archive

137,736 views • 2 years ago

Searching 32 million records in 30 milliseconds is insane! I don't know how large your database is, but there's no reason your search results are slower than this. typesense | is a crazy fast open-source search engine. They are like ElasticSearch but way easier to set up, configure, and use. They are sponsoring this post. You can do all of this with Typesense: • Fuzzy search: Typo-tolerant fuzzy search-as-you-type • Vector search: Return records that are similar to each other • Semantic search: Return records that are conceptually related • Geo Search: Return records that are close to a given lat/long They have client libraries in Python, JavaScript, PHP, Ruby, Go, Rust, Swift, .Net, Java, and pretty much any other programming language out there. You can start searching in less than a minute: 1. Run their Docker image (or one of their native binaries) 2. Import your data 3. Start searching! GitHub repository: I recorded a quick video to show you a demo. I promise you haven't seen something this fast! This is the best upgrade you'll make to your application this year. Guaranteed.
2:38

Searching 32 million records in 30 milliseconds is insane! I don't know how large your database is, but there's no reason your search results are slower than this. typesense | is a crazy fast open-source search engine. They are like ElasticSearch but way easier to set up, configure, and use. They are sponsoring this post. You can do all of this with Typesense: • Fuzzy search: Typo-tolerant fuzzy search-as-you-type • Vector search: Return records that are similar to each other • Semantic search: Return records that are conceptually related • Geo Search: Return records that are close to a given lat/long They have client libraries in Python, JavaScript, PHP, Ruby, Go, Rust, Swift, .Net, Java, and pretty much any other programming language out there. You can start searching in less than a minute: 1. Run their Docker image (or one of their native binaries) 2. Import your data 3. Start searching! GitHub repository: I recorded a quick video to show you a demo. I promise you haven't seen something this fast! This is the best upgrade you'll make to your application this year. Guaranteed.

Santiago

172,755 views • 1 year ago

After several years of declining search traffic, Condé Nast CEO Roger Lynch has directed all the company's brands to operate as if search traffic to their properties will be zero. He says the era of turning search and social media traffic into profitable businesses is gone. And that if you run a media business that doesn't have an authoritative brand, a very strong niche, or a direct audience, you're going to be fighting hostile algo changes all the way down. He describes a recent board meeting: "We took a snapshot of search results from seven or eight years ago. And what you saw were a few sponsored links, then the ten blue links." "Do the same search today, you get an AI overview, then you get rows and rows and rows of commerce links, then you get sponsored stuff." "Each of the last three years, we would do our budgets, and we'd put forecasts in of search traffic declining. Because we'd seen the pattern of algorithm changes. And generally those algorithm changes were negative." "Every year, our search traffic was down more than we had forecast. So last year I told our teams, 'Assume there's no search.' You have to have your businesses planned as if search is zero. We don't expect it to be zero, we expect it to be a single-digit percentage of our traffic."
2:32

After several years of declining search traffic, Condé Nast CEO Roger Lynch has directed all the company's brands to operate as if search traffic to their properties will be zero. He says the era of turning search and social media traffic into profitable businesses is gone. And that if you run a media business that doesn't have an authoritative brand, a very strong niche, or a direct audience, you're going to be fighting hostile algo changes all the way down. He describes a recent board meeting: "We took a snapshot of search results from seven or eight years ago. And what you saw were a few sponsored links, then the ten blue links." "Do the same search today, you get an AI overview, then you get rows and rows and rows of commerce links, then you get sponsored stuff." "Each of the last three years, we would do our budgets, and we'd put forecasts in of search traffic declining. Because we'd seen the pattern of algorithm changes. And generally those algorithm changes were negative." "Every year, our search traffic was down more than we had forecast. So last year I told our teams, 'Assume there's no search.' You have to have your businesses planned as if search is zero. We don't expect it to be zero, we expect it to be a single-digit percentage of our traffic."

TBPN

328,965 views • 2 months ago

Building an Agentic Search System Building an agentic system is not too hard. Loops, function calling, tool execution, and the model. That's it! I show in this video how to build a search agent from scratch. ~350 lines of code!
13:01

Building an Agentic Search System Building an agentic system is not too hard. Loops, function calling, tool execution, and the model. That's it! I show in this video how to build a search agent from scratch. ~350 lines of code!

elvis

57,290 views • 1 year 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

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.
2:30

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Riley Brown

31,043 views • 1 year ago

Tully & Ohara SERT SEARCH: “Start of search” We know that the SERT team waited for Brian Tully to arrive at 34 Fairview so he could show them WHERE to search and WHAT they would be searching for. Today- Ohara claimed he started the search at 5:25 PM. That was not only a change in testimony from the last trial, but it also completely contradicts Brian Tully from the last trial. Trial 1- Brian Tully claimed he didn’t arrive to Fairview until 5:30 PM. He also claims there was only 2 officers from SERT present at that time. (Video) So how is it that Ohara now all of a sudden began the search before Brian Tully even arrived ?
0:20

Tully & Ohara SERT SEARCH: “Start of search” We know that the SERT team waited for Brian Tully to arrive at 34 Fairview so he could show them WHERE to search and WHAT they would be searching for. Today- Ohara claimed he started the search at 5:25 PM. That was not only a change in testimony from the last trial, but it also completely contradicts Brian Tully from the last trial. Trial 1- Brian Tully claimed he didn’t arrive to Fairview until 5:30 PM. He also claims there was only 2 officers from SERT present at that time. (Video) So how is it that Ohara now all of a sudden began the search before Brian Tully even arrived ?

Joe Flipperhead

36,545 views • 1 year ago