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Search was built for humans: one query, one results page. AI agents don’t search like that. They attack a problem from 50 angles at once. Most search APIs are still just the human workflow wrapped in an endpoint. Octen rebuilt the stack from the ground up for machines—indexing, ranking,... show more

Not Jerome Powell

1,631,125 subscribers

41,228 次观看 • 2 个月前 •via X (Twitter)

科学技术财经

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Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Today, we’re launching the Parallel Search API, the most accurate web search for AI agents, built using our proprietary web index and retrieval infrastructure. Traditional search ranks URLs for humans to click. AI search needs something different: the right tokens in their context window. Parallel’s Search API is built from the ground up for AI agents, resulting in higher accuracy, lower costs, and lower latency for end-to-end agentic workflows.

Parallel Web Systems

669,725 次观看 • 10 个月前

Introducing /search - the simplest way for agents and devs to discover the web 👀 Our #1 most requested endpoint is finally here. Search the web AND scrape all results in an LLM-ready format with one API call. Now live on our API, MCP, and all integrations 🔥

Introducing /search - the simplest way for agents and devs to discover the web 👀 Our #1 most requested endpoint is finally here. Search the web AND scrape all results in an LLM-ready format with one API call. Now live on our API, MCP, and all integrations 🔥

Firecrawl

390,772 次观看 • 1 年前

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

We’re officially a YOUnicorn! 🦄 Excited to share that You.com just raised $100M Series C at a $1.5B valuation, led by Cox Enterprises. We’ve been heads down building the search infrastructure for the AI and agent future. Soon there will be more AI agents using the web than humans, but today's search wasn't built for this. Agents need deep, contextual information from both public web and internal private data to make real decisions. Our web search API delivers the most up-to-date, accurate, and fastest search results for LLMs and agents. Real benchmarks show we consistently outperform the competition on accuracy and speed while staying cost-effective. Today, we’re answering over 1 billion queries every month across enterprises like DuckDuckGo, Windsurf, Harvey, and many others. There is no other startup of recent years at this scale. Grateful to our wonderful employees, customers, partners, and investors who believe in our vision. The agentic era is here - let's build it together. Try our LLM search APIs.

Richard Socher

63,660 次观看 • 1 年前

Introducing ClawSearch - the first search engine built for AI agents, not humans. Every API response. Every content format. Every feature. Designed from day one for agents to read/write. Live now → For OpenClaw🦞 Peter Steinberger 🦞.

Introducing ClawSearch - the first search engine built for AI agents, not humans. Every API response. Every content format. Every feature. Designed from day one for agents to read/write. Live now → For OpenClaw🦞 Peter Steinberger 🦞.

YQ

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Have you tried AI Contextual Search inside OptimAI yet? Search isn’t just search anymore. We’ve rebuilt it from the ground up to feel like an intelligent signal detector inside the chaos of the internet. 🔍 AI Contextual Search now: • Understands meaning, not just keywords • Filters out noise and irrelevant posts automatically • Surfaces the exact insight you’re looking for • Learns from your context, domain, and intent • Works at scale thanks to the growing nodes - powering the OptimAI Network This is what happens when decentralized compute meets agentic intelligence - fast, deep, contextual understanding in real time. And yes… it’s already live. Show us the smartest search results your OptimAI agent found today. 😎 We’d love to see how far you can push it. 👉

Have you tried AI Contextual Search inside OptimAI yet? Search isn’t just search anymore. We’ve rebuilt it from the ground up to feel like an intelligent signal detector inside the chaos of the internet. 🔍 AI Contextual Search now: • Understands meaning, not just keywords • Filters out noise and irrelevant posts automatically • Surfaces the exact insight you’re looking for • Learns from your context, domain, and intent • Works at scale thanks to the growing nodes - powering the OptimAI Network This is what happens when decentralized compute meets agentic intelligence - fast, deep, contextual understanding in real time. And yes… it’s already live. Show us the smartest search results your OptimAI agent found today. 😎 We’d love to see how far you can push it. 👉

OptimAI

33,989 次观看 • 10 个月前

📍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

📍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 次观看 • 2 年前

✨ 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 how do I make this work? I asked Claude Code and built a Dnsmasq DNS server that routes all regular DNS queries to Cloudflare but for home . microsoft . com it hijacks it and sends it to my own server Then I let Nginx respond to that doamin and show the Altavista Search sidebar, I had to rebuild the design from a video on YouTube because I couldn't find any actual archeological remains of it anymore Also Altavista Search of course doesn't exist anymore so it can't respond to queries either so I use a SERP API to query search results from Google and display them instead This is stuff I wouldn't even be close to doing before AI, I'd have no idea how to configure Dnsmasq to spoof queries like this The search engine results are proxied via my HTTP proxy so MSIE4 can open most sites (because old browsers don't support HTTPS and most JS!)

✨ 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 how do I make this work? I asked Claude Code and built a Dnsmasq DNS server that routes all regular DNS queries to Cloudflare but for home . microsoft . com it hijacks it and sends it to my own server Then I let Nginx respond to that doamin and show the Altavista Search sidebar, I had to rebuild the design from a video on YouTube because I couldn't find any actual archeological remains of it anymore Also Altavista Search of course doesn't exist anymore so it can't respond to queries either so I use a SERP API to query search results from Google and display them instead This is stuff I wouldn't even be close to doing before AI, I'd have no idea how to configure Dnsmasq to spoof queries like this The search engine results are proxied via my HTTP proxy so MSIE4 can open most sites (because old browsers don't support HTTPS and most JS!)

@levelsio

84,505 次观看 • 7 个月前

This is the DeepSeek moment of Search? A small team of cracked engineers built a search API for AI agents that outperforms everything built with 20x the funding. AI systems are about to become the biggest users of information on Earth. They don’t need a better Google. They need a retrieval layer built for reasoning, scale, and access beyond the web. That’s what we’re building. 1/3

This is the DeepSeek moment of Search? A small team of cracked engineers built a search API for AI agents that outperforms everything built with 20x the funding. AI systems are about to become the biggest users of information on Earth. They don’t need a better Google. They need a retrieval layer built for reasoning, scale, and access beyond the web. That’s what we’re building. 1/3

Valyu

1,135,072 次观看 • 11 个月前

$An audition from a few years ago, and yes, I still stay in touch with a few. Have you applied for the latest boyfriend search? \$

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An audition from a few years ago, and yes, I still stay in touch with a few. Have you applied for the latest boyfriend search? \

Larkin Love

17,628 次观看 • 1 年前

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!

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

263,308 次观看 • 1 年前

Today, we're excited to introduce Genspark: The AI Agent Engine that Reinvents Search. Traditional search engines, burdened with ads, spam, and biased information, render simple tasks like planning a trip or researching products frustratingly time-consuming. Despite some recent AI enhancements to traditional search, they still face significant integration challenges due to the existing business model and the myriad issues of a broken web. And while some search services have indeed made notable advances with AI-driven summaries, these efforts only scratch the surface of what users truly need. Many are looking for deeper, more thorough analyses and a variety of other search requirements that brief summaries simply can't fulfill. Genspark reinvents the search landscape through our advanced AI agent engine. Our agents perform extensive research and generate customized Sparkpages for each query, saving users' time by doing the heavy lifting. These pages are meticulously crafted, free from commercial biases, and sourced from a wide array of reliable information to deliver richer, more relevant results. Moreover, Genspark draws inspiration from GitHub to foster a collaborative digital environment where users can contribute to, enhance, and discuss content, creating a dynamic platform for those seeking a more interactive and efficient search experience. Check out how Genspark works in the thread below, and join us in redefining search!

Today, we're excited to introduce Genspark: The AI Agent Engine that Reinvents Search. Traditional search engines, burdened with ads, spam, and biased information, render simple tasks like planning a trip or researching products frustratingly time-consuming. Despite some recent AI enhancements to traditional search, they still face significant integration challenges due to the existing business model and the myriad issues of a broken web. And while some search services have indeed made notable advances with AI-driven summaries, these efforts only scratch the surface of what users truly need. Many are looking for deeper, more thorough analyses and a variety of other search requirements that brief summaries simply can't fulfill. Genspark reinvents the search landscape through our advanced AI agent engine. Our agents perform extensive research and generate customized Sparkpages for each query, saving users' time by doing the heavy lifting. These pages are meticulously crafted, free from commercial biases, and sourced from a wide array of reliable information to deliver richer, more relevant results. Moreover, Genspark draws inspiration from GitHub to foster a collaborative digital environment where users can contribute to, enhance, and discuss content, creating a dynamic platform for those seeking a more interactive and efficient search experience. Check out how Genspark works in the thread below, and join us in redefining search!

Genspark

29,800 次观看 • 2 年前

Today we are announcing Keenable AI, an AI-native index of the best human knowledge we have, starting with the open web. AI seems to know just about everything until you ask it about something you know deeply. The answer isn’t wrong, but it's just very average. We started Keenable to fix this problem: every model and every agent should be able to query, reason over, and continuously learn from the living web. Backed by a $26M Seed from Accel and Conviction. Built by the team that took on Google at Yandex Search, with researchers and engineers from Amazon AGI, X, and Perplexity. The Web Search API and Web Query Language for AI are live now. Together they make the web queryable at AI scale. Both are free until end of September. Seven days of benchmarks, stories, and launches ahead. Let your agents search.

Today we are announcing Keenable AI, an AI-native index of the best human knowledge we have, starting with the open web. AI seems to know just about everything until you ask it about something you know deeply. The answer isn’t wrong, but it's just very average. We started Keenable to fix this problem: every model and every agent should be able to query, reason over, and continuously learn from the living web. Backed by a $26M Seed from Accel and Conviction. Built by the team that took on Google at Yandex Search, with researchers and engineers from Amazon AGI, X, and Perplexity. The Web Search API and Web Query Language for AI are live now. Together they make the web queryable at AI scale. Both are free until end of September. Seven days of benchmarks, stories, and launches ahead. Let your agents search.

Andrey Styskin

550,155 次观看 • 27 天前

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.

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 次观看 • 8 个月前

What happens when there are more agents than eyeballs browsing the internet? How will the economics of the internet be reinvented? Parag Agrawal thinks Shapley values may hold the answer. Parag built Twitter over a decade, eventually becoming CEO and selling the company to Elon. He's spent the last three years building Parallel Web Systems, a search engine built for agents instead of humans. His core argument: 1) human click data is a bug. Agents aren't just a new technology, they're a distinct customer – and the feedback loop that made Google great is the wrong signal for the thing actually doing the work; 2) the ad-funded web assumed scarce human attention. If agents show up instead of eyeballs, the business model underneath the internet has to be rebuilt, or good content stops being published. The conversation covers: — why he shipped a search agent before a search engine, and how that let him grow the index incrementally instead of buying a full web crawl up front — the billion-to-billion matching problem: pull the right 1,000 tokens out of a trillion web pages, and your agent uses under half the tokens — going from a 3-second compute budget to 200 milliseconds — why he doesn't think Parallel is a neo-lab: "our output is a complement to a model" — the Google Cloud deal — on GCP, your grounding options are now Google Search or Parallel Search — reinventing the economics of the internet, Shapley values as a payment rail for publishers, and why the company was originally incorporated as Shapley Inc — why routing 2-10% of inference spend to web data would dwarf every content business outside the walled gardens — the web going from pull to push: "call me if this happens" 00:00 Introduction 03:25 What Is Web Search 05:17 Why Start a New Index 07:52 Search Agents First 10:17 Not a Neolab 13:14 Agents vs Google Search 19:38 Inside the Search Stack 28:59 Search Multipliers With Agents 30:21 Meeting Prep Agent Workflows 31:46 Quality Cost Latency And Turbo 32:42 Are Agents Overtaking Humans 34:28 Ads Model Meets Agent Web 37:20 New Incentives For Content 40:48 Shapley Values Attribution 47:46 Parallel Web And Future Vision Hosted with my very unwilling co-host Andrew Reed and Sequoia Capital

What happens when there are more agents than eyeballs browsing the internet? How will the economics of the internet be reinvented? Parag Agrawal thinks Shapley values may hold the answer. Parag built Twitter over a decade, eventually becoming CEO and selling the company to Elon. He's spent the last three years building Parallel Web Systems, a search engine built for agents instead of humans. His core argument: 1) human click data is a bug. Agents aren't just a new technology, they're a distinct customer – and the feedback loop that made Google great is the wrong signal for the thing actually doing the work; 2) the ad-funded web assumed scarce human attention. If agents show up instead of eyeballs, the business model underneath the internet has to be rebuilt, or good content stops being published. The conversation covers: — why he shipped a search agent before a search engine, and how that let him grow the index incrementally instead of buying a full web crawl up front — the billion-to-billion matching problem: pull the right 1,000 tokens out of a trillion web pages, and your agent uses under half the tokens — going from a 3-second compute budget to 200 milliseconds — why he doesn't think Parallel is a neo-lab: "our output is a complement to a model" — the Google Cloud deal — on GCP, your grounding options are now Google Search or Parallel Search — reinventing the economics of the internet, Shapley values as a payment rail for publishers, and why the company was originally incorporated as Shapley Inc — why routing 2-10% of inference spend to web data would dwarf every content business outside the walled gardens — the web going from pull to push: "call me if this happens" 00:00 Introduction 03:25 What Is Web Search 05:17 Why Start a New Index 07:52 Search Agents First 10:17 Not a Neolab 13:14 Agents vs Google Search 19:38 Inside the Search Stack 28:59 Search Multipliers With Agents 30:21 Meeting Prep Agent Workflows 31:46 Quality Cost Latency And Turbo 32:42 Are Agents Overtaking Humans 34:28 Ads Model Meets Agent Web 37:20 New Incentives For Content 40:48 Shapley Values Attribution 47:46 Parallel Web And Future Vision Hosted with my very unwilling co-host Andrew Reed and Sequoia Capital

Sonya Huang 🐥

127,791 次观看 • 26 天前

Layla’s Surprise — A MySpace Exclusive. Straight from 2006. Me dancing during the Diva Search, wearing the same outfit I wore for the Diva Search talent competition with Luke Perry. This was just before I headed to NYC for the 2006 Diva Search finale. 20 years later, I had to bring this one out of the archives. More memories like this on LayTalk Podcast. 💋

Layla’s Surprise — A MySpace Exclusive. Straight from 2006. Me dancing during the Diva Search, wearing the same outfit I wore for the Diva Search talent competition with Luke Perry. This was just before I headed to NYC for the 2006 Diva Search finale. 20 years later, I had to bring this one out of the archives. More memories like this on LayTalk Podcast. 💋

Layla El

20,847 次观看 • 15 天前

in 1995, Elon Musk wrote three papers in University (Wharton). one was on a search engine for the internet. one was on electric cars. one was on solar energy. Google launched 3 years later. and he built the other two.

in 1995, Elon Musk wrote three papers in University (Wharton). one was on a search engine for the internet. one was on electric cars. one was on solar energy. Google launched 3 years later. and he built the other two.

Damian Player

580,572 次观看 • 4 个月前

The IDF said Home Front Command search and rescue forces extracted three civilians from rubble at a missile impact site in central Israel following an Iranian strike that killed one person. Troops are continuing extensive search operations at the scene in coordination with national emergency services.

The IDF said Home Front Command search and rescue forces extracted three civilians from rubble at a missile impact site in central Israel following an Iranian strike that killed one person. Troops are continuing extensive search operations at the scene in coordination with national emergency services.

Joe Truzman

13,409 次观看 • 6 个月前