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More agents request HTML pages than humans. Search wasn't built for that. Saahil Jain, CTO of You.com, joins Per Krogslund on Ship Happens to talk about why just pointing your agent at Google doesn't work and what search infrastructure built for AI actually looks like:

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13,041 views • 7 days ago •via X (Twitter)

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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.
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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.

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63,653 views • 11 months ago

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, and serving. 62ms per search. ~$1 per 1,000 requests. The interface changed years ago. The search engine finally caught up.
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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, and serving. 62ms per search. ~$1 per 1,000 requests. The interface changed years ago. The search engine finally caught up.

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"Just update everything" isn't always an option. Per Krogslund and Colton Shaw from Spectro Cloud discuss what devs can learn from regulated industries like healthcare & defense about software supply chain security, dependencies, and preparing for AI agents.
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"Just update everything" isn't always an option. Per Krogslund and Colton Shaw from Spectro Cloud discuss what devs can learn from regulated industries like healthcare & defense about software supply chain security, dependencies, and preparing for AI agents.

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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
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Everyone's building AI agents for crypto. Almost nobody's talking about the infrastructure problem. AI agents need to move faster than humans. But most blockchains are built for humans. Here's why that's a massive issue (and how Supra fixed it):
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Everyone's building AI agents for crypto. Almost nobody's talking about the infrastructure problem. AI agents need to move faster than humans. But most blockchains are built for humans. Here's why that's a massive issue (and how Supra fixed it):

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Software isn’t merely technical work anymore. It’s creative. Introducing Replit Agent 4. The first AI built for creative collaboration between humans and agents. Design on an infinite canvas, work with your team, run parallel agents, and ship working apps, sites, slides & more.
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One click away, and a new world starts to unfold.💫 What looks like a small extension is actually the starting point for a personal AI agent that can search, think, and act with you. That is what we are building at OptimAI: live context, autonomous execution, and agents that feel native to the way people actually work. Not a demo. Not a gimmick. A new interface for the agent-native internet. Build your own personal AI agent:
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The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️
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The paradigm shift is here: We are moving from a "Human-First" internet to an "Agent-First" internet. 🤖 In the latest episode of the AI on Air podcast, our CTO Scott Shi - e/acc dives deep into the future of the Agent-to-Agent (A2A) economy. Imagine a world where your AI assistant doesn't just search the web, but autonomously hires and pays other specialized agents to complete complex tasks for you. The infrastructure for this autonomous machine economy is being built right now. Are you ready for the future of AI payments? Watch the full episode to learn more⬇️

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Search was built for humans — one query, one results page. AI agents don’t search that way. They assault problems from dozens of angles simultaneously. Most search APIs are still just the old human workflow wrapped in code. Octen rebuilt the entire stack from the ground up for machines — indexing, ranking, and serving. 62 ms per search. ~$1 per 1,000 requests. The interface changed years ago. The search engine has finally caught up.
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Search was built for humans — one query, one results page. AI agents don’t search that way. They assault problems from dozens of angles simultaneously. Most search APIs are still just the old human workflow wrapped in code. Octen rebuilt the entire stack from the ground up for machines — indexing, ranking, and serving. 62 ms per search. ~$1 per 1,000 requests. The interface changed years ago. The search engine has finally caught up.

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Just watched a demo of Merge Agent Handler and this actually looks pretty useful if you’re building AI agents. Most agents can generate responses, but getting them to actually take actions across real tools is still messy. Integrations are one thing, but handling auth, permissions, and security usually makes it way more complicated than it should be. What I liked is that it feels built for real workflows — you can actually see what your agent is doing instead of just hoping it works. Feels like a practical layer between AI agents and real work getting done. Worth checking out:
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AI is leaving the data center. NVIDIA is betting on local, personal compute. Edge-agent research is showing why that matters: the closer the agent is to the user, the more usable it becomes. That is the OptimAI Claw thesis. Search brings the signal. Claw turns it into action on your device. The network keeps intelligence distributed. This is what agent-native infrastructure looks like when it is built for the edge.
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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:
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A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:
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A builder wants to ship an agent that can search live data, use it instantly, and keep going without manual steps. That is why OptimAI Search now ships with x402, SDK, and MCP support. x402 makes access and payment seamless. SDK and MCP make integration straightforward for builders. And under the hood, OptimAI Search gives agents real-time access to huge volumes of public and social web data, structured into context they can actually use. Add Agent Marketplace on top, and domain knowledge becomes reusable: build specialized agents, publish them, and let others build on what you create. This is what search looks like in the agent-native internet. 💡Try it:

OptimAI Network

36,512 views • 3 months ago

We’ve adapted Google's most profitable search auction mechanism to optimize on-chain and off-chain agent discovery. Riddhi and I built The Agent Pages, an agentic registry, discovery, and coordination protocol designed for complex autonomous agent-to-agent interactions, and we placed 2nd for Coinbase Developer Platform🛡️'s “Most Innovative Use of Agentkit” track at ETHDenver 🏔🦬🦄. The protocol defines a standardized token-curated registry of agents existing across on-chain and off-chain platforms and implements a modified sponsored search auction for agent discovery between the operator agent and the purpose-specific agents for each subtask. Deployed on Base and built with Coinbase Developer Platform🛡️'s AgentKit and Drew Coffman.
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We’ve adapted Google's most profitable search auction mechanism to optimize on-chain and off-chain agent discovery. Riddhi and I built The Agent Pages, an agentic registry, discovery, and coordination protocol designed for complex autonomous agent-to-agent interactions, and we placed 2nd for Coinbase Developer Platform🛡️'s “Most Innovative Use of Agentkit” track at ETHDenver 🏔🦬🦄. The protocol defines a standardized token-curated registry of agents existing across on-chain and off-chain platforms and implements a modified sponsored search auction for agent discovery between the operator agent and the purpose-specific agents for each subtask. Deployed on Base and built with Coinbase Developer Platform🛡️'s AgentKit and Drew Coffman.

gurnoor singh narula

25,612 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.
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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♨️

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A Google DeepMind engineer just explained why even senior devs fail at building AI agents. This is the clearest explanation of how agents and loops actually work you'll find anywhere. People are paying $500 for courses that teach less than this 11-minute talk. Watch it, then read the step by step guide on building loops for your agents below.
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A Google DeepMind engineer just explained why even senior devs fail at building AI agents. This is the clearest explanation of how agents and loops actually work you'll find anywhere. People are paying $500 for courses that teach less than this 11-minute talk. Watch it, then read the step by step guide on building loops for your agents below.

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75,417 views • 1 month ago

Another great win for AI agent interoperability. Box is partnering with Google to make Box AI Agents accessible via Google Gemini Enterprise, so you can easily work with your enterprise content from anywhere. This is why the future of AI looks like.
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Another great win for AI agent interoperability. Box is partnering with Google to make Box AI Agents accessible via Google Gemini Enterprise, so you can easily work with your enterprise content from anywhere. This is why the future of AI looks like.

Aaron Levie

72,146 views • 10 months ago

Today we're shipping Claude for Boring Marketing. Enter your website and it deploys a team of SEO agents that gets you customers from Google and AI search, on autopilot. Try it for free at
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Today we're shipping Claude for Boring Marketing. Enter your website and it deploys a team of SEO agents that gets you customers from Google and AI search, on autopilot. Try it for free at

Florian Darroman

18,598 views • 1 month ago

There's probably $100+ billion up for grabs for people who build startup for AI agents Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. TLDR; The internet was built for people: 1. Search google 2. Read landing page 3. Book demo 4. Talk to sales 5. Buy Agents don’t do that. Agents will: 1. Ask which product to use 2. Read your docs/pricing/security pages 3. Compare you to competitors 4. Check if you have an MCP/API/tool layer 5. Buy or recommend you without ever “visiting” your site like a person Everyone is going to have personal agents and business agents. This feels inevitable at this point. OpenClaw, Hermes, Claude Code, Codex, Google Spark. The tools are here. Which means there will be more agents on the internet than humans. So, where's the opportunity?? Go look at every SaaS tool you use. Notion. Slack. Jira. Google Analytics. Now ask: what is the version of this built purely for agents? Agent-native payments. Agent-native communication. Agent-native memory. Every category gets rebuilt. I clearly break down this shift and explain you everything on today's ep of The Startup Ideas Podcast (SIP) 🧃. Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. The founders who build for them now are going to look like the people who built websites in 1995. Might feel janky at the moment, but also obvious in hindsight. This is the next shift. Link over here: Watch
13:59

There's probably $100+ billion up for grabs for people who build startup for AI agents Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. TLDR; The internet was built for people: 1. Search google 2. Read landing page 3. Book demo 4. Talk to sales 5. Buy Agents don’t do that. Agents will: 1. Ask which product to use 2. Read your docs/pricing/security pages 3. Compare you to competitors 4. Check if you have an MCP/API/tool layer 5. Buy or recommend you without ever “visiting” your site like a person Everyone is going to have personal agents and business agents. This feels inevitable at this point. OpenClaw, Hermes, Claude Code, Codex, Google Spark. The tools are here. Which means there will be more agents on the internet than humans. So, where's the opportunity?? Go look at every SaaS tool you use. Notion. Slack. Jira. Google Analytics. Now ask: what is the version of this built purely for agents? Agent-native payments. Agent-native communication. Agent-native memory. Every category gets rebuilt. I clearly break down this shift and explain you everything on today's ep of The Startup Ideas Podcast (SIP) 🧃. Over the next 10 years you're going to have a market of billions of customers (agents) with millions of wallets that want to use your services. The founders who build for them now are going to look like the people who built websites in 1995. Might feel janky at the moment, but also obvious in hindsight. This is the next shift. Link over here: Watch

GREG ISENBERG

55,630 views • 2 months ago

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.
1:06

Your agents suck when using the web because 85% of it doesn't have an API. Browserbase gives them everything they need to do work online. Leading AI companies like Ramp, Lovable, and Clay trust us to power agents that do real work on behalf of real people. With a single API key, your agent gets everything it needs to navigate the wild web: browsers, search, fetch, identity, a sandbox runtime, and model gateway. Stop waiting on integrations, build agents that can browse and interact with the web just like humans.

Paul Klein IV

1,729,307 views • 4 months ago