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Stop underestimating what AI web agents can do. TinyFish TinyFish scored 89.97% on the hardest public benchmark, leaving Google, OpenAI, and Anthropic far behind. This is the line between demos and real infrastructure. 👇

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SANI BULA

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478,509 görüntüleme • 5 ay önce •via X (Twitter)

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tinyfish web agent just scored 90% on mind2web bench outperforming gemini by 21 points, openai by 29 and anthropic by 34 and we published every single run - all 300 tasks ran in parallel - in a public spreadsheet check out our runs, and try them yourself 👇
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tinyfish web agent just scored 90% on mind2web bench outperforming gemini by 21 points, openai by 29 and anthropic by 34 and we published every single run - all 300 tasks ran in parallel - in a public spreadsheet check out our runs, and try them yourself 👇

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How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.
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How is the Web changing due to AI? This visit to TinyFish yesterday goes deeply into just how. TinyFish makes a new kind of web browser. One that is started virtually. It is like a Google Chrome in the cloud. But it is very smart, can read and use any website, and your AI agents can talk to it. Here we talk about what it all means for business and the future of robots, brain computer interfaces, and AI glasses. It lets you build systems that can look at MANY websites at the same time and build new kinds of apps to do all sorts of new things.

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Introducing web-agent, an open framework for building web agents 🔥 Build AI agents that search, scrape, and interact with the web - powered by the same architecture behind our /agent endpoint. 100% open source. Bring any model. Anthropic, OpenAI, or your own.

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“AI agents will outperform humans at almost all jobs by 2026–2027.” - The forecast is everywhere. So we built the exam to test that claim, on real labor-market aligned work. On the hardest tier, top agents pass 2.6%. Meet Agents' Last Exam (ALE), a rolling benchmark measuring whether agents can actually do real jobs. 🧵👇
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“AI agents will outperform humans at almost all jobs by 2026–2027.” - The forecast is everywhere. So we built the exam to test that claim, on real labor-market aligned work. On the hardest tier, top agents pass 2.6%. Meet Agents' Last Exam (ALE), a rolling benchmark measuring whether agents can actually do real jobs. 🧵👇

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Today, we’re introducing Decide Agent, a frontier-level AI agent for Excel analysis. Decide Agent scored 82.50% on SpreadsheetBench, the public standard benchmark for Excel AI agents, ranking #4 globally. This is the same leaderboard used by Claude, OpenAI, and Microsoft to evaluate their spreadsheet agents. We’re here to push the frontier in Excel and data analytics. Decide Agent is now generally available at trydecide . ai
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Today, we’re introducing Decide Agent, a frontier-level AI agent for Excel analysis. Decide Agent scored 82.50% on SpreadsheetBench, the public standard benchmark for Excel AI agents, ranking #4 globally. This is the same leaderboard used by Claude, OpenAI, and Microsoft to evaluate their spreadsheet agents. We’re here to push the frontier in Excel and data analytics. Decide Agent is now generally available at trydecide . ai

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This is Claude Code and OpenAI Codex on steroids. Warp 2.0 just dropped and here’s what it can do. (Free AI credits at the end 👇)

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The best AI researcher isn't a human anymore. We beat OpenAI, Google, and Anthropic on the biggest browser agent benchmark. Our researcher is an LLM + CLI that: → Spots its own failures → Finds the root cause → Fixes and loops - forever 🔥Watch it and tell me I'm wrong.

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If you are building agentic apps and want funding: The TinyFish Accelerator is looking for founders who want to build agents that navigate real web interfaces and execute real transactions. It's a 9-week accelerator program with a $2M seed pool. Here is what you get: • Free TinyFish API keys • Engineering support and product feedback from the team • Free credits + direct engineering access from partner companies • Weekly business mentorship sessions with founders and leaders • Off-the-record community meetups • Pitch directly to Robin Vasan (Mango Capital) To apply, you need a working app + record a demo, and publish it on X. So far, 18 founders have joined! I'm posting below 3 of my favorite applications. Apply → Applications are open until the end of March.
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If you are building agentic apps and want funding: The TinyFish Accelerator is looking for founders who want to build agents that navigate real web interfaces and execute real transactions. It's a 9-week accelerator program with a $2M seed pool. Here is what you get: • Free TinyFish API keys • Engineering support and product feedback from the team • Free credits + direct engineering access from partner companies • Weekly business mentorship sessions with founders and leaders • Off-the-record community meetups • Pitch directly to Robin Vasan (Mango Capital) To apply, you need a working app + record a demo, and publish it on X. So far, 18 founders have joined! I'm posting below 3 of my favorite applications. Apply → Applications are open until the end of March.

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Leaders of all top AI model makers from OpenAI, Anthropic, Google DeepMind including Indian models like Sarvam signing voluntary declarations on response AI development and use. At the historic #IndiaAIImpactSummit2026. Pardon the chatter behind
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My Hermes agent can now create LIVE datasets on the fly. Just added a real-time data layer to Hermes using the open-source TinyFish BigSet. First it builds the dataset. Then it finds the signal. This is WHAT agent-native research looks like in 2026.

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Here is an open-source tool to generate a complete dataset. 1. Describe the data you want 2. An orchestrator agent searches the web 3. Sub-agents run in parallel to fetch the data 4. You get a structured dataset you can download For example, you can run Bigset with the query "all leica lenses being sold on amazon", or "leica stores in kyoto with their opening hours and ratings". Bigset uses TinyFish's free Search and Fetch APIs in the background. You can configure it to refresh the data on a schedule. You can self-host it with your own keys. Here is the GitHub repository: You can get free TinyFish API keys here: Thanks to the TinyFish team for partnering with me on this post.

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Real-time, human-generated, diverse data from 600 million active users. This is the perfect fuel for AI models — and it's exactly what xAI needs to compete with OpenAI and Anthropic. The timing is remarkable:

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We're looking for founders building agentic apps. • This is the TinyFish Accelerator. • 9 weeks. • $2M seed pool. We want you to build agents that navigate real web interfaces and execute real transactions. We don't want wrappers. We want agents from the ground up. To apply, you need a working app + record a demo, and publish it on X. We have 15+ partner companies across the full stack: Google for Startups, v0 by Vercel, ElevenLabs, Fireworks, MongoDB, Composio, AgentOps, Dify, and more. They all will provide credits, API keys, and direct engineering support to every founder in the cohort. What you get: • Free TinyFish API keys • Engineering support and product feedback from the team • Free credits + direct engineering access from partner companies • Weekly business mentorship sessions with founders and leaders • Off-the-record community meetups • Pitch directly to Robin Vasan (Mango Capital) The applications are open starting today. Rolling admissions through March 29. Apply →

Santiago

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TinyFish just made web search + fetch FREE for every AI agent. No credit card. No hacks. Just plug and go. Works everywhere I actually build: • REST API • MCP (Claude, Cursor, Codex) • Python + TS SDKs • Claude Code + OpenClaw skills • LangChain / CrewAI And the best part? Full-browser fetch → clean markdown/JSON = no junk HTML = lower token costs = faster agents This is what agent stacks were missing. Try it:
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TinyFish just made web search + fetch FREE for every AI agent. No credit card. No hacks. Just plug and go. Works everywhere I actually build: • REST API • MCP (Claude, Cursor, Codex) • Python + TS SDKs • Claude Code + OpenClaw skills • LangChain / CrewAI And the best part? Full-browser fetch → clean markdown/JSON = no junk HTML = lower token costs = faster agents This is what agent stacks were missing. Try it:

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Altimeter's Brad Gerstner and Gavin Baker argued that $SPCX SpaceX's AI compute business is scaling far faster than most investors expected. They believe the market is still underestimating the value of AI infrastructure, models, and orbital compute. Coming up right behind $AMZN AWS, $MSFT Azure, and $GOOGL Cloud?
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Altimeter's Brad Gerstner and Gavin Baker argued that $SPCX SpaceX's AI compute business is scaling far faster than most investors expected. They believe the market is still underestimating the value of AI infrastructure, models, and orbital compute. Coming up right behind $AMZN AWS, $MSFT Azure, and $GOOGL Cloud?

Sam Badawi

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MAY THE 4TH BE WITH YOUR AGENTS... starting today, TinyFish's `Web Search` and `Fetch` are FREE 🤯 Hand-rolling Playwright scripts and watching messy DOMs explode your context limits used to feel like battling the Dark Side. Today, TinyFish brings balance to the Force. Their Search and Fetch layer is built specifically for AI agents, and it's now free. It uses a real full-browser render to strip out raw HTML, meaning you stop paying token bills for cookie banners and heavy JavaScript 💥 Plus, a free API is pointless if you have to build a custom bridge... so TinyFish lives natively inside the stack you already use. You can literally use it anywhere: • REST API • MCP (Claude, Cursor, Codex) • Python + TS SDKs • CLI + use-tinyfish Skill (Claude Code, Cursor, OpenCode) • OpenClaw (ClawHub skill) • Hermes Agent (Nous Research) • n8n · Dify · Vercel Skills • LangChain · CrewAI If you are building the trending PrepToMe workflows or high-speed Hermes agents, this is the exact drop-in retrieval engine you need. → Search returns rank-stable, structured JSON → Fetch renders dynamic SPAs and returns clean markdown → Integrates natively via MCP, Python/TS SDKs, or direct API There are even some Star Wars Easter eggs hidden on their site today :) 4 Jedi-approved use cases 🧵 ↓ 1/ Codex Medical Case
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MAY THE 4TH BE WITH YOUR AGENTS... starting today, TinyFish's `Web Search` and `Fetch` are FREE 🤯 Hand-rolling Playwright scripts and watching messy DOMs explode your context limits used to feel like battling the Dark Side. Today, TinyFish brings balance to the Force. Their Search and Fetch layer is built specifically for AI agents, and it's now free. It uses a real full-browser render to strip out raw HTML, meaning you stop paying token bills for cookie banners and heavy JavaScript 💥 Plus, a free API is pointless if you have to build a custom bridge... so TinyFish lives natively inside the stack you already use. You can literally use it anywhere: • REST API • MCP (Claude, Cursor, Codex) • Python + TS SDKs • CLI + use-tinyfish Skill (Claude Code, Cursor, OpenCode) • OpenClaw (ClawHub skill) • Hermes Agent (Nous Research) • n8n · Dify · Vercel Skills • LangChain · CrewAI If you are building the trending PrepToMe workflows or high-speed Hermes agents, this is the exact drop-in retrieval engine you need. → Search returns rank-stable, structured JSON → Fetch renders dynamic SPAs and returns clean markdown → Integrates natively via MCP, Python/TS SDKs, or direct API There are even some Star Wars Easter eggs hidden on their site today :) 4 Jedi-approved use cases 🧵 ↓ 1/ Codex Medical Case

Charly Wargnier

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Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.
1:25

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

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