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Parallel is now integrated with Zapier Use this integration to give any automation access to powerful structured web search, for example: - Slack bots that enrich leads - Inbound emails to trigger deep research reports - Market research agents Here's Kumar Saunack for a demo:

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Parallel Web Systems

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39,671 görüntüleme • 8 ay önce •via X (Twitter)

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OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.
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OptimAI Search just got better. Refreshed UI. Deeper research. More powerful context. Search across public + social web, process hundreds to thousands of real-time data points, and get structured, actionable outputs. Live at: OptimAI is currently the #1 AI on BNB Chain DappBay. Now integrated with Agent Marketplace: create your own agent, inject domain knowledge, and publish it for others to use and build on. Free to use with daily refresh credits. 💡Soon, builders will also be able to use OPI points for premium access and monetize agents that create real value for the community.

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DeepSeek R1 67B is web search-enabled Use it for research, collating news sources, and accessing up-to-date info on any topic

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This is a wild use case! I used Gamma + n8n to automatically generate a complete presentation on AI Agents research. In just minutes! It combines web search (for research), GPT-5 (narrative), and Gamma (for slide content generation). Full workflow breakdown below 👇

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FireCrawl just launched Fire Enrich. You can now upload a CSV with emails, and the AI agents will search the web to automatically fill in any missing data you need. Here’s how:
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FireCrawl just launched Fire Enrich. You can now upload a CSV with emails, and the AI agents will search the web to automatically fill in any missing data you need. Here’s how:

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5⃣ Deep Research is even smarter, rolling out for everyone to try. Today, we're giving Gemini users the ability to try Deep Research, your personal AI research assistant, at no cost. 🧠✨ Gemini Deep Research has been upgraded to 2.0 Flash Thinking Experimental. With this model’s advanced reasoning, Gemini is even better at all stages of research, from planning to delivering even more insightful and detailed reports. Gemini Advanced and qualifying enterprise users have expanded access to Deep Research to save even more time on their most complex projects. Try Deep Research:

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Today we’re releasing Deep Research Tulu (DR Tulu)—the first fully open, end-to-end recipe for long-form deep research, plus an 8B agent you can use right away. Train agents that plan, search, synthesize, & cite across sources, making expert research more accessible. 🧭📚

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Today we are launching something BIG! The most accurate and fastest web search APIs for AI agents Something which took us months to build Something so powerful that it lets your AI agent to go from "guessing" -> "doing" Combined with our powerful people and company APIs, your AI agent can now find actionable answer to any question and finally act with confidence Whether you are building an AI agent in sales, recruitment, investment, insurance or just adding small automation which needs access to web data in structured manner, this is for you. Live on Producthunt now! Do upvote and support (link in comments)
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Today we are launching something BIG! The most accurate and fastest web search APIs for AI agents Something which took us months to build Something so powerful that it lets your AI agent to go from "guessing" -> "doing" Combined with our powerful people and company APIs, your AI agent can now find actionable answer to any question and finally act with confidence Whether you are building an AI agent in sales, recruitment, investment, insurance or just adding small automation which needs access to web data in structured manner, this is for you. Live on Producthunt now! Do upvote and support (link in comments)

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🧲 Meet Magnet — the AI workspace for agentic coding. Build software with Claude Code, Cursor, Codex & co. → Write a ticket → Magnet assembles context → Fires to Claude Code, Deep Research, and other agent sessions in parallel Git worktree sandboxes → PRs appear → Use agents to help you spec, research, and decompose tasks Let your agents cook!

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🔥 Our latest LangChain Academy course – Deep Research with LangGraph – is now live! 🔥 Deep research agents are taking off – from major AI labs to companies building their own. Research is inherently open-ended. You can't always predict whether a question needs broad exploration or deep analysis. Agents excel here because they adapt on the fly, using each finding to decide where to dig next. Building these systems ourselves and with customers, we've learned that structure matters. The best research agents scope problems with users first. Then, they coordinate multiple specialists instead of overwhelming one generalist. LangGraph is built for these types of long-running, multi-agent workflows. Its persistence layer tracks progress across agents. LangSmith gives you the observability and evaluation tools you need to track and improve performance. In this course, you'll build and evaluate: - A user scoping agent to define research parameters - A multi-agent research team with supervisor - And add tool integration via MCP Enroll for free ➡️

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It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.
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It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

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Another example of the power of headless software with agents. With Claude Tag, you can give Claude access to any corporate files in Box that you can interact with from Slack. Now all of your enterprise content becomes a portable knowledge base.

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Traders are sleeping on how cheap it is to use x402 for deep research that used to cost 100s (if not 1000s) of dollars of per month In this video, I call Nansen 🧭's smart money endpoint for 5 cents per call on Base (!!!) There are thousands of other live services already, not to mention the built-in tools for web search and free APIs x402 + agents democratize deep research and allow you to 1000x your onchain sleuthing It's insane how many traders are sleeping on this 👀

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This is incredible I ask an AI agent to make me $10,000 It then did market research, built a business plan, and started executing on that plan Now ANYONE can use AI agents to build entire businesses for them autonomously (trust me, you want to bookmark this one)
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Chat Academia is a one-stop solution for all your research requirements. 15 AI agents integrated with 7 academic databases containing 500M+ articles. Here's a complete tutorial on how to supercharge your research with Chat Academia Sign up for free and get a 10% discount when you subscribe. We're also offering lifetime subscriptions for $999 and $1,299.

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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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We built Jemini Deep Research, a system that generates customized reports on anything you're curious about regarding the Epstein case. Each Deep Research makes 50+ searches across the archive to write a heavily-cited encyclopedia length article. We recommend using Deep Research as a journalistic tool for identifying leads and deficiencies in the existing evidence.

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