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AI · alternatives · 2026

24 alternatives to You know browser-use, here's human-use for LLMs to get info from humans

We made human-use. Similar to how browser-use connects agents to the web, human-use connects agents to people all over the world in real-time using the Rapidata API. This allows the LLM to crowdsource human feedback and insights when it deems necessary. Free to use for anyone, you can enable your agent to use humans in real-time to: - Do preference research - Check for hallucinations - Capture sentiment - Get feedback - etc. Whatever you would want from humans. We expose certain parts of the Rapidata API to the agent through the MCP server framework. Additionally we provide a custom client.…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1

    Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…

    2024 · github.com · its alternatives →

  2. 2

    I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…

    Nov 2025 · github.com · its alternatives →

  3. 3

    Hi HN! We’re Abhilash Chowdhary, Chris Pisarski and Manmohit Grewal. We built Crustdata (YC F24). Today we’re launching our web search API for AI agents, which not only returns the most relevant documents from the web but also maps them to the correct entity (person, company or event). Demo video here https://youtu.be/IouWW97hBN8 If you run agents at scale, tokens become a line item. The web data is the worst input: long pages, repeated content, mixed entities, stale claims. The usual web search -> scrape -> summarize + structure forces the agent to spend tokens doing…

    2025 · crustdata.com · its alternatives →

  4. 4

    The first AI agent that can operate your browser.

    2023 · hyperwriteai.com · its alternatives →

  5. 5

    Hi HN, We just launched [AI Page Ready](https://aipageready.com) — a tool to check if your web pages are discoverable and understandable by AI tools like ChatGPT, Claude, Gemini, and Perplexity. It runs 40+ checks across six areas: Discoverability & Crawlability, Structured Data & Semantics, Content Quality, Answer-Ready Formatting, Accessibility & Rendering, and Deep AI LLM-specific checks. Would love your feedback — especially if you work in eCommerce, SEO, content, SaaS, or are trying to get traffic from AI tools. (Also open to ideas on what else to add to the tool!)

    2025 · aipageready.com · its alternatives →

  6. 6

    Powerful browser-based AI models for a wide array of tasks

    2023 · tinyllms.vercel.app · its alternatives →

  7. 7OH

    Related: https://simonwillison.net/2026/Jan/27/one-human-one-agent-on...

    Jan 2026 · emsh.cat · its alternatives →

  8. 8

    Hey HN, I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: https://github.com/user-attachments/assets/209c7042-6d54-4fc... Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be…

    2025 · github.com · its alternatives →

  9. 9

    Hey HN, We’ve been building browser agents for a while. In production, we kept converging on the same pattern: deterministic scripts for the happy path, agents only for edge cases. So we built Demonstrate Mode. The idea is simple: You perform your workflow once in a remote browser. Notte records the interactions and generates deterministic automation code. How it works: - Record clicks, inputs, navigations in a cloud browser - Compile them into deterministic code (no LLM at runtime) - Run and deploy on managed browser infrastructure Closest analog is Playwright codegen but: - Infrastructure…

    2025 · notte.cc · its alternatives →

  10. 10

    Hey HN – Gregor & Magnus here again. A few months ago, we launched Browser Use (https://news.ycombinator.com/item?id=43173378), which let LLMs perform tasks in the browser using natural language prompts. It was great for one-off tasks like booking flights or finding products—but we soon realized enterprises have somewhat different needs: They typically have one workflow with dynamic variables (e.g., filling out a form and downloading a PDF) that they want to reliably run a million times without breaking. Pure LLM agents were slow, expensive, and unpredictable for these…

    2025 · github.com · its alternatives →

  11. 11TL
  12. 12
    Ara▲143

    Agentic Wispr flow computer-use-agent living in your notch

    May 2026 · ara.so · its alternatives →

  13. 13

    Hey HN, Hakim here from Fini (YC S22), a startup focused on providing automated customer support bots for enterprises that have a high volume of support requests. Today, one of the largest use cases of LLMs is for the purpose of automating support. As the space has evolved over the past year, there has subsequently been a need for evaluations of LLM outputs - and a sea of LLM Evals packages have been released. "LLM evals" refer to the evaluation of large language models, assessing how well these AI systems understand and generate human-like text. These packages have recently relied on…

    2024 · github.com · its alternatives →

  14. 14

    Hey Hackers! I've had this idea stuck in my head for a while: what if an AI could actually use my browser for me? I mean, not on some virtual machine in the cloud like ChatGPT agent, but right on my own browser. I finally decided to just build it and see what would happen. I wrote a quick MVP, and honestly, I didn't expect much. But then... it started doing things. On its own. It figured out how to use search engine to find what I needed, read a webpage to answer my questions, and even it can organize my chaotic mess of tabs into neat groups. It was a genuine "whoa" moment for me. That's…

    2025 · browserfly.app · its alternatives →

  15. 15
    Computer Using Agents by LLMHubfree tier, from $0.05/mo▲84

    Agents using isolated computers to get work done like humans

    2025 · coasty.ai · its alternatives →

  16. 16

    Open-source browser automation for local AI agents

    May 2026 · github.com · its alternatives →

  17. 17

    Revolutionize LLMs chat platform with pay-as-you-go pricing

    2025 · chat.helpedby.ai · its alternatives →

  18. 18

    Let your AI agents ask you questions in realtime

    2024 · app.archbee.com · its alternatives →

  19. 19

    Ask 100 real humans anything in 3min for free

    2024 · app.rapidata.ai · its alternatives →

  20. 20

    Define tools once for agents use them everywhere

    Mar 2026 · useagents.site · its alternatives →

  21. 21
    folio▲74

    hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…

    Apr 2026 · usefolio.ai · its alternatives →

  22. 22

    I found myself building a bunch of LLM-backed features that needed to use tool calling, and some of those tools involved doing things that were somewhat high stakes - communicating on my behalf or modifying shared / production data. one example - I wanted to replace a marketing website with a chatbot + vector DB loaded with the previous content, docs, and blog posts. Between hallucinations, missing knowledge base info, and the LLM generally writing like an psuedo-intellectual high schooler, I realized I couldn't trust it to communicate unsupervised with my website visitors. I needed a…

    2024 · github.com · its alternatives →

  23. 23

    Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface

    2025 · github.com · its alternatives →

  24. 24

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