Launched this week
Owl Browser

Owl Browser

Undetectable browser automation that behaves like a user

153 followers

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Owl Browser: Enterprise stealth automation that actually works. While Puppeteer fails 56% of bot detection tests, Owl Browser passes 100%—all 16 categories. Includes 104 automation tools, AI-powered natural language commands, per-context Tor IP isolation, automatic CAPTCHA solving, and sub-second startup. Scale to thousands of parallel sessions without detection. Used for lead generation, data collection, price monitoring, and workflow automation. SOC2 compliant with private cloud options.
Owl Browser gallery image
Owl Browser gallery image
Owl Browser gallery image
Owl Browser gallery image
Free Options
Launch tags:Productivity•Anonymous•Artificial Intelligence
Launch Team / Built With
Vy - Cross platform AI agent
Vy - Cross platform AI agent
AI agent that uses your computer, cross platform, no APIs
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What do you think? …

Fakrul H. Sarker
Owl Browser
Maker
📌
Hey Product Hunt! 👋 I'm Fakrul from Olib AI, and I'm excited to share Owl Browser with you today. Why we built this: We were tired of watching our automation scripts get blocked. Puppeteer and Playwright work great in development, but the moment you hit a real website with Cloudflare or bot detection? Instant blocks. We'd spend weeks building scrapers, only to have them fail in production. Traditional stealth solutions pass maybe 44% of detection tests. Owl Browser passes 100% — all 16 major bot detection categories. What makes it different: 🎯 Actually undetectable — passes Cloudflare, PerimeterX, DataDome, Akamai 🤖 AI-powered automation — use natural language instead of fragile CSS selectors 🧅 Native Tor integration — unique IP per browser context automatically ⚡ Instant startup — sub-second launch, unlimited parallel sessions 🛠️ 104 tools included — CAPTCHA solving, video recording, everything you need We're using it in production for lead generation, price monitoring, and workflow automation at massive scale (27+ logins/second proven). We'd love your feedback: What automation challenges are you facing? What features would make this more valuable for your use case? Questions about implementation or integration? Thanks for checking us out! Happy to answer any questions. 🚀

@fhsethen Hello! Congratulations on the launch. I browsed quickly your homepage and I couldn’t see any trial or free plan, the self-hosted seems to be even more expensive than the starting cloud subscription. Who is your target with this product and do you plan a way to try it without committing large sums?

Akram H. Sharkar
Owl Browser
Maker

@fhsethen  @abijahkaj Hey Abijah, it’s Akram from Olib AI. Owl Browser is a large-scale browser (browser-as-a-service) designed for enterprise customers. Developers can build using our BaaS platform. As mentioned on our website, we require signing an NDA. To get a free trial, please reach out to us using our contact form. Once you sign the NDA, you’ll receive a free trial of the developer license. Thanks!

ahkemin

Love the privacy-first approach! Does Owl support Chrome/Firefox extensions, or do you have your own extension ecosystem? That's usually my biggest concern when switching browsers.

Fakrul H. Sarker
Owl Browser
Maker

@ahkeminozen This is a browser as a service and we currently don't support any extensions. We tried to build all power browser managements as tools.

yama

The AI-powered natural language commands caught my attention—writing automation with plain English instead of brittle selectors sounds practical. I'm curious how it handles edge cases like dynamic content or sites with heavy JavaScript rendering. Does the AI retry with different strategies when an action fails?

Akram H. Sharkar
Owl Browser
Maker

@yamamoto7 The browser uses our custom DOM, which allows us to find any element even on heavily JavaScript-heavy pages. We employ three different strategies for finding elements: the Semantic Matcher, LLM-based Matcher, and Vision Matcher. While the LLM and Vision matchers can be slower, they serve as a last resort; 85% of elements are matched using the Semantic Matcher, which utilizes our custom-trained ML model.