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Tabductor
Browser agents that turn into fast, cheap scripts
Describe a browser task in plain English and watch an agent do it in a real browser. Tabductor turns that run into a script that reruns in seconds, with no model tokens. When the site changes, the agent steps back in and fixes it.
Browser agents are impressive the first time you watch one work. By the hundredth run, that feeling is gone 😅 They're slow, you pay for model tokens on every single run, and they never do things quite the same way twice.
I've spent a lot of time around compilers, and this looked like a familiar problem. A JIT doesn't reinterpret hot code forever. It watches it run, compiles a fast version, and puts guards on the assumptions it made. If a guard fails, it deoptimizes and falls back to the slow path.
Tabductor applies that idea to browser automation 🔄 The agent is the slow, flexible interpreter. The distilled script is the compiled code. Guards check that the page still looks the way it did during the recording. When a guard trips, Tabductor "deopts" back to the agent, which repairs the script.
⚙️ Here's how it works
Describe the task in one sentence: the site, the inputs, and what you want back.
Watch the agent do it live in a real hosted browser. If you need to log in or make a judgment call, grab the controls anytime 🕹️
Tabductor distills the run into a static script with guards.
Rerun it on a schedule, through the API, or over MCP, and it finishes in seconds ⚡ If the site changes and a guard trips, the agent steps back in and repairs the script for you 🔧
🎯 Where it shines: dashboards with no API, repetitive form filling, price and stock monitoring 📈, and getting data out from behind a login.
📦 What's included: signed-in browser profiles, per-workflow permission controls, residential proxies with country switching 🌍, CAPTCHA handling, a full recording and event timeline for every run, and typed results stored per workflow.
💰 Pricing: pay as you go, no plans. • $0.02 per browser hour, billed by the second • Model cost at provider price + 10%, charged only while the agent is actually running • Distilled reruns use zero model tokens, so most runs cost next to nothing
I'd love to hear what you'd automate first, and what breaks 🙌
About Tabductor on Product Hunt
“ Browser agents that turn into fast, cheap scripts ”
Tabductor was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #133 on the daily leaderboard. Describe a browser task in plain English and watch an agent do it in a real browser. Tabductor turns that run into a script that reruns in seconds, with no model tokens. When the site changes, the agent steps back in and fixes it.
On the analytics side, Tabductor competes within Developer Tools and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Tabductor performed against the three products that launched closest to it on the same day.
Who hunted Tabductor?
Tabductor was hunted by Malik Ammar Faisal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Tabductor including community comment highlights and product details, visit the product overview.
Malik Ammar Faisal
Hey Product Hunt 👋
I'm Ammar.
Browser agents are impressive the first time you watch one work. By the hundredth run, that feeling is gone 😅
They're slow, you pay for model tokens on every single run, and they never do things quite the same way twice.
I've spent a lot of time around compilers, and this looked like a familiar problem. A JIT doesn't reinterpret hot code forever. It watches it run, compiles a fast version, and puts guards on the assumptions it made. If a guard fails, it deoptimizes and falls back to the slow path.
Tabductor applies that idea to browser automation 🔄
The agent is the slow, flexible interpreter. The distilled script is the compiled code. Guards check that the page still looks the way it did during the recording. When a guard trips, Tabductor "deopts" back to the agent, which repairs the script.
⚙️ Here's how it works
Describe the task in one sentence: the site, the inputs, and what you want back.
Watch the agent do it live in a real hosted browser. If you need to log in or make a judgment call, grab the controls anytime 🕹️
Tabductor distills the run into a static script with guards.
Rerun it on a schedule, through the API, or over MCP, and it finishes in seconds ⚡ If the site changes and a guard trips, the agent steps back in and repairs the script for you 🔧
🎯 Where it shines: dashboards with no API, repetitive form filling, price and stock monitoring 📈, and getting data out from behind a login.
📦 What's included: signed-in browser profiles, per-workflow permission controls, residential proxies with country switching 🌍, CAPTCHA handling, a full recording and event timeline for every run, and typed results stored per workflow.
💰 Pricing: pay as you go, no plans.
• $0.02 per browser hour, billed by the second
• Model cost at provider price + 10%, charged only while the agent is actually running
• Distilled reruns use zero model tokens, so most runs cost next to nothing
I'd love to hear what you'd automate first, and what breaks 🙌