winlab

An AI-powered conversion-rate optimisation simulation lab

11 followers

An AI-powered conversion-rate optimisation simulation lab

11 followers

Standard AI audits are context-blind and unverified, often hurting conversions. Winlab replaces guessing with rigorous simulation. Unlike generic wrappers, we solve 3 fatal flaws: Context: We calibrate for specific traffic & goals (Cold vs Warm). Accuracy: Hybrid Vision+Code scanning prevents hallucinations. Validation: Agents run synthetic A/B tests on every fix. We don't just critique your site; we verify the solution works.

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Launch tags:Marketing•Growth Hacks •Marketing automation

Launch Team

Tines The single, secure environment for agents, apps, and automations.

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Maker

📌

👋 Hey Product Hunt, I’m Rehan, and I'm launching winlab! I’ve worked in growth and acquisition roles for years. So when these AI audit tools started popping up, I tested most of them because I wanted to save time as I was going through a website rebrand project. But I found two massive problems. First, most of them are just generic wrappers that treat every website the same. They give the same advice for a cold traffic landing page as they do for a warm email nurture page. Second, the "Cold Start Problem." You usually have to burn budget on marketing spend to get enough traffic for a heatmap or A/B test result. You are basically flying blind until you have spent a lot. I built winlab to try and solve both (I don't think we're fully there, but hopefully this is a big step). It is a simulation lab that forces context before it gives you an opinion, and simulates traffic so you don't have to wait for it. Here is what I built differently: - It asks for context: You have to toggle if your traffic is Cold or Warm, who your ICP is and what you're trying to achieve. The analysis changes completely based on that input because advice without context is useless. - No visitors needed: You don't need to wait for 10,000 visitors to get data. The AI simulates the traffic for you so you get predictive heatmaps and feedback instantly before you spend time and money trying to get traffic which won't convert. - It reads the code: I built a hybrid scanner that checks the visual pixels and the actual code. It stops the AI from hallucinating buttons and text that aren't there. It is just me building this. No big team. I’m scratching my own itch and hoping it helps other growth folks save some time and money. (🤞) Please give it a try and let me know what you really think!

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8mo ago

Congrats on the launch! I like the idea of simulating user behavior before spending money on traffic, that feels especially useful during rebrands or early experiments. How confident the predictive heatmaps feel in practice compared to real user sessions once traffic starts flowing?

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8mo ago

Congrats on the launch, Rehan — love the “simulate before you spend” approach. The context-first (cold vs warm) framing + vision+code scan is a smart combo.

Curious: how do you validate that the synthetic A/B outcomes correlate with real-world behavior (any benchmarks or calibration loop)? Excited to try this on a landing page.

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8mo ago

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Maker

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8mo ago

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8mo ago

Congrats on the launch, Rehan — love the “simulate before you spend” approach. The context-first (cold vs warm) framing + vision+code scan is a smart combo.

Curious: how do you validate that the synthetic A/B outcomes correlate with real-world behavior (any benchmarks or calibration loop)? Excited to try this on a landing page.

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8mo ago