Why I built LemonPage ?
Hello !
I'm David, maker of LemonPage.AI.
As a developer — especially in the vibe-coding era — you constantly want to build new products.
But how many of those products actually end up in the "graveyard of unfinished ideas"? How many ever find a single paying customer?
I started LemonPage as my own system for testing ideas against the market before writing a line of product code — generate a landing page in seconds with AI, automatically creating tens of variations (ex: 1 variation by targeted persona), push real traffic, see if anyone actually wants it.
After using it on my own ideas, I productized it and opened it up so other builders can do the same.
Stop building in the dark. Validate first, build second !
The graveyard of unfinished ideas is real — most products die not because the idea was bad but because distribution was never figured out. What's your theory on why so many products find zero paying customers even when the problem is real?
It is a frustrating experience for any developer to pour weeks into a "perfect" feature only to realize upon launch that the market had zero interest in the problem you were trying to solve.
The real shift in strategy here is the automated persona variations because instead of guessing which audience will stick you can let the data show you whether a product appeals more to solo founders or enterprise managers before you commit to a specific tech stack.
Since you are focusing on high-speed validation are you considering an "Intent Scoring" system that tracks deeper engagement metrics—like email signups or pricing page clicks—rather than just basic page views to help users separate genuine interest from passive browsing?
Intent scoring is exactly the right direction — page views are vanity, pricing page clicks and email signups are signal. The gap between 'someone read about it' and 'someone wanted to pay' is where most validation falls apart. Are you tracking scroll depth on the pricing section as a proxy for intent?
Hello Muhammad,
That's a great question, thank you.
Indeed there is already a few classic Google Analytics like metrics, such as page visits, emails signups, bounce rate, etc... But not yet a "intent score", which I think would be a great idea.
Implementing an intent score would help builders ignore the "noise" of high bounce rates and focus strictly on the visitors who are actually performing high-value actions like clicking your call-to-action buttons.
Focusing on these deeper engagement metrics is the only way to prove a product has real "legs" because a hundred curious visitors are worth much less than five people who are ready to enter their email for early access.
I apply this same validation-first mindset in my high-tier PR and media placement work where we test different messaging angles to find the one that will build the most authority on major news outlets.
Since you already have the persona variations, would you consider a feature that allows users to run A/B tests on their pricing models to see which price point actually converts best during the validation phase?
This comment was deleted 4 months ago