Founders waste weeks validating ideas. Lens does it in 60 seconds with live competitor research and honest risk analysis.
Most AI idea validators work the same way: feed a prompt to a large language model, get back a summary of things the model already knew. Franco Galfre built Lens because that approach produces confident-sounding output that is not actually grounded in anything current or specific.
Lens takes a different architectural approach. Instead of one general-purpose prompt, it runs six specialized agents in parallel. One searches for live competitors and returns real URLs. One flags risks specific to the idea. One identifies market gaps. The results come back in 60 seconds - not because the model is guessing faster, but because the work is being done simultaneously across multiple focused agents.
Honest Scores, Not Flattery
The output is designed to be useful rather than encouraging. Lens assigns a viability score based on what the agents find, and if the score comes back at 45%, the platform does not round up or soften the result. Instead it tells the founder how to pivot - what to change, what the gaps suggest, where the real opportunity might be hiding.
That framing - treat the score as a starting point, not a verdict - is what separates Lens from tools that exist to validate whatever the founder already believes. The competitor data comes from live searches, not a training set, which means the analysis reflects the market as it actually exists today.
Pro users get access to Lens Chat, which lets them ask follow-up questions directly to the agent after the initial validation. If a competitor URL raises a question, or a risk flag needs unpacking, the conversation continues from there rather than requiring a fresh run.
Lens launched on Product Hunt today and early feedback has focused on the specificity of the competitor research - founders finding actual rival products they were not aware of, rather than generic category summaries.
The tool is live at lenss.site.
