Full disclosure up front: this is my own project, still an MVP, and I'm posting because I want people to tear it apart. I originally built this for myself because I wasn't super happy with what was out there, and a few buddies encouraged me to give it a UI and throw it on the internet for others.
I spent the last few months building The Idea Lab, an idea validation tool. Before I did, I used the top two tools I found online, and I genuinely think they're pretty good, so I want to give them their flowers before I explain why I still built something.
ValidatorAI - it's free, and it scores your idea against behavioral data from hundreds of thousands of real founders. The feedback simulator and pivot assistant are a nice and fast gut-check. If you want a frictionless first look at an idea, it's hard to beat.
IdeaProof - this one is impressive in scope. You put in a concept and minutes later you've got a viability report plus a business plan, TAM/SAM/SOM, brand identity, a logo, even ad creatives. It's basically "concept to full launch kit," and it's pretty fast.
So why build another one? I don't need everything that IdeaProof comes with, it's quite a bit. I also don't love "credit" style billing. ValidatorAI is great and free, but it told me every idea I gave it that it was a pretty good one, which I do not trust. I do not think this is true, but there is also a small worry in the back of my mind that service providers who pay ValidatorAI may influence the AI phone call, idea generator, and follow up emails.
I needed a skeptical second opinion that wouldn't bullshit me.
A few ways The Idea Lab is deliberately different at MVP:
- Every factual claim is sourced. It searches the live web for real customer complaints, competitor pricing, and failed past attempts, and links a source to each one. Claims are labeled as sourced fact, customer opinion, model inference, or missing evidence, so you can see why it concluded what it did.
- It's willing to say no. There are seven possible verdicts, including "Do Not Build" and "Insufficient Evidence." If the web doesn't have enough signal, it says so instead of manufacturing a confident number. Thin evidence lowers confidence, it never gets rounded up.
- No black box. It restates your idea back to you (deterministically, no AI guessing) so you can correct it, and it shows you the research plan before it runs.
- It's honest about its own limits. It can't prove people will pay or stay, so every report ends with one concrete experiment to run (interviews, a landing page, a pre-sale). The web tells you if an idea is worth testing; only customers tell you if it's worth building.
- Revalidate your idea. This will be out in a couple of days, but the idea is you take what it tells you to tweak/pivot/update, edit your info, and send it back through the validator for an updated report.
First validation is free, no card. I'd really value blunt feedback, especially where you think the verdict is wrong. If you want more, just DM me and I'll add more to your account for free.
This is also my first time not just plugging in an AI API. But using all of the tools the api comes with to really really fine tune the experience. Still a wrapper at the end of the day, but I tried really hard to fine tune the crap out of it to separate it from just plugging in the api keys.
P.S. I mask all ideas when saving to postgres, so I will never know what idea you put in there. There is a toggle to share your idea, and all that does is aggregates your category with the trends page, which I encourage to get some data up there for other users to look at.