I’m building a tool to help founders kill bad startup ideas before building — what signal would you trust?
I’m building Needly, a startup validation copilot that helps founders avoid wasting months on the wrong idea.
The idea is simple: you enter your startup idea, and Needly helps you identify the weakest assumption, run a one-week test, and decide whether to keep, pivot, or drop the idea.
I’m not trying to build another AI idea generator. I want Needly to help founders stay honest before they build too much.
The result page is designed around a “30-second test”:
Can a founder instantly understand:
- What is the riskiest assumption?
- What should they test this week?
- What result would mean keep, pivot, or drop?
I’m currently thinking a lot about validation signals. A waitlist can be misleading. Interviews can be biased. Compliments are not validation. Stronger signals might be things like repeated pain, urgency, willingness to pay, follow-up behavior, or users introducing you to others.
I’d love feedback from other founders:
- What signal would make you kill an idea?
- What signal would make you double down?
- Would you trust one clear recommended test, or would you prefer 2–3 test options ranked by speed and reliability?
What would Needly need to show for you to trust its recommendation?
Here’s the current MVP landing page:
https://opulent-canvas-front.lovable.app
I’m also happy to manually create a free validation report for a few founders in exchange for honest feedback.
The recommendation matters less than the rule behind it. I'd have founders set the kill threshold before the one-week test, like ten interviews and at least three people asking to try or pay. Then show the raw evidence, source links, and the exact rule that triggered keep, pivot, or drop. That makes Needly useful as a guard against founders changing the meaning of success after weak results.
That makes a lot of sense. I like the idea that the recommendation should be based on a rule the founder commits to before running the test, not on how they feel after seeing the results.
That could make Needly much more useful as a guardrail against moving the goalposts. Before the one-week test, the founder would define the kill threshold, for example: “Interview 10 target users and get at least 3 people asking to try it, pay, or take a concrete follow-up action.” Then Needly would show the raw evidence, the source links, and the exact rule that triggered Keep, Pivot, or Drop.
So instead of just saying “Needly recommends pivoting,” the report would say: “You set a success threshold of 3 strong signals out of 10 interviews. You got 1. Based on your own pre-defined rule, this idea should be paused or changed.”
I think that’s a much stronger direction because it makes the product less about giving an AI opinion and more about helping founders stay honest with their own validation criteria. Thanks, this is really helpful.
The interesting challenge is that validation advice itself has a trust problem.
What would convince founders that Needly's recommendation is reliable enough to change their behavior, rather than becoming another AI-generated opinion they agree with but ignore?
Hi Aryan,
I think we’ve exchanged before about Needly, if I’m not mistaken.
That’s a great point. I agree that validation advice itself has a trust problem. Needly can’t rely on “AI confidence” alone, because founders would probably ignore it if it feels like just another AI-generated opinion.
I think the recommendation needs to be trustworthy because it is tied to evidence and behavior, not just generated reasoning. So I’m thinking Needly should show exactly why it recommends Keep, Pivot, or Drop: the weakest assumption, the signals behind the score, the test result, and the decision criteria defined before the test.
For example, instead of saying “this idea looks weak,” Needly should say something like: “Your riskiest assumption was that students feel enough urgency to use this weekly. You tested 15 target users, only 1 agreed to a follow-up, and nobody showed payment intent. Based on the criteria you set before the test, this should be paused or changed.”
So the goal is not to make founders blindly trust Needly. It’s to make the reasoning transparent enough, and grounded enough in real signals, that the recommendation feels difficult to ignore.
Thanks again, this is a really useful challenge.
Appreciate the context.
Would be good to continue the conversation as you explore how founders respond to this approach.
What's the best email to reach you on?
I’m especially interested in founders who already have an idea but are unsure whether it’s worth building. If you share the idea, I can manually run the Needly process and send back a simple validation report with the weakest assumption, a one-week test, and keep/pivot/drop criteria.