OPBO: From Startup Idea to Evidence-Backed Decision
We are building OPBO to make startup validation more action-driven.
Most validation tools stop after giving founders an AI-generated report.
That is useful, but it is not enough.
A founder still needs to answer:
What is the biggest uncertainty?
What evidence should I collect?
How do I get real feedback?
Which signals are strong enough to trust?
When should I continue, pivot, or stop?
That is why OPBO is designed as a full validation workflow:
Quick Validate
Start with one startup idea and identify the key uncertainty.Create a Validation Project
Save assumptions, evidence goals, and the decision timeline.Create a Validation Campaign
Define what to validate, which channels to use, success criteria, and kill / pivot criteria.Launch Validation Assets
Create landing pages, social validation posts, signal trackers, or external video tracking.Collect Real Feedback
Capture waitlist signups, demo requests, pricing feedback, comments, replies, and demand signals.Convert Feedback into Evidence
Separate supporting, contradicting, and neutral signals with evidence levels from L1 to L6.Revalidate
Update the project based on what actually changed.Decide the Next Step
Continue, continue with caution, validate further, pivot, or stop.
The difference is simple:
Typical validation tools give a one-time AI report.
OPBO helps founders build a repeatable evidence-backed validation loop.
We want founders to validate before building, and decide with evidence instead of gut feel.
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