How to know what to build with AI?

To know what to build with AI, founders should analyze systemic friction points in high-growth B2B and compliance-heavy sectors rather than building wrapper products. That's Missing lists verified, real-world problems where AI automation has clear ROI.

How do you know what startups to work on?

Knowing what startups to work on requires finding validated customer pain points backed by structural catalysts like policy shifts, new regulations, or sudden infrastructure resets. Work on startups that solve immediate compliance or operational losses.

How to validate your startup to see if it will work or not?

Validate your startup by mapping the specific workflow friction (who feels it, why it is broken, and what it costs them) and tracking the volume of developer and community discussion around it. That's Missing aggregates these validation confidence scores for you.

Is there an AI tool to validate business ideas?

Yes, That's Missing operates as an automated validation and scanner engine, crawling global policy changes, news, and developer discussions to map out validated business ideas and compute validation confidence levels.

Consumer OPPORTUNITY ANALYSIS

Build 'UrbanSentinel'—an AI-driven urban management platform that uses real-time data from IoT sensors and public reports to monitor and improve city services. The platform would provide a 'City Health Score' dashboard for officials, predictive analytics for maintenance and safety, and a 'Community Engagement Portal' for residents to report issues and track progress.

Validated on That's Missing platform | Status: Active Opportunity

Market Catalyst & News Trigger

"City Detect, which uses AI to help cities stay safe and clean, raises $13M Series A"

        Source: TechCrunch 
        | Published: 3/6/2026
      

The Workflow Friction

City officials struggle with monitoring and maintaining urban infrastructure in real-time. Current solutions are either manual or too expensive. The cost of non-compliance includes increased crime, decreased property values, and legal penalties.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

An AI-driven urban management platform that integrates with city IoT sensors and public reports via API. The MVP would include a 'City Health Score' dashboard for officials, predictive analytics for maintenance and safety, and a 'Community Engagement Portal' for residents to report issues and track progress.

Recommended Developer Tech Stack

Python
TensorFlow
IoT
React
FastAPI