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.

ClimateTech OPPORTUNITY ANALYSIS

Build 'BESS AI'—an AI-driven battery energy storage management platform that uses real-time data from IoT sensors to optimize energy storage and distribution. The platform would provide predictive analytics for maintenance, energy trading, and grid stability, ensuring higher efficiency and value.

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

Market Catalyst & News Trigger

"Sieyuan Electric Launches esGrid 3.0 BESS: More Energy, Greater Stability, Higher Value"

        Source: PRNewswire 
        | Published: 6/24/2026
      

The Workflow Friction

Battery Energy Storage Systems (BESS) face challenges in energy efficiency, stability, and value optimization. Current solutions lack real-time monitoring and predictive analytics, leading to suboptimal performance and higher costs.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A dashboard showing real-time battery performance, predictive maintenance alerts, and energy trading opportunities. The dashboard would use AI to optimize energy storage and distribution, ensuring grid stability and higher value.

Recommended Developer Tech Stack

Python
Django
TensorFlow
PostgreSQL
IoT Sensors