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.

B2B SaaS OPPORTUNITY ANALYSIS

Build 'GridSync', a B2B SaaS platform that enables utilities and industrial customers to trade energy in real-time using AI-driven dynamic pricing and automated demand-response. The platform would integrate with Tesla Powerpacks, Google’s DeepMind AI, and smart meters to predict demand spikes, optimize battery storage, and execute peer-to-peer energy trades via smart contracts. Monetization via subscription fees, transaction cuts, and grid stability incentives from regulators.

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

Market Catalyst & News Trigger

"Google and Tesla think we’re managing the electrical grid all wrong; Utilize launches to change grid regulation"

        Source: TechCrunch 
        | Published: 3/10/2026
      

The Workflow Friction

Current grid management relies on centralized, slow-moving utilities that cannot handle the volatility of renewable energy sources (e.g., solar, wind) and AI data center demand. This results in blackouts, wasted energy, and billions in lost revenue for industrial customers. Utilities lack real-time visibility, dynamic pricing, and automated demand-response tools, forcing manual interventions that are error-prone and costly.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A dashboard showing real-time grid demand/supply, AI-predicted pricing, and a marketplace for energy trades (e.g., 'Factory A can sell 500kWh at $0.12/kWh to Data Center B'). Include automated demand-response triggers (e.g., 'If demand > 90%, discharge batteries') and integration with Tesla’s Autopilot Grid Service.

Recommended Developer Tech Stack

Vue.js
Django
TimescaleDB
Tesla API
Chainlink for smart contracts