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 Pro, a $75K/year B2B SaaS + Climate Fintech platform that auto-discovers, optimizes, and monetizes energy use via AI-driven microgrids, tokenized demand response, and carbon credit generation. The platform would: (1) Deploy ‘GridSense’: Edge AI (Jetson Orin) + Schneider PM5000 meters to capture real-time load and emissions (e.g., ‘Data Center #XYZ: +500kW—route to wind-heavy grid’); (2) Provide ‘CarbonIQ’: AI-driven carbon accounting integrating SEC, CBAM, and EU ETS (e.g., ‘CBAM Report #ABC: $1.2M penalty avoided’); (3) Integrate with ‘Grid APIs’ (PJM, ERCOT, Utilize) for real-time arbitrage (e.g., ‘ERCOT: $0.02/kWh—charge EVs now’); (4) Offer ‘Tokenized Demand Response’: Smart contracts (Polygon) auto-trading excess capacity (e.g., ‘Token #XYZ: Sold $12K worth of demand response’); (5) Include ‘Carbon Marketplace’: Monetize reductions via verified credits (e.g., ‘Your AI cluster saved 10K tons CO2 = $300K/year’).

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

Market Catalyst & News Trigger

"General Fusion starts trading on the Nasdaq following a reverse merger that saw high redemptions"

        Source: TechCrunch 
        | Published: 7/13/2026
      

The Workflow Friction

The $500B+ global energy transition market is accelerating, but: (1) **Carbon accounting is fragmented** (e.g., SEC, CBAM, EU ETS); (2) **Grid integration is manual** (e.g., Google/Tesla’s Utilize initiative); (3) **Carbon credit verification is opaque** ($200B+ market, 80% fraud risk); (4) **Regulatory reporting is siloed** ($10M+/year in compliance costs); (5) **Energy arbitrage is untapped** (e.g., AI-driven workload routing based on grid carbon intensity). Current solutions (e.g., SAP Sustainability Footprint, Salesforce Net Zero Cloud) are enterprise-focused and lack AI-driven automation.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A dashboard with: (1) **GridSense** (real-time load/emissions capture with AI-driven alerts); (2) **CarbonIQ** (auto-generated regulatory reports); (3) **Arbitrage Engine** (dynamic pricing integration with grid APIs); (4) **Tokenized Demand Response** (smart contract-based trading interface); (5) **Carbon Marketplace** (verified credit monetization portal).

Recommended Developer Tech Stack

Next.js
FastAPI
PostgreSQL
Jetson Orin SDK
Polygon PoS
PJM API