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.

GovTech OPPORTUNITY ANALYSIS

Build 'Sovereign Shield'—a GovTech/AI compliance platform that automates legal guardrails for cross-border data flows. The platform would: 1) Use LLMs to parse real-time regulatory updates (e.g., EU-US Data Privacy Framework, Schrems II rulings) and suggest jurisdiction-specific legal wrappers (e.g., 'Pseudonymize PII before EU-US transfer'); 2) Integrate with cloud providers (AWS, GCP) and AI training pipelines to redact/encrypt data dynamically; 3) Provide audit trails for regulators (e.g., 'Show that no Section 702 data was accessed post-expiration'); 4) Offer a 'compliance-as-code' SDK for developers to embed guardrails into their apps. Monetization via enterprise SaaS ($25K/year), API access, and white-label solutions for governments.

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

Market Catalyst & News Trigger

"US surveillance law Section 702 to expire for first time after lawmakers reject Trump's controversial pick to lead spy agencies"

        Source: TechCrunch 
        | Published: 6/12/2026
      

The Workflow Friction

The expiration of Section 702 creates a legal vacuum for intelligence agencies (NSA, FBI) and enterprises handling cross-border data (e.g., cloud providers, fintech). Without renewal, companies face compliance risks (e.g., GDPR fines up to 4% of global revenue), operational disruptions (e.g., delayed threat intelligence sharing), and heightened vulnerability to cyber threats (e.g., Chinese APT groups exploiting gaps). The friction is acute for SaaS platforms (e.g., Slack, Salesforce) and AI training datasets relying on transatlantic data flows.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A dashboard showing a world map with color-coded jurisdictions (e.g., green = compliant, red = restricted). Users upload a dataset or API endpoint, and the system generates a compliance report with: 1) Legal risks (e.g., 'GDPR violation if accessed by EU users'); 2) Technical mitigations (e.g., 'Encrypt with AWS KMS before transfer'); 3) A 'one-click' compliance button to auto-apply guardrails. Integration with GitHub Actions for CI/CD pipelines.

Recommended Developer Tech Stack

Python
FastAPI
PostgreSQL
AWS KMS
Anthropic Claude API
Terraform