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 GuardianContext—a local-only, on-device AI agent for parents, platforms, and moderators. Unlike cloud moderation, it processes chat logs, voice transcripts, and image metadata locally on the device using a Small Language Model (SLM). It detects specific 'radicalization patterns' (e.g., isolation tactics, us-vs-them rhetoric, escalation to violence) and 'grooming sequences' without sending data to the cloud. It alerts parents/platforms only when a 'Risk Threshold' is breached, providing a summarized, privacy-preserving report of the behavioral pattern rather than raw chat logs. Offer a 'Radicalization API' for platforms to integrate into their moderation stacks.

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

Market Catalyst & News Trigger

"EU proposes expansion of Europol’s powers to include AI-driven surveillance and data collection, clashing with human rights groups"

        Source: Wired 
        | Published: 6/25/2026
      

The Workflow Friction

Mid-market social platforms, decentralized networks (e.g., Bluesky, Mastodon), and gaming communities lack scalable tools to comply with EU’s **e-Evidence Regulation** and **Chat Control 2.0**. Current solutions (e.g., Palantir, AWS Macie) are enterprise-grade ($200K+/year) and require cloud storage of user data, violating privacy laws. Platforms face fines up to **6% of global revenue** for non-compliance (e.g., Meta’s €1.2B fine in 2023) but can’t afford enterprise tools. The EU’s expansion of Europol’s powers signals a broader trend: **platforms must detect radicalization, grooming, and CSAM without centralized surveillance**.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

A **parental dashboard** showing: 1) **Risk Summary** (e.g., 'Isolation Tactics Detected—3 instances this week'); 2) **Behavioral Timeline** (e.g., 'User escalated from venting to threats over 14 days'); 3) **Privacy Guarantee** (e.g., 'No raw data stored—only pattern summaries'); 4) **Platform Integration Guide** (e.g., 'Bluesky: Add our JS snippet to enable GuardianContext'). Deploy SLMs on-device to analyze Discord/WhatsApp metadata without cloud storage.

Recommended Developer Tech Stack

Rust (for on-device SLM)
WebAssembly
Gemini Nano (on-device)
IPFS (for decentralized reporting)
EU GDPR-compliant logging