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.

Consumer OPPORTUNITY ANALYSIS

A cross-platform AI memory and automation layer that sits atop Siri/Google Assistant/Alexa, enabling: (1) persistent memory using vector databases, (2) cross-app task automation via LLMs (e.g., 'If my Uber Eats order is late, text my roommate to start cooking'), (3) privacy-preserving sync across devices, and (4) a marketplace for user-generated automation 'skills' (e.g., 'Morning Routine: Check weather, brew coffee, read emails'). Target consumer first, then enterprise (e.g., 'Automate Slack + Salesforce workflows').

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

Market Catalyst & News Trigger

"Hey, Siri, here’s what I actually want from AI | WWDC 2026: Everything announced on Siri AI, iOS 27, Apple Intelligence"

        Source: Popular Science 
        | Published: Invalid Date
      

The Workflow Friction

Consumers who rely on voice assistants (Siri, Alexa, Google Assistant) and power users frustrated by siloed AI Voice assistants remain dumb pipes with no memory, context, or cross-app integration. Apple’s WWDC 2026 updates (Siri AI) still lack: (1) persistent memory across sessions, (2) proactive task automation (e.g., 'Cancel my dentist appointment if it rains'), (3) cross-platform sync (e.g., Siri ↔ Android), and (4) third-party app deep linking (e.g., 'Order groceries from Instacart AND add them to my Google Calendar'). Users waste 5–15 hours/month manually repeating tasks across apps. Enterprises lose productivity due to lack of AI-driven workflow automation.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

{"coreFeatures":["OAuth integration with Siri/Google Assistant/Alexa","Vector database to store user context (e.g., 'My wife’s name is Sarah', 'I take the 8:15am train to work')","LLM-powered automation engine (e.g., 'If my flight is delayed, text my Airbnb host AND reschedule my Uber')","Marketplace for pre-built 'skills' (e.g., 'Fitness Tracker: Log workout to Strava + order protein shake from DoorDash')","Privacy toggle to enable/disable memory per conversation"],"dashboard":{"leftPanel":"Memory log (e.g., 'Learned: Sarah is your wife (June 10, 2026)')","centerPanel":"Voice/text input with automation suggestions (e.g., 'You said your train is delayed—want me to text your client?')","rightPanel":"Marketplace for skills (trending: 'Morning Routine', 'Flight Delay Handler')","footer":"Privacy settings and cross-device sync status"}}

Recommended Developer Tech Stack

Swift (iOS)
Kotlin (Android)
Firebase
Supabase (vector DB)
LangChain
Stripe