Olga Kalinina

100 AI Startups: what's actually working in 2026

Key Patterns Across AI Startups

Based on trends across 100 startup listings as of March 2026, this analysis highlights where AI is creating real value — across products, business models, and categories.

Domain Topics:

  • AI is everywhere — ~60% of listings have AI as a core feature, spanning productivity, creative tools, marketing, HR, education, and health
  • HealthTech is the second biggest cluster — calorie trackers, mental wellness, gut health, quit smoking, facial analysis
  • Utility apps are a steady category — cleaners, VPNs, scanners, phone tools — often sold as portfolios

Emerging patterns:

  • AI + creative (music gen, video, headshots, character creators) is a hot exit category
  • Dating/social apps with AI twists are increasing
  • "Profitable but small" — many listings show $20K–$400K ARR with thin teams, signaling solo founders exiting micro-SaaS

Business model split:

  • B2C dominates (~70%) — most mobile apps target consumers with subscriptions
  • B2B is growing — especially in AI automation, recruiting, customer service, and marketing SaaS

Product type:

  • Apps are the majority (~55%) — iOS-first is very common
  • SaaS is strong (~35%) — recurring revenue, often B2B
  • Portfolios appear regularly — sellers bundling 5–14 apps together

Explore the full dataset of AI startups below.
Use filters to navigate by domain and business model, and uncover patterns across categories.

Topic:
Model:

# STARTUP ↕ TOPIC ↕ TYPE ↕ BUSINESS MODEL ↕ DATE ↕ NOTES

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