Startup Types

Chart your own path with 23 different startup types in B2B, B2C and C2C categories.

B2BBusiness-to-Business

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AI / ML

Artificial intelligence and machine learning platform. High LTV with GPU costs and top-tier talent needs, hype-driven awareness.

  • High LTV (โ‚บ5,000)
  • 1.6x development cost
  • 45-day sales cycle
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FinTech

Financial technology solutions. High compliance requirements, medium CAC with solid retention.

  • LTV: โ‚บ3,600
  • Low Churn (2%)
  • 30-day sales cycle
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Cybersecurity

Security solutions. Lowest churn, highest LTV as a mission-critical product, but expensive development cost.

  • Lowest churn (2%)
  • Highest LTV (โ‚บ4,000)
  • 1.5x development cost
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CRM

Customer relationship management platform. Long sales cycle, high LTV and low churn rate for stable revenue.

  • High LTV (โ‚บ2,400)
  • Low Churn (3%)
  • 30-day sales cycle
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Analytics

Data analysis and reporting platform. Medium sales cycle, fast organic growth potential.

  • Fast organic growth (4%)
  • Medium sales cycle (14 days)
  • Base ARPU: โ‚บ50
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DevTools

Developer tools and infrastructure services. Shortest sales cycle, fast growth with low CAC.

  • Low CAC (โ‚บ60)
  • Fastest organic growth (6%)
  • 7-day sales cycle
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MarTech

Marketing technology platform. Medium sales cycle, solid organic growth with balanced metrics.

  • LTV: โ‚บ2,000
  • Organic growth (3%)
  • 21-day sales cycle
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HR Tech

Human resources technology. Long sales cycle but very sticky product, low churn.

  • Very low churn (2.5%)
  • High LTV (โ‚บ3,000)
  • Base ARPU: โ‚บ100
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LegalTech

Legal technology platform. Trust-based product with high switching costs, compliance-heavy development.

  • Low churn (2%)
  • LTV: โ‚บ3,200
  • 50-day sales cycle
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PropTech

Real estate technology. Stickiest B2B product with the longest sales cycle but lowest churn.

  • Lowest churn (1.5%)
  • LTV: โ‚บ4,500
  • 90-day sales cycle
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CleanTech

Clean energy and sustainability technology. Growing market with government incentives.

  • Growing market (2.5%)
  • LTV: โ‚บ2,800
  • 35-day sales cycle
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AgriTech

Agricultural technology. Niche but sticky market with word-of-mouth growth.

  • Seasonal but sticky (2.5%)
  • LTV: โ‚บ2,200
  • 40-day sales cycle
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InsurTech

Insurance technology. Extremely sticky โ€” policies are hard to switch. Actuarial models & compliance costs.

  • Very low churn (1.8%)
  • LTV: โ‚บ3,800
  • 1.4x development cost
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Logistics

Supply chain and logistics technology. Scale-dependent with efficiency-driven sales.

  • Organic growth (3%)
  • LTV: โ‚บ2,000
  • 25-day sales cycle

B2CBusiness-to-Consumer

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E-Commerce

Online shopping platform. High volume, low unit price, viral growth potential.

  • High volume
  • Viral growth
  • Low ARPU
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Gaming

Gaming platform. Viral if hit, but users move on fast. Expensive content creation with hard monetization.

  • Viral growth (18%)
  • High churn (12%)
  • 1.4x development cost
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FoodTech

Food delivery and food technology. Everyone eats โ€” easy first transaction with high organic growth.

  • Organic growth (14%)
  • Easy conversion (25%)
  • Low CAC (โ‚บ35)
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TravelTech

Travel and tourism technology. Seasonal peaks with social sharing and clear booking intent.

  • Organic growth (11%)
  • Booking conversion (18%)
  • LTV: โ‚บ700
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Streaming

Content streaming platform. Word-of-mouth for hit content, but high CDN costs and content fatigue churn.

  • Organic growth (12%)
  • 1.5x development cost
  • Content fatigue churn (9%)
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EdTech

Educational technology platform. Wide market, organic growth potential, mid-level monetization.

  • Wide market
  • Organic growth
  • Mid monetization
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Health Tech

Digital health solutions. Regulation-heavy, trust-focused, high LTV potential.

  • High LTV
  • Trust-focused
  • Regulation-heavy
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Social Media

Social platform. Viral growth potential but hard monetization, high churn risk.

  • Viral growth
  • Hard monetization
  • High churn risk

C2CConsumer-to-Consumer

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Marketplace

Two-sided marketplace platform. Network effects drive growth with transaction-based monetization.

  • Network effects (12%)
  • Transaction conversion (20%)
  • Commission-based ARPU