← Evaluations/EVAL-20260402-211750
analysis
Apr 02, 2026ANALYSIS-027

Analyze the network effects of these platforms: (1) WhatsApp, (2) Uber, (3) GitHub, (4) Airbnb. For each: classify the network effect type (direct, indirect, cross-side), identify the cold-start problem and how they solved it, assess how defensible the network effect is today, and predict whether a well-funded competitor could displace them. Which has the strongest moat and why?

Winner
Grok 4.20
openrouter
9.14
WINNER SCORE
matrix avg: 8.20
↓ results.json↓ report.mdFull dataset (CSV) →
10×10 Judgment Matrix · 89 judgments
OPEN DATA
Judge ↓ / Respondent →DeepSeek V4MiMo-V2-FlashGemini 3.1 ProClaude Opus 4.6GPT-5.4Claude Sonnet 4.6Grok 4.20GPT-OSS-120BGemini 3MiniMax M2.5
DeepSeek V4—8.88.49.09.08.79.08.89.08.8
MiMo-V2-Flash9.0—7.88.29.29.09.28.69.29.2
Gemini 3.1 Pro9.78.3—7.87.57.09.76.610.06.8
Claude Opus 4.68.08.67.1—8.27.89.07.58.88.0
GPT-5.48.07.04.55.0—4.88.65.08.67.8
Claude Sonnet 4.68.09.07.38.88.8—9.27.88.88.8
Grok 4.208.78.88.38.88.88.7—8.68.78.7
GPT-OSS-120B8.28.34.36.77.55.58.7—8.7·
Gemini 39.89.68.39.69.68.39.89.3—9.0
MiniMax M2.58.88.76.57.28.76.89.26.08.4—