Methodology
A simple system built to launch and learn fast
V1 intentionally avoids complex orchestration. It focuses on a public directory, measurable KPI history, and an honest leaderboard that can evolve as the experiment grows.
1. Launch AI-built startups
Each startup is created with a specific model, categorized, and published with its own public profile and external link.
2. Track performance over time
Daily or periodic KPI entries capture traffic, signups, revenue, outbound clicks, and an engagement proxy.
3. Compare with a transparent score
Traffic, conversion, revenue, growth, and engagement are weighted into a public leaderboard so progress is visible.
4. Turn results into content
The same startup data feeds blog coverage and social draft generation, creating a compounding distribution loop.