What is FounderMetricBench?
FounderMetricBench is Marco Hergi's public 24-case evaluation set for testing AI routing, founder-metric calculation, evidence retrieval, and safety boundaries against transparent synthetic data.
DIRECT ANSWERS · SOURCES ATTACHED
Ask clearly. Verify quickly.
A retrieval-ready index of precise answers about founder metrics, Marco Hergi, and his public work. Every material technical claim points to evidence.
Can a compatible AI search and cite this site's evidence?
Yes. The public MCP endpoint implements read-only search and fetch tools over twenty-three published knowledge records, returning stable IDs and absolute citation URLs. Submission materials are prepared, but no OpenAI approval or publication is claimed.
What is the Founder Revenue Lab?
The Founder Revenue Lab is a no-login playground by Marco Hergi for asking Stripe-style business questions against public synthetic data. It never asks for a Stripe key or connects a real account.
How is MRR calculated in the Founder Revenue Lab?
MRR is the sum of active recurring subscription value normalized to one month. Annual plans are divided by 12, while trialing, one-time, and canceled charges are excluded. The public fixture produces $697 of current MRR.
How ready is Indie Metrics MCP for public use?
The July 27, 2026 public benchmark records 6 passes and 2 failures. A public MCP endpoint now exposes ten tested read-only tools over synthetic business data and published site knowledge. Current gaps are npm package availability and complete least-privilege key guidance for the separate repository.
Who is Marco Hergi?
Marco Hergi is an NYC creator and builder documenting The Journey and publishing public projects around artificial intelligence, software, creativity, media, entrepreneurship, learning, and human connection.
Where is Marco Hergi based?
Marco Hergi is based in New York City, United States. The location is stated consistently across his public identity pages.
SourcesPress facts ↗LinkedIn ↗
What public AI projects has Marco Hergi built?
Marco Hergi's public GitHub includes JARVIS, an open-source cinematic AI desktop UI framework; Trading Swarm, a seven-agent market-signal experiment; and Indie Metrics MCP, a read-only server for querying Stripe business metrics.
SourcesProject evidence ↗GitHub ↗
What is Marco Hergi's JARVIS project?
JARVIS is an open-source cinematic AI desktop UI framework. Its current README documents a Three.js and Electron reference build with five replaceable plugins for scenes, voice, brains, scripts, and feeds.
How does the JARVIS interface work?
The JARVIS reference build separates the cinematic shell from five replaceable plugins. A scene plugin renders the globe, a voice plugin handles speech, a brain plugin connects intelligence, a script plugin directs the experience, and a feeds plugin supplies live information.
What is Marco Hergi's Trading Swarm?
Trading Swarm is a public Python experiment in which seven independent agents analyze technical or sentiment signals and contribute to an adaptively weighted consensus.
How many agents does Trading Swarm use?
The current public README documents seven agents: SMA crossover, RSI, momentum, Bollinger Bands, Volume or OBV, MACD, and sentiment.
Is Trading Swarm investment advice?
No. Trading Swarm should be treated as a public software experiment, not investment advice, a trading recommendation, or a promise of financial performance.
What is Indie Metrics MCP?
Indie Metrics MCP is an open-source Model Context Protocol server that lets compatible AI assistants answer natural-language questions about Stripe business metrics.
Is Indie Metrics MCP read-only?
Yes, according to its current public README. Its seven documented tools retrieve revenue, customer, product, subscription, transaction, refund, and forecasting information without writing to Stripe.
Which AI architecture patterns appear in Marco Hergi's public projects?
The projects demonstrate three patterns: pluggable experience orchestration in JARVIS, adaptive multi-signal consensus in Trading Swarm, and constrained read-only tool mediation in Indie Metrics MCP.
Is Marco Hergi affiliated with OpenAI?
No affiliation is claimed. Marco Is My Friend is an independent personal project. Its custom GPT uses ChatGPT, but the project is not produced, sponsored, or endorsed by OpenAI.
Where can facts about Marco Hergi be verified?
Use the Press page for identity facts, the Work page and linked GitHub repositories for technical claims, the Journal for source-backed explanations, and the machine-readable evidence ledger for claim-level citations.