Tick JIANG, CQF

how to build with zero employees

by

Quick backstory: I spent $350K hiring a 7-person team that never shipped our MVP. Then I learned to code with AI tools (Cursor, Claude Code, Codex) and built a 340K-line platform with my co-founder Duan and 34 AI agents. Zero employees. The full story is on our blog: nuvc.ai/blog/two-founders-19-ai-agents-zero-employees

What NUVC actually does:

You upload a pitch deck PDF. Eight AI agents process it in parallel — Mia extracts every slide, Charlotte checks for inconsistencies between your numbers, Ava verifies public data, and Olivia scores you across 7 VC investment dimensions. Under 60 seconds.

The scoring engine (NuScore v5.4) is calibrated on 610+ real investment decisions from 4 independent sources — not generic AI trained on the internet. When we say your Financials scored 4.6, that's benchmarked against funded startups at your stage.

Three things that make this different from asking ChatGPT to review your deck:

1. Consistent framework — same 7 dimensions, same weights, every time. No reviewer bias.

2. Calibrated on real outcomes — not opinions, not vibes, not "I think your TAM is too big."

3. Actionable per dimension — "Your Risk score is 4.3. Add a risk section naming your 3 biggest risks with mitigation plans. This typically moves Risk by +1.2 points."

The average first upload scores 5.15/10. Most founders are surprised — they expected higher. That's the point. The score isn't a grade; it's a starting point. Fix your weakest dimension, re-upload, watch it move.

Free to try: nuvc.ai

Happy to answer anything about the scoring methodology, the AI architecture, or how we run a VC intelligence platform with 34 agents and zero payroll.

```

1 view

Add a comment

Replies

Be the first to comment