Venture Capital Fund Allocation

import matplotlib.pyplot as plt
import squarify
import numpy as np

# VC investments (in millions)
labels = ['Series A SaaS', 'Series B FinTech', 'Seed AI/ML', 'Series C Health',
          'Series A Climate', 'Seed Consumer', 'Series B Enterprise', 
          'Growth Stage', 'Reserve Fund']
sizes = [45, 65, 28, 85, 35, 18, 55, 120, 49]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#27D3F5', '#6CF527', '#5314E6', '#F5276C', '#27F5B0',
          '#F5B027', '#276CF5', '#F54927', '#C82909']

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

pct = [s/total*100 for s in sizes]
squarify.plot(sizes=sizes, 
              label=[f'{l}\n${s}M ({p:.1f}%)' for l, s, p in zip(labels, sizes, pct)],
              color=colors, alpha=0.85, ax=ax,
              text_kwargs={'fontsize': 9, 'color': 'white', 'fontweight': 'bold'})

ax.axis('off')
ax.set_title(f'VC Fund Allocation - ${total}M AUM', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()