SaaS Revenue Streams Analysis

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

# Revenue streams (in thousands/month)
labels = ['Enterprise Annual', 'Pro Monthly', 'Team Plans', 'Starter',
          'API Usage', 'Support Contracts', 'Training', 'Integrations', 'Consulting']
sizes = [850, 420, 280, 145, 195, 165, 85, 120, 95]
total = sum(sizes)

# CLAUDE.md colors
colors = ['#5314E6', '#27D3F5', '#6CF527', '#F5B027', '#F5276C',
          '#276CF5', '#F54927', '#27F5B0', '#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}K ({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'Monthly Recurring Revenue - ${total/1000:.2f}M MRR', 
             fontsize=18, color='#f8fafc', fontweight='bold', pad=20)

plt.tight_layout()
plt.show()