Startup Funding Runway Analysis

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Patch

categories = ['Series A\nFunding', 'Engineering\nTeam', 'Sales &\nMarketing', 'Operations', 
              'Infrastructure', 'Legal &\nAdmin', 'Revenue\nOffset', 'Remaining\nRunway']
values = [0, -180, -120, -45, -35, -25, 85, 0]

initial = 500
running_total = initial
bottoms, heights, colors = [], [], []

for i, (cat, val) in enumerate(zip(categories, values)):
    if 'Series' in cat:
        bottoms.append(0)
        heights.append(initial)
        colors.append('#22c55e')
    elif 'Remaining' in cat:
        bottoms.append(0)
        heights.append(running_total)
        colors.append('#3b82f6' if running_total > 100 else '#f59e0b')
    elif val > 0:
        bottoms.append(running_total)
        heights.append(val)
        colors.append('#22c55e')
        running_total += val
    else:
        bottoms.append(running_total + val)
        heights.append(abs(val))
        colors.append('#ef4444')
        running_total += val

fig, ax = plt.subplots(figsize=(14, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

x = np.arange(len(categories))
bars = ax.bar(x, heights, bottom=bottoms, color=colors, width=0.65, edgecolor='#e5e7eb', linewidth=1)

for i, (bar, val, bot, height) in enumerate(zip(bars, values, bottoms, heights)):
    y_pos = bot + height / 2
    if 'Series' in categories[i] or 'Remaining' in categories[i]:
        label = f"${height}K"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, ha='center', va='center', 
                fontsize=11, fontweight='bold', color='white')
    else:
        label = f"+${val}K" if val > 0 else f"-${abs(val)}K"
        ax.text(bar.get_x() + bar.get_width()/2, y_pos, label, ha='center', va='center', 
                fontsize=10, fontweight='bold', color='white')

for i in range(len(x) - 1):
    y = initial if i == 0 else bottoms[i] + heights[i]
    ax.plot([x[i] + 0.35, x[i+1] - 0.35], [y, y], color='#9ca3af', linestyle='--', linewidth=1.5, alpha=0.7)

ax.set_xlim(-0.6, len(categories) - 0.4)
ax.set_ylim(0, initial * 1.1)
ax.set_xticks(x)
ax.set_xticklabels(categories, fontsize=9, color='#374151')
ax.set_ylabel('Cash ($ Thousands)', fontsize=12, color='#374151', fontweight='500')
ax.set_title('12-Month Cash Runway Analysis', fontsize=16, color='#111827', fontweight='bold', pad=20)
ax.tick_params(axis='y', colors='#374151', labelsize=10)
ax.yaxis.grid(True, linestyle='--', alpha=0.4, color='#e5e7eb')
ax.set_axisbelow(True)
for spine in ax.spines.values():
    spine.set_color('#d1d5db')

# Calculate runway in months
monthly_burn = (initial - running_total - 85) / 12  # Net of revenue
runway_months = running_total / monthly_burn if monthly_burn > 0 else 0
ax.annotate(f'Monthly Burn: ${monthly_burn:.0f}K | Runway: {runway_months:.0f} months', xy=(0.98, 0.95), xycoords='axes fraction',
            fontsize=10, color='#2563eb', ha='right', fontweight='bold',
            bbox=dict(boxstyle='round,pad=0.4', facecolor='#eff6ff', edgecolor='#3b82f6'))

legend_elements = [Patch(facecolor='#22c55e', label='Funding/Revenue'), Patch(facecolor='#ef4444', label='Burn Rate'),
                   Patch(facecolor='#3b82f6', label='Remaining Cash')]
ax.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, -0.1), ncol=3, fontsize=9,
          facecolor='white', edgecolor='#d1d5db', labelcolor='#374151')

plt.tight_layout()
plt.subplots_adjust(bottom=0.15)
plt.show()