startup-financial-modeling by wshobson/agents
npx skills add https://github.com/wshobson/agents --skill startup-financial-modeling为早期初创企业构建全面的3-5年财务模型,包含收入预测、成本结构、现金流分析和情景规划。
财务建模为初创企业的战略制定、融资和运营规划提供量化基础。通过基于客户群的收入建模、详细的成本结构和情景分析,创建现实的预测,以支持决策制定和投资者演示。
基于客户群的预测: 通过客户群的新客户获取和留存来构建收入。
公式:
MRR = Σ (客户群规模 × 留存率 × ARPU)
ARR = MRR × 12
关键输入:
运营费用类别:
销售成本 (COGS)
销售与营销 (S&M)
研发 (R&D)
广告位招租
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一般及行政管理 (G&A)
组成部分:
公式:
资金跑道 = 当前现金余额 / 月度资金消耗率
月度资金消耗 = 月度收入 - 月度支出
基于角色的招聘计划: 按部门和角色跟踪人员编制。
关键指标:
典型比率 (早期SaaS公司):
保守情景 (P10):
基准情景 (P50):
乐观情景 (P90):
详细预测:3年
高层级预测:第4-5年
明确收入模型和定价。
SaaS模型:
市场平台模型:
交易模型:
使用基于客户群的方法以提高准确性。
月度客户获取: 定义每月获取的新客户数量。
留存曲线: 模拟客户随时间推移的留存情况。
典型SaaS留存率:
收入计算: 对于每个客户群,计算每月留存客户数 × ARPU。
按类别和行为分解成本。
固定成本与可变成本:
规模扩展假设:
按角色和部门模拟人员编制增长。
输入:
示例:
工程师:$150K 工资 × 1.35 = $202K 全成本
销售代表:$100K 总薪酬 × 1.30 = $130K 全成本
计算月度现金状况和资金跑道。
月度现金流:
期初现金
+ 已收收入 (考虑付款条件)
- 已付运营费用
- 资本支出
= 期末现金
资金跑道计算:
如果 期末现金 < 0:
资金需求 = 负现金余额
资金跑道 = 0
否则:
资金跑道 = 期末现金 / 平均月度资金消耗
跟踪与所处阶段相关的重要指标。
收入指标:
单位经济效益:
效率指标:
现金指标:
使用不同的假设创建三种情景。
可变假设:
固定假设:
收入驱动因素:
关键比率:
示例预测:
第1年:$500K ARR,50个客户,12月MRR达到$100K
第2年:$2.5M ARR,200个客户,12月MRR达到$208K
第3年:$8M ARR,600个客户,12月MRR达到$667K
收入驱动因素:
关键比率:
示例预测:
第1年:$5M GMV,15%抽成率 = $750K 收入
第2年:$20M GMV,15%抽成率 = $3M 收入
第3年:$60M GMV,15%抽成率 = $9M 收入
收入驱动因素:
关键比率:
收入驱动因素:
关键比率:
投前估值: 基于指标和可比公司。
稀释:
投后估值 = 投前估值 + 投资额
稀释百分比 = 投资额 / 投后估值
资金用途: 分配资金以延长资金跑道并实现里程碑。
示例:
融资:$5M,投前估值$20M
投后估值:$25M
稀释:20%
资金用途:
- 产品开发:$2M (40%)
- 销售与营销:$2M (40%)
- 一般及行政管理和运营:$0.5M (10%)
- 营运资金:$0.5M (10%)
确定关键里程碑:
融资金额: 确保资金跑道足以实现下一个里程碑 + 6个月缓冲期。
陷阱1:过于乐观的收入预测
陷阱2:低估成本
陷阱3:忽略现金流时间安排
陷阱4:静态的人员编制
陷阱5:不进行情景规划
合理性检查:
与同行对标: 将关键指标与相似阶段、相似类型的公司进行比较。
投资者反馈: 与顾问或投资者分享模型,获取关于假设的反馈。
创建初创企业财务模型的步骤:
每周安装量
3.7K
代码仓库
GitHub星标数
32.2K
首次出现
2026年1月20日
安全审计
安装于
claude-code2.9K
opencode2.8K
gemini-cli2.8K
codex2.7K
cursor2.7K
github-copilot2.4K
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups.
Financial modeling provides the quantitative foundation for startup strategy, fundraising, and operational planning. Create realistic projections using cohort-based revenue modeling, detailed cost structures, and scenario analysis to support decision-making and investor presentations.
Cohort-Based Projections: Build revenue from customer acquisition and retention by cohort.
Formula:
MRR = Σ (Cohort Size × Retention Rate × ARPU)
ARR = MRR × 12
Key Inputs:
Operating Expenses Categories:
Cost of Goods Sold (COGS)
Sales & Marketing (S&M)
Research & Development (R&D)
General & Administrative (G&A)
Components:
Formula:
Runway = Current Cash Balance / Monthly Burn Rate
Monthly Burn = Monthly Revenue - Monthly Expenses
Role-Based Hiring Plan: Track headcount by department and role.
Key Metrics:
Typical Ratios (Early-Stage SaaS):
Conservative Scenario (P10):
Base Scenario (P50):
Optimistic Scenario (P90):
Detailed Projections: 3 Years
High-Level Projections: Years 4-5
Clarify revenue model and pricing.
SaaS Model:
Marketplace Model:
Transactional Model:
Use cohort-based methodology for accuracy.
Monthly Customer Acquisition: Define new customers acquired each month.
Retention Curve: Model customer retention over time.
Typical SaaS Retention:
Revenue Calculation: For each cohort, calculate retained customers × ARPU for each month.
Break down costs by category and behavior.
Fixed vs. Variable:
Scaling Assumptions:
Model headcount growth by role and department.
Inputs:
Example:
Engineer: $150K salary × 1.35 = $202K fully-loaded
Sales Rep: $100K OTE × 1.30 = $130K fully-loaded
Calculate monthly cash position and runway.
Monthly Cash Flow:
Beginning Cash
+ Revenue Collected (consider payment terms)
- Operating Expenses Paid
- CapEx
= Ending Cash
Runway Calculation:
If Ending Cash < 0:
Funding Need = Negative Cash Balance
Runway = 0
Else:
Runway = Ending Cash / Average Monthly Burn
Track metrics that matter for stage.
Revenue Metrics:
Unit Economics:
Efficiency Metrics:
Cash Metrics:
Create three scenarios with different assumptions.
Variable Assumptions:
Fixed Assumptions:
Revenue Drivers:
Key Ratios:
Example Projection:
Year 1: $500K ARR, 50 customers, $100K MRR by Dec
Year 2: $2.5M ARR, 200 customers, $208K MRR by Dec
Year 3: $8M ARR, 600 customers, $667K MRR by Dec
Revenue Drivers:
Key Ratios:
Example Projection:
Year 1: $5M GMV, 15% take rate = $750K revenue
Year 2: $20M GMV, 15% take rate = $3M revenue
Year 3: $60M GMV, 15% take rate = $9M revenue
Revenue Drivers:
Key Ratios:
Revenue Drivers:
Key Ratios:
Pre-Money Valuation: Based on metrics and comparables.
Dilution:
Post-Money = Pre-Money + Investment
Dilution % = Investment / Post-Money
Use of Funds: Allocate funding to extend runway and achieve milestones.
Example:
Raise: $5M at $20M pre-money
Post-Money: $25M
Dilution: 20%
Use of Funds:
- Product Development: $2M (40%)
- Sales & Marketing: $2M (40%)
- G&A and Operations: $0.5M (10%)
- Working Capital: $0.5M (10%)
Identify Key Milestones:
Funding Amount: Ensure runway to achieve next milestone + 6 months buffer.
Pitfall 1: Overly Optimistic Revenue
Pitfall 2: Underestimating Costs
Pitfall 3: Ignoring Cash Flow Timing
Pitfall 4: Static Headcount
Pitfall 5: Not Scenario Planning
Sanity Checks:
Benchmark Against Peers: Compare key metrics to similar companies at similar stage.
Investor Feedback: Share model with advisors or investors for feedback on assumptions.
To create a startup financial model:
Weekly Installs
3.7K
Repository
GitHub Stars
32.2K
First Seen
Jan 20, 2026
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Installed on
claude-code2.9K
opencode2.8K
gemini-cli2.8K
codex2.7K
cursor2.7K
github-copilot2.4K