The $100M Problem Test
YC's Michael Seibel has a simple rule: If a problem affects fewer than 500 companies in a geography, the market is too small. For India, adjust that floor to 300 companies (lower GDP per capita = higher density of similar businesses).
Here's the math:
- 300 companies × ₹50L annual spend = ₹150 crore TAM
- At 10% penetration in 5 years = ₹15 crore revenue
- At 3-4x revenue multiple = ₹45-60 crore exit
Not venture-scale. You need 1,500+ addressable companies.
Filter 1: Willingness to Pay vs. Problem Severity
This is where most founders stumble. A problem can be severe but unsolvable without willingness to pay.
Example: Garment factory owners desperately need inventory management. But they've survived 20 years with spreadsheets. You'd need 100 cold calls to find one who'll sign a contract in the first quarter.
Contrast: Mid-market logistics companies hemorrhage money on manual dispatch. A 50-truck fleet loses ₹2-5 crore annually to route inefficiency. They'll pilot your SaaS in 3 weeks.
Filter:
- Interview 20 companies in your target segment
- How many mentioned the problem unprompted? (Need 12+)
- How many already spend on partial solutions? (Need 15+)
- How many said they'd pay within 90 days? (Need 8+)
If you fail any threshold, the market is mispriced.
Filter 2: The Concentration Heuristic
Paul Graham: Startups that grow fast solve problems for specific, concentrated groups first.
India's B2B is fragmented. Your TAM could be 500,000 small businesses. But can you reach them? Cost of customer acquisition matters.
High-concentration markets (you win):
- Logistics: 40,000 fleet operators in India, concentrated in 8 cities
- Dairy cooperatives: 18,000 registered cooperatives, government-listed
- Textile manufacturing: 2,000+ mid-scale factories, identifiable via FIEO
Low-concentration markets (you lose):
- Retail shops: 3+ million across 25,000 cities
- Plumbers/electricians: 5+ million, zero industry body
- FMCG distributors: 700,000+ spread nationwide
Your CAC to LTV ratio only works if you can reach customers through 3-4 channels: industry associations, direct sales, partnerships, or geographic clusters.
Filter 3: The Replacement Cost Test
This separates real $100M problems from feature requests.
If a company switched to your product, what would they lose or have to replace?
High replacement cost (risky, but real problem):
- ERP migration: Costs ₹50L-2Cr, 6-month implementation. But saves ₹5Cr+ annually. Problem is real.
- Supply chain visibility: Replaces SAP modules (₹1Cr+ initial). Annual savings: ₹10Cr for mid-market. Real problem.
Low replacement cost (feature, not product):
- Attendance tracking software: Replaces a spreadsheet. Risk is near-zero. Company won't pay ₹20L annually for zero switching cost.
- Expense management: Integrates with existing systems. No replacement needed. Feature, not product.
Test: Ask 15 target customers—"How much would switching to us cost you in data migration, training, and process change?" If the answer is under 3 months of annual savings, it's not a $100M problem.
Market Sizing: The Scott Belsky Method
From The Messy Middle: Stop guessing TAM. Build from unit economics upward.
Step 1: Find one customer who'll share their metrics.
- How many similar companies exist in their peer network?
- How much do they spend annually on solutions?
Step 2: Validate with 3-5 comparable companies across geographies.
Step 3: Apply to India:
- If your customer segment has 1,200 companies nationally
- Each spends ₹40L annually on your solution category
- Your addressable market = ₹48 crore (1,200 × ₹40L)
- At 25% penetration in 5 years = ₹12 crore revenue
This is venture-scale only if you have a 2-year path to 1,000+ customers.
The Non-Obvious Insight
Tier-2 Indian markets (Ahmedabad, Nagpur, Lucknow) have worse software adoption but higher problem-severity. Founders optimizing for fast early wins should start in tier-2, not Bangalore. Higher willingness to pay once you solve their pain.
Actionable Takeaway
Before your next investor meeting, run this audit:
1. List your target customer segment (be specific: "mid-market 3PL operators in North India").
2. Count addressable companies: How many exist? Get to 1,500+.
3. Interview 20: Do 12+ mention the problem unprompted? Do 8+ commit to paying within 90 days?
4. Calculate replacement cost: Does switching cost 3+ months of annual savings?
5. Check concentration: Can you reach 100 customers for under ₹50L CAC?
If you fail step 3 or 4, you have a feature, not a $100M problem. Pivot before you raise.
The hard part isn't building. It's choosing the right problem to solve.