Executive Summary Read First |
One paragraph that answers: what problem, who has it, your solution, market size, traction to date, and ask (funding amount + use of funds). Written last but read first. |
Too long (>300 words), buried in vague language, no mention of traction or ask |
Include DPIIT Startup India recognition status if applicable — signals legitimacy to Indian angels |
Problem Statement Most Skipped |
The specific, quantified pain your customer experiences — with evidence from real interviews, not assumptions. Must show the problem is frequent, acute, and unsolved. |
Generic ("small businesses struggle with cash flow"), no primary research cited, pain is too mild to drive purchase |
India benchmark: problem affects a minimum addressable segment of 1M+ people or ₹500 Cr+ in addressable spend to be venture-scale |
Solution & Product Core Section |
Precisely how your product solves the stated problem — with screenshots, demo link, or prototype reference. Investors must understand the product in 60 seconds. |
Too technical, no visual reference, solution doesn't map directly to the stated problem |
Mobile-first is mandatory for consumer India; include Bharat language support plan if targeting Tier 2/3 markets |
Market Size (TAM/SAM/SOM) Validated by Data |
Bottom-up calculation of your addressable market — not top-down "India has 1.4B people" math. Show the number of real buyers, realistic price, and realistic market share capture over 5 years. |
Top-down only, unrealistically large SOM, no source citations for market data |
Sources: NASSCOM, Inc42, RedSeer, Tracxn, IBEF, RBI data. SOM should be achievable in 3 years at your projected burn rate |
Business Model Revenue Logic |
How you make money per customer — pricing model, revenue streams, payment frequency, and expansion revenue path. Must show the path from first rupee to sustainable unit economics. |
Vague ("we will monetise later"), multiple revenue streams listed without prioritisation, no unit economics |
India benchmark: SaaS ARPU ₹3,000–₹15,000/month for SMB, ₹50,000–₹5L/month for enterprise; D2C gross margins 50–65% |
Competitive Landscape Investor Filter |
A 2×2 matrix or feature comparison table showing where you win vs. incumbents and direct competitors. Must name real competitors — saying "we have no competition" is an instant red flag. |
No named competitors, comparison criteria chosen to make you look good rather than be honest, no moat articulated |
Include both Indian and global competitors. If global players haven't entered India, explain why — that's either your moat or a risk |
Traction & Metrics Proof of Demand |
Hard numbers: revenue (even ₹1 of revenue matters), users, DAU/MAU, NPS, customer interviews completed, pilots running. At pre-seed, traction is validation, not scale. |
Only vanity metrics (downloads, signups), no retention data, no revenue even at MVP stage |
Indian seed benchmark: ₹5–₹30L ARR or 500+ paying users, or 10+ enterprise pilots. Zero revenue is acceptable at idea stage with strong team and market proof |
Financial Projections 3-Year Model |
Monthly P&L for Year 1, annual for Years 2–3. Must show revenue build-up by customer cohort, cost structure, burn rate, break-even month, and path to profitability or next funding milestone. |
Hockey-stick projections with no assumptions, costs ignored after Year 1, no break-even analysis |
Indian investors expect 10–15x revenue growth Year 1→2 at idea stage; break-even by Month 18–24 for operational/growth stage |
Team Top Investor Filter |
Why this team specifically can win this market. Domain expertise, prior startup experience, complementary skills, and unfair advantages (distribution relationships, regulatory expertise, proprietary data). |
Bios that list qualifications without connecting them to why the team can win, missing key role hires not addressed |
Indian investors weight "founder-market fit" heavily — did you live the problem yourself? Do you have deep domain relationships in this vertical? |