# Hum Capital Financial Model B2B fintech marketplace connecting growth-stage companies to institutional debt/equity investors via an AI-powered "Intelligent Capital Market" (ICM) platform. - Canonical: https://finamodel.com/startups/hum-capital - Excel download: https://finamodel.com/startup-models/hum-capital.xlsx - Category: Fintech - Model type: Marketplace / GMV - Funding round: Series A - Funding: $9M - Founded: 2021 - Geography: US-headquartered (530 7th Ave, New York, NY 10018); investor and company base not geographically restricted in deck. - Customer: B2B ## About the company Hum Capital operates an AI-powered capital marketplace connecting growth-stage companies with institutional debt and equity investors. Its Intelligent Capital Market combines financing discovery with data and analytics intended to make private-capital processes more efficient. The core monetisation is a success fee on financings that close through the platform, while ongoing analytics may support a secondary subscription opportunity. Closed financing volume and active deal pipeline therefore matter more than a conventional SaaS user count. The model should forecast companies seeking capital, investor participation, financing pipeline, conversion to closed deals, average deal size, and success-fee take rate. If analytics becomes paid, add customer subscriptions and ARPU separately so marketplace transaction revenue and recurring platform revenue remain comparable. ## What's included - 5-year monthly revenue build with stage-appropriate growth assumptions - Full P&L, headcount plan, and operating-expense schedule - Cash-flow statement, runway, and burn-rate tracking - Valuation via exit multiple with a DCF cross-check - Returns analysis with MOIC and IRR - Unit economics including CAC, LTV, payback, and cohort retention ## Product & value proposition - ICM platform: companies upload financials from SaaS systems of record (QuickBooks, Stripe, etc.); Hum's data pipeline auto-structures, benchmarks, and analyzes the data. - Companies get an "investor's view" of their own business - runway, revenue, IRR by marketing channel, peer benchmarks - before pitching. - Investors get pre-screened deal flow with standardized financial analytics, reducing due diligence time. - Positioning: "Kayak.com for private capital" - companies receive multiple competing term sheets (avg. 3.3 per company). - Network effects: more companies → more diverse investor demand → lower cost of capital → more companies join. - Technical moat: Data Acquisition Engine → Cross-data Standardization Suite → Ground Truth Data Dictionary; covers >220 industries from first dollar of revenue to IPO. ## Market - Institutional credit market (TAM framing): $1.5T market size by 2025, generating $44B in fees by 2025. - Fee pool trajectory (gross margin $ from chart, 2021–2025): $28B → $32B → $35B → $39B → $44B. - Y-axis label on chart is "Gross Margin $" - implies Hum frames the TAM as addressable fee/gross-profit pool, not total capital deployed. - Hum's share shown as a thin blue sliver vs. "Rest of the market" - early penetration stage as of 2021. ## Revenue model - Primary: success fees on closed financings (marketplace take-rate model). Deck references "$400M+ closed financings in 2021 (YTD)" and "$3.5B GMV of active financings." - The fee rate / take-rate percentage is not disclosed in the deck. - Possible secondary: SaaS subscription or analytics fees for companies (the platform provides ongoing analytics, suggesting potential SaaS layer) - typical for this model but not explicitly stated in deck. - Investors may also pay for deal flow access or AUM deployment tools - Not in deck. ## Traction & metrics All figures from slide 5 KPI dashboard (image-verified): - Total companies on ICM: 2,000+ - Daily active companies: >500 - Revenue of daily-active companies (TTM): >$10B (aggregate customer revenue, not Hum's own revenue) - Gross Monetary Value (GMV) of active financings: $3.5B - Closed financings in 2021 (YTD): >$400M - Avg. competitive term sheets per company: 3.3 - Active institutional investors on ICM: 250+ - Investor AUM focused on Hum's universe: $11B+ - Note: Hum's own revenue (i.e., fees earned) is not disclosed; only GMV and closed financing volume are shown. ## Unit economics - Platform dashboard (slide 7) shows sample company metrics (7.6 mo runway, $2.7M revenue, 133% avg. IRR on sales & marketing spend) - these are illustrative customer data, not Hum's own economics. ## Competition / moat - Competitive framing: "without Hum" = cold outreach to individual investors (weeks of meetings, no data leverage). - No direct competitors named in the deck. - Moats stated: 1. Data moat: millions of observed financial data points across >220 industries; proprietary Cross-data Standardization Suite. 2. Network effects: two-sided marketplace with self-reinforcing flywheel (more companies → more investors → better capital options → more companies). 3. Team: blend of Stanford engineers + Wall Street investors (KKR CFO, Credit Suisse quant, Oaktree legal, Twitch engineering). ## Team & funding ask / use of funds Team (slide 10): - Blair Silverberg - Founder / CEO (Stanford Engineering) - Csaba Konkoly - Co-Founder / President (Commonwealth) - Chris Olivares - Co-Founder / CTO (Stanford Engineering) - Scott Brown - CMO (Google) - Ken Eagle - CFO (KKR) - Yotam Troim - CPO (Fundbox) - Emily Stephens - Special Legal Advisor (Oaktree) - Chris Dolezalek - EVP Engineering (Twitch) - David Wood - Head of Quantitative Strategies (Credit Suisse) --- ## Recommended financial model **Archetype + why:** Marketplace GMV / take-rate revenue model with SaaS analytics overlay. - Hum earns fees on financed deal flow (GMV × take-rate = revenue), which is classic marketplace mechanics. The analytics/data platform layer may generate a subscription revenue stream, but the primary driver is closed financing volume. - Two revenue lines to model: (1) Financing fees = GMV closed × take-rate; (2) Platform SaaS / data subscription if that layer exists. **Forecast horizon & granularity:** 5 years (2022–2026), monthly in Years 1–2, quarterly in Years 3–5. As of deck date (2021), the business is in early-growth; monthly granularity needed to track GMV pipeline conversion. **Key drivers & assumptions:** *Supply side (companies):* - Total companies on ICM: 2,000+; growth rate ~50–80%/yr early, tapering to 25%/yr by Year 3 as market matures - Daily active company (DAC) rate: >500/day implied ~25% DAC/total ratio; stable at 20–25% - Average revenue of active companies (TTM): >$10B across 500+ DACs = ~$20M avg revenue per DAC; stable mix - mix of seed-stage to growth-stage companies *Demand side (investors):* - Active institutional investors: 250+; grows ~30%/yr as platform track record builds - Investor AUM on platform: $11B+; grows with investor count and AUM per investor *GMV & deal flow:* - GMV pipeline (active financings): $3.5B; represents ~6–9 month pipeline; conversion to closed ~10–15% per quarter - Closed financing volume (YTD 2021): >$400M; annualized ~$600–800M - Avg. deal size: ~$2–5M per financing (SMB/growth-stage debt/equity) - Avg. term sheets per company: 3.3 - indicates strong investor competition; maintained as quality signal *Revenue:* - Take-rate on closed financings: 1–3% of deal value (typical range for private capital placement agents / fintech marketplaces; exact rate not disclosed) - Revenue = Closed GMV × take-rate; implied 2021 run-rate: $600–800M × 2% = $12–16M ARR - SaaS/analytics subscription: $0–5K/month per active company; not confirmed in deck - treat as upside scenario only *Costs:* - Headcount: engineering-heavy (Stanford + Twitch pedigree); ~30–60 FTEs at this stage - COGS: primarily cloud/data infrastructure; 20–30% gross margin drag on GMV fees - S&M: high relative to revenue in early years; company acquisition cost likely low (companies come for analytics, not just capital) **Scenarios (Base / Bull / Bear - which variables flex):** - Base: Closed GMV grows ~60%/yr, take-rate 1.5–2%, SaaS layer minimal - Bull: Take-rate expands to 2.5–3% as platform proves value; closed GMV grows >100%/yr; SaaS subscription layer launches; international expansion - Bear: Take-rate compressed by competition to <1%; GMV growth slows to 25–30%/yr; DAC rate declines; institutional investors pull back in credit downturn **Required sheets / outputs:** 1. Assumptions - all drivers with / tags 2. GMV Model - pipeline build → conversion → closed GMV by quarter 3. Revenue - take-rate fees + optional SaaS line 4. P&L - revenue, COGS (infra), gross profit, S&M, R&D, G&A, EBITDA 5. Headcount plan - tied to growth milestones 6. Cash flow & runway 7. KPI dashboard - GMV, DACs, companies on platform, investors, take-rate, CAC (when data available) 8. Scenarios sheet (Base / Bull / Bear toggles) ## Frequently asked questions ### Is the Hum Capital financial model free? Yes. The Hum Capital model is a free Excel download with live formulas. ### Can I change the assumptions? Yes. The workbook is editable and its live formulas recalculate when assumptions change.