Ngrok Financial Model

ngrok solves the problem of web services being unreachable behind firewalls, NAT, and unreliable networks. The product provides a single CLI command (`ngrok http 80`) that creates a secure tunnel exposing localhost to the internet. The platform expands from dev-time tunneling to production-grade edge infrastructure ("ngrok edge") covering acceleration, load balancing, authentication, authorization, encryption, and observability. Use cases span apps, B2B networks, hybrid IT, and IoT devices. Tagline: "Online in One Line".

• TAM: $73B. No SAM/SOM breakdown or source/methodology provided.

• Freemium developer funnel: free accounts convert to paid plans. No pricing tiers or plan names disclosed in deck.
• $0 CAC / no paid marketing - entirely product-led growth (PLG) with organic word-of-mouth and ISV documentation recommendations.
• Fully customer-funded prior to this raise ($0 raised before this round).
• ARR figure intentionally redacted on slide 4 (shows "$__ million ARR" with the number obscured).
• Revenue stream appears to be subscription/seat-based SaaS given "paid customers" language, but specifics not disclosed.

• 5.4 million total accounts
• 4,000 daily sign-ups
• 30,000 paid customers
• ARR: redacted - "$__ million ARR" shown but number blacked out
• 18,032 accounts started a tunnel within 60 seconds of account creation in April 2022
• Over 100 recommendations in leading ISV documentation (Google, Microsoft, GitHub, Amazon)
• Over 600k independent references online
• Implied free-to-paid conversion rate: 30,000 paid / 5.4M accounts = ~0.56%

• CAC: $0 - explicitly stated, no marketing spend.
• Implied: extremely high gross margins typical of developer infrastructure SaaS (no hardware, pure software delivery).

Three moat pillars explicitly stated:

1. Time To Value: 18,032 accounts activated within 60 seconds of signup (April 2022 data point) - extremely low friction.
2. Developer network: 5M+ developers, 4K daily signups - scale creates brand lock-in and habit.
3. ISV embedding: 100+ recommendations in leading ISV docs (Google, Microsoft, GitHub, Amazon); 600k+ organic references - de-facto standard designation.

Competitors not named in deck. Moat is product-led + ecosystem embedding, not paid acquisition.

• Alan Shreve - Founder & CEO. Early engineer and first SMS product developer at Twilio; developer product, developer marketing, and distributed systems background.
• Ben Sabrin - CRO. Led dev-led revenue at JBoss ($0→$60M in 4 years) and MongoDB ($0→$40M in 2 years); led Privileged Access at Okta (largest single contract).
• Peter Shafton - CTO. VP Architecture and Interim CTO at Twilio; 30+ years at Twilio, SGI, Yahoo, Cisco.
• Extended team backgrounds: Twilio, Okta, InfluxData, Instabase, Google, AWS, DigitalOcean, Netscape.
• Raise: $50M. Use of funds: Not in deck.

• Archetype + why: SaaS ARR model with PLG funnel mechanics. Revenue is subscription-based; growth is purely organic / product-led with $0 CAC. The model must capture the free-to-paid conversion funnel across a large free user base, rather than a traditional sales-driven pipeline. Secondary layer: usage-based expansion revenue is likely (tunnels, bandwidth, seats) but not confirmed in deck.

• Forecast horizon & granularity: 5-year forecast (Year 1–5), monthly granularity for Year 1–2, annual for Year 3–5. Monthly needed to model the daily sign-up funnel and conversion lag.

• Key drivers & assumptions:
• Daily new account sign-ups: 4,000/day; modest growth rate of 15% YoY as product matures
• Total free accounts at model start: 5.4M
• Paid customers at model start: 30,000
• Free-to-paid conversion rate: ~0.56% of cumulative accounts (implied by 30K/5.4M); may be higher on cohort basis
• Monthly paid churn rate: 1.0–1.5% (developer infra SaaS benchmark; no deck data)
• ARPU / ACV: unknown - ARR redacted; back-of-envelope: if ARR is ~$20–30M, ARPU = $667–$1,000/year per paid customer; model should parameterize this
• Gross margin: 75–85% (developer infrastructure SaaS benchmark; bandwidth/infra costs are the variable component)
• CAC: $0 (fully PLG) - S&M spend post-raise will need to be assumed for enterprise motion
• Headcount growth: - not in deck; model post-raise hiring plan from $50M raise
• R&D / G&A as % of revenue: typical early-growth SaaS benchmarks (~30% R&D, ~10–15% G&A)

• Scenarios (Base / Bull / Bear - which variables flex):
• Base: daily sign-ups grow 15% YoY; conversion holds at ~0.6%; ARPU expands modestly with enterprise motion
• Bull: enterprise sales motion unlocked post-raise accelerates conversion to 1.5%+ and ARPU to $2K+/year; ISV embedding drives step-change in paid accounts
• Bear: sign-up growth slows to 5% YoY; churn rises to 2.5%/month; enterprise motion takes 18+ months to ramp; raise not fully deployed efficiently

• Required sheets / outputs:

1. Assumptions dashboard (all inputs surfaced and color-coded)
2. Funnel model: free accounts → paid conversion → revenue build
3. P&L (Income Statement): ARR, revenue, gross profit, operating expenses (S&M, R&D, G&A), EBITDA
4. Headcount plan (post-raise hire ramp)
5. Cash flow and runway (critical: first external raise, $50M deploy timeline)
6. Scenario toggle (Base / Bull / Bear)
7. KPI summary: ARR, paid customers, ARPU, conversion rate, gross margin %, burn multiple