# Okteto Financial Model

Cloud-hosted remote development environments and preview environments for software engineering teams

- Canonical: https://finamodel.com/startups/okteto
- Excel download: https://finamodel.com/startup-models/okteto.xlsx
- Category: Dev Tools
- Model type: SaaS ARR / Valuation
- Funding round: Series A
- Funding: $15M
- Founded: 2022
- Geography: Not explicitly stated; customers include US-based companies (monday.com, LaunchDarkly, Replicated)
- Customer: B2B

## About the company

Okteto provides remote, ephemeral cloud development and preview environments in Kubernetes clusters. Developers work from local IDEs while code runs against cloud front-end, API, and database components; preview environments attach to pull requests and are garbage-collected when no longer needed.

The platform offers SSO, administration, policy controls, and integrations with GitHub, GitLab, Okta, VSCode, and JetBrains. Its go-to-market is open-source and bottom-up: land a platform team, then expand through engineering. Pricing is inferred to be SaaS by seat or cluster, with no disclosed tiers or ACV.

LaunchDarkly, Replicated, and monday.com are named paying customers, with roughly 12 customer logos shown. monday.com said onboarding fell from days to almost instantly. Revenue and seat metrics are redacted. The model should forecast community users, platform teams, developer seats, compute usage, expansion, churn, enterprise controls, and margin.

## 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

Cloud-native remote development environment platform. Key capabilities:
- Remote ephemeral development environments deployed on demand in Kubernetes clusters
- Preview environments auto-attached to every pull request, garbage-collected when unused
- Developer uses local IDE; code runs against cloud cluster (front / api / db components)
- Single sign-on, admin panel, security and access policy enforcement for platform teams
- Integrations: GitHub, GitLab, Okta, VSCode, JetBrains

Value props by persona:
- Developer: one-click environment in seconds, no laptop resource constraints, production-parity
- Platform team: zero-touch onboarding, automatic resource cleanup, policy enforcement

## Revenue model

Not explicitly stated in deck. Inferred from GTM narrative:
- B2B SaaS subscription, billed per seat or per cluster; bottom-up PLG motion starting with platform team, expanding to dev teams - consistent with "engineers onboarded automatically" and daily-use workflow language
- GTM: open-source community → inbound → land platform team → expand to engineering org
- Enterprise tier likely required given SSO, Okta, admin panel, and compliance roadmap
- No pricing page or ACV/ARR per customer figures disclosed

## Traction & metrics

Named paying customers: LaunchDarkly, Replicated, monday.com
- Customer hexagon grid (slide 11) shows ~12 logos, several redacted with black bars - exact customer count not disclosed
- Customer quote: monday.com onboarding reduced from "a couple of days" to "almost instantly"
- ARR target for next 18–24 months: "Get to $ ARR" - number is blacked out in image
- No revenue, growth rate, MRR, DAU, or engineer-seat counts disclosed

## Competition / moat

Moat framing:
- Open-source community investment as category-defining wedge ("helping define the remote development environment category")
- Heavy content investment to reach developers who already understand the benefit
- Buy-vs-build argument: most companies lack resources for a dedicated internal platform; Okteto integrates with existing auth/security/deployment stack
- Named competitors: not listed. Implicit competitors include Gitpod, GitHub Codespaces, Coder, Daytona - none called out by name in deck

## Team & funding ask / use of funds

Team:
- Ramiro Berrelleza, CEO - Principal Engineer @ Atlassian; early Microsoft Azure managed services; 2nd engineer @ ElasticBox
- Pablo Chico de Guzmán, CTO - created Container-as-a-Service @ Tutum (acq. by Docker); 1st engineer @ ElasticBox; PhD in Advanced Compilation Techniques, UPM Madrid
- Ramon Lamana, CPO - Engineering @ Google; co-built EyeOS (browser virtualisation pioneer); Frontend lead @ ElasticBox

Current investors: Y Combinator, Haystack, Root Ventures, Uncorrelated

Raise / use of funds - in next 18–24 months:
- Build marketing and customer success organisations
- Support largest community around Remote Development Environments
- Reach $ ARR target

Round size, valuation, and specific ARR target are all redacted/not disclosed.

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## Recommended financial model

- **Archetype + why:** B2B SaaS ARR model with bottom-up PLG seat expansion. Revenue flows from platform team land → developer seat expansion per account. Open-source community funnel drives inbound leads; conversion to paid is the key lever. Fits standard SaaS ARR/MRR waterfall (new ARR + expansion ARR – churn).

- **Forecast horizon & granularity:** 3 years monthly (months 1–12 detailed, years 2–3 quarterly roll-up is acceptable). Monthly granularity captures the PLG ramp and sales hiring plan.

- **Key drivers & assumptions:**

| Driver | Value |
| -- | -- |
| Starting paying customers | ~3–5 named accounts visible |
| New logos per month | 2–4 in Y1, ramping to 6–10 by Y3 |
| Average seats per account at land | 10–20 developers |
| Seat expansion multiple (Y1→Y2) | 2–3× per account |
| ACV per seat | $1,200–$2,400/seat/yr |
| Gross margin | 70–75% |
| Churn (logo) | 5–8% annually |
| Net Revenue Retention | 115–130% |
| Headcount - S&M | 0→4 in Y1, scaling to ~10 by Y3 |
| Headcount - R&D | Current team ~3 founders + engineers; scale based on runway |
| CAC payback | 12–18 months |
| Forecast start date | 2022, given "Features for 2022" slide |

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - **Base:** 3 new logos/month by end of Y1; 20 seats avg at land; 2× expansion; 75% GMs
  - **Bull:** Faster logo acquisition (5/month by Q4 Y1) via open-source flywheel; higher expansion (3×); enterprise deals with 50+ seats
  - **Bear:** Slow inbound conversion (1–2 logos/month); GitHub Codespaces competitive pressure compresses ACV; higher churn (10%)

- **Required sheets / outputs:**
  1. Assumptions (all drivers in one place, clearly tagged)
  2. ARR Waterfall (new ARR, expansion ARR, churn, net new ARR, ending ARR - monthly)
  3. Seat / Logo cohort table (logo count × avg seats × ACV)
  4. P&L (Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA)
  5. Headcount plan (by function, tied to P&L opex)
  6. Cash / Runway (burn rate, months of runway given raise proceeds - amount unknown)
  7. Summary dashboard (ARR, NRR, GMs, burn, runway)

## Frequently asked questions

### Is the Okteto financial model free?

Yes. The Okteto 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.