# Scrintal Financial Model Visual knowledge base that lets knowledge workers think, develop, and share ideas on an infinite canvas with linked cards. - Canonical: https://finamodel.com/startups/scrintal - Excel download: https://finamodel.com/startup-models/scrintal.xlsx - Category: Enterprise/Security - Model type: SaaS ARR / Valuation - Funding round: Seed - Funding: $1.08M - Founded: 2022 - Geography: Europe-first (founder contact is Swedish; market size cited in EUR, Europe only); global ambition. - Customer: B2B ## About the company Scrintal is a visual knowledge base built around an infinite canvas and linked cards. It helps knowledge workers think through, develop, and share ideas in a format that combines notes, connections, and visual spatial organisation. The company has a prosumer product-led motion with a path to team and enterprise use. Organic referrals and viral sharing are central to acquisition, while collaboration and shared knowledge workflows offer an eventual higher-value team upsell. The model follows free users, activation, paid conversion, annual subscriptions, retention, and referrals by cohort. It layers team upsell on top, then connects cloud delivery, PLG acquisition, gross margin, support, hiring, and cash runway to the ARR build. ## 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 - Infinite-canvas whiteboard where users write rich notes (text, images, video, PDFs) inside cards, then visually cluster and connect them with backlinks. - Positions as a hybrid between note-taking (Notion-style depth) and mind-mapping / visual collaboration (Miro-style spatial layout). - Three-step workflow: Think → Develop → Share - all in one app. Claims 10x execution speed and 90% cost saving vs. multi-app stacks. - Target users: "Strategists" - Consultants, Business Division Heads/Executives, Tech Leads/Managers. ## Market - TAM: Productivity management software market - ~$67bn in 2020, growing to ~$120bn by 2028, CAGR ~14% per year. - Addressable universe: 1+ billion professionals in knowledge-heavy jobs. - Remote work tailwind: 159% growth in remote work over the last 12 years. - European market: €119bn total market by 2026 (Europe only). - SOM target: 10% market share → €10bn enterprise value implied. - Comparable platforms cited: Atlassian ($2.1bn 2021 revenue, 37% rev CAGR, 3,600 employees); Lynda.com ($1.5bn acquisition by LinkedIn in 2015, $150M revenue); Notion ($10bn valuation 2021); Miro ($17.5bn valuation end of 2021). ## Revenue model - Early access plan: $60 per user, upfront, annual usage (one-time / annual prepay). - Implied ARPU: $60/year per seat at early access pricing. - Channel: Organic / viral / referral (PLG). €0.0X spent per sign-up (near-zero paid CAC). - Future: Team/enterprise tier implied by use-of-funds (enterprise-readiness, public API, integrations). - Freemium or free trial likely - standard for PLG SaaS; not explicitly stated in deck. ## Traction & metrics - Waitlist: "xx 000+" (exact number redacted). - Referral share of waitlist: "XX%" (redacted). - Shares via email and social: "XX,000" (redacted). - CAC: "€0.0X per sign-up" (sub-€1, near-zero). - Growth: Actual growth consistently exceeded initial target; exponential curve shape visible. - Revenue: "$X revenue generated in Y weeks" - total revenue amount and weeks redacted. - Early access buyers: "X+" (redacted). - Retention: "Power users have X% retention after X months" - both figures redacted. Power users defined as Business Executives, Consultants, and Tech Managers. - Total users onboarded: "X" (redacted). - ARR target: "€X million ARR by end of X" - both targets redacted. - User research base: "100+ people" spoken to before building. - Customer testimonial metrics: -30% meetings, 5x speed for meeting prep, -66% apps used, -50% time on strategic planning. ## Unit economics - CAC: "€0.0X per sign-up" - sub-€1 for organic/referral channel. - Price per seat: $60/year (early access). - LTV: Not explicitly stated. At $60/year and even moderate retention (>2 years), LTV/CAC ratio is extremely high given near-zero CAC. ## Competition / moat - Positioning: Only end-to-end knowledge management tool combining visuality + depth (brainstorming through final work). - vs. Note-taking tools (Notion, Obsidian): Text-based, no spatial canvas. - vs. Online whiteboards (Miro, Mural): No rich note-taking / knowledge depth. - Moat levers stated: Hard-to-build visual product; network effects from free users, customers, contributors; switching costs within repos (knowledge graphs accumulate over time). - Growth flywheel: Power users are gatekeepers - 44% work across organizations, 75% control work tool budget, 30% manage 10+ people. ## Team & funding ask / use of funds - Founder contact: Ece Kural (ece@scrintal.com, +46 767 792 110) - Swedish number, strategist background consistent with target persona. - Ask: "€X million" (amount redacted). - Partner profile sought: Global mindset and connections; product-led growth expertise; strong SaaS focus. - Use of funds: - Launch and expand product across teams; build enterprise foundation. - Expand live collaboration features. - Expand into "x ecosystem" (redacted - likely mobile or OS integration). - Cross-platform operability. - Build integrations for enterprise readiness. - Public API. - Headcount: "X total by end of 2023" (number redacted). ## Recommended financial model - **Archetype + why:** SaaS ARR model with PLG funnel mechanics. Revenue is per-seat annual subscription; growth is driven by viral/referral organic acquisition, not paid channels. The model needs a free-to-paid conversion funnel, cohort retention waterfall, and a team/enterprise upsell layer as the second act. - **Forecast horizon & granularity:** Monthly for Year 1–2; quarterly for Years 3–5. Five-year total horizon appropriate given early stage. - **Key drivers & assumptions:** - Waitlist size; model sensitivity to W - Waitlist → early access conversion rate - Monthly new signups growth rate - Referral coefficient (K-factor) - CAC - organic channel - ARPU - individual plan - ARPU - team/enterprise plan - Free-to-paid conversion rate - Monthly churn - power users - Monthly churn - all users - Gross margin - Headcount ramp - ARR target year-end - **Scenarios (Base / Bull / Bear - which variables flex):** - Bear: Low waitlist conversion (3%), high churn (10%/month), slow enterprise upsell; ARR misses internal target. - Base: Mid conversion (7%), power-user churn 3%/month, enterprise tier launches 12 months post-public launch. - Bull: High referral K-factor drives accelerated organic growth, enterprise adoption early, ARPU expansion toward $150/seat. - **Required sheets / outputs:** 1. Assumptions - all drivers with / tags 2. PLG Funnel - signups → activated → converted → retained (monthly cohort waterfall) 3. Revenue - individual ARR + team/enterprise ARR, blended ARPU, MRR/ARR bridge 4. P&L - revenue, COGS (hosting/infra), gross profit, S&M (near-zero CAC assumption), R&D (headcount-driven), G&A; EBITDA 5. Headcount - by function, driving payroll opex 6. Cash Flow & Runway - burn rate, months of runway from raise amount X 7. Retention / Cohort - monthly cohort retention chart, LTV by cohort 8. Dashboard - ARR, MRR, active users, paid seats, LTV/CAC, runway ## Frequently asked questions ### Is the Scrintal financial model free? Yes. The Scrintal 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.