{"title":"All Spreadsheets","description":"","products":[{"product_id":"saas-operating-financial-model","title":"SaaS Operating Financial Model","description":"\u003cp\u003e\u003cstrong\u003eTLDR\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis is intended for founders and CEOs of SaaS companies with up to $500,000 in ARR. It provides:\u003cbr\u003e\u003c\/p\u003e\n\u003cul class=\"\"\u003e\n\u003cli data-selectable-paragraph=\"\" class=\"km kn ie jd b je jf ji jj jm ko jq kp ju kq jy kr ks kt ku bi\" id=\"f94d\"\u003eVisibility into the key drivers of your revenue\u003c\/li\u003e\n\u003cli data-selectable-paragraph=\"\" class=\"km kn ie jd b je kv ji kw jm kx jq ky ju kz jy kr ks kt ku bi\" id=\"4ec3\"\u003eVisibility into different scenarios of how the business might progress going forward\u003c\/li\u003e\n\u003cli data-selectable-paragraph=\"\" class=\"km kn ie jd b je kv ji kw jm kx jq ky ju kz jy kr ks kt ku bi\" id=\"355f\"\u003eA solid financial model to support your decision-making, without spending days constructing the perfect model and hours upon hours updating it\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-selectable-paragraph=\"\" class=\"pw-post-body-paragraph jb jc ie jd b je jf jg jh ji jj jk jl jm jn jo jp jq jr js jt ju jv jw jx jy hx bi\" id=\"7016\"\u003e\u003cb\u003eIncludes:\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eScenarios (best case, base case and worst case)\u003c\/li\u003e\n\u003cli\u003eHiring plan\u003c\/li\u003e\n\u003cli\u003eRevenue model\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e3 statement financial model, including cash flow forecasting\u003c\/li\u003e\n\u003cli\u003eSaaS metrics dashboard\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eSource\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis SaaS Operating and Financial Model was created by Jaakko Piipponen in collaboration with Baremetrics.  \u003c\/p\u003e","brand":"Jaakko Piipponen \u0026 Baremetrics","offers":[{"title":"Default Title","offer_id":44463871590691,"sku":"","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0697\/9685\/6099\/products\/Baremetricsmodel_7820220c-320e-4d9e-a720-8e15aa909e56.png?v=1678810281"},{"product_id":"figma-self-serve-arr-forecast-template-equals-app","title":"Figma Self Serve ARR Forecast Template","description":"\u003cp\u003eThe Figma Self Serve ARR Forecast Template is a classic bottom-up SaaS business model. In its early days, the company was predominantly selling to customers through a Self Serve motion. This meant the team needed to nail the Self Serve forecast to understand performance at the overall level.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIncludes:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003eThe model covers the full customer lifecycle and is structured into five parts: Website Traffic and Signups which make up the Top of Funnel (“ToF”), followed by breakouts for New, Expansion and Churn Licenses which equate to Total Licenses and ARR.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eSource: \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe Figma Self Serve ARR Forecast Template was created by Sean Whitney in collaboration with Equals.app. Link to original source available on download. \u003c\/p\u003e","brand":"Sean Whitney and Equals","offers":[{"title":"Default Title","offer_id":44485536710947,"sku":"","price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0697\/9685\/6099\/products\/figma-template-white--2.png?v=1678811494"},{"product_id":"saas-operating-model-excel","title":"SaaS Operating Model","description":"\u003cp\u003eThis is a simple operating model spreadsheet templates for entrepreneurs to quickly build effective models. 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This template reconstructs the SPEAR Invest \/ SemiAnalysis Tokenomics estimates of Anthropic's quarterly P\u0026amp;L from 1Q24 through 4Q26E — not as a static picture of the chart, but as a working model where every output is a formula you can flex.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWhat's inside:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eQuarterly income statement build\u003c\/strong\u003e — four revenue lines (Consumer, Business, Enterprise subscriptions + API), inference COGS, training costs, and opex, with gross profit, GAAP operating income, and margins as live formulas\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePer-token economics engine\u003c\/strong\u003e — implied token volume, inference cost per million tokens, and EBIT per million tokens, derived exactly as the source model derives them\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eEBTIT analysis\u003c\/strong\u003e — SemiAnalysis's \"Earnings Before Training, Interest \u0026amp; Taxes\" metric, showing training spend falling from 400%+ of revenue to ~36% by 4Q26E\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eScenario-ready inputs\u003c\/strong\u003e — change any blue cell (revenue per M tokens, inference cost, training spend) and the full P\u0026amp;L, margins, and token economics reflow instantly\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMethod \u0026amp; Notes tab\u003c\/strong\u003e — the three investment theses from the source analysis, key caveats, and a full color legend\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSources \u0026amp; Corroboration tab\u003c\/strong\u003e — every major claim mapped against the public record (WSJ, CNBC, TechCrunch, SemiAnalysis) with dates and links\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cem\u003eAll figures are third-party estimates (SemiAnalysis Tokenomics Model), not company-disclosed financials. 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