Interactive Tools
Calculators & Readiness Scores
Access programmatic tools to calculate your AI API costs, validate your startup architecture, and generate your investor readiness score.
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Valuation Calculator
This document is an audit-ready, authoritative Markdown template for building a Valuation Calculator (spreadsheet, web app, or API) that prescribes formulas, standardized inputs and outputs, conceptual guidance, UX/engineering notes, and founder-facing best practices while explicitly stating assumptions and limitations. It covers core valuation methods—discounted cash flow (DCF) with explicit forecast and terminal value, comparable companies (trading comps), and precedent transactions—along with implementation checklists, a worked DCF example and sensitivity grid, limitations/disclaimers, and a change log/data sources.
Embedding Calculator
This professional, compact, extensible single-sheet template helps technical founders and ML/infra engineers estimate storage, compute, and retrieval characteristics for embedding-based systems. Given inputs like number of vectors, embedding dimension, bytes per component, QPS and batch size, it provides core math, implementation notes, expected raw and compressed storage, compute cost per query (brute‑force and indexed), latency/bandwidth estimates, trade‑off guidance across dimensionality, index type, and quantization, and operational recommendations and defaults.
Token Cost Calculator
A production-ready Markdown template for a Token Cost Calculator that helps founders, product managers and engineers model costs for token-based AI products (LLMs, embeddings, RAG), including the underlying math, conceptual explanations, worked examples, implementation notes, and best practices. It estimates monetary API spend by computing prompt/input and completion/output token costs, per-request and monthly aggregates, RAG/embedding and multi-model scenarios, and provides sensitivity analyses, break-even pricing and engineering/product techniques to forecast spend and reduce expenses.
CAC Calculator
This is a production-ready CAC calculator and reference that defines CAC as total S&M spend allocated to acquiring customers divided by customers acquired in the same period, and provides formulas, worked examples, a spreadsheet-ready implementation, and advanced channel/cohort variations for measuring blended, marginal and cohort CAC, CAC payback, and related unit-economics metrics. It also gives an authoritative founder checklist and best practices — align measurement windows, instrument acquisition events, allocate costs consistently (exclude expansion/retention), analyze by channel/cohort, and report CAC alongside LTV and payback with sanity checks to inform growth finance and investor communications.
RAG Cost Calculator
This professional, reusable template provides a structured calculator to estimate monthly and per-user costs for Retrieval-Augmented Generation (RAG) systems by modeling embedding generation, vector storage, ANN retrieval and re-ranking, LLM prompt/completion token usage, and optional indexing/batch compute. It defines the input variables, underlying formulas, worked examples, and a rigorous set of best practices so founders can plug in product-specific numbers or live pricing to compute total and per-request costs accurately.
Inference Calculator
This reusable Markdown template defines an auditable, repeatable Inference Calculator for transformer-based (and similar) neural models to estimate latency, throughput, cost, and resource requirements and guide deployment choices. It includes document metadata, required model and inference inputs (e.g., L, D, H, MLP multiplier, batch size), the underlying math and derivations for compute/memory/latency estimations, and an authoritative best-practices checklist for founders and engineering leaders.
LTV Calculator
This professional template provides a repeatable, end-to-end LTV calculator — specifying clear period/ARPU/margin/churn inputs, the underlying math and DCF-based valuation, a worked example, implementation notes for spreadsheet/SQL/Python, sensitivity analysis, and founder-focused best practices. It recommends computing LTV on a cohort basis with margin adjustment and discounting, explicitly modeling churn and expansion, and using the heuristic LTV:CAC ≥ 3 with CAC payback < 12 months (monthly periods typical for SaaS) to guide acquisition and retention investments.
GPU Cost Calculator
This production-ready Markdown template provides a repeatable, auditable framework — with variables, formulas, conceptual explanations, sensitivity scenarios, and a founder-focused best-practices checklist — for documenting, building, and verifying GPU cost calculators for training, inference, and experimentation. It outputs cost-per-GPU-hour, cost-per-training-run, cost-per-inference-token/request, buy-vs-rent break-even analysis, and sensitivity analyses (utilization, spot risk), aimed at founders, CTOs, finance teams, and ML infra engineers.
Roadmap Generator
The Roadmap Generator is a production-grade system that converts candidate initiatives into prioritized, scheduled, and risk‑adjusted delivery plans by combining deterministic priority scoring, probabilistic duration estimation, constrained optimization, and Monte Carlo simulation to yield committed initiatives, timelines with confidence intervals, and critical-path visibility. This document is the canonical spec for building or evaluating such systems, providing the conceptual model (initiative attributes, dependencies, risk), underlying mathematics and formulas, implementation-ready templates, algorithms/pseudocode, visual/UX guidance, and founder best practices.
Burn Rate Calculator
This is a production-ready Markdown template and technical specification that defines inputs, outputs, underlying mathematics, implementation notes (spreadsheet + JavaScript), examples, and prescriptive best practices for building a Burn Rate Calculator tool. Given current cash, period granularity, recurring revenue and outflows, and planned changes, the calculator deterministically computes runway (time to zero) and quantifies sensitivity to decisions like hiring, pricing, and fundraising for use in web tools, spreadsheets, investor decks, or internal dashboards.
Marketing Budget Calculator
This production-ready Marketing Budget Calculator template converts revenue or growth targets into recommended marketing spend and channel allocations by applying funnel metrics (traffic → leads → customers), unit economics (ARPU/AOV, gross margin, churn), and channel economics (CPC, CPL, CAC, ROAS) with the underlying math. It outputs actionable figures—target new customers, required leads/traffic, suggested total and channel budgets, CAC targets, LTV:CAC and payback period—supports conservative/baseline/aggressive scenarios, includes sample calculation flows, and serves as a spec for spreadsheets, web apps, or internal planning plus rigorous best practices for founders and marketing leaders.
Feature Prioritization Matrix
The Feature Prioritization Matrix is a compact, repeatable framework for founders and product leaders to rank and decide which features to build next, supporting multiple scoring systems (Weighted Scoring, RICE, WSJF, Kano) and a formal decision process tied to measurable outcomes. To use it, pick an appropriate scoring model, consistently score and normalize candidates, bucket features into prioritized cohorts, and review with stakeholders while tracking confidence, dependencies, and outcomes (the provided template lists fields like Reach, Impact, Confidence, Effort, and various scores).
Hiring Cost Calculator
A repeatable Hiring Cost Calculator template for founders and hiring leaders estimates the full economic cost of hiring a single employee (and cohorts) to enable data-driven headcount decisions and measure hiring ROI, useful for budgeting, contractor vs. full-time comparisons, turnover cost estimation, and growth forecasting. It aggregates direct recruiting and payroll costs alongside hidden/indirect expenses (manager/interviewer time, lost productivity), models time-to-productivity and onboarding, and compares expected contribution against total cost to compute ROI.
AI Stack Builder
AI Stack Builder — Template & Technical Playbook is a concise, production-ready Markdown template and engineering-first playbook for founders and technical leaders to build, evaluate, and operate sustainable AI product stacks. It provides a reproducible stack blueprint with core math and formulas, a conceptual system flow, architecture and component recommendations, operational cost/latency estimates, evaluation metrics, security/compliance and MLOps checklists, plus practical templates and best-practice guidance.
Equity Split Calculator
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Runway Calculator
This document is a comprehensive, production-ready Runway Calculator template for founders, investors, and finance/ops teams that codifies the core math, definitions, closed-form formulas, and practical guidance to compute runway (months/days) under steady or growing revenue and expense scenarios. It includes implementation patterns (spreadsheet formulas, JS/Python pseudocode), numerical solvers and Monte Carlo/scenario-sensitivity approaches, a UI/data model, recommended visualizations, and authoritative best practices and validation notes for building and using a reliable runway tool.