Technical Discovery Tools

Free AI-powered startup discovery tools for founders: cost calculator, MVP planner, business model canvas, competitive analysis, market sizing, feature prioritization, tech strategy, and product requirements. Built for enterprise startups and founding teams — no signup required.

Free, no signup required. Results in 2-5 minutes.

Or use individual tools

Each tool works standalone. Start anywhere — context carries forward automatically when you move to the next step.

1
Start here

Business Model Canvas

Map your business model with a Lean Canvas

2

Competitive Analysis

Analyze competitors and find your positioning

3

Market Sizing

Calculate TAM, SAM, and SOM for your market

4

User Personas

Generate software-specific user persona cards

5

Feature Prioritization

Classify features and phase by business impact

6

Tech Strategy

Build-vs-buy decisions and a consolidated stack

7

Project Requirements

User stories, acceptance criteria, and delivery plan

8

Build Cost & Plan

Realistic cost estimates and a 6-week action plan

How It Works

1

Pick a starting point

Choose any of the eight tools — or start with Business Model Canvas and work through them in order. No signup required.

2

Describe your product idea

Each tool asks focused questions about your project. Answer in plain language — the AI turns your input into structured output.

3

Get structured results

You receive a formatted canvas, matrix, estimate, or document — not generic advice. Copy it, share it, or feed it into the next tool.

4

Carry context forward

Your answers persist across tools. Start with the canvas, and by the time you reach cost estimation, the AI already knows your market, stack, and feature set.

What Is Technical Discovery?

Technical discovery is the work you do before writing code. It is a structured process for turning a product idea into a validated plan — covering business model, market, competition, features, tech decisions, and cost. The goal is to reduce risk: build the right thing, with the right stack, at a budget that makes sense.

A typical technical discovery phase takes a founding team through eight steps. You start by mapping the business model, then size your market and analyze competitors. From there you define user personas, prioritize features, make build-vs-buy decisions on your tech stack, write product requirements, and estimate cost. Each step feeds the next — so by the end, you have a coherent plan instead of a pile of disconnected assumptions.

The technical discovery process matters most when resources are limited. A funded enterprise startup might survive building the wrong thing for a quarter. A bootstrapped founder or a small team cannot. These tools run the same structured workshop that a consultant would facilitate — but you can do it yourself, at your own pace, for free.

Who Is This For?

These tools are built for startup founders, solo developers, and small teams who are validating an idea before committing to a build — from scrappy consumer MVPs to enterprise startup products with longer sales cycles. Whether you are preparing for a technical discovery workshop with your co-founder, putting together a pitch for investors, or deciding whether your MVP is worth building at all — this is the starting point.

Everything is free, requires no signup, and runs on AI. You get structured output — not generic advice — tailored to the specifics of your product idea. Use one tool or work through all eight in sequence. Your context carries forward between steps.

Not sure where to start?

Before running discovery, explore the principles behind it. The Varstatt Principles explain how we approach discovery, scope, and technical decisions — and you can ask an AI questions grounded in those principles before committing to a path.

Frequently Asked Questions

A technical discovery phase is a structured process where you validate your product idea before writing code. It covers business model, market sizing, competitive positioning, feature prioritization, tech strategy, and cost estimation — so you build the right thing with the right stack at the right budget.
A thorough technical discovery process typically takes 1-4 weeks depending on complexity. With these AI-powered tools, you can complete a solid first pass in a single afternoon — then refine over a few days as you gather feedback from potential users and stakeholders.
A complete technical discovery covers eight areas: business model canvas, competitive analysis, market sizing, user personas, feature prioritization, tech strategy (build vs. buy decisions), product requirements, and build cost estimation. Each tool here maps to one of those areas.
Especially for an MVP. Discovery helps you decide what to include and what to cut. Without it, most founders either overbuild (blowing budget on features nobody wants) or underbuild (shipping something too thin to validate). The feature prioritization and cost estimation tools are designed specifically for this.
Hiring a consultant for a technical discovery workshop typically costs $5,000-$25,000. These tools are free — no signup, no catch. They won't replace a seasoned advisor for complex projects, but they give you a strong starting point and help you ask better questions.
Yes. The tools work for enterprise startups the same way they work for consumer products — business model canvas, competitive analysis, and cost estimation apply regardless of your target market. Enterprise projects often have longer sales cycles and more complex stakeholder maps, which makes structured discovery even more important before committing to a build.

Built & Maintained by Varstatt

Varstatt is a one-person product studio run by Jurij Tokarski, product engineer since 2011. These tools are free and open — no signup, no catch.