Tech stack feasibility analyzer that forces users to define their target audience and core features, then outputs a prioritized build-first roadmap and a cost-to-build estimate using a curated database of low-code and SaaS tools. Build using a structured prompt interface on a single-page web app with Supabase for data storage, targeting first-time founders to prevent scope creep.

The problem is real but the solution is currently a commodity; while first-time founders struggle with scope creep, the market is saturated with free 'tech stack' guides and AI-driven development assistants that already provide this advice. The lack of a proprietary data moat or a unique distribution channel makes this a positional play that incumbents like AWS or specialized agencies could easily replicate or bundle into their existing onboarding flows.

Market size

The primary segment is first-time, non-technical founders; with roughly 300,000 new startups formed annually in the US, a 5% capture at a $49 one-time fee yields ~$735k revenue. This is a lifestyle business, as the broader 'tech stack' market is dominated by free content and enterprise-grade audit tools like Tropic that serve a different, higher-budget tier.

Competition

The space is crowded with free content and specialized tools. Wappalyzer owns the detection space, Zarpra offers a basic calculator, and Amazon Q provides integrated AI-driven stack advice. Users choose these because they are either free or embedded directly into the development workflow, whereas your tool requires a separate, manual input process.

Build difficulty

The build is straightforward, requiring a structured prompt interface and a database of tool pricing. The primary challenge is maintaining the accuracy of the 'cost-to-build' data, which requires constant updates to keep pace with rapidly changing SaaS pricing models and free-tier limits.

Build notes

Your real technical decision is whether to build a custom recommendation engine or leverage an existing LLM API (like OpenAI's) to parse user inputs; use the latter to keep your overhead low. Your moat is non-existent, so do not attempt to build a proprietary database of tools; instead, focus on the 'operational' moat of curating a high-trust, opinionated list that specifically helps founders avoid the 'build trap' of over-engineering. Avoid the trap of adding a 'code generation' feature; incumbents like Cursor already do this, and trying to compete there will destroy your focus on feasibility and scope management.