C++ teams frequently suffer slow builds and are uncertain which code changes or language features (templates, reflection, heavy constexpr) are causing compile-time regressions. Developers spend repeated cycles chasing build-time regressions because existing build tools don't attribute time spent to particular features or constructs.
Why now: As projects scale and interest in meta-features (reflection, modules) increases, teams need data-driven ways to manage compile-time; modern build telemetry and traces make fine-grained attribution possible.
A profiler that integrates with existing build systems and compilers to attribute compile time to files, templates, instantiations, and language features. It surfaces per-change or per-feature cost estimates, simulates the effect of enabling heavy features (like reflection), and recommends refactorings (precompiled headers, module boundaries, explicit instantiation) with estimated build-time savings. Includes CI integration to alert on compile-time regressions with actionable hotspots.
Built for: C++ engineering teams with long incremental build times (game dev, large-scale services, embedded vendors) trying to optimize developer productivity.
Business model: freemium
Compile-Time Impact Profiler for C++ targets a large market (over $1B TAM). Decent solutions exist, but there's room for differentiation and improvement.
Competitive
Large
MVP (1 Month)
Medium
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Includes: 8 competitors found, 9 risks identified, full business plan, market research