FAQ

How Fast Can You Build and Ship a Software Product Using AI?

Building with AI

Key Takeaways
  • A revenue-ready software product can ship in 5 active days using AI-assisted development with a mature foundation -- validated by a real build that went from nothing to a functional business reporting platform in 120 hours, with zero external support and zero external cost.
  • Y Combinator has historically benchmarked time-to-MVP at 2--3 months for funded startups with technical co-founders, and many YC partners advise shipping an initial version within weeks rather than months.
  • Traditional solo-founder timelines stretch further -- 4--6 months is common when hiring contractors or learning to code.

A revenue-ready software product can ship in 5 active days using AI-assisted development with a mature foundation -- validated by a real build that went from nothing to a functional business reporting platform in 120 hours, with zero external support and zero external cost.

Y Combinator has historically benchmarked time-to-MVP at 2--3 months for funded startups with technical co-founders, and many YC partners advise shipping an initial version within weeks rather than months. Traditional solo-founder timelines stretch further -- 4--6 months is common when hiring contractors or learning to code. The constraint is not ambition; it is that every new project starts from zero: environment setup, framework selection, boilerplate, authentication, database architecture, deployment pipelines. This cold-start tax dominates the early build.

CEM eliminates the cold-start tax through compounding foundation. PRJ-04 -- a business reporting platform in a new vertical -- shipped in 5 active days because 80%+ of the infrastructure was already proven and stored from 8 prior production systems. Authentication, database management, admin interfaces, API structure, and deployment pipelines all deployed from stored patterns on day one. Development started at the product logic layer, not the infrastructure layer.

The progression tells the full story. The operator's first product (PRJ-01) took 24 days with 69% external dependency and $7,995 in contractor costs. By the fourth project, external cost had dropped to $1,680. By the seventh, $330. By the ninth product, it was 5 days, 0% external dependency, and $0 in cost. Same operator, same methodology, 3 months apart. The difference was foundation depth.

This speed is not a shortcut or a prototype. PRJ-04 shipped at 80% -- functional, processing real business data, revenue-ready at completion. The remaining 20% gets added iteratively based on actual customer feedback. This is structurally different from the Lean Startup approach of validating before building. When build costs collapse to effectively the operator's time plus approximately $105 per month in AI tooling, the product itself becomes the experiment. Shipping tests technical feasibility, user value, and market viability simultaneously.

The data across the full portfolio confirms the pattern: early projects took 23--43 days, mid-stage projects 11--28 days, and late-stage projects 4--9 days. Build time compresses as the system compounds. Each project leaves behind reusable infrastructure that makes the next one faster. The marginal cost of entering a new vertical approaches the operator's time alone.


Related: Spoke 13 -- Ship Production in 5 Days

References

  1. Y Combinator (2024). MVP timeline guidance and batch data benchmarks (2-3 months typical).
  2. Ries, E. (2011). The Lean Startup. Crown Business. Lean methodology for iterative product development.
  3. Keating, M.G. (2026). "Case Study: Five Days to Production." Stealth Labz. Read case study