10 posts tagged "Investment decisions"
SaaS, PaaS, or IaaS — the choice determines where your company creates value versus commodity. A practical framework for VC and M&A professionals to evaluate a startup's technology stack decisions.
Monolith, modular monolith, microservices, or serverless — the choice determines team velocity, operational cost, and organizational scale. A practical framework for M&A and VC due diligence.
A five-axis framework for evaluating AI startup moats: data, domain integration, UX, domain knowledge, and distribution. Separates durable advantages from temporary differentiation.
AWS, GCP, or Azure — the choice is a business decision that sets cost structure, vendor lock-in exposure, and hiring market. A practical guide for M&A and VC due diligence.
AI-driven development creates debt patterns traditional DD misses: hollowed design intent, absent tests, prompt-dependent attribution. Three key questions for investors.
Technical DD for AI-powered startups requires four dimensions beyond the traditional framework: LLM usage classification, prompt IP, eval systems and cost structure, and safety guardrail design.
A 3-class taxonomy of technical debt (intentional, accidental, environment-driven), the startup-specific accumulation mechanics, and how to evaluate it in tech DD.
A tech-literacy guide for investors and operators: map Python, TypeScript, Go, Rust, Java, Ruby, and PHP across five business-decision lenses.
A hub article defining what technical DD is, why it matters, and how its seven evaluation axes interlock. Detailed methodology lives in dedicated articles.
Technical debt is not just ugly code. Mapped against financial debt, this reframes its essence, four-quadrant taxonomy, and business impact for investors.
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