15 posts tagged "M&A"
API, SDK, and OSS carry hidden legal and IP risks in M&A and investment due diligence. Clarifies license types, contractual obligations, and the key items to verify before a deal.
Five recurring failure patterns in corporate R&D, with frameworks for budget structure, metrics, business integration, and governance. A practical guide for investors and M&A teams.
A structural comparison of R&D between startups and corporations — covering investment horizons, talent models, and decision-making — with practical M&A integration strategies.
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.
Database selection determines scalability ceilings, cost structure, and hiring market depth. Learn SQL vs NoSQL differences and the due diligence questions that matter in investment and M&A.
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.
A practical framework for assessing engineering org health in M&A and investment due diligence: four evaluation axes, phase-specific benchmarks, and how to distinguish red flags from yellow flags.
How to evaluate a patent portfolio before engaging IP counsel — covering filing vs. grant distinctions, defensive/offensive/blocking patent types, and a four-step reading workflow for non-engineers.
10 technical risk patterns that surface after startup investment or acquisition, with early detection signals, recovery difficulty ratings, and a technical DD checklist 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 practical guide to preliminary IP checks a technology reviewer can run before formal IP due diligence: OSS licenses, code provenance, AI model terms, and what to escalate to lawyers.
A framework for assessing engineering capability without code review: development process, PRs, deployment frequency, docs, incident history, and five interview questions.
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.
A non-engineer's framework for evaluating a target's engineering organization, from pre-meeting quantitative checks to four interview lenses and PMI design.
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