Due diligence for AI startups: what actually matters
Founders and investors due diligence: how to dig beneath the “AI-powered” facade and verify that their systems won’t break in secret.
Ideas
110 posts
The enshittification of the internet: are you building value or friction?
AI agents shouldn’t become CAPTCHA solvers: discover how monetisation-driven UX patterns have turned the web into a hostile environment and what honest design can do to reverse the trend.
5 red flags for VCs when planning to invest in Seed or Series A companies
Discover the five most common technical-due-diligence red flags—from undersized or misaligned teams to “just-about-working” codebases—that VCs must spot before writing a cheque.
Why front-end rewrites are more common than refactors
Why do engineering teams keep rewriting frontends? Let’s explore the leadership bias and tech churn that makes refactors feel harder—yet ultimately more sustainable.
Three cursors walk into a codebase
A cautionary tale about interns, AI tools, and outsourcing delivering 80% of a project—leaving internal teams with the clean-up. Learn why shortcuts often come with hidden costs.
Another early-stage SaaS founders dilemma: buy a pre-built app or build one from scratch
Should SaaS founders buy or build their MVP? We compare pre-built apps vs custom development across cost, time, scalability, and code quality — so you can choose the right foundation for your product.
🌶️ Why Native PHP shouldn’t exist
Building desktop apps with NativePHP misuses Laravel’s core strengths, creating potential security risks and practical limitations.
Why involving engineers in product meetings saves time and money
Involving engineers in product specification meetings reduces costly iterations and accelerates feature launches for SaaS startups.
Should we really ship fast and break things?
Should startups test everything before shipping? We break down how to balance testing with product velocity—and why 100% coverage is often the wrong goal.