You can't delegate accountability: what the NIS2 directive means for boards
Here’s an uncomfortable truth: board members can’t delegate accountability. Not for budgets. Not for legal compliance. And no longer for cybersecurity.
Audits and due diligence
22 posts
These questions will be answered after technical due diligence
Investing without technical due diligence is like buying a used car without opening the bonnet. This article demystifies the audit process, shares what red flags we look for, and explains why investors should care deeply about code, processes and product.
Technical due diligence is broken: going beyond the checklist
Most technical due diligence audits focus on code quality and tooling, but the real risk lies in invisible processes, fragile teams, and product chaos, which is why madewithlove audits the full stack of your organisation, from code to culture.
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.
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.
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.
SaaS due diligence report: 12 learnings for founders that want to secure their next funding round
Auditing startups goes beyond the technical at madewithlove. Here are key lessons to help startups secure funding and scale effectively. From creating better communication and documentation to balancing technical debt and leadership, discover the insights that can shape your startup's future.
Do we even need a moat?
A technical moat is often seen as a product's defensive edge, but does every product really need one? For AI products, the choice between building proprietary tech or leveraging existing solutions like OpenAI is complex. True value lies in solving customer problems—not just in owning the technology.
Scaling the A team
In recent audits, I've noticed a less obvious pattern: overly talented start-up teams. While smart, experienced teams thrive early on, they struggle to scale. Scaling requires structure, documentation, and room to grow talent in-house.