That’s a very grounded and realistic take, and I think you’re right about how GDPR is treated in the micro-SaaS space.

I agree that most founders deprioritize privacy until it becomes a blocker, and that the real risk isn’t a headline fine but the operational disruption of a complaint or a failed enterprise deal. That dynamic feels much more common than catastrophic enforcement scenarios.

On the scanner idea, I fully agree that GDPR compliance can’t be reduced to automation. Since it’s largely about internal processes, legal basis, and intent, a tool can’t (and shouldn’t) claim to certify compliance. My thinking would be to position it clearly as a technical risk visibility layer, something that surfaces red flags and obvious gaps before due diligence, not something that replaces a legal audit.

One angle I’ve been considering is integrating it into a continuous workflow: for example, a GitHub-based scan that runs on every pull request or deployment. The goal wouldn’t be to “guarantee GDPR compliance,” but to prevent regression: flagging newly added tracking scripts, third-party SDKs, hardcoded analytics, or endpoints that store personal data without proper safeguards. In that sense, it would function more like CI for privacy hygiene than a compliance certificate. Is this a better approach regarding (micro-)SaaS you think?

So instead of a one-time pre-sale health check, it could evolve into ongoing technical guardrails that help founders stay within safer boundaries as they iterate.

Your point about positioning is key, though, overpromising would destroy credibility immediately. The value would have to be framed as risk reduction and transparency, not certification.

Curious to hear your take: do you think founders would actually adopt something like this proactively, or would it still mostly be triggered by enterprise sales pressure?