Many social media users wonder who views their profiles, but platforms like Facebook intentionally block this feature to protect privacy. This gap has led to scams (like fake "Profile Visitor" apps) and unmet curiosity. One way to address this could be a tool that ethically estimates profile visitors by analyzing available engagement data—without breaking platform rules.

How It Could Work

Instead of tracking direct visits (which isn't possible), the tool could use indirect signals:

• Public engagement metrics: Highlight frequent interactors (likes, comments) to suggest likely profile visitors.
• Platform suggestions: Analyze "People You May Know" or mutual connections for patterns.
• Trends over time: Show stats like, "This account engages with 80% of your posts."

It could work across Facebook, Instagram, and LinkedIn, with clear disclaimers that insights are estimates—not proof.

Why It Stands Out

Unlike existing options, this approach avoids common pitfalls:

• Vs. scam apps: Uses real, permitted data instead of fake claims or malware.
• Vs. LinkedIn Premium: Covers multiple platforms, not just one.
• Vs. analytics tools: Focuses on personal curiosity, not just business metrics.

Getting Started

A simple version could begin as a browser extension analyzing public engagement data on Facebook/Instagram. Later phases might add LinkedIn support or partnerships for deeper (but compliant) data access. To test demand, one could create a waitlist landing page to gauge interest.

Key challenges—like platform scraping limits or passive lurkers—could be mitigated with rate-limited data collection and transparent labeling about accuracy. Monetization might include freemium features (e.g., cross-platform insights) or white-label analytics for businesses.