Bot traffic detector for indie sites
Help small site owners spot bots disguised as real visitors using server logs
- Problem
- Small site owners are often misled by fake traffic: on Reddit, one found that 357 of 364 Google-referred visits came from a single IP range and never loaded CSS/images; another saw one bot generate 97% of 'Google' traffic. Existing analytics tools are opaque or pricey for this.
- Solution
- A lightweight analysis tool that ingests logs or a simple JS pixel and automatically detects abnormal traffic patterns (no asset requests, stale UA, single IP range, no referrer). It generates a 'bot traffic report' with filtering suggestions and real visitor estimates.
- Users
- Indie SaaS founders, small e-commerce site owners, content site operators, marketers who care about conversion data accuracy.
- MVP
- Upload server logs (Apache/Nginx) for parsing; rule engine to flag suspicious traffic; visual report with real traffic estimates; CSV export; embeddable JS pixel for basic verification.
- Revenue
- Free single log analysis; $12/month subscription for continuous monitoring and historical comparisons; or pay-per-analysis.
- Why now
- AI crawlers and bot traffic are surging, making it harder for small sites to distinguish real users; indie developers can build a rule engine quickly without big data infrastructure.