Zenera – Neighborhood-level safety data for solo travelers

Hacker News

I'm a solo female traveler who's been exploring India for 5+ years. Every time I planned a trip, the safety advice was always the same: "Be careful." "Trust your gut." "Delhi is dangerous for women." Last year I was planning a solo trip and got so frustrated with vague warnings that I almost canceled. Then I realized - these articles aren't written by people who've actually solo traveled there recently. They're just recycling generic advice. So I started going through actual accounts from solo travelers - Reddit posts, YouTube comments, Google Maps reviews. The detailed "I stayed in Hauz Khas alone and here's what happened" experiences. I spent 4 months analyzing 1000+ reports for Delhi and Bangalore. What I found: safety is extremely neighborhood and time-dependent. Hauz Khas Village scores 4.5/5 during daytime (cafes, solo women everywhere), then drops to 2.5/5 after 9 PM (club-heavy, different vibe entirely). Same exact spot. I built Zenera ( https://app.zenera.fun/ ) to organize this data: time-based safety scores (1-5 scale), bystander intervention culture (will locals actually help if you're uncomfortable), solo-specific incident patterns, community-verified spots, peak solo hours. Current coverage: Delhi and Bangalore neighborhoods. Planning to expand to more cities based on data availability. How it works: No signup, just browse. Search a neighborhood, see safety scores at different times, read what other solo travelers experienced, check bystander culture ratings. What's different: Most travel safety apps give generic city-level advice or focus on emergency features. Zenera provides neighborhood-level intel with time-based context - the kind of specificity I desperately wanted when planning trips but couldn't find anywhere. Known issues: UI is rough, mobile experience needs work, data coverage is limited to two cities, some neighborhoods have sparse data. This is very much beta. What I'm looking for: Feedback on usefulness vs noise. Am I solving a real problem or just feeding my own anxiety with spreadsheets? Is time-based data actually helpful or too granular? What's missing? Also open to technical feedback - current architecture is simple but wondering about scaling as I add more cities and real-time data. Happy to answer questions about the data collection methodology, scoring formula, or why I chose this weird tech stack.

Visit product View on Hacker NewsMar 24, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, context · Missing: mac, agents, macos

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nativeThis product was originally launched on this platform.

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