On election results day in Tamil Nadu, a dashboard I built served 24K visitors across 24 countries. 430K requests. 8.7 GB bandwidth. $0 infrastructure cost.

    The stack: a Python scraper on my laptop pulling from 234 pages (no API exists), Cloudflare Workers KV on the free tier, edge caching, and vanilla JS on the frontend. 997 datastore writes for the entire day, the free tier limit is 1,000.

    I used Claude as my coding partner for the entire build. It wrote the scraper, the frontend, the API. I made the architecture and product decisions. During live counting, users asked for features and I shipped them in minutes. 60+ commits on the results day alone.

    Wrote a detailed blog about the architecture, the AI workflow, and what I learned (Link in Comments). Happy to answer any questions.

    by Naive-Performance-18

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