{
  "id": 101689,
  "title": "The 100 city time zone page provides quick reference for inter-regional scheduling, with DST calculated automatically.",
  "url": "https://urgent.news/2026/08/03/100-dst",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-08-03T20:33:10.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/caresodev/100-cheng-shi-qu-ye-gei-kua-qu-diao-du-dang-su-cha-dst-zi-dong-suan-33p7"
  },
  "original_language": "zh",
  "account": "100 Time Zone Pages for Cross-Area Scheduling as Quick Reference, DST Automatic Calculation\n\nThe author is a developer in the data pipeline / cross-time zone scheduling direction. This article is not an advertisement, but a record of pitfalls + tools made along the way.\n\nWhen doing data pipelines / cross-time zone scheduling, timestamp conversion is often the most underestimated minefield. 16 timestamp tools (Unix conversion / time zone / ISO8601 / Cron / Duration ...) have covered daily needs; but each language / framework has its own pitfalls, so I added 30 language / framework timestamp pages (python / javascript / java / sql / ...), each containing 6 real pitfalls.\n\nSome of the pitfalls I've encountered (a few examples):\n\nSeconds vs Milliseconds: frontend Date.now() is in milliseconds, while backend often stores in seconds, with a 1000-fold difference.\n\nTime zone is not a string: store in UTC, display in local time, and don't treat local time as UTC when storing.\n\n2038 problem: 32-bit system time_t overflows on 2038-01-19, so old systems need to be checked in advance.\n\nDaylight Saving Time: there are two repeated / missing local times a year, which is especially problematic for cross-area scheduling.\n\nThings I've made along the way:\n\nTimestamp Quick Reference Page: https://gotimestamp.com/timezone/new-york\n\nRelated Language Pages: https://gotimestamp.com/timezone/london\n\nOpen-source MCP: https://github.com/caresotin/tsforge-mcp - directly connects timestamp conversion / verification to LLM workflow, no manual calculation needed.\n\nIn conclusion, timestamps are not that simple, but with the right tools, it's a breeze. All of the above are free, open-source, and directly usable, and I hope they help those who have encountered similar pitfalls.",
  "summary": "100 city time zone page for cross-zone scheduling quick check, DST automatically calculated The author is a developer in the data pipeline / cross-time zone scheduling direction. This article is not an advertisement, but a record of pitfalls + a tool made along the way. Background When doing data pipeline / cross-time zone scheduling, timestamp conversion is often the most underestimated minefield. 16 timestamp tools (Unix conversion / time zone / ISO8601 / Cron / Duration ...) have covered daily needs; but each language / framework has its own pitfalls, so I added 30 language / framework timestamp pages (python / javascript / java / sql / ...), each containing 6 real pitfalls. Some of the pitfalls I've encountered (just a few examples): Seconds vs milliseconds: front-end Date.now() is in milliseconds, while back-end often stores in seconds, with a 1000-fold difference when mixed. Time zone is not a string: store in UTC, display in local time, and don't treat local time as UTC when storing. 2038 problem: 32-bit system time_t overflows on 2038-01-19, and old systems need to be checked in advance. ...",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}