{
    "aasm_state": "approved",
    "ai_declaration": "I used AI to help me understand Mobility Database\u0027s API, especially how I would fetch the correct country most of the data was based in because the data it returned would sometimes be malformed and showed random municipalities or countries. I also used it to help me write a good prompt and choose a good model for the AI analysis (used Claude for this part)\r\n\r\nFinally, I used Zed\u0027s code autocompletion and Claude + GitHub Copilot to debug.",
    "approved_at": "2026-04-28T14:36:58.836Z",
    "approved_seconds": 36991,
    "created_at": "2026-04-20T19:44:17.832Z",
    "demo_link": "https://transit.m4rt.nl",
    "desc": "A web app that analyses over 6000 GTFS feeds with AI.\r\nYou can use this to see how well your public transport system compares to others.\r\n\r\nNote for reviewers: Please be patient, I\u0027ve tried optimising the performance as much as possible, but it might still feel a bit slow due to the Mobility Database API not being the best",
    "hackatime_projects": [
        17313
    ],
    "high_quality": true,
    "id": 1806,
    "real_approved_seconds": 37008,
    "rejected_at": null,
    "repo_link": "https://github.com/SwiftDust/transport-accuracy",
    "reported_seconds": 37115,
    "screenshot": "https://r2.hctg.gallery.karimeltaib.com/1806.png",
    "status": "Approved on 2026-04-28",
    "submitted_at": "2026-04-25T18:31:01.660Z",
    "tags": [
        1
    ],
    "title": "Transit Accuracy",
    "total_seconds": null,
    "unread_notification_count": 0,
    "updated_at": "2026-04-28T14:37:00.133Z",
    "user_id": 47,
    "username": "Mart (SwiftDust)",
    "ysws": null
}