尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
依最近已完成的 8 小時觀測回合間的 GitHub 星號增量排序
Type the product name from the box. Bygga shows every assembly step in 3D, with the parts, screws and tools for each one, and reads it out loud.
翻譯準備中
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權，自行管理介紹，無需管理員核准。
登入並產生驗證檔案，在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案，即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入，將前往登入頁面。登入後請回到此處，再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify，即可驗證所有權並自行管理介紹。
一分鐘完成驗證製作者的介紹僅有上面的一句話。 更多詳情請閱讀儲存庫 README。 儲存庫 README ↗
正在載入完整 README。
檢視完整 README ↗A ten-question taste quiz that matches you to one of twelve popular London neighbourhoods — vibe, budget, commute, and community, not postcode trivia. Available in English and Korean.
Live site: https://cheersfromerica.github.io/Find-Your-London/
index.html — the quiz itself: ten questions, a preview grid of all twelve possible neighbourhoods, and a result page with a save-as-JPG share card.how-it-matches.html — a behind-the-scenes look at the matching logic: a flowchart of the scoring pipeline plus the full question-to-trait and area-to-trait data tables.Each answer nudges eight underlying traits (energy, community, affordability, green space, culture, family fit, connectivity, riverside character). After all ten questions, those traits are normalized and compared by distance against twelve fixed neighbourhood profiles — closest match wins.
Built as static, dependency-free HTML/CSS/JS — no build step, no backend.
© 2026 · @cheers.from.erica