外星人來亂喔 – Details, episodes & analysis
Podcast details
Technical and general information from the podcast's RSS feed.
小鳴、冬野、亨利跟Ｒｕｉｎ，一起聊天 分享我們的靈性旅程
Powered by Firstory Hosting
Recent rankings
Latest chart positions across Apple Podcasts and Spotify rankings.
Apple Podcasts
🇬🇧 Great Britain - spirituality
29/06/2026#98🇬🇧 Great Britain - spirituality
10/04/2026#63🇫🇷 France - spirituality
16/01/2026#69🇬🇧 Great Britain - spirituality
15/01/2026#96🇫🇷 France - spirituality
15/01/2026#48🇬🇧 Great Britain - spirituality
14/01/2026#51🇫🇷 France - spirituality
14/01/2026#32🇩🇪 Germany - spirituality
05/09/2025#97🇩🇪 Germany - spirituality
04/09/2025#59
Spotify
No recent rankings available
Shared links between episodes and podcasts
Links found in episode descriptions and other podcasts that share them.
See allRSS feed quality and score
Technical evaluation of the podcast's RSS feed quality and structure.
See allScore global : 53%
Publication history
Monthly episode publishing history over the past years.
EP. 1 外星人對原生家庭的看法 我的爸媽不是真的爸媽、十萬個為什麼大人只會叫你不要問、製造外星人就是上帝梗圖
Season 1 · Episode 1
mardi 2 septembre 2025 • Duration 53:16
欸！外星人來亂喔
這一集來聊聊我們三個外星人靈魂的小孩成長過程發生有趣的事情
也聊到從星座、阿卡西紀錄如何看待家庭議題
也詢問星際指導靈Ruin 外星人對家庭的看法、需要伴侶要談戀愛嗎及外星人是如何誕生的。
Apple: https://tinyurl.com/287pond3
Spotify: https://tinyurl.com/24d3hjsj
KKbox: https://tinyurl.com/2cfptanl
歡迎追蹤我們
小鳴 https://portaly.cc/Ruin_Love
冬野 https://pse.is/83mrar
亨利 https://www.threads.com/@hangoodeats
留言告訴我你對這一集的想法： https://open.firstory.me/user/cmesds2bq004w01tx0pwr4dim/comments
Powered by Firstory Hosting
EP.∞ 與外星人相遇
Season 1
mercredi 27 août 2025 • Duration 30:54
欸！外星人來亂喔，來自昴宿星的外星指導靈Ruin跟傳訊師小鳴，分享他們相遇的過程，靈性導師冬野與星座愛好者亨利分享自己對外星人的看法，來看看會擦出什麼火花吧。
歡迎追蹤我們 LINE https://lin.ee/X0rKUii
留言告訴我你對這一集的想法： https://open.firstory.me/user/cmesds2bq004w01tx0pwr4dim/comments
Kevin MacLeod創作的「Luminous Rain」是依據 創用 CC (姓名標示) 4.0 授權使用。 https://creativecommons.org/licenses/by/4.0/
來源： http://incompetech.com/music/royalty-free/index.html?isrc=USUAN1100169
藝人： http://incompetech.com/
Powered by Firstory Hosting
Related Shows Based on Content Similarities
