
『LOOM』という言葉には、「何かが朧げに見えてくる」「織機」という意味があります。 このPodcast『LOOM』は、さまざまな「人」がさまざまな「カルチャー」について自由に語り合う場所。 ざっくばらんな会話を通して、今は朧げなあなたの中にある「興味」や「考え」が、少しずつ紡がれていきます。 メールアドレス:loom@tbs.co.jp 制作:TBSラジオ TBS Podcastサイト:www.tbsradio.jp/podcast/
| Publishes | Twice monthly | Episodes | 21 | Founded | a year ago |
|---|---|---|---|---|---|
| Language | Number of Listeners | Category | Society & Culture |

▼上坂あゆ美
1991年生まれ、静岡県出身。東京都在住の歌人、文筆家。
2022年2月に第一歌集『老人ホームで死ぬほどモテたい』を
書肆侃侃房(しょしかんかんぼう)より刊行。
去年11月には新刊エッセイ『地球と書いて〈ほし〉って読むな』を文芸春秋より出版。
▼鈴木ジェロニモ
1994年生まれ、栃木県出身。プロダクション人力舎所属
J-WAVE『GURU GURU!』「鈴木ジェロニモ 半径3mの違和感短歌」ナビゲーター。
2024年11月、書籍『水道水の味を説明する』をナナロク社よ... more
パリ・ファッションウィーク/言語化の危険性/新しいクリエイティブとは
Learn more about your ad choices. Visit megaphone.fm/adchoices
『天竜川ナコンの現実相談』
「楽しいことがあっても自分から避けてしまう。不幸になりたがる自分が嫌いです。」
天竜川ナコン(x.com/love_eminemu)
Learn more about your ad choices. Visit megaphone.fm/adchoices
小川哲
1986 年生まれ。千葉県千葉市出身。東京大学大学院 総合文化研究科 博士課程退学。2015 年、『ユー
トロニカのこちら側』で第3回ハヤカワSFコンテストの大賞を受賞し作家デビュー。『ゲームの王国』で
第38 回日本SF 大賞、第31 回山本周五郎賞を受賞。『地図と拳』で第168 回直木賞、第13 回山田風
太郎賞を受賞。
九段理江
1990年生まれ。埼玉県浦和市(現さいたま市)出身。2021年、「悪い音楽」で第126回文學界新人賞
を受賞して作家デビュー。同年に発表した... more
People also subscribe to these shows.





How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #185 |
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
Rephonic provides a wide range of podcast stats for LOOM. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to LOOM and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for LOOM, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for LOOM, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers LOOM has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
These podcasts share a similar audience with LOOM:
1. 奇奇怪怪
2. BAD PHARMACY
3. 流通空論
4. アフター6ジャンクション 2
5. 3003 -サンゼロゼロサン-
LOOM launched a year ago and published 21 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for LOOM from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of LOOM. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.