Foodies Manga Wraps Up on Comic Days
The final chapter becomes free to read on September 30, following its September 16 release.

Tadashi Agi and Jun Nakanishi's Foodies manga ended on Kodansha's Comic Days website on September 16. The series launched in August 2025.
Kodansha's Comic Days website published the last chapter of Tadashi Agi and Jun Nakanishi's Foodies manga on September 16. Readers can access the chapter for free starting September 30.
The manga began on Comic Days in August 2025. Its creative credits are:
- Tadashi Agi: original story
- Jun Nakanishi: manga art
- Shokichi: original concept and research cooperation
Kodansha released the first collected volume in October 2025. The fourth volume followed on July 17.
Foodies follows Takumi Itadaki, a legendary chef's grandson whose company tasks him with starting a gourmet review website. He searches for true Foodies capable of providing rare food reviews.
By coincidence, major food company Tenshoku pursues the same idea. Takumi enters a fierce recruiting battle with its foodie hunters, each side seeking to attract gourmet individuals.
Agi is best known for Drops of God, which inspired an internationally co-produced, multilingual live-action television series in 2023. It premiered on Apple TV+, now called Apple TV. Its second season debuted on January 21.
A television anime adaptation of Drops of God premiered on April 10. Crunchyroll streamed it as it aired.
The Gifted, written by Shin Kibayashi as Seimaru Amagi and illustrated by Rima Amamiya, will receive an anime adaptation in 2027.
Tadashi Agi is the shared pen name of writer Shin Kibayashi and his sister, Yuko Kibayashi. A prolific manga writer, Shin Kibayashi uses several pen names. His real-name credits include Kaze to Kaminari and Shima Kōsaku no Jiken-bo.
His other pseudonyms and associated works include:
- Yuya Aoki: GetBackers
- Ryō Ryūmon: Bloody Monday
- Seimaru Amagi: original idea for Kindaichi Case Files
- Yuma Ando: Psychometrer, Psychometrer Eiji, and Sherlock Bones
Sources: Comic Days via ANN







