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What Japan's AI Hackathon Scene Looks Like

Companies field real teams. Japanese events lean hard toward work that could ship into an actual operation.

Agentforce Hackathon Tokyo drew 37 teams and around 150 people. First place went to Beauty Cloud, a cosmetics-retail service tool, with a ¥1.5M prize; second to Dentsu Digital's multi-agent marketing support; third to Kitalive's relocation-support platform. The podium is dominated by teams from operating companies and agencies, and the subjects are their own day-to-day problems. At the joint broadcasters' hackathon, teams from multiple stations tackled cutting long-form programming into short clips — again a real production task.

The All-Japan AI Hackathon's Chubu event has a different flavor. It introduced hands-on demo judging, where judges operate the software themselves, specifically to catch projects that present well but do not run. The general division was won on overall completeness and the beginner division on reliably working software; the beginner winner was built in a 45-minute sprint. The preference for certainty over spectacle is baked into the judging format itself.

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Takeaway: for a Japanese event, choose a subject where you can say whose job gets how many minutes shorter, rather than showing a generic demo. Where judges will operate your build, cut features until what remains is certain to run on the day. And at events thick with corporate teams, an individual entrant is better off narrowing to a niche operational problem than meeting a large company head-on.

Projects cited in this analysis

2025W
General Division Winner

What's this?

全日本AIハッカソン 中日本大会
A quiz game weaving the theme 'Light' through varied scenes, by team Kamomi — won on overall completeness in live demo judging.
2025テ
Beginner Division Winner

テーマ「解」×「弁解」

全日本AIハッカソン 中日本大会
Built by Kamie Shinju in a 45-minute sprint from the concept of 'excuse' — won the division on combined team and solo results for reliably working output.
2025B
Winner (¥1.5M prize)

Beauty Cloud (Lightning Brightning)

Agentforce Hackathon Tokyo
Transforms cosmetics retail: analyzes customer data across store, EC and counseling touchpoints to generate personalized recommendations that close the gap between veteran and novice staff. Won among 37 teams.
2025次
2nd Place

次世代型シナリオプランニング (電通デジタル)

Agentforce Hackathon Tokyo
A team of AI agents dividing strategy, copywriting and analysis inside Slack to run the marketing PDCA loop — 'a parallel AI workforce'.
2025自
3rd Place

自律型移住支援プラットフォーム (キットアライブ)

Agentforce Hackathon Tokyo
A regional-revitalization agent that bridges municipalities, companies and prospective migrants — matching regions, jobs and programs through to post-move settlement.
2026C
Development Track — Grand Prize

ClipMind

放送局合同 AI ハッカソン (Google Cloud)
Drop in a long broadcast video and it works out the edit plan, picks the scenes and writes the captions to produce a social-ready short. Afterwards you can still adjust it by chat — 'make the captions yellow' — and it took the top spot against 28 teams from Japanese broadcasters.

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