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Trend Map Co., Ltd. to Exhibit AI-powered Video Trend Analysis SaaS "BuzzClipper" at STARTUP JAPAN EXPO 2026

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N1 Content Completeness 6

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Trend Map Co., Ltd. will exhibit its AI-powered video trend analysis SaaS, "BuzzClipper," at STARTUP JAPAN EXPO 2026, held at Makuhari Messe on April 15-16, 2026. BuzzClipper analyzes YouTube and TikTok data to identify trending videos, proposes content plans using AI, and offers features like buzz video search, AI-driven content generation, sentiment and flame risk analysis, and competitor channel monitoring. A demonstration will be conducted at booth 17-33. STARTUP JAPAN EXPO 2026 is one of Japan's largest startup exhibitions, hosted by Sansan Corporation, with approximately 450 exhibitors and an estimated 13,000 attendees.

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Frequently Asked Questions

Q: What is BuzzClipper and what does it do?
A: BuzzClipper is an AI-powered trend analysis SaaS that instantly extracts and analyzes currently trending videos from YouTube and TikTok data to propose unique hit content plans.
Q: What problems does BuzzClipper aim to solve for marketers?
A: BuzzClipper aims to solve challenges such as the enormous time spent on research, stagnant content planning, and the fear of online backlash associated with video utilization in marketing.
Q: What are the key features of BuzzClipper that will be demonstrated at the exhibition?
A: The key features to be experienced are 'Buzz Video Search' for real-time scanning of trending videos, 'AI Content Generation' for creating titles and content structures, and 'Sentiment and Flame Risk Analysis' to understand viewer feelings and potential risks.
Q: Where and when will Trend Map Co., Ltd. be exhibiting BuzzClipper?
A: Trend Map Co., Ltd. will be exhibiting BuzzClipper at STARTUP JAPAN EXPO 2026, held at Makuhari Messe on Wednesday, April 15, and Thursday, April 16, 2026.
Q: How does BuzzClipper's 'Buzz Video Search' feature work?
A: The 'Buzz Video Search' feature scans YouTube and TikTok in real-time to instantly list currently trending videos by genre, allowing for research that would be impossible manually.