Followers
6.6K
Engagement rate
0.1%
Average likes
-
Bio
I am engaged in agriculture in Hokkaido. We make melon, rice, onion, millet etc. State of farming work, repair of farming machine, remodeling and DIY to make farming machine easy to use. We sometimes make parts by drawing drawings with CAD software. Following the flow of IoT, using a single board PC such as Raspberry pi and microcomputers such as ESP-wroom-02, we monitor the greenhouse from a smartphone. Planning DIY for automatic irrigation system.
Followers
245K
Engagement rate
1.3%
Average likes
3K
Bio
Hola, soy Leo y vivo en TOKIO JAPÓN Este es JAPANISTECH, un canal de carros y tecnologia con una pizca de la vida en Japón.. Tengo una gran pasion por los electronicos, coches deportivos, modificaciones de carros, drift y el mundo JDM en JAPÓN. Reviews, unboxings y analisis de electronicos. Welcome to my tech channel! I'm a Tech GearHead. I live in Tokyo, Japan and make videos about technology and cars in Spanish. Do you have a product for review? Send it to me! For business inquiries:
Followers
10.1K
Engagement rate
0.4%
Average likes
42
Bio
Media Artist, PhD (Applied Computer Science), Assistant Professor at University of Tsukuba, Principal Investigator of Digital Nature Group. Born 1987 in Tokyo. He is on the committee of Information Processing Society of Japan. He is interested in the field of real world oriented computer graphics and new media art composed of mixture of new media and classic technologies. He was technical paper author of SIGGRAPH and selected artist of SIGGRAPH Art Gallery. He received the Super Creator Title from IPA and METI, Grand Prix of LAVAL VIRTUAL AWARD, Best paper Award from ACE, Springer, Best Demo Award from EUROHAPTICS, Japan Manifest Award, World Technology Award (by TIME&Fortune) and awarded & nominated in many competitions. His research projects were selected in the best of SIGGRAPH 2014′s technical papers(By CGCHANNEL) and the Best video 2012 (by Newscientist). He was featured on BBC, Discovery channel, AP, Reuters, Daily Mail, Daily Telegraph, Russia 1 and over 100 famous web/magazine
Followers
5K
Engagement rate
0.5%
Average likes
20
Bio
Canada-born worldwide traveller, currently residing in North East (Tohoku) Japan. Founder of LotteryCanada.com, Toygaroo.com, ZonMaster.com and others. Recovering developer. Masters in Film (with a business focus). This channel is primarily about Ruby on Rails and being a Tech Entrepreneur. I've been doing both a long time (20+ years of Tech Entrepreneurship, 10+ years of Rails!)
Followers
4.4K
Engagement rate
0.8%
Average likes
14
Bio
Software Engineer in Japan JLPT (日本語能力試験) N1 Certified Level 50 Pokemon GO player Team Instinct Check out my official online store to get Japan exclusive Pokemon and other anime goods shipped straight to your doorstep!! www.japandirect.org I can teach you to code on my other channel youtube.com/@webdevjapan
We use an advanced automated system to collect YouTube influencer profiles by regularly monitoring the YouTube database. Our system identifies the profiles of Tokyo-based YouTube influencers within the tech niche by focusing on the following key metrics:
Relevance to tech: Our system analyzes each influencer's username, bio, and posts to confirm that their content is related to the tech niche.
Location Verification: Our system checks for the inclusion of city or country names in profiles, and where necessary, we analyze flags, localized posts and profile bio data to confirm the influencer's location in Tokyo.
Public Profiles Only: We exclude private profiles, even if they are Tokyo-based and publish tech-related content. Our system only extracts the public profiles of influencers.
Sufficient Number of Posts: Our system picks the influencer accounts that have a consistent history of posts. It proves that the influencer is active and engaged in their content.
Minimum Follower Count: Our system prioritizes Tokyo-based tech influencers with a minimum of 5,000 followers.
By analyzing these key statistics, our system automatically identifies the most relevant tech influencers located in Tokyo, extracts the data, and adds it to our database. The information is then processed, verified, and classified to ensure accuracy and relevance.
Heepsy uses an Al-powered algorithm to identify the most relevant tech YouTube influencers in Tokyo.
Identifying Influencer Location in Tokyo:
Profile Location Information: First, we check if the influencers profile explicitly mentions city or country. If the profile contains certain specific cities from Tokyo, or any other reference to Tokyo, we automatically mark the profile as Tokyo-based.
Bio and Content Analysis: If no explicit location is mentioned, our system scans the influencer's bio for any references to Tokyo, such as cultural symbols, language spoken within Tokyo, or location- specific hashtags that could indicate the influencer's connection to Tokyo.
Use of Flags and Emblems: In cases when the influencer doesn't mention a specific city or region, we look for flags in the bio that indicates Tokyo or any related symbols suggesting origin from Tokyo.
Localized Content: We analyze the influencer's content for any localized posts that show landmarks from Tokyo, events, or local cultural references. This can help us identify their location and target audience within Tokyo.
Identifying tech relevance:
Identifying Key Terms: We begin by searching for specific tech-related terms, such as 'tech' or any other industry terms in an influencers profile (including their name, bio, and posts).
Expanding with Synonyms and Variations: Our algorithm recognizes related terms within the industry and other tech specializations. We also account for variations, ensuring a comprehensive view of the influencer's expertise.
Multilingual Detection: To ensure a global reach, we use an Al-based multilingual sentence transformer to detect influencers in different languages, so we don't miss out on valuable tech voices around the world.
Assigning Relevance Scores: Each influencer profile is assigned a score based on their relevance to the tech category. The higher the score, the more aligned their profile with your campaign needs.
Prioritizing Top Influencers: In our recommendations we prioritize the influencers with the highest relevance scores. This helps us to ensure that the profiles suggested are the best fit for your marketing strategy.
During the location identification process, we assign a score to each YouTube influencer profile that reflects its relevance to tech and Tokyo.
Then we use these scores to rank the profiles in our listings. Influencers with higher relevance scores in both categories - tech and their connection to Tokyo - are ranked higher in the results.
As a result, when you search for tech YouTube influencers in Tokyo in our database, the most relevant profiles appear first. This makes it easier for you to find the best match for your project.
We update our database monthly to ensure you have access to the most current and relevant tech YouTube influencers in Tokyo. The profiles listed reflect the latest data as of March 2025.
Our automated system continuously monitors YouTube, tracking changes in follower count, engagement levels, and content activity from tech influencers in Tokyo. This ensures that our database remains accurate and relevant and helps you find the best tech YouTube influencers in Tokyo for your campaigns at any given time.