- B2C
- Early StageStartup in initial stages
TagDat careers
TagDat is the most innovative local review App and the first alternative in the market to ever serve younger users’s need for mobility, individuality and fun. Incorporating advanced concepts of machine learning, deep learning and augmented data visualization, it has powerful data-processing features that allow you to:
- Quickly find the most suitable local businesses based on your personal needs, whether they are spicy, artsy, business-friendly, etc!
- Skip reading millions of lengthy text reviews on your tiny phone-screen!
- Intuitively understand a quantitative visual-map illustrating which location you should visit and avoid!
- Stop spending hours in searching for local businesses that suit your need the most!
- View the top ranked businesses in your local regions or any other city!
- Instantly know the businesses’ general ratings and outstanding characteristics!
- Easily submit your own reviews and photos within seconds!
- Be different and unique!
- Quickly find the most suitable local businesses based on your personal needs, whether they are spicy, artsy, business-friendly, etc!
- Skip reading millions of lengthy text reviews on your tiny phone-screen!
- Intuitively understand a quantitative visual-map illustrating which location you should visit and avoid!
- Stop spending hours in searching for local businesses that suit your need the most!
- View the top ranked businesses in your local regions or any other city!
- Instantly know the businesses’ general ratings and outstanding characteristics!
- Easily submit your own reviews and photos within seconds!
- Be different and unique!
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Zheng Cai
I am a NASA Hubble Fellow at University of California. I am studying high redshift galaxies, large-scale structures, and big data in astronomy and real world.
Jinyuan Li
Chief Commercial Officer of TagDat Inc.
Wilson Li
Founder @TagDat, @HaoRiZi
Valuation
$0
Funded over
1 round
Latest round
Sep 2016
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