Lets Trip LST
- Project TypeToken
- Platform TRON
- Circulating Supply1,250,000,000
- Total Supply5,000,000,000
- Max SupplyNone specified
- Primary SectorTravel & Tourism
- JurisdictionRussian Federation
In the IT industry since 2010. Became interested in blockchain technology in 2016. Let’s Trip project author
Programmer, bachelor, in the IT-industry since 2005. Blockchain technologies development and integration since 2015.
Kvan Te Su
In the IT since 2014. Author of the information part of the project. Profile – content integration into the Let’s Trip database.
In the IT industry since 2015. Author of the Telegram and VK channels about news and events (more than 910 000 real followers).
In the IT industry since 2012. Became interested in blockchain technology in 2017.
In the IT industry since 2016. Content selection, SMM. Became interested in blockchain technology in 2016
OS-developer since 2009. The main focus on working with maps, co-author and developer of the “Gde Schaverma?” application (More than 150,000 downloads), developer of the blockchain-exchange mob app GENESIS.VISION.
In the IT industry since 2001. Integration of cloud services and blockchain technologies, communication with the development department.
Programmer, in the IT since 2009. Specializes in big data, knowledge: .Net, HTML, SQL. Blockchain technologies development and integration since 2016.
Questions and Answers
Live token offerings
|Lets Trip ICO||20 Apr 2019||20 May 2019|
Upcoming token offeringsNo upcoming token offerings
Past token offeringsNo past token offerings
- 8 of 27 Team Members Verified
- Company Verified
- KYC Interview Conducted
Detailed due diligence exclusive to subscribers
Our proprietary TrustScore algorithm uses artificial intelligence machinery and combines dozens of data points including ID verification of every team member, company verification data, video interview with the project directors and dozens of additional data points offered by the projects such as social media profiles, white paper, questions and answers and many more to calculate the TrustScore.
A = Excellent
B = Good
C = Average
D = Below Average
E = Low <- this project