case study
Dextools burn dashboard
The project dashboard is a complete product providing insights of valuable data. It is fully customizable and completely adaptive to your projects' needs, capable of tracking both off-chain and on-chain data. The dashboard can be used to display the vital metrics of your project, providing a cutting-edge analysis in a blink of an eye and making it a powerful marketing and analysis tool.
Client
DEXTools
Industry
DEX, Aggregator, DeFi
development time
<1 month
service
Dashboard
Shortly about the APPLICATION
The project dashboard is a powerful tool empowering anyone to easily understand extremely valuable data with just a simple look at it, eliminating the need for complex data structures and hours spent on blockchain explorers.
explore the application's main features
daily burn stats & circulating supply
Lines that track the number of tokens burned daily and show how $DEXT deflationary mechanics reduces the supply over time. For the daily burn stats, the total amount is obtained by combining the last 24 hours of fees from the aggregator and social wallets, thus generating a prediction of the percentage of supply burned yearly, based on the last 24 hours data.
Tokens burned in the last 24h-7d-30d
The dashboard features three important boxes that track the exact number of tokens burnt over different time frames: the last 24 hours, 7 days, and 30 days. Each box includes a relative supply percentage and a speedometer-like counter, which allow users to easily visualize the projected yearly burn rate percentage based on the selected time frame.
valuable insights
The first box shows the number of $DEXT holders and the variation in the last 24 hours. The second box displays the price project owners pay to update social media information and calculates the discount rate. The third box provides monthly buy pressure and a one-year price forecast using specific formulas. The fourth and final box shows the number of $DEXT tokens burned and the expected annual burn.
Achieved results
Facts are better than words. Here are the top results obtained by this dashboard.

technology stack used for the application

linux
python
django
javascript
css
redis
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talk
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