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    deCarbon Protocol

    Green Analytical Optimized Engine

    Demo

    About

    The problem it solves A) Why it born 1) Trends + We are living in the 21th Century. People are talking global warming, sea level raising, ... and climate changing. Our team want to be a potential fragment of green big picture for the humankind effort + Global investment flow is to focus on clean tech, ESG, renewable energy, ... and carbon credits. We are looking an investment opportunity to apply our technology knowledge in the next creative industry 2) Pains + Too many ideas to turn carbon credit into cryptocurrency for trading but the problem is to reduce carbon emission instead of generating new cryptocurrency + It is not enable to Measure first, Buy later because there are lack of the conceptualization of methodologies and theories for calculating carbon emission from internet' activities 3) Passions + Growth hacking driven frameworks and tools are conceptualizations of agile methodologies and data driven theories for user acquisition. Why is not green hacking existed for carbon reduction? + Cloud computing is evolution then it makes a big change for transforming CAPEX model into OPEX model in purchasing computing infrastructure. Is it possible for an analytical platform to help calculating and estimating carbon emission from digital activities ? Then people can purchase carbon credit bill daily in OPEX model instead preorder carbon credit budget yearly in CAPEX model B) What it does 1) Problem vs Solution Fit + User personal: A green web3 developer in 2033 + Problem: How to calculate and estimate carbon emission for next frontend version + Solution: A platform is to monitor with green metrics and dashboard visualization which shown performance changes for every new update 2) Solution vs Minimal Visual Product Fit: + Total Carbon Emission Timeline Chart per address within filselectingtering time range + Profiling Avg Speed of Carbon Emission Buble Chart within selecting time range + Top 20 profiling Addresses List which made 80% impact within selecting time range

    How it's made

    Challenges we ran into A) What challeges we overcame - The first, there are no research for calculating carbon emission on blockchain for each single transaction while we have to analysis carbon emission related algorithms from many research then concepts the new one. It is not 100% exactly, but it could be corrected 95% estimation. - The second, multi-dimensions database for multi blockchain network. We want to design one schema which adapts most blockchain network's transaction data. - The third, business requirement. Actually, green engineer (or green web developer) is not existed yet. We don't know what daily their job look like, what charts or data stories they should have, what green metrics is besides kgCO2 or kgCO2/hour. B) What We're proud of We completed 2 charts which is included datasets, SQL queries sample and insight proposal for green engineers C) What we learned Concepts to calculate and estimate carbon emission from web3 application D) What's next for deCarbon Protocol more charts, more contributor and more lovers