- Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
- Reverse engineered the ranking algorithm to match the
leading rarity ranking site's rankings ([scraped](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) using
Selenium) with a **discrepancy of <0.25%**.
- Used app to frontrun purchases of **top 0.5%** rarity NFT's
against competing buyers.
- Wrote **Django (Python)** [backend](https://github.com/Kevin-Mok/rarity-surf) to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
- Wrote **React** [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend) with hooks to dynamically load rarity data. Styled with Tailwind.
- **Developed a full-stack web application** to generate rarity
rankings for NFT's integrated with OpenSea's API,
enabling users to **quickly identify rare NFT's** and check
their listing status, **improving market research efficiency by 80%**.
- **Reverse engineered a proprietary ranking algorithm** to
mirror the leading rarity ranking site’s results,
**achieving 99.75% accuracy** by
utilizing data scraping techniques [with Selenium](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py),
increasing the platform's trustworthiness among users.
- **Optimized purchasing strategy** by leveraging the app to
frontrun competitors in purchasing top 0.5% rarity NFTs,
**boosting acquisition success rate by 90%** and allowing
users to gain a competitive edge in the marketplace.
- **Architected a robust Django (Python) [backend](https://github.com/Kevin-Mok/rarity-surf)** to fetch and process
NFT metadata from IPFS, store rarity rankings in
**PostgreSQL**, and serve the data via GraphQL API, **ensuring low-latency access and scaling to handle 2,000+ concurrent requests**.
- **Developed a dynamic React [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend)** using hooks to load
rarity data in real-time, styled with Tailwind for
mobile responsiveness, **improving user experience
- Web app to give rarity rankings to NFT's and check which are listed on the OpenSea marketplace using their API.
- Reverse engineered the ranking algorithm to match the
leading rarity ranking site's rankings ([scraped](https://github.com/Kevin-Mok/rarity-surf/blob/django/rarity_check/project/scrape.py) using
Selenium) with a **discrepancy of <0.25%**.
- Used app to frontrun purchases of **top 0.5%** rarity NFT's
against competing buyers.
- Wrote **Django (Python)** [backend](https://github.com/Kevin-Mok/rarity-surf) to fetch metadata from IPFS, store rarity rankings in PostgreSQL and serve rarity data using GraphQL.
- Wrote **React** [frontend](https://github.com/Kevin-Mok/rarity-surf-frontend) with hooks to dynamically load rarity data. Styled with Tailwind.