What is Wiki Cat (WKC)?

By CMC AI
19 September 2025 12:50AM (UTC+0)

TLDR

Wiki Cat (WKC) is an educational-focused cryptocurrency token designed to simplify crypto learning through community-driven knowledge sharing, built on Binance Smart Chain with deflationary tokenomics.

  1. Educational utility – Merges wiki-style collaboration with crypto education, aiming to demystify blockchain for newcomers.

  2. Deflationary design – Burns 447 trillion tokens (44.7% of total supply) to incentivize scarcity.

  3. Decentralized exchange focus – Primarily traded via PancakeSwap’s automated market maker (AMM) model, emphasizing user-controlled liquidity.

Deep Dive

1. Purpose & Value Proposition

WKC positions itself as a “crypto literacy token,” blending the open-editing ethos of wikis with feline-themed symbolism for exploration. Created by SMC DAO, it targets newcomers through partnerships like SuperEx (Medium), which integrates decentralized wallets and educational resources. The project emphasizes self-custody and accessible learning, though concrete educational tools beyond exchange listings are unspecified in available data.

2. Tokenomics & Scarcity Mechanics

With a 1 quadrillion total supply, WKC employs aggressive burns:
- Manual burns: 300 trillion tokens destroyed at launch.
- Auto-burns: 147 trillion removed via transaction mechanisms.
Only 14 trillion WKC (2.5% of circulating supply) are in PancakeSwap’s liquidity pool (GitBook), creating high slippage for large trades. This design prioritizes scarcity but risks liquidity challenges.

3. Decentralized Trading Infrastructure

WKC’s primary liquidity resides in a WKC/BNB pool on PancakeSwap, using AMM principles where buys reduce pool supply and increase price algorithmically. Centralized exchange listings (e.g., Gate.io, LBank) operate independently, relying on market makers to mirror DEX prices.

Conclusion

Wiki Cat combines meme-inspired branding with deflationary tokenomics to promote crypto education, though its practical educational tools remain undefined. How effectively can it balance speculative token dynamics with long-term educational value as the market evolves?

CMC AI can make mistakes. Not financial advice.