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Klyrx.xyz - Independent reliability rating for crypto assets&protocols

Klyrx.xyz - Independent reliability rating for crypto assets&protocols

by sergeyso·Mar 9, 2026·1 point·0 comments

AI Analysis

●●SolidSlickDark Horse

Transparent reliability scoring for DeFi yield when DefiLlama focuses on raw TVL.

Strengths
  • Transparent weighting formula (30% volatility, 30% liquidity, etc.) visible on site.
  • Read-only analytics requiring no wallet connection preserves user privacy.
  • Clean scatter plot visualization comparing APY directly against reliability scores.
Weaknesses
  • Positions dashboard currently shows demo data, limiting immediate practical utility.
  • Crowded market with established players like DefiLlama and Token Terminal already offering risk metrics.
Category
Target Audience

DeFi investors and yield farmers

Similar To

DefiLlama · Token Terminal · Nansen

Post Description

Hey HN,

We built Klyrx.xyz - a small, transparent reliability score for crypto assets and protocols. No sponsors, no paid placements, no affiliate links. Just public data + a simple, open formula. Different scoring for different types:

- Stable assets (USDT, USDC, etc.): score = 70% market factors (volatility, liquidity, cap, age) + 30% peg stability

- Regular assets (BTC, ETH, SOL, etc.): score = 30% volatility + 30% liquidity + 30% market cap + 10% age

- Protocols (Lido, Aave, Uniswap, etc.): score = 30% TVL stability + 22% usage + 20% age + 10% security + 18% TVL size

Data comes from CoinGecko, DefiLlama, Dune, and on-chain sources. All weights are visible on the site, and we are open to changing them based on feedback.

Current top is interesting: stablecoins lead (makes sense), BTC/ETH are close behind, some protocols score very high due to TVL & security.

Would love your thoughts: - Does the weighting feel reasonable? - What important factor is missing? (e.g. exploit history, governance risks, on-chain activity depth) - Any asset/protocol you think is clearly misranked?

Site: https://klyrx.xyz

The code is not open-source yet, but the methodology is fully described on the site, and I'm happy to share the logic/formula details.

Roast it, improve it, whatever - feedback is very welcome.

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