Hey everyone! I'm Samurai — full stack dev and community contributor over at Pyth Network. To Showcase the true power of Pyth As B2C and Also As a tool for all pythians to instead of running between 7 tabs to monitor the market they can have all access needed in one place and its called PythFeeds.
What is it?
PythFeeds is a terminal-style market dashboard that brings crypto, stocks, US equities, metals, forex, and commodities into one place , no tab-switching, no stitching together half a dozen tools.
But here's where it gets interesting: every price on the platform is layered with Pyth Network oracle data pulled directly from Hermes. That means you're not just looking at a CoinGecko number. You're seeing what the oracle actually reports. confidence intervals, feed freshness, the whole picture. For traders and researchers who care about data quality, that distinction matters.
pythfeeds.com
What's inside?
Live crypto and asset rankings with real-time charts
Swap and DEX tooling
Macro economic calendars
Fear & Greed Index
Bubble maps and heatmaps
Portfolio tracking
AI-powered market helpers
And Much More......
The part I'm most proud of: /feeds
If you're a developer or someone who works with oracles, pythfeeds.com/feeds is worth bookmarking.
It's a full explorer for the Pyth oracle surface. You can search by asset, filter by staleness, inspect confidence bands, copy feed IDs, and watch prices stream live. Think of it as making the oracle layer actually browsable , not just a coin list with a Pyth badge slapped on top.
It's the kind of tool I wished existed when I was first getting into Pyth's price feeds.
Why I built this
Traders and researchers deserve better tooling. The data is out there , Pyth is publishing thousands of price feeds in real time , but accessing it in a meaningful way still required too much custom work. PythFeeds is my attempt to close that gap and give people a fast, transparent window into both market prices and the oracle layer behind them.
Would love to hear what you think. If you're building on Pyth or just want fresher price data than the usual aggregators offer, give it a spin and let me know what features you'd want to see next.
— Samurai
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