Cōnfīdentia (n.): Assurance, Confidence, Boldness
There’s no network like the Pyth network. Pyth unlocks some of the best data for pioneers, innovators, and thought leaders building on-chain and off-chain. It’s our pleasure to support and build alongside so many talented teams and to highlight their newest launches and debuts.
Everyone member of our ecosystem is special — especially this week’s guest! Today, we’re joined by the Snowflake team, a multisig and on-chain automation platform on Solana.
What is Snowflake?
Snowflake is an institutional-grade multisig wallet and on-chain automation platform built for individuals, DAO’s and teams! Our latest product — Snowflake Safe — is the Gnosis Safe of Solana.
How does Snowflake use Pyth Price Feeds?
Pyth network allows our platforms to support price-conditional transactions and automation for users. For example, Pyth enables Snowflake to allow users to purchase a token when it falls above or below a certain price — in other words, executing an on-chain limit order. This automation is available directly from Snowflake Safe multisig on Solana.
Tools for Treasury: Snowflake and Marinade
Snowflake Safe offers unparalleled features for users to securely store and manage their treasury via a multisig. Through Snowflake, teams are already able to lend, swap and borrow tokens directly from our multisig platform. We’ve just launched our integration with Marinade Finance to allow users to stake their SOL to earn yield on idle tokens stored within their treasury.
That said, this is just the beginning — we’re releasing new features and integrations every week. Soon you will be able to receive notifications of transactions from your safe, pay with an integrated privacy layer and invest into a range of asset management products powered by some of the largest platforms on Solana.
Get Involved
Teams can visit Snowflake to create a secure multisig with just a few clicks.
Follow us on Twitter and Discord to keep track of all the latest news and releases.
We can’t wait to hear what you think! Feel free to join the Pyth Discord, follow Pyth on Twitter, and join the Telegram to learn more and ask any questions you may have. You can also learn more here.
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