Flare (FLR), a layer-1 (L1) blockchain data platform, has announced the launch of Flare Fair, a gamified virtual fair designed to showcase the network’s potential in decentralized finance (DeFi), as outlined in the reports sent to Finbold on Friday, February 7
Operating in phases, the fair will continuously present new tasks, themed virtual rides, and decentralized applications (dApps), offering participants a chance to earn rewards such as rFLR emissions, FlareDrops, and high-yield annual percentage rates (APRs).
Users can likewise unlock additional rewards, including rFLR emissions drawn from a 510 million FLR pool, by staking, lending, or supplying liquidity on Flare’s featured platforms.
Additional tasks, challenges, and trading opportunities will be announced and introduced in the near future.
Flare Fair
With low fees, high transaction speeds, and multi-layered incentives, Flare Fair is envisioned as both an accessible entry point for newcomers and a platform for more experienced traders looking for more opportunities to optimize their strategies.
Ami Tsang, Head of Marketing at Flare, encouraged users to participate in the fair, noting the growth of the platform and the ease of access in provides in particular:
“Users are encouraged to participate in different pools, which they can claim monthly at portal.flare.network. Doing DeFi on Flare should be fun and easy. Since the introduction of the rFLR emission program, Flare’s TVL has climbed 3x to approximately $60 million in just five months! With the opening of the Flare Fair, the steps for participation in Flare DeFi will be greatly simplified and are deemed to boost our TVL and ecosystem growth.”
Those interested in the fair can explore different interactive zones on Flare’s official page, where they’ll find dApps like SparkDEX, BlazeSwap, Clearpool, Enosys, Kinetic, and Sceptre.
The upcoming tasks will range from bridging assets to Flare using Stargate to lending and supplying assets such as USD Coin (USDC), Tether (USDT), Ethereum (ETH), and of course, FLR.
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