# Overview ### What is SolBlaze and Why BLZE Gauges Matter SolBlaze is a leading stakepool protocol on Solana, offering a liquid staking solution called BlazeStake. When users stake SOL through BlazeStake, they receive bSOL, a yield-bearing token that represents their staked SOL and can be used across the Solana DeFi ecosystem. This allows users to earn staking rewards while maintaining access to their capital. Beyond liquid staking, SolBlaze also promotes network decentralization by distributing stake across smaller, high-performing validators and excluding the largest ones to avoid centralization.\ \ **The BLZE Gauge System** A key feature of the SolBlaze ecosystem is the BLZE gauge system, a community governance mechanism that empowers users to vote on how BLZE incentives are distributed. By locking BLZE tokens, users receive veBLZE (vote escrowed BLZE), which gives them voting power. #### What BLZE Gauges Influence * Validator Stake Allocation – Users vote to direct more stake toward specific validators, supporting decentralization and performance-based delegation. * DeFi Incentives – Gauges determine where BLZE emissions are allocated across DeFi integrations like bSOL LPs and lending platforms. * DAO Actions – Community members can propose and vote on actions such as burning BLZE tokens or directing funds to the SolBlaze DAO. \ **Why Voting Matters** Voting helps decentralize Solana by empowering smaller validators, steers incentives to community-preferred DeFi integrations, and ties directly into the BLZE token economy through actions like token burns. Active participation shapes the future of SolBlaze and helps align rewards with what the community values most. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://votafi.gitbook.io/votex/veblze-market/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.