Hydro is a Rust framework designed to build correct and performant distributed systems by embedding distributed safety directly into the type system. It utilizes a location-oriented programming model and the Dataflow Intermediate Representation (DFIR) to enable modular, high-performance stream processing with zero runtime overhead. Backed by research from UC Berkeley and AWS, Hydro helps developers avoid common distributed bugs such as message duplication or reordering while maintaining bare-metal performance.

LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.

Normalized 0–100 · last 8 weeks

DataForSEO API

Get LLM mention data of any company via DataForSEO API

Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count. 

How to get LLM mention data →
// Fetch Hydro mentions
POST v3/ai_optimization/llm_mentions/search/live
[
    {
        "target": [
            {
                "keyword": "Hydro",
                "search_scope": ["any"]
            }
        ],
        "platform": "chat_gpt",
        "order_by" : ["ai_search_volume,desc"]
    }
]