the horses were just the beginning. watch the new tech soon and you'll $STRIDE 👀

Next : BIG HORSES INCOMING. ngl, you'll see something. 🔔

✨ sorry but horse is the new meta ✨

🏇for $STRIDE

parallel execution. parallel horses. $STRIDE

new to $Stride. don't fully understand it. holding a bag. classic crypto arc

Next : TG bot. 👀

bought a coin with a horse on it it went ∞% i don't make the rules $STRIDE 🐴

that's where we're striding next guys 📈🐎

STRIDE QUICKBUILD INTERFACE IS LIVE LET'S DO THIS!

the stride riders don't ask how. they ask how many transactions per slot.

we stridingggg baby

Next update : more dashboard-native components. . . . SDK API.

stride solves a problem i didn't know i had and now it's all i can think about. this is what crypto does to you

stride or die

orchestrated. like riding a horse in space.

Stride Stride is a parallel execution orchestrator for Solana. It takes complex transaction sequences, models them as directed acyclic graphs, and automatically identifies which operations can run at the same time. The result is fewer slots, lower latency, and better throughput compared to sequential submission. Problem Solana supports parallel transaction execution at the runtime level, but most applications still submit transactions one at a time. When you have multiple independent operations (swaps across different pools, transfers to different recipients, multi-step workflows), sending them sequentially wastes slots and increases exposure to price movement and failed landings. How It Works You define execution units, each containing one or more Solana instructions, and declare dependencies between them. Stride analyzes account-level read/write locks to detect conflicts, computes parallel execution groups using topological sorting, and submits independent groups simultaneously. Before anything hits the network, a simulation engine estimates compute units per instruction and predicts potential errors. A fee optimizer calculates priority fees using one of three strategies (conservative, adaptive, aggressive) based on recent slot data, with optional Jito tip integration. An event monitor streams the full execution lifecycle in real time: units sending, confirming, retrying, failing. Telemetry is recorded for post-execution analysis. Architecture On-chain program (Rust): Manages graph state, lock entries, and execution lifecycle on Solana. Handles 10 instruction types from graph initialization through finalization. TypeScript SDK: Client, graph builder, simulation engine, fee optimizer, execution monitor, and pre-built templates. Python SDK: Mirrors the TypeScript SDK with idiomatic Python dataclasses and the same feature set. API server: REST endpoints for graph creation, simulation, and fee estimation. WebSocket support for real-time event streaming. Templates Pre-built graph patterns for common use cases: ParallelSwap: Multiple independent swaps in a single slot MultiHopSwap: Sequential swaps through a route with automatic dependency chaining BatchTransfer: Parallel token transfers to multiple recipients DCA: Dollar-cost averaging with interval scheduling ConditionalExecution: Branching logic based on on-chain state Stack Rust, TypeScript, Python. Solana web3.js, Express, WebSocket. MIT licensed.