HyperTek

HyperTek is a Solana data infrastructure company founded in February 2025 with the tagline "Data infrastructure as code." The team set out to solve one of the most persistent friction points in Solana application development: the weeks of boilerplate engineering required before developers can begin building meaningful product features. With average engineering and infrastructure costs exceeding $100,000 per project, most teams spend enormous resources wiring up blockchain data before writing a single line of business logic. HyperTek's answer is a managed data layer that eliminates that upfront cost.

From Hyperstack to Arete

HyperTek launched publicly in late 2025 with a product called Hyperstack, described as a way to "join your onchain accounts any way you want and stream the data straight to you." The core promise was simple: define a single data schema, and the infrastructure handles everything else—account decoding, indexing, streaming, and transformation. Developers using Hyperstack could integrate complex protocol functionality—such as Pump.fun pool queries and transaction mutations—in approximately four lines of code.

By early 2026, the product had evolved into its current form under the name Arete, available at arete.run, described as an "Agent-first Solana SDK." The pivot reflects a broader trend in the Solana ecosystem: AI agents are increasingly becoming first-class application developers, and they need different primitives than human developers. Where Hyperstack focused on developer ergonomics, Arete explicitly targets both human developers and AI agents building on Solana.

What Arete Does

Arete is a declarative data layer for Solana. Rather than polling RPC nodes, building custom indexers, or writing ETL pipelines, developers and agents declare the data they need and Arete handles delivery via WebSocket stream.

The platform arrives pre-integrated with context for more than twelve major Solana programs, including Raydium, Kamino, Pump.fun, Jupiter, Magic Eden, and Drift. This means the heavy lifting of parsing program accounts, resolving Program Derived Addresses (PDAs), and correlating instruction arguments across program boundaries is already done. Developers tap into this library rather than reconstructing it from scratch.

The workflow follows four stages:

• Ingest: Arete captures program context from Solana via a Yellowstone gRPC integration, processing transactions and account states as they confirm.
• Shape: Users define a stack—a specification written in a declarative Rust DSL that describes the entities they care about, how fields should be populated, and which population strategies to apply.
• Run: Arete's cloud infrastructure compiles the stack, runs it against the live blockchain, and manages all state updates server-side.
• Emit: Clients receive typed, schema-validated JSON via WebSocket in real time.

The primary abstraction is the stack, a deployed pipeline subscribing to on-chain events across one or more programs. Stacks define entities—structured representations of on-chain state with typed fields and primary keys. Each field uses a population strategy to control how it updates: options include SetOnce, LastWrite, Append, Sum, Count, UniqueCount, Max, and Min. Computed derived fields and cross-account aggregations are also supported.

Stacks are not limited to a single program. A single stack can pull data from multiple programs into one unified entity set—effectively creating a live query across Solana that stays current as transactions confirm.

Developer Interface

Arete generates type-safe SDKs for three environments:

• React: hooks that expose live entity state, suitable for frontend dashboards and dApps
• TypeScript: async stream consumption for Node.js backends and Telegram bots
• Rust: async client support for high-performance services

SDKs are generated from the stack specification, meaning the client surface matches exactly the data shape the developer declared. Installation is available via npm, npx, or Cargo. The generated client handles WebSocket reconnection automatically, resuming subscriptions after any interruption.

For AI agents, Arete goes further: an agent describes its intent, and the platform generates a minimalist, task-shaped SDK surface—stripping out context the agent does not need. According to HyperTek, this eliminates approximately 72 percent of the pre-product token expenditure that agents typically burn through during retrieval, context reconstruction, and data transformation.

Data access follows two default patterns: a list view returning all entities as arrays, and a state view fetching a single entity by primary key. Custom views with specialized sorting, filtering, and aggregation are available beyond these defaults.

Use Cases

The platform is suited for a range of Solana-native applications: trading systems that need real-time pool and position data, Telegram trading bots, protocol dashboards, DeFi aggregation layers, wallet agents, and autonomous protocol copilots. Pre-integrated support for major DeFi programs means common use cases—tracking Raydium liquidity pools, monitoring Kamino lending positions, watching Pump.fun bonding curve launches—require no custom parsing work.

Team

HyperTek's founding team brings a mix of traditional finance and Web3 technical experience:

• Harry, co-founder and CEO, has been active in crypto entrepreneurship for over a decade with a fintech background.
• Adrian, co-founder and CTO, is a Silicon Valley engineer with experience in hardware, AI systems, and on-chain development.
• Tom, COO, brings ten or more years in product management and traditional finance operations.
• Macey Bluebell, CMO, has specialized in Web3 marketing since 2016.
• Vim, full-stack engineer, has scaling experience from high-growth startup environments.

Token and Audit Status

HyperTek has not announced a token as of mid-2026. No token contract addresses appear in publicly available sources, and there is no evidence of an airdrop, token sale, or governance token program. The project is infrastructure-focused and appears to be pursuing a subscription or API-access model, though specific pricing has not been disclosed publicly.

No third-party security audit reports have been published for Arete or the earlier Hyperstack product. As a data infrastructure layer that delivers read-only streams to clients, the attack surface differs from that of on-chain smart contract protocols, but the absence of public audit documentation is worth noting for teams evaluating the platform for production use.

Solana Fit

HyperTek occupies a specific and underserved position in the Solana developer tooling stack, sitting between raw RPC access and higher-level application frameworks. Its Yellowstone gRPC integration places it close to the validator layer, enabling low-latency streaming that polling-based solutions cannot match. The explicit focus on AI-agent workflows is well-timed: as more Solana protocols integrate autonomous agents for trading, rebalancing, and liquidity management, tooling that reduces the context burden on those agents becomes critical infrastructure.

With Arete in beta as of April 2026, HyperTek's trajectory shows a team willing to iterate on its initial product thesis in response to ecosystem signals—pivoting from general developer tooling toward the emerging AI-agent use case that is becoming one of Solana's highest-growth verticals.