Independent software studio
Our flagship, EntrepreneurGo, is a self-hosted workspace where AI agents — running through Claude Code, Codex or OpenCode — plan, build, review and test alongside your team, with people deciding what ships. Client platforms run on HydroGo, our Go product engine.
EntrepreneurGo runs planner, implementer, reviewer and tester agents on your projects through the coding CLIs you already use — Claude Code, Codex or OpenCode — while tasks, decisions and project memory stay shared with your team. People decide what ships.
Planner, implementer, reviewer and tester roles work on your projects through Claude Code, OpenAI Codex CLI or OpenCode — using each person's own account.
Today's module is built for software development. Modules for other kinds of work are being explored; their scope isn't decided yet.
We plan to use the Claude API to turn project context and task requirements into proposed acceptance criteria, implementation plans and decision summaries. This workflow is not part of the current beta. Coding agents currently run through Claude Code, Codex or OpenCode on each member's machine.
Built around Claude Code. In the current beta, agents run through Claude Code, Codex or OpenCode on each member's machine, and model sign-ins stay on that device.
Microservice, API, full-stack app or content platform — HydroGo generates the repetitive parts, compiles everything into one small binary, and runs anywhere from Kubernetes to shared hosting.
Measured on a 2 vCPU / 908 MiB host with PostgreSQL 15 and Redis 7, load sent from a separate machine over the public network. Details in the benchmarks below.
One binary with health, readiness and metrics endpoints, and load shedding that answers 503 with Retry-After instead of queueing forever. OpenTelemetry tracing comes built in.
$ hydro new orders --preset=minimal$ hydro servelistening on :8080 (single binary)
HydroGo is how we deliver client platforms quickly without trading away speed or ownership later.
Describe a domain once; typed models, repositories and routes are generated for you.
Generated code lives in generated/, yours in custom/. Upgrading the core leaves your business logic alone.
Auth, RBAC, forms with a durable mail spool, media, SEO, multi-tenancy and audit logs ship in the box.
SQLite, PostgreSQL and MySQL are all supported and tested, with migrations, health checks and one-command rollback.
A controlled before-and-after of HydroGo tuning: the same small host, the same method, run back to back. Throughput went up while CPU went down.
Latencies are end-to-end from the load generator, so they include the network round trip. These are reference measurements for this setup, not a capacity guarantee. The full report lives in a private repository — email us for a copy.
Every line below is either documented in HydroGo or measured in our benchmark report.
| Area | What HydroGo does | Source |
|---|---|---|
| Runtime | Compiled Go, deployed as one binary | Product documentation |
| Server-rendered UI | Type-safe Templ components with HTMX | Product documentation |
| Databases | SQLite, PostgreSQL and MySQL, with migrations and rollback | Product documentation |
| Deployment | Standalone server with automatic TLS, Docker, Compose and Kubernetes configs, or a CGI build for shared hosting | Product documentation |
| Throughput on a small host | About 1,480 cached and 729 dynamic pages a second on 2 vCPU and 908 MiB of RAM | Benchmark, 30 Sep 2026 |
| Behaviour under overload | Sheds excess requests with 503 and Retry-After while health, readiness and metrics stay reachable | Benchmark, 30 Sep 2026 |
| Security | Argon2id passwords, TOTP 2FA, progressive tarpit and bot checks on public forms | Product documentation |
| Admin | An Admin Studio built for non-technical owners | Product documentation |
Your data stays on servers you control. There is no hosted platform in between and no plugin marketplace to depend on.
Our benchmark host has 2 vCPUs and 908 MiB of RAM, and HydroGo served about 1,480 cached pages a second on it — with PostgreSQL and Redis running alongside.
No plugin ecosystem and no separate runtime to update. One binary, one upgrade path, with rollback.
Every product started as a tool we needed ourselves.
A cross-platform desktop app that finds silent pauses in recordings and cuts them, built on the open-source auto-editor engine.
Download the latest release on GitHubSet how quiet counts as silence and how much margin to keep, so natural breathing and cadence stay intact.
A lightweight terminal built for working alongside coding agents — fast to open, light on memory, out of the way.
Natural-sounding speech generation from text, designed to sit alongside our media tools.
Decoupled storefronts built for flash-sale traffic, with edge cart validation and a fast checkout.
Multi-channel editorial intake with source tracking, structured metadata and webhook syndication.
How a request travels, how code gets written and reviewed, how it stays secure, where it runs — and how both people and agents learn to work with it.
Every request runs through one compiled pipeline — no interpreter, no cold container and no external service in the hot path.
See the benchmarksThis is how we build today, using EntrepreneurGo's agent roles. The reviewer deliberately runs on a different model from the implementer, so every change gets a genuine second opinion.
See EntrepreneurGoProtection ships inside the core binary: bots are filtered, brute force is slowed down, credentials are hashed and every sensitive action is recorded.
Ask about a security reviewThe same code compiles to a container, a standalone server or a CGI binary for shared hosting. Migrations and rollback travel with it.
Explore HydroGoHuman guides explain the why, with context. Agent runbooks are zero-context, step-by-step instructions an AI agent can execute without guessing.
Ask for a walkthroughArdaLabs is a two-person team, deliberately small. We take on a handful of client projects alongside our own products.
Architecture, backend systems, products and client delivery are handled by our two-person team. Nothing gets lost between handoffs because there are almost none.
Performance numbers about our own products come from benchmarks we can reproduce, and we say how they were measured.
Compiled binaries, plain SQL, typed contracts. We save the experiments for the parts of a product your users actually notice.
Tell us what you're working on — the problem, the timeline and the team. We read every message and reply as soon as we can.