Hoplite deploys your local coding agent setup to the cloud, no reconfiguration needed. We migrate your sessions, MCP servers, dependencies, and CLIs during onboarding, so your agents pick up exactly where you left off. Run multiple agents in parallel without laptop crashes, git worktree wrangling, or port juggling. Instant previews of everything your agents build. Prompt from anywhere with iMessage.
Hey Product Hunt! 👋 Ryan here, co-founder of Hoplite.
We were previously building an agentic harness for financial markets, letting retail investors trade with AI. The product worked, but we never had founder-market fit. Our real passion was talking to founders and developers.
So we commercialized something we'd built internally: the tooling that let us actually deploy our $1.5M in OpenAI credits effectively. That became Hoplite. After spending months wrangling and shimming cloud coding providers we decided to build our own.
Your laptop can only crash so many times before you get sick of it...
Bence (my co founder) and I are both from Ireland 🇮🇪. We met in college & spent two years building projects and freelancing together, then interned at AWS (Bence) and Stripe (me). After that we were fed up building other people's visions and dropped out to build our own.
We're best friends & just want to make a product developers truly love.
Really like the direction here, especially the idea of taking an existing local agent setup and moving the whole environment to the cloud without forcing developers to rebuild everything from scratch. Running multiple coding agents in parallel is only going to become more common, and laptops are definitely not the ideal place for that scale :)
Wishing you both the best with Hoplite - excited to see where you take it! :))
Hey everyone! I'm Bence, a co-founder of Hoplite.
Hoplite is built out of an extreme passion for coding agents, and how we want to be a part of the journey in how they'll evolve over the next few months/years.
We believe that the number of agents that we run concurrently will grow exponentially - from less than a dozen now to thousands by the end of next year. Models are becoming more and more powerful, and yet the way in which we interact with them is firmly stuck in the past.
And so that's the DX problem we're trying to solve with Hoplite! We've spent the past couple of months building an experience that feels like a joy to use, and hope that you feel similarly!
(p.s. if you have any technical questions on how it works, I'll be around all day to answer 😁)
About Hoplite on Product Hunt
“Effortlessly deploy cloud software factories.”
Hoplite launched on Product Hunt on August 14th, 2026 and earned 117 upvotes and 7 comments, placing #7 on the daily leaderboard. Hoplite deploys your local coding agent setup to the cloud, no reconfiguration needed. We migrate your sessions, MCP servers, dependencies, and CLIs during onboarding, so your agents pick up exactly where you left off. Run multiple agents in parallel without laptop crashes, git worktree wrangling, or port juggling. Instant previews of everything your agents build. Prompt from anywhere with iMessage.
Hoplite was featured in SaaS (43.6k followers) and Development (6.1k followers) on Product Hunt. Together, these topics include over 56.2k products, making this a competitive space to launch in.
Who hunted Hoplite?
Hoplite was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Hoplite stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan