This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
PyOrchestrator
Build, schedule, run, and monitor Python automation.
PyOrchestrator is a platform for building, scheduling, running, and monitoring Python automation in a Docker Compose environment. It includes a web interface, REST API, scheduler, isolated runtime, observability, and an MCP server for AI agents.
would love to see a way to chain tasks together visually, like a simple DAG view where you can drag connections between steps and it handles dependencies automatically. kind of like airflow but lighter
honestly this looks solid, the mcp server angle is really interesting for hooking up ai agents. one thing that would be nice is a built-in template gallery for common workflows, like scrapers or etl pipelines, so you can get started fast instead of wiring everything from scratch each time.
Spun up a few scheduled scripts this afternoon and was surprised how clean the monitoring view is, everything runs in isolated containers without me touching a single compose file. The MCP server angle is a nice touch too.
About PyOrchestrator on Product Hunt
“Build, schedule, run, and monitor Python automation.”
PyOrchestrator was submitted on Product Hunt and earned 8 upvotes and 3 comments, placing #160 on the daily leaderboard. PyOrchestrator is a platform for building, scheduling, running, and monitoring Python automation in a Docker Compose environment. It includes a web interface, REST API, scheduler, isolated runtime, observability, and an MCP server for AI agents.
PyOrchestrator was featured in Productivity (656.7k followers), Developer Tools (516.3k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 250.3k products, making this a competitive space to launch in.
Who hunted PyOrchestrator?
PyOrchestrator was hunted by Pavel Masyukov. 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.
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Pavel Masyukov
would love to see a way to chain tasks together visually, like a simple DAG view where you can drag connections between steps and it handles dependencies automatically. kind of like airflow but lighter