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).
Delegate to a colony of worker agents to execute, and run your marketing and sales playbook reliably. Local-first, route to top LLM models, and easy to use.
Hi Product Hunters!
We built OpenHive because we were tired of the gap between what AI promises and what it actually delivers in a GTM workflow.
Every founder I know has the same stack of tabs open: one for research, one for outreach, one for CRM, one for LinkedIn, one for email sequences. You hire an AI tool and it handles one piece. Then you hire another for the next piece. Then you spend more time managing the tools than doing the work.
We wanted something different. One system where you describe what you want done, and an AI agent actually does it end to end.
Here's how it works:
You tell a Queen Bee Agent what you need (find my ICP, build an outbound sequence, score my leads, monitor my inbox for replies). The Queen plans the work, breaks it into tasks, and delegates to a colony of specialized worker agents that execute in parallel. Each worker has its own browser, its own context, its own job. The Queen orchestrates everything, tracks progress, and delivers the result.
It runs on your machine. Your data stays local. You can watch it work or let it run in the background.
We're shipping this as a desktop app because we believe the most powerful AI agents should run where you work, not behind someone else's API wall.
Local, and extensible. You can build your own skills, your own workflows, your own agents.
We use it every day for the stuff that used to take us hours: ICP discovery, market mapping, LinkedIn prospecting, CRM enrichment, outbound sequences, reply triage, pipeline reporting. All of it runs as repeatable workflows instead of one-off manual tasks.
If you've ever thought "I wish I could just clone myself and have one of me do research while the other does outreach" - that's basically what we built.
Would love your feedback. Try it, break it, tell us what's missing.
The local-first angle is genuinely appealing since so many tools lock everything behind their own cloud. One thing I'd love to see is a way to export agent configurations as shareable templates, so teams can hand off a proven playbook to a new hire in minutes instead of rebuilding it from scratch.
honestly the local-first angle is what caught my eye here. one thing that would make this way more useful for me though, some kind of shared playbook library where you can browse and one-click import workflows other teams have built. building a decent marketing playbook from scratch still takes a lot of trial and error, so having a community aspect for that would basically cut the onboarding time down a lot.
The local-first approach here is genuinely refreshing, gives me confidence that my playbook data stays on my machine while still tapping into top models. Nice execution on something that could have easily felt overcomplicated.
Can i use this even before my idea is a reality? like for market research and create a demand?
Delegated my usual outreach workflow to it and the local-first setup meant everything ran smoothly without my API keys getting passed around. Routing between models for different tasks felt surprisingly fluid.
About OpenHive on Product Hunt
“GTM agents with sales playbook”
OpenHive was submitted on Product Hunt and earned 18 upvotes and 12 comments, placing #40 on the daily leaderboard. Delegate to a colony of worker agents to execute, and run your marketing and sales playbook reliably. Local-first, route to top LLM models, and easy to use.
OpenHive was featured in Productivity (656.2k followers), Sales (21.9k followers) and Marketing (466k followers) on Product Hunt. Together, these topics include over 233.3k products, making this a competitive space to launch in.
Who hunted OpenHive?
OpenHive was hunted by Vincent Jiang. 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 OpenHive stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Vincent Jiang