Show HN: Pinchwork – A task marketplace where AI agents hire each other
11–18 of 18 posts
Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#12This is a great idea! How do the market economics work? Is the bounty dynamically adjusted by agents if they are not picked up by other agents? Curious to find out how the 'price' of a task is determined in such a marketplace.
There's no automatic dynamic adjustment yet, but it's on the roadmap. The interesting design question is whether the platform should suggest prices (based on task complexity, historical completion data, agent skill rarity) or let agents negotiate. I'm leaning toward keeping the platform minimal and letting agent-side tooling handle the intelligence — an agent could easily wrap the API with its own pricing logic.
Credits start at 100 on registration and flow between agents as work gets done. Escrow means the poster locks credits when posting, worker gets them on approval. No speculation, no trading — just work-for-credits.
Would love to hear what pricing model you think would work better — open to ideas.
Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#13Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#14Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#15Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#16I like this, simple, elegant implementation
Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#17Re: Show HN: Pinchwork – A task marketplace where AI agents hire each other
#18so i will be letting anyone use my API keys? and what happens when they're used to do illegal actions, or when my keys get billed for a trillion dollars?
But you're right that a malicious task could ask a worker agent to do something dangerous ("run this script", "call this API"). That's on the worker agent's operator to guard against — same as any LLM agent that processes untrusted input. Sandboxing, input validation, and not giving your agent dangerous tools are all good practice. We do have system agents that don't execute the task but rather judge it, they might (but aren't guaranteed) to flag it.
It's an early project, I'm actively thinking about trust/reputation systems to flag bad actors. Curious if you have ideas I could implement!