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).
Bench is a native Mac video editor built for AI agents through MCP. Finally models are capable of doing the grunt work of sliders and button pressing. Now you can focus on the creativity. Built the ground up for agent gets precise editing tools, this is an agent first editor. Local rendering using fast swift and metal frameworks allows for NLE class colour adjustments, video formats, framing and audio fades and more. Finish in Bench or export to Final Cut or Resolve.
I built Editor Harness after a hackathon idea and seeing models finally be good enough to do some of the more complex and tedious work for editing. The idea is simple, spend less time on repetitive editing and more time shaping the story and being creative.
I’ll be adding features throughout this week while you’re trying it during the free trial, and I’d love your feedback to help shape what comes next.
You can start with the free trial, then get your first paid month at a discount of only £1.
What’s one part of your editing workflow you’d most like help with? Let me know in the comments and thanks for giving it a try!
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About Bench on Product Hunt
“Your AI agent edits video. You stay creative.”
Bench was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #6 on the daily leaderboard. Bench is a native Mac video editor built for AI agents through MCP. Finally models are capable of doing the grunt work of sliders and button pressing. Now you can focus on the creativity. Built the ground up for agent gets precise editing tools, this is an agent first editor. Local rendering using fast swift and metal frameworks allows for NLE class colour adjustments, video formats, framing and audio fades and more. Finish in Bench or export to Final Cut or Resolve.
Bench was featured in Mac (103.7k followers), Productivity (661.2k followers), Artificial Intelligence (479.1k followers) and OpenAI Day (39 followers) on Product Hunt. Together, these topics include over 295.7k products, making this a competitive space to launch in.
Who hunted Bench?
Bench was hunted by Amar. 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 Bench stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Amar
Hey Product Hunt 👋
I built Editor Harness after a hackathon idea and seeing models finally be good enough to do some of the more complex and tedious work for editing. The idea is simple, spend less time on repetitive editing and more time shaping the story and being creative.
I’ll be adding features throughout this week while you’re trying it during the free trial, and I’d love your feedback to help shape what comes next.
You can start with the free trial, then get your first paid month at a discount of only £1.
What’s one part of your editing workflow you’d most like help with? Let me know in the comments and thanks for giving it a try!