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Midfleet
Operational control for autonomous agent work
Midfleet gives teams operational control over autonomous agent work. From intent to completion, see ownership and scope, approvals and blockers needing action, handoffs as work moves, and evidence of completion. Now self-serve. Free plan, no credit card.
Hey Product Hunt — I’m Ahmed, founder of Midfleet.
Autonomous agents can move work forward, but the team remains accountable for the result. That creates a new operating problem.
When work crosses agents and people, someone still needs to be able to answer:
- Who owns the outcome?
- What is inside and outside the approved scope?
- Where is a decision or approval waiting?
- What is blocked, and who needs to act?
- Who owns the next handoff?
- What evidence supports completion?
We built Midfleet to make those answers visible from intent to completion.
Midfleet’s center of gravity is operational control. It goes beyond routing tasks, inspecting traces, or connecting agents to tools. It keeps ownership, scope, approvals, blockers, handoffs, and evidence visible around the outcome as work moves.
Today, Midfleet is available self-serve. You can start on the free plan without a credit card:
https://midfleet.ai/register?utm...
A concrete first test: take a GitHub epic or issue already queued in the Midfleet run queue from accepted to merge—while keeping the human owner, scope, approvals, blockers, handoffs, and completion evidence visible along the way.
If you work with agents today, where does control become weakest: ownership, scope, approvals, blockers, handoffs, or evidence?
I’ll be here throughout the launch to answer questions and learn from what you try.
About Midfleet on Product Hunt
“Operational control for autonomous agent work”
Midfleet was submitted on Product Hunt and earned 8 upvotes and 1 comments, placing #47 on the daily leaderboard. Midfleet gives teams operational control over autonomous agent work. From intent to completion, see ownership and scope, approvals and blockers needing action, handoffs as work moves, and evidence of completion. Now self-serve. Free plan, no credit card.
On the analytics side, Midfleet competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Midfleet performed against the three products that launched closest to it on the same day.
Who hunted Midfleet?
Midfleet was hunted by Ahmed Mashadani. 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.
For a complete overview of Midfleet including community comment highlights and product details, visit the product overview.
Ahmed Mashadani