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).
Notal turns markdown notebooks into long-running systems agents work from. Write the plan once with notal blocks; each block becomes an activity with a role, cycle, and dependencies. Agents pull current work through MCP, execute, and log results back into the same record. The queue empties itself. When the cycle returns, the work comes back. Four marketplace prompts ship today: repo health, post metrics, billing review, restaurant opening. Free for one notebook, $5/month for twenty.
Hey PH — Victor here, maker of Notal.
The pain: agents execute, but the plan dies in the chat. By the next run the context is gone and you rebuild the prompt from scratch. I was rebuilding the same repo-health prompt every Monday.
How it works: write the plan as a markdown notebook with `notal` blocks. Each block becomes an activity with a role, cycle, and dependencies. Notal exposes current activities through MCP. Your agent calls `activities_list_actionable`, runs one item, calls `activities_log`, and repeats until the queue is empty. When the cycle returns, the work comes back.
Differentiation: Notion and Heptabase have AI buttons. Obsidian is open but you assemble your own agent stack. Notal is the only notebook that is itself an MCP server — any agent (Claude, Cursor, LangGraph, Goose) connects the same way they connect to GitHub, but the resource is your operational plan.
If you try it: which of the 4 marketplace prompts (repo health, post metrics, billing review, restaurant opening) did you run, and did the agent interview build something usable?
We shipped the next piece of the agent loop: activities can now be claimed atomically by an agent, with a token, lease, and metadata like model, runtime, OS, and session. That means two agents should not accidentally work the same activity, and the dashboard can now show what is actively in progress, who/what is running it, and when it started.
We also added agent questions. If an agent gets stuck, it can ask a blocking question, the activity pauses, and I can answer from a global Questions panel without leaving whatever page I am on. Once the question is answered or dismissed, the activity can continue.
The marketplace also got a lot more concrete. It now has real notebook prompts across Security, Developer, Cloud, Finance Ops, Operations, and Marketing, with complexity labels and examples so people can see what an agent-run notebook can actually build.
The original idea was “the plan should not die in the chat.” This update makes that loop more operational: claim work, ask for human input, resume, log the result, repeat.
About Notal on Product Hunt
“Notes become living operations”
Notal was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #126 on the daily leaderboard. Notal turns markdown notebooks into long-running systems agents work from. Write the plan once with notal blocks; each block becomes an activity with a role, cycle, and dependencies. Agents pull current work through MCP, execute, and log results back into the same record. The queue empties itself. When the cycle returns, the work comes back. Four marketplace prompts ship today: repo health, post metrics, billing review, restaurant opening. Free for one notebook, $5/month for twenty.
Notal was featured in Productivity (655.7k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 325.2k products, making this a competitive space to launch in.
Who hunted Notal?
Notal was hunted by Victor Rojas. 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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Victor Rojas