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tutask
Visual task graphs, operate like mindmap, AI-readable JSON
Tutask breaks a goal into a dependency graph — what blocks what, where the critical path runs, and what you can start right now (nodes with all prerequisites done get a golden glow). Switch to a timeline view by deadline. Local-first, keyboard-driven, and every goal is plain schema-validated JSON your AI agents can read and write directly.
👋 Hey Product Hunt!
I built Tutask because every to-do app I tried lied to me about one thing: everything looks equally doable in a flat list. But real goals aren't flat — step B can't start until A is done, some tasks block five others, and most of your "todos" aren't actually actionable yet.
So Tutask makes that structure visible. You break a goal into a dependency graph (DAG):
🟡 Golden glow = all prerequisites done → this is what you can work on next
🔴 Red badge = past deadline
🗓 One click flips the same data into a timeline view by deadline
Two things I care about most:
1. Visual for humans. Auto-layered layout, status colors, collapsible subtrees, and keyboard-first editing (Tab = next step, Enter = parallel task). Graphing is genuinely faster than outlining.
2. Structured for AI. Every goal is a schema-validated JSON file (nodes + edges). That means your AI agents and scripts can read and write tasks, wire up dependencies, and change status directly in the file — no clicking through a UI. Humans read the graph, AI edits the data, both sync through the same file.
It's truly local-first: pure front-end, single file, your data never leaves your machine (localStorage, or bind a local goals/ directory in Chrome/Edge).
It's free and the source is open. I'd love your feedback — especially on the AI-editable-JSON angle, since that's where I think this goes next. What would you want your agent to do with your task graph? 🙏
About tutask on Product Hunt
“Visual task graphs, operate like mindmap, AI-readable JSON”
tutask was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #157 on the daily leaderboard. Tutask breaks a goal into a dependency graph — what blocks what, where the critical path runs, and what you can start right now (nodes with all prerequisites done get a golden glow). Switch to a timeline view by deadline. Local-first, keyboard-driven, and every goal is plain schema-validated JSON your AI agents can read and write directly.
On the analytics side, tutask competes within Productivity, Task Management and GitHub — topics that collectively have 781.1k followers on Product Hunt. The dashboard above tracks how tutask performed against the three products that launched closest to it on the same day.
Who hunted tutask?
tutask was hunted by George Guo. 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 tutask including community comment highlights and product details, visit the product overview.
George Guo