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whetū
Opinionated, zero-config cross-shell prompt written in Zig
Your prompt runs before every command, so whetū renders in about 2 ms. One compiled binary, no config file, nothing to theme, nothing to tune — the same curated prompt for everyone. Git branch, state and status. Toolchain versions for 39 languages. A syntax-highlighted history picker on the up arrow. Written in Zig, every disk probe running at once, so a render costs what its slowest one costs. No network, no telemetry, no account. macOS and Linux, on fish, bash and zsh.
Hey Product Hunt 👋
I built whetū for myself and now use it every day.
The goal was one zero-config tool covering what I'd been using starship and atuin for at the same time: a fast prompt, and a shell history I can actually search. One compiled binary, no config file, nothing to theme, nothing to tune.
It's written in Zig 0.17. Every module that reads the disk runs at the same time, so a render takes about as long as its slowest probe — roughly 2 ms in a plain directory. In an 8000-file monorepo the whole prompt costs about what git status costs on its own.
History lives on the up arrow: it filters as you type, opens scoped to the directory you're in, and syntax highlights each command so a long line reads at a glance. No account, no sync, no network — your history is one file on your disk.
Happy to answer any question :).
About whetū on Product Hunt
“Opinionated, zero-config cross-shell prompt written in Zig”
whetū was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #136 on the daily leaderboard. Your prompt runs before every command, so whetū renders in about 2 ms. One compiled binary, no config file, nothing to theme, nothing to tune — the same curated prompt for everyone. Git branch, state and status. Toolchain versions for 39 languages. A syntax-highlighted history picker on the up arrow. Written in Zig, every disk probe running at once, so a render costs what its slowest one costs. No network, no telemetry, no account. macOS and Linux, on fish, bash and zsh.
On the analytics side, whetū competes within Productivity, Open Source, Developer Tools and GitHub — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how whetū performed against the three products that launched closest to it on the same day.
Who hunted whetū?
whetū was hunted by Davy Duperron. 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 whetū including community comment highlights and product details, visit the product overview.