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Wonk
Your brand as data. Enforced, not suggested.
Wonk is a macOS app that treats your brand as data, not a PDF. Colors, typography, voice, and components live as strictly validated structure. AI coding agents read your brand directly over MCP, so every session starts already knowing it. And everything they generate is checked for conformance before it's written: off-brand output is refused at the gate, not fixed by hand at 11pm. Enforced, not suggested. Build UI components, pages, and brochures that can't drift. Free to use.
Hi Product Hunt 👋
Every AI tool that claims to be "on-brand" works the same way: paste your guidelines into the context and hope. That's priming. It fails constantly, and if you've ever fixed an AI-generated deck at 11pm, you know exactly how.
Wonk takes a different position: compliance should be a property of the artifact, not the agent's good behavior.
How it works:
• Your brand identity lives as strictly validated JSON (colors, typography, voice, components, DESING.md), a real schema, not a PDF
• Coding agents read it over MCP, read-only
• Everything an agent generates is checked for conformance at write time: non-conformant output is refused before it exists
• Color matching is perceptual (CIEDE2000, ΔE threshold of 3), so "close enough to fool a human" isn't close enough
• Exports never hard-stop your work — they ship with a drift report so you always know exactly where anything deviates
It's a native macOS app. Your brand data stays yours.
I built this because the priming approach structurally can't work an instruction, the model can ignore isn't a guarantee. Enforcement is. Happy to answer anything about the architecture.
About Wonk on Product Hunt
“Your brand as data. Enforced, not suggested.”
Wonk was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #89 on the daily leaderboard. Wonk is a macOS app that treats your brand as data, not a PDF. Colors, typography, voice, and components live as strictly validated structure. AI coding agents read your brand directly over MCP, so every session starts already knowing it. And everything they generate is checked for conformance before it's written: off-brand output is refused at the gate, not fixed by hand at 11pm. Enforced, not suggested. Build UI components, pages, and brochures that can't drift. Free to use.
On the analytics side, Wonk competes within Design Tools, Developer Tools and Artificial Intelligence — topics that collectively have 1.3M followers on Product Hunt. The dashboard above tracks how Wonk performed against the three products that launched closest to it on the same day.
Who hunted Wonk?
Wonk was hunted by Akshata Srivastava. 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 Wonk including community comment highlights and product details, visit the product overview.
Akshata Srivastava