
Uitoolbar
Figma visual design for your coding agents
About
UiToolbar is a browser extension + CLI tool for direct visual design with IDE bridge integration. Edit directly on your interface in real-time and send structured context to Cursor, Claude Code, or any coding agent — directly from the browser.
You can use your codebase visually on the frontend, pull assets and design tokens from inspiration sites, and repurpose them into code blocks or context for your coding agents.
Ready to launch?
Submit your product and get discovered by builders and creators worldwide.
Launch NowFounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
AI is a great example of that in terms of like the number of messaging or inquiries a user inputs so that takes computational resource... for certain business cases especially those like really high resource intensive things like AI these kind of models work really well.
AI and Compute-Heavy Features Are a Natural Fit for Consumable Pricing
Consumable pricing aligns cost with value for features that have real marginal costs — particularly AI inference. Selling a pack of 25 AI generations maps the pricing to the compute consumed, avoids underpricing heavy users on a flat subscription, and gives light users a low-commitment entry point. For any AI-powered app feature, a consumption-unit model is worth testing alongside or instead of subscription access.
we actually recently just wrote a bill of rights for our free user because it so easy to chip into that... location history and place alerts they must be free doesn't mean we can't move the pay wall a bit but like real value there no deceptive tactics around and dark patterns
Write a free user bill of rights before you scale
Life360 wrote an internal constitution that enshrines which features must always be free — location history and place alerts chief among them — and bans dark patterns, deceptive UX, and interruptions to the core job-to-be-done. The document exists because at scale it is easy to chip away at free user value one small product decision at a time, each justified by an A/B test, without noticing you have crossed a line. Having it written down forces every PM to explicitly justify any erosion.
There's a play for whatever you're stuck on.
Read all 2722 playbooks
Comments
0