tokens&
Choose stack, claim perks, ship proof
tokens& launched on June 2, 2026 with 3 votes, #6,658 of 22,647 launches that month and more than 50% of that year's launches.
What it does
For builders: choose stack, claim perks, ship proof. For enterprises: see which adoption motions create real usage. tokens& turns an idea into a stack recommendation, starter kit, credits/perks, agent-ready build packet, and public proof. Enterprise teams use the same adoption graph across launches, events, docs, GitHub, agents, and API usage to know what actually converts builders.
Compare AI developer tools by docs, API fit, cost, and adoption evidence. Get a minimal stack, coding-agent Build Packet, matched credits, and public project proof.
Describe your app and get a source-labeled minimal stack, docs and API evidence, cost assumptions, MCP context for your agent, and a project page when you ship. Pick a stack, use credits, build with an agent, and publish proof. Developer distribution you can measure, from first touch to pipeline. Built for AI infrastructure, database, API, open-source, and developer-tool companies. 7 + verified Tokens& builders rank first. Until then, dated GitHub interest fills the list; docs and low-volume saves do not rank tools. Open a tool, copy an agent workflow, or claim a credit when it fits your build. Find tools, live events, and credits when they fit your build. Choose a project, tool, product,…from tokensand.com
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Flows2024 · flows.sh · ▲239If you’ve ever tried building onboarding or product adoption with Appcues, Chameleon, Userflow, WalkMe, or Usetiful, you’ve probably hit the same two problems: 1. Everything is rendered with JavaScript overlays 2. Customization is a nightmare A little backstory: When I was choosing an onboarding tool for my previous project, nothing matched what I needed. So I had to build my own. With help from IntroJS I built onboarding solution that I needed: Tooltips, Modals, custom CSS, waiting for interactions, and saving the state into the database. It worked… but it took way more time than it should…




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