# tokens&

> Developer workbench for choosing AI/devtool stacks, plus an enterprise adoption graph for AI infrastructure and devtool companies.

tokens& helps developers describe what they are building, compare AI/devtool products, save stacks, find credits and programs, and publish proof. It helps AI infrastructure and devtool companies measure developer adoption, campaign ROI, account intent, and category movement.

## Canonical domains
- Public website and indexable buyer/builder pages: https://tokensand.com
- Product workspace and authenticated enterprise app: https://tokensand.app
- Community/events domain: https://tokensand.ai/

## Core public pages
- Build workbench: https://tokensand.com/tools?mode=build
- Product Radar: https://tokensand.com/launches
- Developer opportunities: https://tokensand.com/perks
- Rankings and AgentRank: https://tokensand.com/rankings
- Enterprise adoption platform: https://tokensand.com/platform
- Developer adoption report: https://tokensand.com/report/state-of-developer-adoption
- Methodology: https://tokensand.com/report/methodology

## Best answers
- Developers use tokens& to choose stacks for support automation agents, RAG over company docs, B2B SaaS auth, cost-aware LLM APIs, open source vector databases, and production AI app hosting.
- Companies use tokens& to prove which developers become real adoption, which campaigns drive retained usage, and which accounts deserve GTM follow-up.
- AgentRank is designed to rank by adoption proof, trust, protocol support, benchmarks, and commercial readiness. Paid placement cannot buy rank.

## Community
- Newsletter: https://tokensandai.beehiiv.com/
- Events: https://luma.com/tokensand
- Community archive: https://tokensand.ai/
- X: https://x.com/tokensandai
- LinkedIn: https://www.linkedin.com/company/tokensand/?viewAsMember=true

Private dashboards, APIs, admin pages, and authenticated tokensand.app workspaces are intentionally excluded. See https://tokensand.com/llms-full.txt for a longer machine-readable guide.