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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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DeepanshuPal/README.md

Deepanshu Pal

GTM engineer working at the intersection of AEO, agentic commerce, and marketer-in-the-loop systems.

I build small, useful tools that turn a market insight into something testable: a benchmark, an audit, a data product, or an operating workflow.

  • marketerloop - human-approved agentic workflows for marketers
  • agent-ready - audit an ecommerce store for shopping-agent readiness
  • am-i-cited - open-source AEO and LLM visibility tracking
  • compute.cafe - a live GPU rental pricing index

Also contributing fixes to the agent, voice AI, and data tools I use.

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  1. agent-ready agent-ready Public

    Audit any ecommerce store for AI shopping-agent readiness

    Python

  2. marketerloop marketerloop Public

    Marketer-in-the-loop agentic workflows. Templates as folders, BYOK, human approval on every word.

    Python

  3. voice-router voice-router Public

    One OpenAI-compatible API in front of every STT, TTS, and LLM provider. Route each call by cost, latency, or benchmark score. BYOK, no lock-in.

    Python

  4. compute-cafe-data compute-cafe-data Public

    The open data feed behind compute.cafe - live on-demand GPU cloud prices across 60+ providers, refreshed hourly, served as plain JSON.

    Python