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Radu-Raicea/README.md

Hi, Iโ€™m Radu ๐Ÿ‘‹

๐Ÿ’ป Building LLM Analytics at PostHog
๐Ÿค– Making AI behave (mostly)
๐Ÿšค Lake enthusiast & kayaker

Previously at:
๐Ÿš— Bolt โ€ข ๐Ÿ›’ Shopify โ€ข ๐Ÿ“ˆ DRW โ€ข ๐ŸŽฎ Ubisoft

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  1. Dockerized-Flask Dockerized-Flask Public

    Dockerized web app using NGINX, Flask and PostgreSQL

    Python 135 43

  2. Interesting-People-On-Medium Interesting-People-On-Medium Public

    Python script that finds interesting users from your Medium network to interact with

    Python 128 30

  3. PostHog/posthog PostHog/posthog Public

    ๐Ÿฆ” PostHog provides open-source web & product analytics, session recording, feature flagging and A/B testing that you can self-host. Get started - free.

    Python 29.9k 2k

  4. PostHog/posthog-js PostHog/posthog-js Public

    Send usage data from your web app or site to PostHog, with autocapture.

    TypeScript 460 197

  5. PostHog/posthog-python PostHog/posthog-python Public

    Send usage data from your Python code to PostHog.

    Python 49 48

  6. PostHog/llm-analytics-apps PostHog/llm-analytics-apps Public

    Node.js and Python examples for integrating LLM providers with PostHog's AI SDKs for observability and analytics

    Python 4 2