~/talk

Keynote: The Business of Open Source

Talkat PyData DC 2018 · on Friday, 2018-11-16· [open-source]
slides:none on file

Argues that open source succeeds or fails on concrete economics not slogans, citing SciPy hits 1.0 after 17 years and NumPy ~700 contributors as evidence of chronic underfunding. Describes fundraising experiments — a DVD yields ~$5k, a book raises ~$90k — and company-building: Anaconda/Conda and Continuum raise $2.25M and later return 6x to investors. Proposes funded teams and QuantSight-style labs to hire 15–30 people to maintain core libraries.

AI-written summary · about

  1. 0:00Open source community welcome
  2. 1:25Two decades in open source
  3. 6:38Tragedy of open source commons
  4. 12:11Profit and cooperation tools
  5. 19:07Academia to entrepreneurship
  6. 25:46Early funding experiments
  7. 30:23Non-profit and commercial orgs
  8. 36:20Fundraising and business models
  9. 41:57Team building and sustainability
  10. 47:50QuantSight and future plans
  11. 51:16Q&A: Funding libraries
  12. 53:28Q&A: Reducing duplicate efforts
  13. 54:30Q&A: Cloud services sustainability
  14. 56:39Q&A: Academic incentives
  15. 58:50Q&A: Open data future
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