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Comment by sandGorgon | Hacker News Reader

This is a PERFECT usecase for Kickstarter. It makes me sad that this is a blog post that made it number 1 on HN with vast readership with open pursestrings.. yet there is not a campaign fundraising link.

Use Kickstarter or Plasso to sell a pypy pro license - its so much easier for companies to pay invoices than to donate.

If nothing else, I would pay for an official conda pypy package which works seamlessly with pandas and blas.

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I think they're looking more for corporate backers. They're probably very aware that their GILless PyPy will not run many of the programs and libraries out there that are not written to be thread-safe. And when the GIL is in place, there's really not much reason to write thread-safe code. At the very least you won't notice much when you're writing code unsafe code.

So I assume they're not doing a kickstarter to prevent the following from happening:

1. The internet at large will assume they're going to get a GILless PyPy that can actually run their code.

2. A separate PyPy is released that doesn't run their code.

3. People are angry that they didn't get what the thought they were gonna get, like what often happens with kickstarter backed projects.

4. With no coporate support and waning public interest due to the uselessness of a GILless PyPy, the separately released project becomes unmaintained.

> yet there is not a campaign fundraising link.

Did you read the article? They said in the article they aren't asking for individual donations at the moment:

>> we would like to judge the interest of the community and the commercial partners to make it happen (we are not looking for individual donations at this point)

Plus I'm sure they will consider using Kickstarter when the time comes.

Cash is one objective way to discern interest.

Maybe selling packaging is a good idea.... that said, kickstarter does not work in any jurisdiction we can use.

They can raise funds on their own for example: $67126 of $105000 (63.9%) for py3k in pypy

And for STM in pypy: 2nd call: $59080 of $80000 (73.9%)

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