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zemlyansky

22 karma · joined December 30, 2018

Building open-source tools for data analysis and modeling. GitHub, Twitter: zemlyansky
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zemlyansky··on OpenJev
is it just jsonformer / guidance (2023) + cache? what is this hype about?
zemlyansky··on I refused to train the AI that could replace me
Would we have such a great think piece if the role offered not $37 an hour but $370?
zemlyansky··on c100
tool storage -> egpu dock
zemlyansky··on Show HN: The Stack, a Clay sculpture that writes poems through Wi-Fi [video]
thanks for sharing! it would be interesting to see more of such objects in the wild. living their own weird lives. a cheap solar panel should make it quite autonomous
zemlyansky··on Show HN: Free, in-browser PDF editor
you're likely a founder or employee posting about your commercial product. and what you post can be classified as misleading commercial practice. so in theory, yes. in practice - who knows. your website copy also claims: "no signup required" which is false, don't you think?
zemlyansky··on Show HN: Free, in-browser PDF editor
this doesn't make it a free editor. in the EU, you could probably be sued for using that wording: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELE...
zemlyansky··on Show HN: Free, in-browser PDF editor
"You've used all 3 free downloads this month" much free very no signup
zemlyansky··on Shai-Hulud malware attack: Tinycolor and over 40 NPM packages compromised
Would strict containerization help here? (rootless, read-only partial fs access, only the necessary env variables passed, etc)
zemlyansky··on Show HN: Portable Giant File Viewer
A browser-based alternative made with JS and streams: https://statsim.com/preview/
zemlyansky··on Guesstimate – A Spreadsheet for things that aren't certain
I'm developing a similar open-source app for statistical modeling and inference in the browser: https://statsim.com. You can create probabilistic models and then infer their parameters using algorithms such as MCMC or Hamiltonian Monte Carlo. The app is still in beta but it might be useful. Some models: https://github.com/statsim/models