kvinogradov

8 ms·

1. 31.▲
   Show HN: Fastest-growing OSS startups for every quarter since Q2 2020(github.com)

   5 points by kvinogradov 1y ago|0 comments
2. 32.▲
   by kvinogradov 2y ago

   In your opinion, which metrics could be better than # downloads to evaluate PyPI packages at scale?
3. 33.▲
   by kvinogradov 2y ago

   Totally agree! Actually I had outlined similar ideas and even an example (Pydantic) in https://news.ycombinator.com/item?id=42353209 In a nutshell: - Algorithmic does not always mean automatic. An algorithm can have a human
4. 34.▲
   by kvinogradov 2y ago

   Yes, that would be a very useful risk metric! Assuming access only to public APIs (GitHub, package managers, etc.), how would you define the bus factor in terms of data? I am thinking about # unique contributors over the last X years. It&#x
5. 35.▲
   by kvinogradov 2y ago

   Thanks! 1) Yes. My plan is to continue iterating on this approach and publish more data later, including projects and some other inputs (PyPI, etc.) 2) Maybe. I prefer the full transparency and have planned to publish the code too, but some
6. 36.▲
   by kvinogradov 2y ago

   It does not seem that Randall Munroe (xkcd) accepts public donations, but he recently released his own book, which can be bought at https://xkcd.com/what-if . I've just ordered.
7. 37.▲
   by kvinogradov 2y ago

   While some mistakes are probably inevitable (like it happened with Tea protocol), sourcing a wide range of metrics from multiple sources, fixing bugs and building reasonable guardrails can prevent them from repeating. For instance, given th
8. 38.▲
   by kvinogradov 2y ago

   There are some relevant tools for this, such as https://thanks.dev . While it doesn't work as a usage-based billing, at least it provides a way to fund all dependencies. However, the issue is that most organizations relying
9. 39.▲
   by kvinogradov 2y ago

   Exactly! The idea is to use available data for evaluating the value and risk of OSS and then allocate donations accordingly to the wide algo-based systemic index, not to a narrow set of manually picked projects (usually large or popular one
10. 40.▲
    by kvinogradov 2y ago

    Hey HN community, thanks a lot for your great feedback and actionable critique! It was a simple MVP for personal OSS donations, and I have many considerations on how to evolve it and especially to prevent it from becoming a victim of Goodha
11. 41.▲
    by kvinogradov 2y ago

    Thanks. That's a start experiment - I am going to donate more using this approach in the future and hope that other people will join me in this non-profit initiative. While any particular donation I made to OSS maintainers is small, it
12. 42.▲
    by kvinogradov 2y ago

    Thanks. There is no ideal set of metrics for value, but some measurable ones correlate with it. The more reasonable inputs are accounted for, the harder it is to game the system. Regarding is-odd, it would unlikely receive a high score even
13. 43.▲
    by kvinogradov 2y ago

    This spending comes from my personal pocket and does not even create any tax relief. I just think that Open Source is important and want to efficiently support it.
14. 44.▲
    by kvinogradov 6y ago

    Contributors are important for open source startups, but they were barely measured (usually — only # total contributors). Why not use MAU, retention, LTV and other classic user metrics for them? The article introduces this fresh approach an
15. 45.▲
    Open Source Contributors Analysis and Deep Dive into OS Databases(medium.com)

    4 points by kvinogradov 6y ago|2 comments
16. 46.▲
    Fastest-growing open-source startups in Q4 2020(runacap.com)

    3 points by kvinogradov 6y ago|0 comments
17. 47.▲
    by kvinogradov 6y ago

    I had been using Google Chrome for ages and permanently tried various extensions and other browser projects. Only Sidekick managed to become a new default browser for me due to its incredible speed and UX.
18. 48.▲
    by kvinogradov 6y ago

    I have collected Github data on all repos with 1K+ stars and share some insights on programming languages and the fastest-growing open-source startups in Q3 2020. We even made the index of such companies and plan to update it every quarter.
19. 49.▲
    Open Source Benchmarks for Languages and 20 Fastest-Growing OSS Startups (Q3)(medium.com)

    2 points by kvinogradov 6y ago|2 comments
20. 50.▲
    Open Source Growth Benchmarks and the 20 Fastest-Growing OSS Startups in Q2 2020(medium.com)

    5 points by kvinogradov 6y ago|2 comments