Alternatives

Products that do what BigQuery dataset: 22M FCC comments on net neutrality does

1. 1FF
   Fight for Net Neutrality with slowlane.js▲23

   2014 · github.com

2. 2SS
   SplitSearch – Simultaneously search conservative and liberal news orgs▲84

   2020 · splitsearch.netlify.app

3. 3HN
   Hacker News Comments▲189

   2012 · hncomments.nathancahill.com

4. 4BI
   Buzzngo.io – Real-time public polls using RethinkDB▲60

   2018 · buzzngo.io

5. 5
   July 12th Net Neutrality Widget▲83

   Simulate a slow internet to save the internet July 12th

   2017

6. 6AT
   A tool to compare news from liberal and conservative sources▲61

   2017 · unitethesefuckers.com

7. 7VT
   Visualizing the ACLU Twitter matches as campaigns▲10

   2017 · match.patronage.org

8. 8CC
   Collapse Comments on Hacker News▲93

   2016 · chrome.google.com

9. 9AD
   A decentralized index of banned users and where to find their content▲74

   2018 · beforetheban.com

10. 10CI
    CommentBox.io – a responsible alternative to Disqus▲64

    2018 · commentbox.io

11. 11SW
    See what the internet thinks about any topic, based on Google queries▲46

    2016 · thehivemind.online

12. 12AP
    A political news aggregator you can comment on▲41

    2020 · newscomment.us

13. 13TA
    Tripartisan – an echo-resistant political news aggregator▲42

    2017 · tripartisan.io

14. 14HN
    Hacker News Ranked by Comment/Score Ratio▲54

    2017 · paradite.github.io

15. 15DO
    Dataset of Sarcastic HN Comments▲11

    2021 · github.com

16. 16TF
    Twitter for Debates▲18

    2011 · barkles.com

17. 17DC
    Decentralized Comment Hosting Powered by IPFS▲30

    2021 · komento.host

18. 18RE
    Roundtable – Estimating survey results in seconds▲7

    Recent academic work ([1], [2]) has suggested that LLMs can effectively simulate different Internet subpopulations. For example, you may ask ChatGPT to emulate being a high school teacher explaining Newton’s laws of physics. Building upon this, we created Roundtable, a platform that uses LLMs to predict how people will respond to any arbitrary survey question. To do so, we needed to first reduce bias arising from GPT’s training procedure. Because these models are primarily trained on Internet data, they can be heavily skewed towards the demographics of heavy Internet users (e.g.,…

    2023 · roundtable.ai

19. 19EB
    Electoral – Build and Explore Twitter Lists▲10

    2015 · electoralhq.com

20. 20FN
    Filter – News from Twitter Communities▲17

    2015 · filter.news

21. 21MS
    Mob – Self Hosted Polling▲12

    2019 · github.com

22. 22FS
    FeelHN - Sentiment analysis for HN comments [Stripe hackathon project]▲22

    2012 · chrome.google.com

23. 23TH
    The HN effect on Dictionary Domains (traffic and revenue numbers)▲12

    2014 · blog.justinthiele.com

24. 24HR
    HN Recommended – a curated list of HN commenters' opinions▲7

    2020 · hnrecommended.com

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