Alternatives
Products that do what HackerMoods – Trend analysis of HN sentiment does
- 1FS
2012 · chrome.google.com
- 2HT
2011 · hntrends.jerodsanto.net
- 3CB
2014 · kolinko.github.io
- 4HG
2019 · hncynic.leod.org
- 5HC
2017 · hackerhunt.co
- 6IM
2015 · github.com
- 7HC
2016 · hnchat.com
- 8HT
2016 · hnlive.tk
- 9PN
2017 · sentinewsmob.ml
- 10SS
2014 · sentimentsearch.com
- 11HT
2018 · hn.textalytics.io
- 12HN
2011 · hn.gethifi.com
- 13AT
Hi everyone, we developed a tool that can easily tell you the overall sentiment of a message based on a word. For now it’s hacker news only but we think this thing has potential. Whether you’re a startup, solopreneur or product manager, you can track trends with it. We are also planning to add predictive tools and real time analysis. Operationally this tool is a lot cheaper than Sprout Social or other similar solutions on the market. No sign-up required. Just type and see results. I'd love your feedback on the tool's usefulness and any ideas for improvement.
2024 · classysoftware.io
- 14TS
2014 · stats.timgallant.us
- 15HS
I built an API that extracts entities from Hacker News comments and classifies sentiment towards them as positive, negative, or neutral. It also classifies overall comment sentiment and assigns each entity a label (person, location, date, technology, organization, other). 505k+ comments, Oct 31 - Present. Here's the leaderboard: LOVED: - Steve Jobs: 44% positive, 7% negative - Linus Torvalds: 43% positive, 5% negative - Gabe Newell: 34% positive, 8% negative MID: - Bill Gates: 22% positive, 8% negative - Tim Cook: 15% positive, 30% negative - Bezos: 12% positive, 18% negative HATED: -…
Dec 2025 · docs.hnpulse.com
- 16HS
2013 · gabrielecirulli.github.io
- 17HN
2020 · eliot-jones.com
- 18HM
2018 · hnmail.io
- 19GG
2015 · geomood.sebastiangraef.com
- 20SP
2017 · sentinewsmob.ml
- 21AC
2017 · github.com
- 22AB
2016 · blog.aylien.com
- 23HTHN Trends▲33
2023 · hntrends.net
- 24WJ
2010 · groubalcsi.com
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