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Show HN: Human-Readable Privacy Policy Summaries Powered by LLMs

https://www.privana.org/
2•pearinc•3h ago
Most privacy policies are deliberately hard to read. I thought this would be a perfect and easy application of LLMs, to make privacy information transparent and actually understandable for real people, not just lawyers. It’s fair to trade data for free apps, but users should be able to understand what data is being collected.

For each app, I added the privacy policy URL to a database, then made a Perplexity Sonar API call to fetch the text and process it into a summary, then manually cleaned the result. Currently, I manually get the URL for the privacy policy and have cataloged the top 100 apps, but I plan to automate it further w/ web scrapers, which should allow for blitzscaling of the app database.

This is just a beta so far, let me know if anyone has any suggestions, and if anyone knows what web scraper is best to use? Currently, I'm thinking most likely ParseHub or Scrapy.

Comments

MajEagle•3h ago
This seems quite interesting, I will be looking forward to its success in the future.
Sailingthebay•3h ago
This is a fantastic idea and thank you for building and sharing it! It could be really helpful for everyday users make informed choices without having to spend hours reading lengthy policy documents that are difficult to understand
patricko123•3h ago
Great idea, with a pretty cool interface!
pearinc•3h ago
Thanks! One thing I was trying to balance was the length of the summaries, if they're too long ppl won't want to read them, but too short doesn't have enough detail. Do you think currently this interface/length of privacy policy description is good?

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