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ads-privacy
Security & Privacy2021–2021
google / ads-privacy · Archived

ads-privacy

Discover this repository through its Hacker News conversations.

4Distinct people
4Mentions
0Explicit recommenders
420GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

A public description has not been verified.

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

Mentioned in the same Hacker News threads. That is not proof they are substitutes.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week4 dated mentions

Observed mentions: 2021-01-08 13:22:21 UTC to 2021-04-15 10:27:13 UTC. Weeks start Monday, UTC.

0122021-01-04 00:00:00 UTC to 2021-01-11 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsJan 42021-01-11 00:00:00 UTC to 2021-01-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-18 00:00:00 UTC to 2021-01-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-25 00:00:00 UTC to 2021-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-01 00:00:00 UTC to 2021-02-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-08 00:00:00 UTC to 2021-02-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-15 00:00:00 UTC to 2021-02-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-02-22 00:00:00 UTC to 2021-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsFeb 222021-03-01 00:00:00 UTC to 2021-03-08 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2021-03-08 00:00:00 UTC to 2021-03-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-03-15 00:00:00 UTC to 2021-03-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-03-22 00:00:00 UTC to 2021-03-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-03-29 00:00:00 UTC to 2021-04-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-04-05 00:00:00 UTC to 2021-04-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-04-12 00:00:00 UTC to 2021-04-19 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsApr 12

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Jan 42021-01-04 00:00:00 UTC2021-01-11 00:00:00 UTC101
Jan 112021-01-11 00:00:00 UTC2021-01-18 00:00:00 UTC000
Jan 182021-01-18 00:00:00 UTC2021-01-25 00:00:00 UTC000
Jan 252021-01-25 00:00:00 UTC2021-02-01 00:00:00 UTC000
Feb 12021-02-01 00:00:00 UTC2021-02-08 00:00:00 UTC000
Feb 82021-02-08 00:00:00 UTC2021-02-15 00:00:00 UTC000
Feb 152021-02-15 00:00:00 UTC2021-02-22 00:00:00 UTC000
Feb 222021-02-22 00:00:00 UTC2021-03-01 00:00:00 UTC000
Mar 12021-03-01 00:00:00 UTC2021-03-08 00:00:00 UTC202
Mar 82021-03-08 00:00:00 UTC2021-03-15 00:00:00 UTC000
Mar 152021-03-15 00:00:00 UTC2021-03-22 00:00:00 UTC000
Mar 222021-03-22 00:00:00 UTC2021-03-29 00:00:00 UTC000
Mar 292021-03-29 00:00:00 UTC2021-04-05 00:00:00 UTC000
Apr 52021-04-05 00:00:00 UTC2021-04-12 00:00:00 UTC000
Apr 122021-04-12 00:00:00 UTC2021-04-19 00:00:00 UTC101

What Hacker News says

4 sources
Is there an API that allows me to see, unpack, and set my own cohort? The FloC explainer [0] suggests the basic API just returns a stable hash [0]. I am curious about the space of cohorts. Also, whether there'd be an advantage to choosing a cohort for my task, vs just being anonymous. EDIT: that would appear to be TURTLEDOVE [1] [0] https://github.com/WICG/floc [1] https://github.com/WICG/turtledove The FloC announcement is https://blog.google/products/ads-commerce/2021-01-privacy-sa... The whitepaper explains the approach: https://github.com/google/ads-privacy/blob/master/proposals/...
In DuckDuckGo Extension to Block FLoC, Google’s New Tracking Method in Chrome
Yep - without having read the article due to paywall, they're likely referring to FLoC (Federated Learning of Cohorts) https://github.com/google/ads-privacy/blob/master/proposals/... https://blog.google/products/ads-commerce/a-more-privacy-fir... Make no mistake - as far as I can tell, this preserves Google's ability to track that you are, say, a new parent because you've searched for baby clothes. What it won't know is which new parent you are. The system is designed to give probabilistic assurances of k-anonymity. But Google will no doubt tune those "cohort" memberships, and the value of "k," to capture the vast majority of current advertiser needs, while still being able to communicate to antitrust inquiries and the public that they are not giving people unique identifiers. If anything, it hurts their competition more than it would hur
Read the rest
t them, because it allows them to thread the needle in a privacy-conscious world.
In Google to stop selling ads based on your specific web browsing
This is probably related to the "ban" of third party cookies [1] and most likely they just found a way without using cookies but other technologies - most likely biometric features + Chrome data in case you're using Chrome [1] https://www.cookiebot.com/en/google-third-party-cookies/ Edit: I did not have time to read it, but here is the paper and probably something like the algorithm they want to use: https://github.com/google/ads-privacy/blob/master/proposals/...
In Google to stop selling ads based on your specific web browsing

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