Comment by ds

Comment by ds

The big thing to know is the following:

Google yourself - See what shows up that shouldnt. Go through those sites and manually opt out. Its not too hard and you get the biggest offenders.

Yes, you can use a automated service to do this for you but I think its a really bad idea based on how most of them work.

First of all- Most of the big ones make use of extensive labor in thie phillipines and malaysia to manually type your data into opt out forms. They also have to make use of extensive proxy networks that I can only suspect are not always on the up and up. This is because the databrokers will block IP's from submitting more than a few opt outs per date. So you are supporting both shady practices for the proxys and third world labor thats semi exploited

Second of all- You are trusting yet another company with your data. When you sign up to one of these services, they obviously know everything about you. When one of these services inevitably has a data breach in the future, its going to be a disaster.

The reason that the big services have difficult with the biggest services that are listed in this article is because they: Use captchas, use cloudflare and do email confirmations. They also do things where they show you multiple pieces of data and you have to pick which one is yours, but some of the data is blurred and presented as a image. ( ie- Is this email yours? tee***@gmail.com )

So, what to do if you want to stay on this? Well- Im creating a solution with my team to do what all the big players should have done- Do the optouts from your own device. They of course want you to do it from their servers because its a nice zero friction experience where you just type your info in and they handle most stuff. But as we see, the biggest offenders for databrokers are NOT handled because they are tricky.

So, at our startup https://redact.dev we already built out a ton of tech for this, but targeting social media and messengers. We are now building all of that out for data brokers. And because its ran directly on your own machine there are a TON of advantages:

1: No limit to how often you can scan for new databroker leaks. Most of the players now limit you to once every 30-45 days

2: No limit to adding friends/family to scan/opt them out also.

3: No use of third partys to process your removals. This one is self explanatory. The deletions happen direclty between your device and the databroker- no third world workers involved.

4: Handles the 'hard to delete from' sites listed in the article. Our built in IMAP system can handle email confirmations no problem. Because its running from your own IP, you have no issues with getting blocked there either. Cloudflare/captchas are also no issue

5: Most importantly, you dont have to trust another company with your most personal information. All your data like address/names/phone stay on your device and are only sent to the sites you need to opt out from. Believe it or not, a bunch of these databroker remover sites will just bulk email a bunch of databrokers right now saying "hey, if joe smith @ 123 main street is in your DB, remove him!"

The big drawback is that you need to have a device open that can do the work for you. With other services you can just pay and shut off your PC or phone. You need to keep our solution open for 5 minutes while it does its work. I think thats a definitely good tradeoff for the security you get AND the fact that it instantly removes you from many of these sites. Alot of the players as I mentioned just do emails so it could take weeks or months before they remove you. If you use the databroker sites automated forms, it can be removed instantly or within days or hours.

Replies ds · 2024-01-14
Open on HN
Loading the discussion…

Domain filters

Stories from these domains are hidden from every list. Subdomains match too: blocking substack.com also hides danluu.substack.com.

    New collection

    Delete this collection?

    About YAVCHN

    YAVCHN is a reader for Hacker News and Lobsters, with articles and discussions in separate windows or Classic pages.

    Created by Paul Parks and built with PUDL.

    YAVCHN source code on GitHub

    Privacy policy · Terms of use

    Help

    Keyboard

    j / k
    Move down and up the story list. The arrow keys scroll whatever has focus.
    Enter
    Read the marked story in the article reader.
    [ / ]
    Read the story above or below in the list, in the same article reader. Back returns to the story you came from.
    p
    Pin or unpin the marked story, which keeps it in Pinned.
    n / N
    Move to the next or previous top-level comment in the window in front.
    c
    Collapse or expand that comment.
    f
    Hide or show the story list.
    Esc
    Close a menu or this help.
    Access key m
    Go to the menu bar. Most browsers take it with Alt on Windows and Linux, and Safari with Control and Option.
    ?
    Show this help.

    Windows

    Each story opens in a window holding its article above its discussion; drag the bar between them to share the room differently. A window can be moved by its title bar, resized from any edge, snapped to a half or a corner by dragging it there, maximised, or minimised to the bar at the foot of the page. Use Window > New reader window to open an empty reader, or Story > Open in new reader window to open another reader for the current article. Docked readers keep their articles when you select another story from the sidebar. Minimized readers can be restored and reused for their site. A window's Previous and Next buttons read up and down the list in the same window.

    A link in a comment or an article to another Hacker News or Lobsters thread opens that thread in a window too. A link to a single HN comment opens the comment above its replies.

    While a story's window is in front, the Story and Discussion menus in the menu bar hold its commands: pinning, Previous and Next story, sorting, collapsing every thread, jumping to the first new comment. Each window also remembers where you were in its article and discussion, so a reload, or Back to a story that Next took you past, finds your place again. Closing a window forgets it.

    The whole arrangement lives in the address, so a bookmark or a shared link brings it back, and Back undoes the last change. Moving between Hacker News, Lobsters, their lists, Pinned and Find changes only the list, and leaves the windows open.

    The list

    The pin at the start of a row keeps the story in Pinned, and the cross at its end hides it. Pinned can be narrowed by words in the title, site or author, by source, and to the stories you haven't opened yet, and ordered by when you pinned them, by points or by comments; the filters are part of the address, so a filtered view can be bookmarked. Scroll past the end of the list to load more. Domain filters, in the View menu, hide every story from a site.

    Collections are named lists of stories. Story > Add to collection files the story in front into one or more of them, and the Collections feed shows them all or one at a time; the menu that chooses collections also creates, renames, and deletes them. A note is your own text on a story. Choose Add note in a story's toolbar to write one; it saves as you type. Rows with a note carry the note mark, and the Notes feed lists every noted story and searches the text of your notes.

    Browsing view

    View > Windowed and View > Classic select the browsing view and save your default in this browser. Window view reuses a reader for each feed. Classic view opens stories and applets as pages. Open as a page is a one-off action that does not change your saved default. Use the Windowed selector to return an article to a window. Direct page links always open as pages.

    Applets

    The Applets menu in the menu bar holds three tools, each a window of its own. Replies to me takes your Hacker News user name and lists the replies to your last thirty comments and stories, checking again every three minutes while it is open, and marking what is new since you last marked them read. Look up a user opens a profile on Hacker News or Lobsters, with their submissions and recent comments, as a commenter's name in any discussion does; the bar at the top of a profile looks up someone else in the same window, and Back returns to the one before. Who is hiring? filters the posts of HN's monthly hiring threads by the words you type.

    They read only what the sites publish to everyone, so none of them asks for a login, and your user name stays in this browser anonymously and is included in retained applet state when signed in.

    Find

    Find takes any link and lists every time it was submitted to Hacker News and Lobsters, so you can read each discussion of it.

    About

    YAVCHN never sees your Hacker News or Lobsters login. The discussion is fetched from each site's public API; to vote or reply, follow the link above the discussion, or the arrow beside a comment, to the source's own site. Without a YAVCHN account, your data stays in this browser. When signed in, pins, collections, notes, blocked domains, and retained reading state are stored with your account and synchronized across devices. Hidden stories and layout stay in this browser. The privacy policy has the details.

    Open source: github.com/paulmooreparks/yavchn. Built with PUDL.