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, 3 tweets, 2 min read
[#OSINT] Getting started on MultiFind v1.2 this week. Adding a bunch of suggestions thus far from the first BETA. We'll be opening up another BETA sign up for v1.2. We'll be looking for 200+ testers for more advanced features. If you signed up for v1, you'll already be included.
[#OSINT] The MultiFind v1.2 BETA sign up is now active. If you were on the v1 BETA, you're already included in the second iteration. If you haven't signed up yet, head to multifind.io to sign up, test a new tool, and provide feedback and suggestions. Thank you!
[#OSINT] If you sign up for the MultiFind v1.2 BETA, you'll receive v1 in the interim before v1.2 is finished being developed. Then, I'll update you with the download link for v1.2 when it's ready! MultiFind.io
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Jake Creps
@jakecreps
I’m mentally processing that Tinder #OSINT post from @dutch_osintguy. Information possibly available is:
1. Photo (reverse image potential)
2. Name (alias discovery)
3. Age (false positive potential)
4. Occupation (location possibility)

Many points of iteration here to explore!
I spent some time exploring the page source; Tinder does a good job at buttoning up.
I’m going to write an #OSINT article on this thought bubble to expand it out a bit this week.
Read 3 tweets
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Jake Creps
@jakecreps
[#OSINT] Okay everyone, sign ups for the MultiFind BETA are now available. First, read this article for a brief introduction to v1 of MultiFind, it includes a video and a few words. At the bottom you’ll find a link to sign up for the BETA!

jakecreps.com/multifind-v1
Remember only the first 100 subscribers will receive access to the first BETA test!
MultiFind.io
Read 3 tweets
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Jake Creps
@jakecreps
[#OSINT] You can use Twint to find indirect relationships between users. By matching the “conversation_id” to multiple queries, you can discover more insight.
For example, let’s say you’re trying to find violent users on Twitter that are threatening an influencer. Twitter only limits you to search for “influencer name” + “violent keyword”. Using Twint, you can search for all “violent keywords” and then match it to influencer mentions
You can also mine replies within Twint. It’s not in the Wiki, but adding “c.To =“ to your python module will allow you to pull tweets sent “to” someone. By finding the accounts that most mention said influencer, you can take this a a step further
Read 5 tweets

Related threads

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⚒ Jack Himself ⚒
@jackgambardella
50 Times West Ham Went Full West Ham.

A thread:
#50

In 1972, West Ham only managed to get past Hereford United after a replay, following a 0-0 draw away from home.

The two sides were drawn against each other again in 1974. West Ham only managed a 1-1 draw at home to the third tier side, and lost the replay 2-1.
#49

It’s not often that teams throw away 3-0 leads at home. But West Ham did it twice.

In 1998, Wimbledon came from 3-0 down at Upton Park to win the game 4-3, and West Brom repeated the trick five years later.

West Ham. The gift that keeps on giving.
Read 53 tweets
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ʜᴇɴᴋ ᴠᴀɴ ᴇss
@henkvaness
Ch.. ch.. changes in the internet graveyard archive.org are now visible with this tool web.archive.org/web/diff/20190… That’s ... big! #osint This will greatly help you to research the past.
Now Ch.. Ch.. Changes in Archive.org is beta, as you can see here. The words "About" "TrumpU" "Trump Blog"
"TrumpU Podcast"
"Discussion"are shown as changes here, but they were already there (2/3)
web.archive.org/web/diff/20061…
It also misses some changes, as shown here. So @MarkGraham , why is this happening. Don't read me wrong: so happy with your initiative (3/3)
Read 3 tweets
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Charles J. Moore
@charles270
Game of Thrones season 1, episode 1. Lemme see what the fuss is about.
I recognize a lot of these characters from nearly a decade of Game of Thrones memes.
Halfway thru episode 1 & Peter Dinklage is easily my favorite character.
Read 407 tweets
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Noah Smith 🐇
@Noahpinion
1/OK so people wanted a thread on how 2010s America is becoming 1990s Japan, so here we go.

The most obvious similarity is economic. Japan had a giant real estate bubble burst in the early 90s. Ours burst in the late 2000s.
2/The result for Japan was a "lost decade" of low growth. For us the slowdown was milder, but we still had one.
3/In both countries, the central bank responded by lowering interest rates to 0. Ours have recently come up slightly; Japan's never did.
Read 23 tweets
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Eugene
@e_earns
Going to read “The Right Side of History”. This will be some mixture of enlightening, been there done that, and hate-read dunkathon. Let’s see.

No idea what Shapiro’s background is outside trolling libs, but I maybe he’s sort of Straussian? The ‘Jerusalem plus Athens’ thing.
So the thesis is ‘things have never been better, but we’re fucking it up now.’ Pinker + angst.
‘We’ in the book is Americans, natch.
Read 249 tweets

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