Main

processing priority

4

site type

3 (personal blog or private political site, e.g. Blogspot, Substack, also small blogs on own domains)

review version

11

html import

20 (imported)

Events

first seen date

2023-10-06 13:44:45

expired found date

-

created at

2024-06-06 06:30:24

updated at

2025-12-29 04:16:03

Domain name statistics

length

18

crc

55411

tld

2211

nm parts

0

nm random digits

0

nm rare letters

0

Connections

is subdomain of id

145219781 (medium.com)

previous id

0

replaced with id

0

related id

-

dns primary id

0

dns alternative id

0

lifecycle status

0 (unclassified, or currently active)

Subdomains and pages

deleted subdomains

0

page imported products

0

page imported random

0

page imported parking

0

Error counters

count skipped due to recent timeouts on the same server IP

0

count content received but rejected due to 11-799

0

count dns errors

0

count cert errors

0

count timeouts

0

count http 429

0

count http 404

0

count http 403

0

count http 5xx

0

next operation date

-

Server

server bits

server ip

-

Mainpage statistics

mp import status

20

mp rejected date

-

mp saved date

-

mp size orig

186098

mp size raw text

6212

mp inner links count

12

mp inner links status

20 (imported)

Open Graph

title

description

image

site name

author

updated

2025-12-16 20:20:58

raw text

Michael Mignano – Medium Open in app Sign up Sign In Write Sign up Sign In Michael Mignano 3.8K Followers Home About Pinned Who Loses When the Algorithms Win? While recommendation media promises users a better consumption experience in a post-social world, results may vary for some. — Last week, I published The End of Social Media and the Rise of Recommendation Media, detailing how and why platforms were shifting away from social graphs and leaning into algorithmic, recommendation-based models of content distribution. If you haven’t read it, here’s the TLDR: Technolo 6 min read Technolo 6 min read Pinned The End of Social Media and the Rise of Recommendation Media Recommendation media is the new standard for content distribution. Here’s why friend graphs can‘t compete in an algorithmic world. — Last week, Meta announced that the Facebook newsfeed would be shifting towards an algorithmic, recommendation-based model of content distribution. This ...

Text analysis

redirect type

0 (-)

block type

0 (no issues)

detected language

1 (English)

category id

Zastosowania AI (149)

index version

2025110801

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

4816

text words

982

text unique words

463

text lines

112

text sentences

28

text paragraphs

10

text words per sentence

35

text matched phrases

5

text matched dictionaries

3

RSS

rss path

rss status

3 (priority 3 already searched, no matches found)

rss found date

-

rss size orig

0

rss items

0

rss spam phrases

0

rss detected language

0 (awaiting analysis)

inbefore feed id

-

inbefore status

0 (new)

Sitemap

sitemap status

30 (processing completed, results pushed to table crawler_sitemaps.ext_domain_sitemap_lists)

sitemap review version

1

sitemap urls count

21

sitemap urls adult

0

sitemap filtered products

0

sitemap filtered videos

0

sitemap found date

2023-12-30 06:36:20

sitemap process date

2024-11-11 01:01:01

sitemap first import date

-

sitemap last import date

-