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Depop: History, Art & Companies
Depop Limited is a social e-commerce company headquartered in London, with offices in Milan and New York City. The company operates an online marketplace that allows users to buy and sell primarily second-hand, vintage, and designer clothing through a social media-style platform.
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Depop topic overview
The analysis highlights History, Art and Companies as prominent areas in the source structure around Depop.
Related topics
35
Source areas
4
Connected nodes
39
Extracted relationships
95
Concept neighborhoods
11
Bridge connections
39
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 19 topics
Business model · 6 topics
Criticism · 5 topics
Overview · 5 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2011; 15 years ago (2011) in Roncade, Italy
Industry
Online shopping
Headquarters
London, United Kingdom
Area served
Worldwide
Available in
English, Italian
CEO
Peter Semple
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Depop connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Depop shows recurring relationship patterns in the source. For example, Depop → According, At, August, CEO, Depop's CEO, Etsy, Etsy CEO Josh Silverman’s, Etsy's, For Etsy, Gen, He, In June, Kruti Patel Goyal, London, May, Peter Semple, Silverman, This, When Goyal, When Maria Raga Another extracted example is Depop → According, Airbnb, Beckerman, CEO, Depop's, H-Farm, In, Italian, Italy, Maria Raga, PIG, Raga, Simon Beckerman, Spotify, The, This, While. Use these groups to spot repeated connection types before inspecting the individual relationships.
Depop
Top relations
related to Acquisition by Etsy· 20
Depop → According, At, August, CEO, Depop's CEO, Etsy, Etsy CEO Josh Silverman’s, Etsy's, For Etsy, Gen, He, In June, Kruti Patel Goyal, London, May, Peter Semple, Silverman, This, When Goyal, When Maria Raga
related to history· 17
Depop → According, Airbnb, Beckerman, CEO, Depop's, H-Farm, In, Italian, Italy, Maria Raga, PIG, Raga, Simon Beckerman, Spotify, The, This, While
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 95 structured relationships around Depop. Examples in this analysis include Depop → Area served → Worldwide and Depop → Available in → English, Italian. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Depop
Area served
Worldwide
1.00
infobox
Depop
Available in
English, Italian
1.00
infobox
Depop
CEO
Peter Semple
1.00
infobox
Depop
Employees
400 (2021)
1.00
infobox
Depop
Founded
2011; 15 years ago (2011) in Roncade, Italy
1.00
infobox
Depop
Founder
Simon Beckerman
1.00
infobox
Depop
Headquarters
London, United Kingdom
1.00
infobox
Depop
Industry
Online shopping
1.00
infobox
Depop
No. of locations
London
1.00
infobox
Depop
No. of locations
Milan
1.00
infobox
Depop
No. of locations
Los Angeles
1.00
infobox
Depop
No. of locations
New York City
1.00
infobox
Depop
Parent
eBay
1.00
infobox
Depop
Type of business
Subsidiary
1.00
infobox
Depop
URL
depop.com
1.00
infobox
Depop
Users
56.3 million (2026)
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Depop bring nearby vocabulary together. In this analysis, examples include Users, According and Company. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Depop
Users
According
Company
Etsy
Platform
London
Million
Ceo
City
Milan
Selling
United
depop
Users
According
Company
Etsy
Platform
London
Million
Ceo
City
Milan
Selling
United
new york city
City
Milan
York
New
London
Beckerman
Business
Ebay
Million
Competitors
E-commerce
Founded
ceo
Former
Etsy
Growth
Depop's
Selling
United
New
Time
Million
Depop
Ebay
City
etsy
Ceo
Billion
Former
Time
Competitors
Founded
Milan
Online
Selling
United
York
Growth
london
Milan
York
New
Business
Ebay
Competitors
Founded
Online
Selling
United
Social
Acquisition
ebay
Business
Etsy
Billion
Competitors
Founded
Milan
Online
Selling
United
York
New
Beckerman
business model
Beckerman
Ebay
City
Competitors
Founded
Milan
Online
Selling
United
York
Ceo
New
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Depop, one of the stronger structural bridges in this analysis connects Depop with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Depop
Nodes40
Edges39
Triples95
Avg. degree1.95
Density0.05
Components1
Source & methodology
TTTA analyzes the structure around Depop to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Depop · EN edition · Analysis: TopicsToTalkAbout
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