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Reddit (/ˈrɛdɪt/ ⓘ RED-it, formerly stylized reddit) is an American proprietary social news aggregation and forum social media platform. Registered users (commonly referred to as "redditors") submit content to the site such as links, text posts, images, and videos, which are then voted up or down ("upvoted" or "downvoted") by other members. Posts are…
The analysis highlights History, Community, Culture and Companies as prominent areas in the source structure around Reddit.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Reddit shows recurring relationship patterns in the source. For example, Reddit → Aaron Swartz's, After, Alexis Ohanian, Between November, Boston, Bug, Christopher Slowe, Combinator, Combinator's, Common Lisp, Despite, During, Embarrassed, For, Graham, Huffman, In, Infogami, Internet, January Another extracted example is Reddit → A/B, After, After Huffman, Android, April, Black, CEO, CFO, Combinator, Craigslist, Drew Vollero, GameStop, George Floyd, Huffman, Huffman's, July, June, Michael Seibel, November, Ohanian. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
users site content subreddits huffman new subreddit moderators company reddit's also ceo posts communities website ohanian community steve million april
TTTA extracted 379 structured relationships around Reddit. Examples in this analysis include Reddit → Advertising → Banner ads and promoted links and Reddit → Area served → Worldwide (except China and North Korea). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Advertising | Banner ads and promoted links | 1.00 | infobox | |
| Area served | Worldwide (except China and North Korea) | 1.00 | infobox | |
| Available in | Multilingual[notes 1] | 1.00 | infobox | |
| Commercial | Yes | 1.00 | infobox | |
| Content license | Proprietary | 1.00 | infobox | |
| Employees | 2,555 (2025) | 1.00 | infobox | |
| Founded | June 23, 2005; 21 years ago (2005-06-23) | 1.00 | infobox | |
| Founders | Steve Huffman | 1.00 | infobox | |
| Founders | Alexis Ohanian | 1.00 | infobox | |
| Founders | Aaron Swartz | 1.00 | infobox | |
| Headquarters | San Francisco, California, U.S. | 1.00 | infobox | |
| Industry | Social media | 1.00 | infobox | |
| Key people | Steve Huffman (CEO) | 1.00 | infobox | |
| Key people | Jen Wong (COO) | 1.00 | infobox | |
| Key people | Drew Vollero (CFO) | 1.00 | infobox | |
| Key people | Christopher Slowe (CTO) | 1.00 | infobox | |
| Net income | US$530 million (2025) | 1.00 | infobox | |
| No. of locations | 5 | 1.00 | infobox | |
| Operating income | US$442 million (2025) | 1.00 | infobox | |
| Owners | Advance Publications (30%) | 1.00 | infobox | |
| Owners | Tencent (11%) | 1.00 | infobox | |
| Owners | Sam Altman (9%) | 1.00 | infobox | |
| Parent | Reddit, Inc. | 1.00 | infobox | |
| Registration | Optional[notes 2] | 1.00 | infobox | |
| Revenue | US$2.20 billion (2025) | 1.00 | infobox | |
| Total assets | US$3.24 billion (2025) | 1.00 | infobox | |
| Total equity | US$2.93 billion (2025) | 1.00 | infobox | |
| Traded as | NYSE: RDDT (Class A) | 1.00 | infobox | |
| Traded as | Russell 1000 component | 1.00 | infobox | |
| Traded as | S&P 500 component | 1.00 | infobox |
The concept neighborhoods around Reddit bring nearby vocabulary together. In this analysis, examples include Users, Site and Huffman. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Reddit, one of the stronger structural bridges in this analysis connects Reddit with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Reddit to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Community, Culture & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Reddit · EN edition · Analysis: TopicsToTalkAbout