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SpotHero: History, Measurement & Companies
SpotHero is an American company which operates an online marketplace for drivers looking to reserve and pay for parking spaces with parking lots, parking garages and valet services. The marketplace is available in over 300 cities in the United States and Canada. The company is based in Chicago, Illinois. The platform is available via apps and the…
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SpotHero topic overview
The analysis highlights History, Measurement and Companies as prominent areas in the source structure around SpotHero.
Related topics
18
Source areas
2
Connected nodes
20
Extracted relationships
87
Concept neighborhoods
5
Bridge connections
20
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 · 15 topics
Overview · 3 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)
Industry
Parking
Headquarters
Chicago, Illinois, U.S.
Area served
North America
Founder
Mark Lawrence · Larry Kiss · Jeremy Smith
Key people
Mark Lawrence (CEO) · Chris Stevens (CMO) · Beth Hayden (CPO) · Matt DiBari (CPO) · Matt Sullivan (CRO)
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 SpotHero 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 SpotHero shows recurring relationship patterns in the source. For example, SpotHero → As, Austin, Baltimore, Between, Boston, Business, By August, Chicago, Denver, In July, In May, Indianapolis, January, Los Angeles, March, Miami, Milwaukee, Minneapolis, New Orleans, New York Another extracted example is SpotHero → Battery Ventures, Bullet Time, Chicago, Draper Associates, In August, In December, In June, In September, Jeremy Smith, July, Larry Kiss, Lightbank, LinkedIn's Mike Gamson, Macquarie Capital, Mark Lawrence, Match, Milwaukee, New World Ventures, OCA Ventures, Sam Guren. Use these groups to spot repeated connection types before inspecting the individual relationships.
SpotHero
Top relations
related to Growth and expansion· 30
SpotHero → As, Austin, Baltimore, Between, Boston, Business, By August, Chicago, Denver, In July, In May, Indianapolis, January, Los Angeles, March, Miami, Milwaukee, Minneapolis, New Orleans, New York
related to Early beginnings· 25
SpotHero → Battery Ventures, Bullet Time, Chicago, Draper Associates, In August, In December, In June, In September, Jeremy Smith, July, Larry Kiss, Lightbank, LinkedIn's Mike Gamson, Macquarie Capital, Mark Lawrence, Match, Milwaukee, New World Ventures, OCA Ventures, Sam Guren
related to Acquisitions· 8
SpotHero → April, Baltimore-based, Canada, In April, Parking Panda, ParkPlease, San Francisco-based, The
Key people· 5
SpotHero → Beth Hayden (CPO), Chris Stevens (CMO), Mark Lawrence (CEO), Matt DiBari (CPO), Matt Sullivan (CRO)
related to Sale to Uber· 4
SpotHero → In, On February, Terms, Uber
Founder· 3
SpotHero → Jeremy Smith, Larry Kiss, Mark Lawrence
Area served· 1
SpotHero → North America
Founded· 1
SpotHero → 2011; 15 years ago (2011)
Headquarters· 1
SpotHero → Chicago, Illinois, U.S.
Industry· 1
SpotHero → Parking
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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 87 structured relationships around SpotHero. Examples in this analysis include SpotHero → Area served → North America and SpotHero → Founded → 2011; 15 years ago (2011). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
SpotHero
Area served
North America
1.00
infobox
SpotHero
Founded
2011; 15 years ago (2011)
1.00
infobox
SpotHero
Founder
Mark Lawrence
1.00
infobox
SpotHero
Founder
Larry Kiss
1.00
infobox
SpotHero
Founder
Jeremy Smith
1.00
infobox
SpotHero
Headquarters
Chicago, Illinois, U.S.
1.00
infobox
SpotHero
Industry
Parking
1.00
infobox
SpotHero
Key people
Mark Lawrence (CEO)
1.00
infobox
SpotHero
Key people
Chris Stevens (CMO)
1.00
infobox
SpotHero
Key people
Beth Hayden (CPO)
1.00
infobox
SpotHero
Key people
Matt DiBari (CPO)
1.00
infobox
SpotHero
Key people
Matt Sullivan (CRO)
1.00
infobox
SpotHero
Number of employees
219 (July 2018)
1.00
infobox
SpotHero
Services
Parking reservations
1.00
infobox
SpotHero
Subsidiaries
Parking Panda
1.00
infobox
SpotHero
Type
Private
1.00
infobox
SpotHero
Website
spothero.com
1.00
infobox
SpotHero
is a
American company which operates an online marketplace for drivers looking to reserve and pay for parking spaces with parking lots
0.90
text
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 SpotHero bring nearby vocabulary together. In this analysis, examples include App, Uber and Would. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
SpotHero
App
Uber
Would
New
San
Million
Lawrence
Mark
Funding
Illinois
Panda
Raised
spothero
App
Uber
Would
New
San
Million
Lawrence
Mark
Funding
Illinois
Panda
Raised
online marketplace
Garages
Available
Drivers
Lots
Operates
Pay
Reserve
Spaces
Parking
Platform
Services
Cities
chicago, illinois
Lawrence
Mark
Illinois
New
Company
July
Panda
Services
Website
Uber
Expanded
Spothero
uber
Would
Lawrence
Mark
Illinois
App
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 SpotHero, one of the stronger structural bridges in this analysis connects SpotHero 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.
SpotHero
Nodes21
Edges20
Triples87
Avg. degree1.9
Density0.095238
Components1
Source & methodology
TTTA analyzes the structure around SpotHero to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Measurement & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
