LightBox competitors

Zippia score 4.6

Competitor Summary. See how LightBox compares to its main competitors:

Twitter has the most employees (3,900).

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LightBox vs competitors

Company	Founding date	Zippia score	Headquarters	# of Locations	Revenue	Employees
LightBox	2019	4.6	New York, NY	1	$49.9M	40
Muse	2014	4.3	Amarillo, TX	1	$5.5M	50
Mailchimp	2001	4.7	Atlanta, GA	1	$700.0M	801
Eyebeam	1997	3.6	New York, NY	1	$1.9M	50
Yes Man Enterprises	2016	3.8	Miami, FL	1	$5.5M	350
Rivals	2016	4.0	Brentwood, TN	1	-	6
Tumblr	2007	4.4	New York, NY	2	$84.0M	2,437
Mogul	2014	3.8	New York, NY	1	$8.0M	20
SchoolTube	2007	3.5	Sappington, MO	1	$470,000	9
Today's Business	2011	4.4	Parsippany-Troy Hills, NJ	1	$4.9M	59
PostAds	2014	3.2	Coral Springs, FL	1	$66	1
Website	-	4.3	-	-	$350,000	2
STEEZE	-	3.6	Columbia, MD	1	$34,000	2
Twitter	2006	4.9	San Francisco, CA	6	$5.1B	3,900

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LightBox salaries vs competitors

Compare LightBox salaries vs competitors

Company	Average salary	Hourly salary	Salary score
LightBox	$89,308	$42.94	-

Compare LightBox job title salaries vs competitors

Company	Highest salary	Hourly salary
LightBox	$69,763	$33.54
Twitter	$98,961	$47.58
Tumblr	$75,056	$36.08
Yes Man Enterprises	$72,041	$34.63
Website	$70,770	$34.02
PostAds	$70,621	$33.95
Rivals	$70,418	$33.85
SchoolTube	$70,318	$33.81
Eyebeam	$70,056	$33.68
Today's Business	$69,545	$33.43
Mailchimp	$59,785	$28.74
Mogul	$59,587	$28.65
STEEZE	$59,385	$28.55
Muse	$58,989	$28.36

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LightBox jobs

LightBox demographics vs competitors

Compare gender at LightBox vs competitors

Job title	Male	Female
Muse	43%	57%
Tumblr	43%	57%
Eyebeam	54%	46%
Twitter	56%	44%
LightBox	-	-

Male

Female

100%

75%

50%

25%

LightBox

25%

50%

75%

100%

Compare race at LightBox vs competitors

Company	White	Hispanic or Latino	Black or African American	Asian	Unknown	Diversity score
Twitter	52%	18%	10%	15%	5%	9.7
Eyebeam	53%	18%	12%	13%	3%	8.9
Muse	58%	17%	11%	9%	4%	9.8
Tumblr	57%	11%	13%	14%	4%	8.6

LightBox and similar companies CEOs

CEOBio

Parag Agrawal

Twitter

Parag is the technology lead, responsible for Twitter’s technical strategy and overseeing machine learning and AI across the consumer, revenue, and science teams. Since joining Twitter in 2011, Parag has led efforts on scaling Twitter Ads systems, as well as reaccelerating user growth by improving Home timeline relevance. Prior to joining Twitter, Parag did research in large-scale data management with collaborators at Microsoft Research, Yahoo! Research, and AT&T Labs. He holds a bachelor’s degree from IIT Bombay and a Ph.D. in computer science from Stanford University.

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