Data Skeptic
Data Skeptic is a Los Angeles-based media company that produces the Data Skeptic Podcast, an educational audio series on data science, machine learning, and AI, distributed globally to technical practitioners and enthusiasts via major podcast platforms and monetized through advertising.
- Company typePrivate
- Founded2014
- HeadquartersLos Angeles, United States
- Headcount1–10
- GTM typeB2C
- OfferingDigital Commerce or Content
What Data Skeptic does
Data Skeptic is a private for-profit media company founded in 2014 and based in Los Angeles, United States. Its sole core product is the Data Skeptic Podcast, a long-running audio series that features conversations on data science, statistics, machine learning, and artificial intelligence, with topical episodes covering areas such as recommender systems. The company reaches a global audience by distributing its podcast content through major podcast platforms and aggregators, and signals an advertising-based monetization model through the presence of a dedicated advertising page on its website. The company operates with a small team of 1-10 employees, and the available source data does not disclose additional products, subscription tiers, listener demographics, advertiser relationships, or revenue figures. The /about, /podcast, and /advertising pages on the company website returned rendering errors during the data collection period, limiting direct insight into the company's content library size, recent episode cadence, or sponsorship lineup.
The business model appears to be content-led media distribution, monetized through advertising sales against an audience of data science and AI practitioners, students, and enthusiasts reached via third-party podcast platforms. There is no evidence of enterprise SaaS offerings, paid memberships, premium tiers, or B2B services in the input data. The company has no disclosed funding rounds, acquisitions, partnerships, patents, regulatory actions, certifications, or management team bios in the source material. Distribution is explicitly described as global with no geographic restrictions, and the marketing motion centers on content marketing through podcast multimedia distribution.
Data Skeptic firmographics
Firmographics- Name
- Data Skeptic
- Website
- https://dataskeptic.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- Data Skeptic is a Los Angeles-based media company that produces the Data Skeptic Podcast, an educational audio series on data science, machine learning, and AI, distributed globally to technical practitioners and enthusiasts via major podcast platforms and monetized through advertising.
- Ownership category
- akta.pro rank
Data Skeptic industry classification
Industry- Product category
- Educational Podcast Media
- NAICS
- Sound Recording Industries (5122)
- akta.pro primary industry
- Audio Learning Content (Podcasts, Audiobooks, Listening Programs) (EDAGALAM)
- akta.pro secondary industry
- Audio Production & Podcasting (BPAFAIAE)
Keywords
Where Data Skeptic is headquartered
LocationHeadquarters
- HQ city
- Los Angeles
- HQ country
- United States
- HQ region
- North America
Markets served
Data Skeptic business model
Business model- GTM type
- B2C
- Offering type
- Digital Commerce or Content
- Cost components
- Personnel, Operations, Marketing or Sales, Technology or R&D
Distribution channels1 record
Marketing channels1 record
Data Skeptic product offering
Product offeringCore offering
Data Skeptic produces and distributes the Data Skeptic Podcast, a long-running audio series featuring conversations and episodes on data science, statistics, machine learning, and artificial intelligence topics such as recommender systems. The content is aimed at self-directed learners, practitioners, and enthusiasts who want accessible technical education in these fields.
Product overview
Data Skeptic operates as a media/podcast company centered on data science, machine learning, and AI education. The primary product is the Data Skeptic Podcast, which covers technical topics including recommender systems and broader AI/ML subjects. The available source material does not provide details on additional products, modules, or a platform architecture.
Differentiator
Problem solved
Functional benefit
Products and services
- Data Skeptic Podcast A long-running audio podcast featuring conversations and episodes on data science, statistics, machine learning, and artificial intelligence (including topics such as recommender systems), aimed at self-directed learners, practitioners, researchers, and enthusiasts.
Companies that use Data Skeptic
Customer profileIdeal customer profiles1 record
Data Skeptic technology and API
TechnologyTechnology focussed No
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability1 record
Data Skeptic partnerships and signals
Strategic signalRecent moves3 records
Expansion highlights2 records
Data Skeptic competitors and assessment
Company assessmentDirect peers
- Partially Derivative: Podcast covering data science, AI, and related topics with an accessible tone. Comparable in format, topic scope, and independent-producer operating model.
- This Week in Machine Learning & AI (TWIML): Long-running interview-style podcast covering machine learning and AI for practitioners and business leaders. Closely comparable to Data Skeptic in topic focus, target audience (ML practitioners), and audio-first educational format.
- SuperDataScience: Popular data science and machine learning podcast with associated paid courses, covering similar practitioner-oriented ML/AI topics to Data Skeptic. Comparable in audience segment and topic coverage, with an additional adjacent product (courses) Data Skeptic has not disclosed.
- Talking Machines: Audio podcast focused on machine learning conversations with researchers and practitioners, directly overlapping Data Skeptic's interview format and ML subject matter.
- Machine Learning Guide: Audio-first educational resource teaching machine learning concepts to practitioners. Closely comparable in format (audio learning), target learner audience, and topic scope.
- Linear Digressions: Long-running data science and machine learning podcast covering applied ML topics. Similar small-team, practitioner-targeted audio content to Data Skeptic.
- Practical AI: Weekly podcast making AI and machine learning accessible to practitioners and business users, overlapping Data Skeptic's audience and topic mix with a similar conversational format.
Broad incumbents
- The AI Podcast (NVIDIA): High-production AI-focused podcast from a major AI hardware vendor. Comparable in topic (AI/ML) but with significantly greater production resources and a corporate sponsor, representing scaled incumbent competition in the same audience segment.
- Lex Fridman Podcast: Massive-audience AI and technology podcast with frequent machine learning and AI researcher guests. Comparable subject matter but operates at a vastly larger scale, competing for the same AI-curious listenership.
- DataFramed (DataCamp): Data science podcast produced by DataCamp, an established data-science education platform. Comparable in audience (data science learners) and educational intent, but backed by an adjacent paid courseware business.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks4 records
Key highlights5 records
Customer concentration
Data Skeptic social profiles
Digital presenceData Skeptic financial estimates
Financial estimateRevenue estimate
Valuation estimate
Data Skeptic leadership team
Management profileNumber of profiles
Data Skeptic funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Data Skeptic M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Data Skeptic
What does Data Skeptic do?
Data Skeptic produces and distributes the Data Skeptic Podcast, a long-running audio series featuring conversations and episodes on data science, statistics, machine learning, and artificial intelligence topics such as recommender systems. The content is aimed at self-directed learners, practitioners, and enthusiasts who want accessible technical education in these fields.
When was Data Skeptic founded?
Data Skeptic was founded in 2014. It employs 1 to 10 people.
Where is Data Skeptic based?
Data Skeptic is headquartered in Los Angeles, United States, in the North America region.
Who are Data Skeptic's main competitors?
Direct peers on record are Partially Derivative, This Week in Machine Learning & AI (TWIML), SuperDataScience, Talking Machines, Machine Learning Guide, Linear Digressions and Practical AI. Broad incumbents are The AI Podcast (NVIDIA), Lex Fridman Podcast and DataFramed (DataCamp).
Does Data Skeptic have an API?
No public API is recorded for Data Skeptic.
What industry is Data Skeptic in?
Data Skeptic's product category is Educational Podcast Media. Its primary akta.pro industry code is EDAGALAM, Audio Learning Content (Podcasts, Audiobooks, Listening Programs), with a secondary code of BPAFAIAE, Audio Production & Podcasting. Its NAICS code is 5122.