Golden

Name: Golden
Brand: Golden

Knowledge Graph

Est 2017|Valuation $160M|Raised $59.5M

LinkedIn 9K|Web traffic 16K|FTEs 38|HQ San Francisco, California, US

MarketsPrivate Markets Intelligence & Deal Sourcing Data

01Competitive Landscape

Narrative analysis

- Golden vs Diffbot - Similarities - Both provide structured views of web-based information with API access and usage-based metering concepts. - Differentiators - Golden appears more oriented toward analyst workflows (Query Tool, lists, pipelines, alerts, data requests). - Diffbot is oriented toward web data infrastructure (extraction APIs, crawl tooling, Knowledge Graph search/enhance) and publishes pricing and rate limits. - Golden vs Crunchbase - Golden is positioned to overlap with Crunchbase for company/person facts while also covering topic and cluster context. - Crunchbase focuses on company and funding intelligence and is widely used in startup and investment ecosystems. - Golden vs Wikipedia/Wikidata - Community commentary raised questions about creating a venture-backed alternative to Wikipedia and suggested contributing to open resources as an alternative. - Golden aims to cover more long-tail topics and uses hybrid AI/human workflows as part of its approach. - Adoption trends / market signals - Golden received notable early attention on Product Hunt and had an active Hacker News launch discussion. - Public evidence of broad enterprise adoption (case studies, third-party reviews) is limited in the sources accessible for this research.

	Golden (golden.com)	Diffbot	Crunchbase
Starting Price	Free tier available; published paid plans	Free tier available; published paid plans with published rate limits	Not validated in this research (vendor offers tiered paid plans)
Primary Use Case	Entity research, lists/pipelines, structured queries, API enrichment with cited sources	Web-scale extraction and Knowledge Graph search/enhance; developer-focused data ingestion	Company and funding intelligence, prospecting, investment research
Key Strength	Integrated query, list, and tracking workflows on top of a public knowledge graph; API access available on free tier (credit metered)	Extraction/crawl tooling and Knowledge Graph search/enhance; published pricing and rate limits	Broad adoption for company/funding data; common in sales and investment workflows
Key Weakness	Limited independent validation of data quality in public sources; security/compliance documentation not clearly public; credit metering can make forecasting difficult	Can be costly at scale; requires engineering resources; extracted data quality depends on sources	Less narrative/topic depth for non-company entities; may be less flexible for non-company entities

01Competitive Landscape

Narrative analysis

Golden vs Diffbot
- Similarities
  - Both provide structured views of web-based information with API access and usage-based metering concepts.
- Differentiators
  - Golden appears more oriented toward analyst workflows (Query Tool, lists, pipelines, alerts, data requests).
  - Diffbot is oriented toward web data infrastructure (extraction APIs, crawl tooling, Knowledge Graph search/enhance) and publishes pricing and rate limits.
Golden vs Crunchbase
- Golden is positioned to overlap with Crunchbase for company/person facts while also covering topic and cluster context.
- Crunchbase focuses on company and funding intelligence and is widely used in startup and investment ecosystems.
Golden vs Wikipedia/Wikidata
- Community commentary raised questions about creating a venture-backed alternative to Wikipedia and suggested contributing to open resources as an alternative.
- Golden aims to cover more long-tail topics and uses hybrid AI/human workflows as part of its approach.
Adoption trends / market signals
- Golden received notable early attention on Product Hunt and had an active Hacker News launch discussion.
- Public evidence of broad enterprise adoption (case studies, third-party reviews) is limited in the sources accessible for this research.

	Golden (golden.com)	Diffbot	Crunchbase
Starting Price	Free tier available; published paid plans	Free tier available; published paid plans with published rate limits	Not validated in this research (vendor offers tiered paid plans)
Primary Use Case	Entity research, lists/pipelines, structured queries, API enrichment with cited sources	Web-scale extraction and Knowledge Graph search/enhance; developer-focused data ingestion	Company and funding intelligence, prospecting, investment research
Key Strength	Integrated query, list, and tracking workflows on top of a public knowledge graph; API access available on free tier (credit metered)	Extraction/crawl tooling and Knowledge Graph search/enhance; published pricing and rate limits	Broad adoption for company/funding data; common in sales and investment workflows
Key Weakness	Limited independent validation of data quality in public sources; security/compliance documentation not clearly public; credit metering can make forecasting difficult	Can be costly at scale; requires engineering resources; extracted data quality depends on sources	Less narrative/topic depth for non-company entities; may be less flexible for non-company entities