Scarf

Name: Scarf
Brand: Scarf

Open source usage analytics for sales and marketing intelligence

Est 2019|Valuation $21.4M|Raised $7.3M|55 Ref Customers

LinkedIn 1K|Web traffic 2K|FTEs 23|HQ Oakland, California, US

MarketsBuyer Intent & Signals PLG Platforms

01Competitive Landscape

Narrative analysis

- Differentiation: Scarf is focused on OSS distribution touchpoints (Gateway, Pixels, SDK telemetry) rather than general website analytics, positioning it as an intermediary between registries and maintainers. - Where alternatives may be preferable: - Product analytics platforms (PostHog/Amplitude) provide deeper in-app behavioral analysis for hosted applications. - Buyer-intelligence platforms (Common Room) may unify a broader set of signals for GTM workflows but often at a higher cost. - Security-focused vendors (Snyk/Mend/Socket) are more directly aligned to vulnerability and compliance management than GTM use cases.

Market adoption signals

Scarf reports vendor-published adoption metrics indicating many projects and very large event volumes.
Independent signals include an institutional OSPO announcement from a university library indicating some institutional adoption.

Sources: Official vendor blog and homepage metrics; institutional announcement and other public references.

	Scarf	Common Room	Registry-native analytics (Docker Hub / npm / GHCR)
Starting Price	Published free tier; newer usage-based pricing model announced (company metering units)	Published starting price referenced for enterprise/paid tiers; relatively higher entry cost noted on vendor pricing pages	Typically included with registry accounts; limited maintainer-facing attribution features
Most applicable for	COSS and OSS foundations needing distribution- and docs-derived company attribution and CRM workflows	GTM teams consolidating community, social, and product signals into buyer intelligence	Maintainers seeking basic download counts and distribution metrics
Key capabilities	OSS-distribution signals + documentation tracking + company surfacing + exports/CRM integrations	Broad signal aggregation and GTM workflow automation	Ubiquitous distribution telemetry with limited attribution back to maintainers
Key limitations	Telemetry-related community concerns (scarf-js), attribution ambiguity, recent pricing model changes	Higher starting cost for some OSS projects; not specialized on distribution artifacts	Limited organization-level attribution and actionability for GTM workflows

01Competitive Landscape

Narrative analysis

Differentiation: Scarf is focused on OSS distribution touchpoints (Gateway, Pixels, SDK telemetry) rather than general website analytics, positioning it as an intermediary between registries and maintainers.
Where alternatives may be preferable:
- Product analytics platforms (PostHog/Amplitude) provide deeper in-app behavioral analysis for hosted applications.
- Buyer-intelligence platforms (Common Room) may unify a broader set of signals for GTM workflows but often at a higher cost.
- Security-focused vendors (Snyk/Mend/Socket) are more directly aligned to vulnerability and compliance management than GTM use cases.

Market adoption signals

Scarf reports vendor-published adoption metrics indicating many projects and very large event volumes.
Independent signals include an institutional OSPO announcement from a university library indicating some institutional adoption.

Sources: Official vendor blog and homepage metrics; institutional announcement and other public references.

	Scarf	Common Room	Registry-native analytics (Docker Hub / npm / GHCR)
Starting Price	Published free tier; newer usage-based pricing model announced (company metering units)	Published starting price referenced for enterprise/paid tiers; relatively higher entry cost noted on vendor pricing pages	Typically included with registry accounts; limited maintainer-facing attribution features
Most applicable for	COSS and OSS foundations needing distribution- and docs-derived company attribution and CRM workflows	GTM teams consolidating community, social, and product signals into buyer intelligence	Maintainers seeking basic download counts and distribution metrics
Key capabilities	OSS-distribution signals + documentation tracking + company surfacing + exports/CRM integrations	Broad signal aggregation and GTM workflow automation	Ubiquitous distribution telemetry with limited attribution back to maintainers
Key limitations	Telemetry-related community concerns (scarf-js), attribution ambiguity, recent pricing model changes	Higher starting cost for some OSS projects; not specialized on distribution artifacts	Limited organization-level attribution and actionability for GTM workflows