oss-distribution-strategy

Start with a coverage audit of registries, listings and downstream packages already in place, fix stale metadata, then rank candidate channels by recurring cost, decay behaviour, observable signal and kill date. Sequence the plan as foundation fixes, passive discovery, then active seeding.

By default efficiency ranks registry metadata first, then the release stream, dependency position, machine-readable surfaces and curated lists, with downstream packaging and creator seeding last. The order shifts with your adopter type, ecosystem and available maintainer hours.

Usually no for a library installed inside a virtual environment, since downstream packaging is irreversible and a stale package keeps shipping old versions. It fits when company adoption is the goal, the install unit is a standalone binary or container, and release hygiene lets a third-party packager hold it.

No evidence links supply-chain scores, signing or provenance to download growth. Treat trust signals as procurement enablement that unblocks enterprise review, with the observable signal being evaluations that stop stalling rather than a download lift.

Stars measure attention and promotion reach, not distribution; the announcement travelled but the install did not. That pattern signals an onboarding problem, so move budget to documentation rather than another awareness push, and track downloads, dependents and cloners instead.

Commit to a predictable maximum interval, such as a fix landing within N weeks, rather than a mandatory minimum cadence. Empty calendar releases become noise pull requests downstream, while security fixes ship out of band and small changes get batched into one readable release.