A practical guide for podlings, mentors, and the IPMC
This guide explains what long-term Incubator data shows about how podlings grow their communities and build independent governance. It is based on ten years (2016-2025) of historical data covering committer and PPMC additions, podling lifecycles, and long-term outcomes across more than 100 projects. The goal is not to impose rigid timelines or numeric thresholds, but to highlight patterns that consistently differentiate healthy podlings from those that struggle.
Most podlings begin slowly. It is normal for the first six to twelve months to be dominated by clean-up work and learning ASF processes. What matters is not the size of the initial team, but whether new contributors appear organically and whether the community recognises contributors and brings them into project work and governance.
Healthy podlings show steady, incremental growth: contributors join discussions, review work, participate in releases, become committers, and eventually help shape governance. Over time, mentors step back as the PPMC takes responsibility. Struggling podlings often show the opposite pattern: a large initial team with little or no growth afterwards, long periods of inactivity, and reliance on mentors for decision-making.
The strongest indicators of success are behavioural rather than numeric: openness, participation, steady recognition of new contributors, and governance that becomes increasingly community-led. These patterns, more than exact numbers, align with long-term graduation outcomes.
This guide is based on ten years of verified Incubator data, including committer and PPMC additions and podling lifecycle information. Early setup imports were identified and excluded because they do not reflect organic community growth. It is likely that some early additions were missed, and the dataset does not capture every historical promotion, especially for older podlings. However, the remaining data still reveals strong and consistent patterns.
As a result, the timing ranges in this guide reflect historical behaviour and Incubator experience, rather than raw month counts from the dataset. AI-assisted summarisation was used to clearly express patterns, and all findings were reviewed for correctness.
This guide is descriptive. It summarises historical patterns to help mentors and podlings reflect on their own development. It should not be used as a checklist or interpreted as formal requirements.
This guide draws on ten years of Incubator data, including:
Every PPMC member must also be a committer. This means:
Some podlings treat committers and PPMC members as a single group. This is now far less common.
Podlings tend to fall into two long-term patterns that repeat across years of Incubator data.
Struggling podlings consistently show one or more of the following:
Typical early-phase pattern:
This early quiet period is normal for nearly all podlings.
The first release often marks a turning point in community growth. After a podling ships its first release:
This explains why many podlings show almost no early growth. They have not yet produced something contributors can meaningfully engage with.
A slow first year is normal. Growth often accelerates only after the first release.
Many podlings begin incubation with a large initial committer or PPMC list due to:
These early additions are setup artefacts, not signs of community maturity.
Typical characteristics include:
The "big spike followed by a long flatline" pattern is one of the strongest signals of a podling that will struggle.
Comparing outcomes reveals clear differences:
A podling that recognises its first contributor within the first year tends to be growing healthily.
A podling that takes longer without any promotions often struggles to build an active, sustainable community.
One of the clearest patterns in the data is that podlings differ significantly in how quickly they promote contributors to committer status. These differences are cultural rather than qualitative. Both slow and fast promotion practices appear among successful podlings.
Some podlings take a conservative, high-trust approach:
These podlings often show a longer time to first committer, but can still graduate successfully if contributors remain engaged.
Other podlings have a faster, more inclusive approach:
These podlings often show earlier committer additions, and earlier recognition was more common among graduated podlings.
Across many podlings:
The key pattern is not the pace itself, but whether:
A high committer bar is not a problem unless:
A low committer bar is not a problem unless:
In practice, successful podlings use their promotion process, whatever its pace, to bring new contributors into the project over time. Podlings that never promote anyone, or that make promotion effectively unreachable, tend to struggle.
Most successful podlings showed fairly early recognition of new contributors, while podlings with very slow or no promotions were far less common among graduates. This reflects a pattern, not a requirement. Both fast and slow promotion cultures can succeed, but podlings that never promote anyone often struggle. Healthy podlings make that path visible and achievable, regardless of speed.
Another useful indicator is reaching a small, stable committer base.
Patterns across outcomes:
The third committer is not required, but in many cases it marks the point at which a podling demonstrates that multiple contributors are active, trusted, and involved enough to sustain the project.
The shape of growth is often more informative than any specific number.
Most podlings experience at least one stall point during incubation. A stall is not a problem by itself.
The key is:
The question is not whether a podling stalls, but whether it recovers.
PPMC growth reflects community stewardship, trust, and independence from mentors. It is the strongest long-term indicator of graduation readiness.
These are descriptive patterns, not requirements.
Graduated podlings always show real PPMC growth.
Retired podlings almost never do.
Responsibility distribution is key:
A strong indicator of governance maturity is who speaks and where:
These communication behaviours often reveal governance maturity earlier than formal promotions.
Healthy podlings demonstrate a clear pathway:
contributor -> committer -> PPMC
They delegate both technical and governance responsibility gradually and transparently.
Struggling podlings:
Behaviour is more important than absolute numbers.
The patterns above are strong but not absolute. Real podlings have shown:
The trends described here are tendencies, not rules.
Culture, behaviour, and openness ultimately determine success.
The trends in this guide describe patterns, not criteria.
They provide context for understanding a podling's trajectory,
not a checklist for evaluating it.
A podling's long-term success depends on its ability to welcome new contributors, recognise sustained involvement, share responsibility, and build transparent governance. These behaviours, more than any metric, determine outcomes.
Podlings that demonstrate openness, gradual growth, and increasing independence tend to graduate. Podlings that remain static or mentor-driven often do not.