Understand who builds your project
Your community is your greatest asset. Know who your top contributors are, where activity slows down, and how to keep your project thriving.
Sound familiar?
These challenges slow down engineering teams every day.
Contributor Churn
New contributors appear, open a PR, then vanish. You have no visibility into who is engaging consistently and who is at risk of dropping off.
No Community Health Score
Is your project healthy or in decline? Bus factor, response times, PR queue depth—you are guessing instead of measuring.
Maintainer Burnout
You handle most of the work alone. Without a clear picture of contribution distribution, burnout sneaks up on you before you notice.
A community health dashboard that shows you the pulse of your open source project.
Everything you need to lead effectively
Tools designed specifically for engineering managers who want visibility without surveillance.
Contributor Leaderboard
Celebrate your top contributors publicly. Spot rising stars early and give them the recognition that keeps them engaged.
Community Health Score
A composite 0-100 score combining PR merge rate, issue close rate, bus factor, contributor activity, and activity trend. One number that tells you if your project is thriving or at risk.
Bus Factor Analysis
Know how many contributors could leave before your project stalls. Identify critical knowledge concentration before it becomes a problem.
Response Time Metrics
Track your average time to first response on issues and PRs. Fast response times attract more contributors.
Contribution Reports
Auto-generated monthly contributor digests you can share in your README or newsletter to celebrate your community.
Release Impact Tracking
See how each release affects contributor activity and issue volume. Understand what drives community engagement.
Trusted by engineering managers worldwide
See what other engineering leaders are saying about DevLyTicks.
"I maintain a library with 4,000 stars and had no idea who was actually active. DevLyTicks showed me my top 10 contributors and I immediately reached out to them. Three became co-maintainers.
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"The bus factor analysis was an eye-opener. 80% of our critical code was written by two people. We used that data to onboard contributors into those areas on purpose.
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"Our response time report was embarrassing at first—14 days average. Within a month of tracking it, we got down to 3 days. What gets measured gets improved.
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The transformation
See how DevLyTicks changes the way you manage your engineering team.
Before DevLyTicks
- Contributors vanish unnoticed
- No community health visibility
- Bus factor is unknown
- Maintainer burns out alone
- Slow response times drive people away
- No data for sponsor pitches
After DevLyTicks
- Rising contributors identified early
- Community health score visible
- Bus factor risks surfaced and fixed
- Shared ownership across maintainers
- Fast responses attract more contributors
- Metrics make sponsor conversations easy
Ready to grow your community?
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