LinearB
StackAdapt
| Feature | LinearB | StackAdapt |
|---|---|---|
| Pricing | Free / from $39/mo | Contact sales |
| Free Plan | ✓ Yes | ✗ No |
| Rating | 4.2 / 5 | 4.4 / 5 |
| Best For | engineering-managers, vp-engineering, ctos, devops-teams | agencies, brand-marketers, media-planners, performance-marketers |
| Founded | 2019 | 2014 |
| Cycle Time Metrics | ✓ | ✗ |
| Dora Metrics | ✓ | ✗ |
| Pr Insights | ✓ | ✗ |
| Workflow Automation | ✓ | ✗ |
| Team Benchmarks | ✓ | ✗ |
| Planning Intelligence | ✓ | ✗ |
| Investment Profile | ✓ | ✗ |
| Native Ads | ✗ | ✓ |
| Display Ads | ✗ | ✓ |
| Video Ctv | ✗ | ✓ |
| Audience Targeting | ✗ | ✓ |
| Contextual Targeting | ✗ | ✓ |
| Creative Studio | ✗ | ✓ |
✓ LinearB Pros
- Correlates engineering metrics with business outcomes
- Automated workflow improvements (WorkerB)
- Benchmarks against industry standards
- Identifies bottlenecks in dev process
✗ LinearB Cons
- Expensive for large engineering teams
- Can feel like surveillance to developers
- Metrics can be gamed if not used carefully
✓ StackAdapt Pros
- Excellent native ad inventory
- Strong machine learning
- Good customer support
- Multi-channel reach
✗ StackAdapt Cons
- Minimum spend requirements
- Learning curve for platform
- Reporting could be more granular
The Verdict
LinearB is built for engineering managers and vp engineering, with a focus on cycle-time-metrics and dora-metrics. StackAdapt targets agencies and brand marketers and leads with native-ads and display-ads.
StackAdapt uses custom enterprise pricing, while LinearB starts at $39/mo — a tangible advantage for teams with a fixed budget.
LinearB has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. StackAdapt requires a paid subscription from day one.
Feature-wise, LinearB offers broader built-in capabilities (7 features vs 6), while StackAdapt takes a more focused approach — which can mean a simpler, faster onboarding experience.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.