Is Linear actually better for tracking software developer velocity than Jira or are people just hyping it up on Twitter right now?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Is Linear actually better for tracking software developer velocity than Jira or are people just hyping it up on Twitter right now?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 1 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Linear product analytics insights cycle time throughput Jira engineering metrics comparison 2026 Google ↗
Linear Jira developer productivity velocity comparison 2026 engineering metrics cycle time analytics Google ↗
- Linear vs Jira vs GitHub Issues 2026 · stackfyi.com
- Velocity vs Throughput in Jira: Which Metric Should Your Team Track? · community.atlassian.com
- Linear vs Jira: Project Management 2026 · stackfyi.com
- Engineering benchmarks 2026: data from 8.1M pull requests · linearb.io
- Measuring Efficiency in the AI-Driven SDLC · linearb.io
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Linear product analytics insights cycle time throughput Jira engineering metrics comparison 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Linear Jira developer productivity velocity comparison 2026 engineering metrics cycle time analytics OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |