Jellyfish
A commercial analytics company specializing in tracking engineering activity. It provides an engineering data platform used to measure an organization's software development efficiency and work patterns.
Timeline (last 90 days)
Anthropic had operating profit this quarter, with a net revenue retention rate of 900%; the Jellyfish report covers 276,000 customers; since the start of this year, spending on tools like Claude Code has risen 10-fold, accounting for about 2% of total engineering costs.
A study covers more than 700 software companies, over 2,000 engineers and about 300 million work events, with data from Jellyfish, covering the period from 2021 to March 2026.
Jellyfish itself sells engineering productivity analytics tools, creating a conflict of interest with the study.
Harvard researchers Fiona Chen and James Stratton led a study based on Jellyfish data that tracked changes in engineering efficiency over 12 months after enterprises adopted AI coding agents.
Harvard economists Fiona Chen and James Stratton published a working paper using Jellyfish platform data to track the work patterns of 718 companies and more than 700,000 engineers.
This study is a working paper that has not yet undergone peer review, the data comes from the business analytics company Jellyfish, there may be selection bias from platform users, and the authors emphasize that these are short-term effects and long-term results may differ.
The dataset involved in the study covers 718 companies and more than 700,000 workers, spanning from 2021 to 2026.
All Facts (8)
Jellyfish和LinearB等工程效能平台通过对数千个工程团队的实际数据分析，得出了与Stripe报告类似的关于开发者时间分配的结论
70%UnverifiedAnthropic had operating profit this quarter, with a net revenue retention rate of 900%; the Jellyfish report covers 276,000 customers; since the start of this year, spending on tools like Claude Code has risen 10-fold, accounting for about 2% of total engineering costs.
50%UnverifiedA study covers more than 700 software companies, over 2,000 engineers and about 300 million work events, with data from Jellyfish, covering the period from 2021 to March 2026.
50%UnverifiedJellyfish itself sells engineering productivity analytics tools, creating a conflict of interest with the study.
50%UnverifiedHarvard researchers Fiona Chen and James Stratton led a study based on Jellyfish data that tracked changes in engineering efficiency over 12 months after enterprises adopted AI coding agents.
50%UnverifiedThe dataset involved in the study covers 718 companies and more than 700,000 workers, spanning from 2021 to 2026.
50%UnverifiedThis study is a working paper that has not yet undergone peer review, the data comes from the business analytics company Jellyfish, there may be selection bias from platform users, and the authors emphasize that these are short-term effects and long-term results may differ.
50%UnverifiedHarvard economists Fiona Chen and James Stratton published a working paper using Jellyfish platform data to track the work patterns of 718 companies and more than 700,000 engineers.
50%