# Jellyfish AI visibility in Software Engineering Intelligence & Developer Productivity

Canonical: https://devtune.ai/verticals/software-engineering-intelligence/jellyfish

[Website](https://jellyfish.co/)

Latest AI responses: 2026-11-11
[Tracked on paid plans](https://devtune.ai/pricing): Google AI Mode, Microsoft Bing Copilot Search, Claude with web search, Grok Search
Prompts: 25
Runs: 3


## Platforms

- chatgpt-search
- google-ai
- perplexity

Rank: 1
Joint rank: true
Total brands: 9
Measured responses: 75
Presence percent: 46.666666666666664
Share of voice percent: 29.460580912863072
Average position: 5.211267605633803
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 64


## Profile

Overview: Jellyfish is a Boston-based software engineering intelligence platform, founded in 2017 by Andrew Lau, David Gourley and Philip Braden. It connects to tools such as Jira, GitHub, Azure DevOps and a range of AI coding assistants. It helps engineering leaders see how teams spend time, how work maps to business priorities, and how AI tools affect delivery. The platform offers delivery metrics such as DORA and cycle time, investment allocation, DevEx surveys, benchmarking and AI impact analysis. Its DevFinOps module supports software capitalization and R&D tax credit reporting. Jellyfish reports serving more than 1,000 companies, including DraftKings, Box and Blue Yonder. It is a private company that has raised $114.5M in total, with its latest round a $71M Series C in 2022. Pricing is quote-based and depends on seats and selected modules.
Product summary: Jellyfish is a software engineering intelligence platform that ingests data from engineering tools (issue trackers, source control, CI/CD, AI coding assistants) plus business data such as finance, HR and calendars. It turns that data into delivery metrics, investment allocation views, AI adoption and impact analytics, and finance-ready reporting. It is sold as modules: AI Impact, Developer Productivity and DevFinOps.


### Key capabilities

- Engineering metrics (throughput, cycle time, DORA, SPACE) across human and agent work
- Investment allocation of engineering effort to business priorities
- AI Impact: adoption, usage, spend and productivity analysis for AI coding tools
- AI Cohorts and Lifecycle Explorer for comparing teams and finding bottlenecks across the SDLC
- Data Hub with custom metrics, SQL Query Builder and natural-language queries
- Jellyfish Assistant and agents for AI-powered insights
- DevFinOps: software capitalization, R&D tax credits and audit-ready reports
- Delivery forecasting and scenario planning
- DevEx surveys and industry benchmarking against other companies on the platform



### Target users

- CTOs and VPs of Engineering
- Engineering managers and directors
- Finance and FP&A teams (software capitalization, R&D tax credits)
- Program and portfolio management leaders
- Developer experience and platform teams



### Key use cases

- Aligning engineering effort with business priorities and reporting to executives and the board
- Measuring AI coding tool adoption, cost and productivity impact
- Improving delivery predictability and removing bottlenecks (DORA, cycle time)
- Automating software capitalization and R&D tax credit reporting
- Resource and scenario planning for engineering teams
- Benchmarking engineering performance against industry peers
- Measuring developer experience through surveys

Integrations ecosystem: Jellyfish integrates with issue trackers and project tools (Jira Cloud and Data Center, Linear, Azure Boards, Confluence), source control and CI/CD (GitHub, Azure DevOps), and a growing set of AI coding tools (GitHub Copilot, Cursor, Claude Code, Codex, Augment, Amazon Q Developer, Gemini Code Assist, Kiro, Qodo, Graphite, Greptile). In December 2025 it announced 25+ new integrations covering incident management, security, CI/CD, QA, ITSM, error tracking, monitoring and customer support. It also ingests calendar, finance and HR data. It is available through AWS Marketplace.
Pricing summary: Jellyfish does not publish list pricing. Its pricing page says pricing is based on the number of seats and the modules selected: AI Impact, Developer Productivity (which includes AI Impact) and DevFinOps. Buyers must request a quote. The only public price point is an AWS Marketplace listing at $30,800 for 12 months, covering full platform access plus 15 engineering user seats. No free tier or trial is listed.
Review summary: Jellyfish holds 4.5/5 on G2 (434 reviews) and 4.4/5 on Gartner Peer Insights (115 ratings). Reviewers praise its visibility into engineering work, Jira and GitHub integrations, investment allocation views and executive-friendly dashboards. Common criticisms are limited flexibility in customization, dependence on clean underlying Jira and PR data, and non-live data refresh.
Competitive positioning: Jellyfish is positioned as a software engineering intelligence platform for engineering leaders. It combines engineering delivery metrics (DORA, cycle time) with business alignment: investment allocation, software capitalization/R&D tax reporting (DevFinOps), and AI-tool adoption and impact measurement. Its public materials and G2 and Gartner Peer Insights listings place it among developer productivity insight platforms, where it competes with DX, LinearB, Swarmia, Allstacks and similar tools. Pricing is sales-led and module-based, and it is not published. This contrasts with competitors such as LinearB and Swarmia, which publish list prices. Jellyfish emphasizes finance and executive reporting and a broad integration catalog.
Limitations: Pricing is not published and is quote-only, with no free tier or trial listed on the pricing page. G2 reviewers report rigid customization in reporting. A Gartner Peer Insights reviewer notes that data quality depends on consistent Jira workflows, labels and PR conventions, that data refresh is not live, and that some custom hierarchies needed Customer Success help.


### Source urls

- https://jellyfish.co/
- https://jellyfish.co/pricing/
- https://jellyfish.co/integrations/
- https://jellyfish.co/company/about-us/
- https://jellyfish.co/newsroom/jellyfish-raises-71-million-series-c-funding-led-by-accel-insight-partners-and-tiger-global/
- https://jellyfish.co/newsroom/jellyfish-advances-developer-and-agent-productivity-insights-for-the-ai-native-sdlc/
- https://jellyfish.co/blog/new-data-integrations/
- https://www.g2.com/products/jellyfish-2025-10-22/reviews
- https://www.gartner.com/reviews/product/jellyfish-platform
- https://aws.amazon.com/marketplace/pp/prodview-ma7h6oqkfhuo4
- https://busfactor.tech/blog/engineering-intelligence-pricing
- https://research.contrary.com/company/jellyfish
- https://pitchbook.com/profiles/company/233722-18
- https://jellyfish.co/case-studies/clari/
- https://jellyfish.co/case-studies/precisely/
- https://jellyfish.co/case-studies/kaleris/
- https://jellyfish.co/case-studies/relay-network/
- https://jellyfish.co/case-studies/jobvite/
- https://jellyfish.co/case-studies/lastpass/

Research approved: 2026-11-05T21:22:58.012028+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Clari | Used Jellyfish allocation data to raise on-time delivery from 67% to 79%, increase roadmap allocation by 5%, and automate software capitalization. | 67% to 79% on-time delivery |
| Precisely | Improved sprint predictability using Jellyfish velocity metrics and saved reporting time. | 55% to 76.5% sprint predictability; 32 hours/month saved on reporting |
| Kaleris | Improved PR cycle time and mean time to resolution through process changes tracked in Jellyfish. | 21% PR cycle time improvement; 19% MTTR improvement |
| Jobvite | Balanced investment across new product, technical debt and maintenance, increasing delivery throughput and cutting resolution times. | 80% increase in throughput |
| Relay Network | Reclaimed time spent on manual reporting and improved on-time project completion and developer satisfaction. | 25% improvement in on-time delivery; 40 hours/month saved |
| LastPass | Used Jellyfish to measure its Claude rollout through 100% adoption and saw shorter issue lifecycles. | 30-40% shorter issue lifecycle |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.5 | 5 | 434 | https://www.g2.com/products/jellyfish-2025-10-22/reviews |
| Gartner Peer Insights | 4.4 | 5 | 115 | https://www.gartner.com/reviews/product/jellyfish-platform |



### Review themes



#### Praised

- Clear visibility into engineering workflows and work allocation
- Easy integration with Jira and GitHub
- Intuitive interface and actionable insights
- Executive-friendly dashboards with team and repo drill-down
- Credible effort-based investment allocation reporting



#### Criticized

- Rigid customization of reporting
- Usefulness depends on consistent Jira workflows and PR conventions (data hygiene)
- Data refresh is not live
- Some custom hierarchies needed Customer Success assistance




### Company facts

Founded year: 2017
Hq: Boston, Massachusetts, USA


#### Founders

- Andrew Lau
- David Gourley
- Philip Braden

Employees range: 201-500
Total funding: $114.5M
Valuation: Not available
Arr: Not available
Customer count: 1,000+ companies (company-reported)
Status: Private


Readiness: Not available


## Ranking

| Display name | Pair count | Total pairs | Presence percent | Avg position |
| --- | --- | --- | --- | --- |
| Jellyfish | 35 | 75 | 46.666666666666664 | 5.211267605633803 |
| LinearB | 27 | 75 | 36 | 5.386363636363637 |
| Swarmia | 25 | 75 | 33.33333333333333 | 5.4 |
| DX | 17 | 75 | 22.666666666666664 | 8.045454545454545 |
| Waydev | 5 | 75 | 6.666666666666667 | 13 |
| Faros AI | 5 | 75 | 6.666666666666667 | 26 |
| Allstacks | 4 | 75 | 5.333333333333334 | 2 |
| Uplevel | 1 | 75 | 1.3333333333333335 | 3 |
| Hatica | 1 | 75 | 1.3333333333333335 | 5 |



## Platform breakdown

| Platform | Prompt count | Presence rate |
| --- | --- | --- |
| chatgpt-search | 17 | 68 |
| google-ai | 0 | 0 |
| perplexity | 18 | 72 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which developer productivity platforms sync with HR and payroll systems to attribute engineering investment by team and cost? | 2 | 1 |
| Which platforms help team leads set working agreements and track them, such as review turnaround time and work-in-progress limits? | 1 | 1 |
| What engineering analytics tools do engineering managers prefer for running retrospectives and one-on-ones with real data? | 1 | 1 |
| Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own? | 2 | 1 |
| Which engineering intelligence platforms connect to our source control, ticketing and CI systems with the least configuration and data cleanup? | 2 | 2 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which engineering metrics platforms do developers trust and accept, without it feeling like surveillance or individual stack ranking? | 2 |
| Which engineering intelligence tools surface insights in team chat and pull requests, so engineers don't need another dashboard? | 2 |
| What are the best developer productivity tools whose metrics hold up when teams use inconsistent ticket and branching conventions? | 2 |
| What are my options for engineering metrics tools with a free tier for a team under ten developers that is just starting to measure delivery? | 2 |
| Which engineering analytics tools handle a mix of cloud-hosted and self-managed engineering systems, with private deployment options for regulated companies? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 4 |
| Developer Experience | 5 | 5 |
| Integrations & Ecosystem | 5 | 5 |
| Performance & Reliability | 5 | 3 |
| Setup & First Run | 5 | 4 |



## Prompt results

- Prompt text: Which platforms measure the adoption, cost and real impact of AI coding assistants across teams and tools?


#### Brand position by platform

Chatgpt-search: 2
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 2 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which engineering analytics platforms can a 40-person engineering team set up in an afternoon to get baseline cycle time and deployment metrics?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 2 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Jellyfish | 3 |


- Prompt text: Which engineering metrics platforms do developers trust and accept, without it feeling like surveillance or individual stack ranking?


#### Brand position by platform

Chatgpt-search: 5
Google-ai: Not available
Perplexity: 4



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| DX | 2 |
| LinearB | 4 |
| Jellyfish | 5 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 3 |
| Jellyfish | 4 |


- Prompt text: Which engineering intelligence tools surface insights in team chat and pull requests, so engineers don't need another dashboard?


#### Brand position by platform

Chatgpt-search: 8
Google-ai: Not available
Perplexity: 6



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 3 |
| Jellyfish | 8 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Swarmia | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 5 |
| Jellyfish | 6 |


- Prompt text: Which engineering analytics platforms forecast delivery risk and roadmap slippage across multiple teams and initiatives?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 2



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| LinearB | 6 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Allstacks | 1 |
| Jellyfish | 2 |
| LinearB | 4 |
| Waydev | 5 |


- Prompt text: Which developer productivity platforms sync with HR and payroll systems to attribute engineering investment by team and cost?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| Swarmia | 3 |
| LinearB | 6 |
| Faros AI | 8 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Swarmia | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which platforms help team leads set working agreements and track them, such as review turnaround time and work-in-progress limits?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: What should I look at when picking a developer productivity platform to replace homegrown spreadsheets and ad-hoc scripts for engineering reporting?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity




- Prompt text: What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement?


#### Brand position by platform

Chatgpt-search: 4
Google-ai: Not available
Perplexity: 2



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 4 |
| Faros AI | 6 |
| LinearB | 8 |
| Swarmia | 11 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Uplevel | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 2 |


- Prompt text: What are the best developer productivity tools whose metrics hold up when teams use inconsistent ticket and branching conventions?


#### Brand position by platform

Chatgpt-search: 9
Google-ai: Not available
Perplexity: 6



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| LinearB | 6 |
| Jellyfish | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| DX | 2 |
| Swarmia | 3 |
| Jellyfish | 6 |


- Prompt text: Which engineering intelligence platforms integrate with the widest range of source control, issue tracking, incident and CI/CD tools?


#### Brand position by platform

Chatgpt-search: 3
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 3 |
| LinearB | 5 |
| Swarmia | 7 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Waydev | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| LinearB | 3 |
| Swarmia | 4 |


- Prompt text: What are my options for engineering metrics tools with a free tier for a team under ten developers that is just starting to measure delivery?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 4



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 8 |



##### Google-ai

| Display name | Position |
| --- | --- |
| LinearB | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 4 |
| LinearB | 6 |


- Prompt text: Which platforms have the most trustworthy DORA metric calculations, with transparent definitions we can audit and adjust?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 10 |
| Swarmia | 11 |



##### Google-ai

| Display name | Position |
| --- | --- |
| DX | 1 |



##### Perplexity




- Prompt text: What engineering analytics tools do engineering managers prefer for running retrospectives and one-on-ones with real data?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search





##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| LinearB | 4 |


- Prompt text: What are the best tools that combine developer sentiment surveys with delivery data to find what slows teams down?


#### Brand position by platform

Chatgpt-search: 2
Google-ai: Not available
Perplexity: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 2 |
| Swarmia | 3 |
| LinearB | 4 |
| Hatica | 5 |



##### Google-ai

| Display name | Position |
| --- | --- |
| DX | 1 |



##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Jellyfish | 3 |


- Prompt text: Which engineering intelligence platforms connect to our source control, ticketing and CI systems with the least configuration and data cleanup?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 3



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |
| Swarmia | 3 |
| DX | 4 |
| Faros AI | 5 |
| LinearB | 8 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| LinearB | 2 |
| Jellyfish | 3 |


- Prompt text: Which engineering intelligence vendors offer open APIs and custom data models so we aren't locked into their built-in metrics?


#### Brand position by platform

Chatgpt-search: 4
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Faros AI | 1 |
| Jellyfish | 4 |
| LinearB | 5 |
| DX | 6 |
| Waydev | 27 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Waydev | 4 |


- Prompt text: What tools let us export raw engineering metrics to our data warehouse so analysts can build custom reports?


#### Brand position by platform

Chatgpt-search: 9
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| DX | 2 |
| Jellyfish | 9 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which tools support software capitalization reporting for finance, based on actual engineering activity?


#### Brand position by platform

Chatgpt-search: 2
Google-ai: Not available
Perplexity: 2



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Allstacks | 1 |
| Jellyfish | 2 |
| Swarmia | 4 |



##### Google-ai

| Display name | Position |
| --- | --- |
| Allstacks | 3 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Swarmia | 1 |
| Jellyfish | 2 |
| Allstacks | 3 |
| LinearB | 5 |
| DX | 8 |


- Prompt text: What engineering analytics tools work well with an existing internal developer portal or service catalog so ownership data stays consistent?


#### Brand position by platform

Chatgpt-search: 2
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| DX | 1 |
| Jellyfish | 2 |
| LinearB | 3 |
| Swarmia | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| DX | 1 |


- Prompt text: Which engineering analytics tools handle a mix of cloud-hosted and self-managed engineering systems, with private deployment options for regulated companies?


#### Brand position by platform

Chatgpt-search: 11
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Waydev | 1 |
| DX | 4 |
| Faros AI | 9 |
| Jellyfish | 11 |
| Swarmia | 13 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Swarmia | 3 |


- Prompt text: What are the best engineering intelligence tools for showing the board how engineering time splits across new features, maintenance and unplanned work?


#### Brand position by platform

Chatgpt-search: 4
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: Which engineering intelligence platforms stay accurate and fast when ingesting data from thousands of repositories across a large enterprise?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LinearB | 3 |
| Swarmia | 5 |



##### Google-ai





##### Perplexity




- Prompt text: Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own?


#### Brand position by platform

Chatgpt-search: 1
Google-ai: Not available
Perplexity: 1



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |



##### Google-ai

| Display name | Position |
| --- | --- |
| LinearB | 2 |



##### Perplexity

| Display name | Position |
| --- | --- |
| Jellyfish | 1 |


- Prompt text: What platforms offer workflow automation, such as automatic pull request routing and review nudges, alongside DORA metrics?


#### Brand position by platform

Chatgpt-search: Not available
Google-ai: Not available
Perplexity: Not available



#### Platform rows



##### Chatgpt-search

| Display name | Position |
| --- | --- |
| LinearB | 1 |
| Swarmia | 4 |



##### Google-ai





##### Perplexity

| Display name | Position |
| --- | --- |
| LinearB | 1 |





## Top sources

| Url | Title | Domain | Logo url | Source vertical | Content type | Citation count | Last30d count |
| --- | --- | --- | --- | --- | --- | --- | --- |
| https://jellyfish.co/blog/dora-metrics-tools/ | 8 Top-Rated Tools for Measuring DORA Metrics | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | blog_post | 8 | 8 |
| https://jellyfish.co/ | Jellyfish: Software Engineering Intelligence Platform | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | product_page | 7 | 7 |
| https://jellyfish.co/library/developer-performance-benchmarking-platforms/ | 9 Best Developer Performance Benchmarking Platforms for 2026 | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | listicle | 7 | 7 |
| https://jellyfish.co/integrations/ | Platform Integrations | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | product_page | 6 | 6 |
| https://jellyfish.co/platform/devfinops/ | DevFinOps | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | product_page | 4 | 4 |
| https://jellyfish.co/library/tools-to-measure-ai-developer-productivity/ | 7 Modern Tools for Measuring AI Developer Productivity | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | listicle | 3 | 3 |
| https://jellyfish.co/library/developer-productivity-insight-platforms/ | 7 Developer Productivity Insight Platforms [Compared for 2026] | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | comparison | 3 | 3 |
| https://jellyfish.co/platform/data-hub/ | Data Hub \| Jellyfish | jellyfish.co | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/34df99c487b31acac71c1d2a27d7ffed50ba6d24.tone-opaque.png | commercial | product_page | 2 | 2 |



## Response excerpts

| Prompt text | Platform | Excerpt |
| --- | --- | --- |
| What should I look at when picking a developer productivity platform to replace homegrown spreadsheets and ad-hoc scripts for engineering reporting? | chatgpt-search | Website: DX Jellyfish Worth evaluating for engineering investment visibility, capacity allocation, delivery performance, and connecting engineering work to business priorities. |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | chatgpt-search | My initial shortlist would be DX, Jellyfish, LinearB, Swarmia and Faros AI. However, there's an important distinction: evidence of operating at 500+ developers is not automatically evidence of a deployment without substantial vendor services. |
| Which engineering intelligence platforms connect to our source control, ticketing and CI systems with the least configuration and data cleanup? | chatgpt-search | ...y is connecting source control, ticketing, and CI/CD with minimal setup and minimal manual data normalization, I would put Jellyfish, LinearB, and Swarmia at the top of the shortlist, with Faros AI worth evaluating for more complex enterprise environment... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Swarmia | ...eering intelligence, with individual data protected or deliberately de-emphasized. ## Platforms worth evaluating ### 1. Swarmia — Best starting point for team-first metrics Swarmia official website... |
| chatgpt-search | DX | gartner.com, standin.co ### 2. DX — Best for developer experience DX official website DX takes a somewhat different approach. |
| perplexity | Swarmia | Swarmia — combines delivery metrics with developer feedback and supports organization- and team-level views. |
| perplexity | LinearB | LinearB — worth evaluating if you want to connect Git, CI/CD, incident, and AI-tool data and define custom metrics transparently. |
| chatgpt-search | Swarmia | Milestone 4 — Enable Automation & Insights - HelpDocs & User SetupWorkerB - HelpDocs & User Setup LinearB website 2. Swarmia Strong team feedback loops - Slack and Teams notifications for review delays and working-agreement exceptions. |
| google-ai | Swarmia | Swarmia * How it surfaces insights: Swarmia focuses heavily on continuous improvement by bringing metrics, DORA data, and workflow bottlenecks where engineers already work. |
| chatgpt-search | DX | My recommendation is to shortlist DX, Apache DevLake, LinearB, Swarmia, and Jellyfish, with different choices depending on how much data normalization and customization you need. |
| perplexity | DX | DX — A good choice when you want delivery measures grounded in pull requests and deployments. |
| perplexity | Swarmia | Swarmia — A strong option for team-level delivery and productivity views with less process overhead. |
| chatgpt-search | Swarmia | 1. Swarmia Best overall fit Free for companies with fewer than 10 software developers - DORA metrics and delivery analytics. |
| google-ai | LinearB | LinearB * The Free Tier Details: LinearB offers a robust free tier that supports unlimited developers and unlimited repositories , making it exceptionally friendly for small teams. |
| chatgpt-search | Waydev | There are three particularly relevant options: Waydev, DX, and Faros AI. They differ significantly in how much control they give you over infrastructure and data. |



## Trend

Visibility delta: Not available
Avg position delta: Not available
Citation count delta: Not available