# DX AI visibility in Software Engineering Intelligence & Developer Productivity

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

[Website](https://getdx.com/)

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: 4
Joint rank: false
Total brands: 9
Measured responses: 75
Presence percent: 22.666666666666664
Share of voice percent: 18.25726141078838
Average position: 8.045454545454545
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 40


## Profile

Overview: DX is an engineering intelligence platform, also described as a developer intelligence platform, that helps engineering and R&D leaders measure and improve developer productivity, developer experience and the impact of AI on software delivery. It combines quantitative system data from tools such as GitHub and Jira with self-reported developer survey data. It uses research-based frameworks including DX Core 4 and the Developer Experience Index. Its leadership includes researchers behind the SPACE and DevEx frameworks. Customers named by DX and the press include Pinterest, GitHub, Pfizer, Vercel, Dropbox and Block. Atlassian announced in September 2025 that it would acquire DX for about $1 billion and completed the deal in November 2025. DX is now being integrated into Atlassian's software offerings, including its Compass successor, DX Fabric.
Product summary: DX is a SaaS engineering intelligence platform. It collects self-reported developer feedback (Snapshots, Studies, PlatformX) and system metrics into a single-tenant data lake. It layers on DX Core 4 and DXI measurement, AI measurement and enablement (Fabric, MCP), benchmarking and reporting. Engineering leaders and platform teams use it to see where developers are slowed down, track AI's impact and prioritize investments.


### Key capabilities

- Developer experience surveys (Snapshots, Studies) combined with system metrics
- DX Core 4 framework and Developer Experience Index (DXI)
- AI Measurement: track AI-generated code by commit, PR, team, agent and repo
- Fabric / AI enablement: software catalog and context layer for AI agents, with an MCP server
- PlatformX for real-time feedback on internal tools and platforms
- Single-tenant data lake with 40+ prebuilt reports and AI-assisted custom reporting
- Industry and direct peer benchmarking
- Scorecards and software standards defined with SQL



### Target users

- CTOs, VPs of Engineering and R&D leaders
- Platform engineering and developer experience teams
- Engineering managers
- Enterprise and mid-market software organizations



### Key use cases

- Measuring and improving developer experience and productivity
- Measuring AI adoption, impact and cost across engineering
- Finding SDLC bottlenecks and prioritizing engineering investments
- Giving platform teams feedback on internal tools and platforms
- Benchmarking engineering performance against peers
- Building a software catalog and AI-readiness scorecards

Integrations ecosystem: DX says it offers the industry's most comprehensive library of data connectors. It unifies data from engineering tools into a single-tenant data lake with over 40 out-of-the-box reports and AI-assisted custom reporting. The DX MCP connects AI agents to SDLC data. DX is available on AWS Marketplace. Atlassian says DX will be integrated into its System of Work alongside Jira, Bitbucket, Bitbucket Pipelines, Compass and Rovo Dev. DX states that 95%+ of its customers use at least one Atlassian app and that it will keep investing in third-party integrations.
Pricing summary: DX does not publish list pricing. Its pricing is quote-based, and third-party sources describe per-developer licensing with annual contracts. The AWS Marketplace listing shows a 12-month contract at $15,000 for platform access, plus $672 per additional active contributor. G2 shows no entry-level price.
Review summary: G2 shows 4.5/5 from 384 reviews, and Gartner Peer Insights shows 4.6 from 127 ratings. G2's summary says reviewers praise the blend of quantitative and qualitative data, dashboards and visualization, and AI adoption reporting. The recurring complaint is the overwhelming volume of metrics and reports. DX also reports being #1 in G2's Spring 2026 Grid for Software Development Analytics Tools.
Competitive positioning: DX positions itself as a research-grounded engineering intelligence platform. It combines system metrics from tools like GitHub and Jira with self-reported developer survey data, using frameworks such as DX Core 4, the Developer Experience Index (DXI) and an AI Measurement Framework. DX's own comparison page says other platforms focus on narrower areas such as workflow automation, CapEx reporting or leadership dashboards. It also cites metric transparency (down to the SQL) and enterprise scale. Since November 2025 DX has been part of Atlassian. It was named a Leader in the inaugural 2026 Gartner Magic Quadrant for Developer Productivity Insight Platforms, and it was ranked #1 in G2's Spring 2026 Grid for Software Development Analytics Tools. Both are per DX's own announcements.
Limitations: Pricing is not published. G2 reviewers say the volume of metrics and reports can feel overwhelming and hard to navigate. G2 also shows lower category scores for planning tools (7.4/10) and impact predictions (7.5/10). Third-party commentary says DX is aimed at mid-to-large enterprises with sales-led contracts, with no self-serve trial. Packaging and roadmap may change under Atlassian ownership.


### Source urls

- https://getdx.com/
- https://getdx.com/compare-dx/
- https://getdx.com/blog/platform-teams-guide-to-dx/
- https://getdx.com/platform/data-lake/
- https://getdx.com/ai-enablement/
- https://getdx.com/blog/dx-is-joining-atlassian/
- https://techcrunch.com/2025/09/18/atlassian-acquires-dx-a-developer-productivity-platform-for-1b/
- https://www.reuters.com/technology/atlassian-acquire-dx-1-billion-deal-2025-09-18/
- https://www.businesswire.com/news/home/20251110683591/en/Atlassian-Completes-Acquisition-of-DX-Advancing-Engineering-Intelligence-for-Enterprises
- https://getdx.com/news/dx-named-a-leader-gartner-magic-quadrant-developer-productivity/
- https://www.g2.com/products/dx-platform/reviews
- https://www.gartner.com/reviews/product/dx
- https://aws.amazon.com/marketplace/pp/prodview-uzmgn2hdomuqa
- https://getdx.com/customers/github-reclaims-72000-engineering-hours/
- https://getdx.com/customers/pfizer-saves-5m-a-year-by-improving-developer-workflows-with-dx/
- https://getdx.com/customers/vercel-reduces-cycle-times-by-43-with-dx/
- https://getdx.com/customers/siriusxm-achieves-8m-in-productivity-gains-with-dx/
- https://getdx.com/customers/block-identifies-500k-hours-of-reclaimable-developer-time-with-dx/
- https://gitdailies.com/compare/dx/
- https://www.atlassian.com/blog/company-news/the-next-chapter-for-compass

Research approved: 2026-11-05T21:22:58.652765+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| GitHub | GitHub used DX to cut friction across its monolith and services, reaching a 95% participation rate and a 6-point improvement in DXI. DX's case study says this reclaimed 72,000 engineering hours annually. | 72,000 hours/year |
| Pfizer | Pfizer used DX insights to reduce incident resolution time by 33% and increase deployment frequency by 22% within 12 months. This cut over 38,000 hours of engineering time waste annually. | $5M+ saved per year |
| Vercel | Vercel invested in CI tooling and release workflows after DX surfaced bottlenecks. Average pull request cycle time fell from 4.6 to 2.7 hours. | 43% reduction in PR cycle time |
| SiriusXM | SiriusXM reduced developer time lost to inefficiencies from 23% to 19%. That is equivalent to adding 26 full-time engineers. | $8M annual productivity gains |
| Block | DX helped Block identify reclaimable developer time across local environments, CI delays and redundant tools. | 500,000+ hours/year identified |
| Intercom | DX feedback led Intercom to move from remote to local development setups. This reduced developer time lost. | 20% reduction in developer time lost |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.5 | 5 | 384 | https://www.g2.com/products/dx-platform/reviews |
| Gartner Peer Insights | 4.6 | 5 | 127 | https://www.gartner.com/reviews/product/dx |



### Review themes



#### Praised

- Blend of quantitative and qualitative data
- Dashboards and data visualization
- AI adoption reporting
- Ease of use and powerful insights
- Quick, insightful snapshot surveys with high completion rates
- Quality of support



#### Criticized

- Overwhelming volume of metrics and reports that are hard to navigate
- Weaker planning tools and impact predictions scores
- Pricing not published




### Company facts

Founded year: Not available
Hq: Salt Lake City, UT, USA


#### Founders

- Abi Noda

Employees range: Not available
Total funding: <$5M
Valuation: ~$1B (Atlassian acquisition price)
Arr: Not available
Customer count: 350+ enterprise customers
Status: Acquired by Atlassian (NASDAQ: TEAM), Nov 2025


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 | 12 | 48 |
| google-ai | 2 | 8 |
| perplexity | 3 | 12 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which platforms measure the adoption, cost and real impact of AI coding assistants across teams and tools? | 1 | 1 |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | 1 | 1 |
| Which engineering intelligence platforms integrate with the widest range of source control, issue tracking, incident and CI/CD tools? | 1 | 1 |
| What are the best tools that combine developer sentiment surveys with delivery data to find what slows teams down? | 2 | 1 |
| What engineering analytics tools work well with an existing internal developer portal or service catalog so ownership data stays consistent? | 2 | 1 |



## Gaps

| Prompt text | Competitor presence count |
| --- | --- |
| Which developer productivity platforms sync with HR and payroll systems to attribute engineering investment by team and cost? | 3 |
| Which tools support software capitalization reporting for finance, based on actual engineering activity? | 3 |
| Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own? | 3 |
| Which engineering analytics platforms can a 40-person engineering team set up in an afternoon to get baseline cycle time and deployment metrics? | 2 |
| Which engineering intelligence tools surface insights in team chat and pull requests, so engineers don't need another dashboard? | 2 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 2 |
| Developer Experience | 5 | 2 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 4 |
| Setup & First Run | 5 | 1 |



## 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: 1
Google-ai: Not available
Perplexity: Not available



#### 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: Not available



#### 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: 2
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available



#### 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: 1
Google-ai: Not available
Perplexity: Not available



#### 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: 1
Google-ai: Not available
Perplexity: 2



#### 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: 1
Google-ai: Not available
Perplexity: Not available



#### 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: Not available



#### 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: 10
Google-ai: 1
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: Not available



#### 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: 1
Google-ai: 1
Perplexity: Not available



#### 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: 4
Google-ai: Not available
Perplexity: Not available



#### 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: 6
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: 2
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: 8



#### 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: 1
Google-ai: Not available
Perplexity: 1



#### 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: 4
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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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: Not available
Google-ai: Not available
Perplexity: Not available



#### 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://getdx.com/ | DX: Developer Intelligence Platform | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | blog_post | 6 | 6 |
| https://getdx.com/connectors/ | DX Connectors | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | product_page | 4 | 4 |
| https://getdx.com/blog/dora-metrics-tools/ | DORA metrics tools in 2026: What to measure, and what's missing | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | blog_post | 3 | 3 |
| https://getdx.com/platform/data-lake/ | DX Data Lake | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | product_page | 2 | 2 |
| https://docs.getdx.com/reports/dora-metrics/ | Setting up DORA metrics | docs.getdx.com | Not available | commercial | documentation | 2 | 2 |
| https://getdx.com/customers/plaid-fully-stands-up-metrics-in-three-weeks-with-dx/ | Plaid implementation case study | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | landing_page | 1 | 1 |
| https://getdx.com/customers/ | DX customer references | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | listicle | 1 | 1 |
| https://getdx.com/blog/our-commitment-to-data-neutrality/ | Our commitment to data neutrality | getdx.com | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/a5e08c608e32d5c5c890e2a73d2743c329321563.tone-opaque.png | commercial | blog_post | 1 | 1 |



## 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 | DX Strong candidate for developer experience measurement, engineering effectiveness, and combining quantitative engineering telemetry with developer feedback. |
| 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 | ...Azure DevOps \| Jira, Linear, Azure Boards \| GitHub Actions, Deployments API \| Low for supported stacks; medium otherwise \| \| DX \| GitHub, GitLab, Bitbucket, Azure DevOps \| Jira, Linear, Shortcut, Azure DevOps \| Jenkins, CircleCI, GitHub Actions, Buildki... |



## Competitor excerpts

| Platform | Competitor name | Excerpt |
| --- | --- | --- |
| chatgpt-search | Jellyfish | The strongest candidates are Jellyfish, Swarmia, LinearB, and Faros AI. They differ in how deeply they integrate HR and payroll data versus simply estimating engineering effort. |
| chatgpt-search | Swarmia | The strongest candidates are Jellyfish, Swarmia, LinearB, and Faros AI. They differ in how deeply they integrate HR and payroll data versus simply estimating engineering effort. |
| google-ai | Swarmia | Swarmia * How it handles the connection: Swarmia integrates with your HRIS to account for part-time schedules, employee locations, vacations, and sick leave. |
| perplexity | Jellyfish | Jellyfish — combines engineering activity with roster, HR, payroll, and cost data to calculate team and initiative-level effort and cost, and to support capitalization reporting. |
| chatgpt-search | Allstacks | ## Leading software capitalization tools 1. Allstacks Strong fit - Uses commits, pull requests, Jira tickets, and other SDLC activity. |
| chatgpt-search | Jellyfish | Source: Allstacks capitalization product 2. Jellyfish Strong fit - Collects engineering signals from across the development stack. |
| google-ai | Allstacks | \| \| Allstacks (Software Cost Capitalization) \| Integrations: Jira, GitHub, Azure DevOps, Linear, Slack. |
| perplexity | Swarmia | Swarmia — estimates effort from pull requests, commits, code reviews, and issue-tracker activity, then produces monthly or annual reports with traceable supporting data. |
| perplexity | Jellyfish | Jellyfish — combines signals such as tickets, commits, and reviews with roster and cost data to calculate engineering effort and report capitalizable work. |
| perplexity | Allstacks | Allstacks — connects commits and work items to projects, applies finance-defined rules, and generates reports with an evidence trail back to the underlying activity. |
| chatgpt-search | Jellyfish | Source: 9 Best Developer Performance Benchmarking Platforms for 2026Best Engineering Metrics Tools for Managers 2026 DX website 2. Jellyfish Best for executive visibility - External benchmarks across engineering organizations. |
| google-ai | LinearB | LinearB * What it does: Focuses heavily on workflow metrics, DORA metrics, and project predictability. |



## Trend

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