# LinearB AI visibility in Software Engineering Intelligence & Developer Productivity

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

[Website](https://linearb.io/)

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: 36
Share of voice percent: 18.25726141078838
Average position: 5.386363636363637
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 73.33333333333333


## Profile

Overview: LinearB is a software engineering intelligence and developer productivity platform that gives engineering leaders visibility into delivery performance and automates parts of the pull request workflow. Founded by Ori Keren and Dan Lines, it combines engineering metrics such as DORA and cycle time with gitStream workflow automation, AI code reviews, auto-generated PR descriptions and an MCP server. It also covers AI adoption and impact measurement, developer surveys, project forecasting, resource allocation and R&D cost capitalization. LinearB integrates with GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Slack and Microsoft Teams. It sells seat-based plans (Essentials and Enterprise) with usage-based AI credits and a 45-day free trial. Named customers in its case studies include Syngenta, Kraken, Yum! Brands and SurveyMonkey. The company has raised about $71M in venture funding.
Product summary: LinearB is an engineering productivity platform that pairs analytics and visibility (delivery metrics, DORA, AI impact, planning and forecasting, investment allocation) with developer-first automation (gitStream programmable workflows, AI code review, auto PR descriptions and Slack/Teams nudges). It also exposes an MCP server. It connects to Git providers, project-management tools and AI coding tools.


### Key capabilities

- Engineering metrics and DORA metrics (cycle time, PR pickup and review time, deployment frequency)
- gitStream programmable PR workflows (auto-assigning reviewers, labeling, auto-merging low-risk PRs)
- AI code reviews on every pull request
- Auto-generated PR descriptions
- AI impact and adoption measurement
- MCP server for AI-agent access to LinearB data
- Developer satisfaction surveys
- Project tracking, forecasting and resource allocation (Enterprise)
- R&D cost capitalization (Enterprise)
- WorkerB nudges in Slack and Microsoft Teams



### Target users

- Engineering leaders (VPs and directors of engineering)
- Developer experience and platform teams
- Engineering managers and team leads
- Software developers (PR automation and AI review)
- Finance and R&D leaders (cost capitalization)



### Key use cases

- Reducing cycle time and PR review bottlenecks
- Automating pull request policy, routing and approvals
- Measuring AI coding tool adoption and impact
- Tracking DORA metrics and delivery performance
- Forecasting project delivery and planning accuracy
- Reporting engineering investment allocation and R&D cost capitalization
- Improving developer experience through surveys and automation

Integrations ecosystem: LinearB connects to GitHub Cloud and Enterprise Server, GitLab (cloud and self-managed), Bitbucket (cloud and server) and Azure DevOps Repos. It also connects to project-management tools such as Jira and Azure DevOps Boards, and to Slack and Microsoft Teams. Its integrations directory lists 58 items, including many AI coding tools (for example Windsurf, Tabnine, Replit, Qodo and Sourcegraph). gitStream integrates with GitHub Copilot, Amazon Q and Claude Code, and with security tools including Snyk, SonarCloud, Dependabot, Renovate, Orca and Jit. An MCP server is included. Some plan limits apply: Essentials supports GitHub Cloud only.
Pricing summary: Published pricing has two plans, both billed annually and by contributor: Essentials at $29/user/month (built for 50+ developers, GitHub Cloud only, 1,000 monthly AI credits per user) and Enterprise at $59/user/month (built for 100+ developers, 1,500 credits per user, custom plans for large deployments). Extra credits start at $0.015. One automated PR consumes 100 credits. A 45-day free trial needs no credit card. Monthly billing is not offered. An AWS Marketplace listing also shows Business and Enterprise contract tiers.
Review summary: LinearB is rated 4.6/5 on G2 (80 reviews) and 4.5/5 on Gartner Peer Insights (26 ratings). Reviewers praise insightful metrics, a user-friendly interface, GitHub and Jira integration and customer support. Criticisms include integrations that could be stronger, Jira reliance, alert fatigue, rigid workflow customization, and pricing that some find high.
Competitive positioning: LinearB positions itself as an engineering productivity platform that combines delivery metrics (DORA, cycle time, planning accuracy) with developer-first workflow automation. The automation is gitStream, plus AI code review, PR automation and an MCP server. Its stated focus is managing AI's downstream effect on review, testing and release. Its pricing is published and seat-based, with a 45-day free trial. Jellyfish and DX do not publish pricing, and Swarmia lists a free tier and per-developer plans. Against Jellyfish, DX, Swarmia and Faros AI, LinearB's differentiator is built-in PR automation and AI review alongside analytics, rather than analytics, surveys or business alignment alone. Its Essentials plan is limited to GitHub Cloud and teams of 50 or more developers.
Limitations: Essentials ($29) is built for teams of 50+ developers and supports GitHub Cloud only. Jira, GitLab, Bitbucket, Azure DevOps, forecasting, cost capitalization and on-prem agents require Enterprise ($59, built for 100+ developers), per a third-party comparison. There is no free plan, only a 45-day trial, and billing is annual only. Pricing also has a usage-based credit component. One Gartner reviewer noted reliance on Jira, alert fatigue and clunky customization for unusual release pipelines. gitStream support for Bitbucket Cloud was documented as beta.


### Source urls

- https://linearb.io/
- https://linearb.io/pricing
- https://linearb.io/how-credits-work
- https://linearb.io/integrations
- https://linearb.io/platform/ai-code-reviews
- https://linearb.helpdocs.io/article/j2fsc8hphl-git-integration-hub
- https://docs.gitstream.com/integrations/
- https://techcrunch.com/2022/05/02/linearb-wants-to-help-development-teams-optimize-their-workflows/
- https://sacra.com/c/linearb/
- https://www.g2.com/products/linearb/reviews
- https://www.gartner.com/reviews/product/linearb
- https://www.g2.com/compare/linearb-vs-swarmia
- https://busfactor.tech/blog/engineering-intelligence-pricing
- https://linearb.io/case-studies/syngenta
- https://linearb.io/case-studies/yum
- https://linearb.io/case-studies/kraken
- https://linearb.io/case-studies/rabbit-care
- https://www.linkedin.com/posts/ori-keren-8254965_i-am-proud-to-share-that-linearb-has-secured-activity-6927193289850777600-8mSn

Research approved: 2026-11-05T21:22:57.873078+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| Syngenta | Using LinearB's SEI platform and workflow automation, Syngenta reduced cycle time and improved planning accuracy within six months. | 81% reduction in cycle time; 33% increase in planning accuracy |
| Yum! Brands | Yum! used LinearB workflow automation (gitStream) and AI to automate over 35% of its pull requests. | 321 developer hours/month saved |
| Kraken | Using LinearB and its MCP server alongside AI analysis, Kraken's engineering team cut 90th-percentile review time in four months, from 2 days 15 hours to 1 day 3 hours. | Review time cut by over 50% |
| Rabbit Care | With gitStream installed on every repo, Rabbit Care halved its idea-to-production cycle time while scaling the company. | 50% reduction in cycle time |
| Super.com | Super used custom team scorecards and data-driven coaching to improve cycle time and planning accuracy. The figure comes from a third-party case-study site. | 200% improvement in cycle time and planning accuracy |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.6 | 5 | 80 | https://www.g2.com/products/linearb/reviews |
| Gartner Peer Insights | 4.5 | 5 | 26 | https://www.gartner.com/reviews/product/linearb |



### Review themes



#### Praised

- Insightful metrics that help identify bottlenecks
- User-friendly interface
- GitHub and Jira integration for tracking engineering performance
- Strong customer support
- WorkerB Slack/Teams nudges for stalled PRs



#### Criticized

- Some integrations could be enhanced
- Reliance on Jira
- Alert fatigue
- Rigid customization for unique release pipelines
- Price seen as high by some reviewers




### Company facts

Founded year: 2019
Hq: Los Angeles, California, USA


#### Founders

- Ori Keren
- Dan Lines

Employees range: 51-200
Total funding: $71M
Valuation: Not available
Arr: Not available
Customer count: Not available
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 | 14 | 56.00000000000001 |
| google-ai | 2 | 8 |
| perplexity | 11 | 44 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which engineering analytics tools handle a mix of cloud-hosted and self-managed engineering systems, with private deployment options for regulated companies? | 1 | 1 |
| What platforms offer workflow automation, such as automatic pull request routing and review nudges, alongside DORA metrics? | 2 | 1 |
| Which engineering intelligence platforms stay accurate and fast when ingesting data from thousands of repositories across a large enterprise? | 1 | 3 |



## 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 |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | 3 |
| Which tools support software capitalization reporting for finance, based on actual engineering activity? | 3 |
| Which platforms measure the adoption, cost and real impact of AI coding assistants across teams and tools? | 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 | 3 |
| Developer Experience | 5 | 3 |
| Integrations & Ecosystem | 5 | 4 |
| Performance & Reliability | 5 | 4 |
| 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: Not available
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: 2
Google-ai: Not available
Perplexity: 1



#### 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: 4
Google-ai: Not available
Perplexity: 3



#### 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: 6
Google-ai: Not available
Perplexity: 4



#### 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: 6
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: 8
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: 6
Google-ai: Not available
Perplexity: Not available



#### 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: 5
Google-ai: Not available
Perplexity: 3



#### 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: 8
Google-ai: 1
Perplexity: 6



#### 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: 4



#### 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: 4
Google-ai: Not available
Perplexity: 1



#### 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: 8
Google-ai: Not available
Perplexity: 2



#### 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: 5
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: Not available
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: 5



#### 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: 3
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: Not available
Google-ai: Not available
Perplexity: 1



#### 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: 3
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: 2
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: 1
Google-ai: Not available
Perplexity: 1



#### 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://linearb.io/platform/engineering-metrics | Engineering Metrics from DORA to AI Impact \| LinearB | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | product_page | 7 | 7 |
| https://linearb.io/ | The productivity platform for modern engineering teams \| LinearB | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | landing_page | 6 | 6 |
| https://linearb.io/use-case/software-factory-context-layer | Context Layer for AI Agents and Engineering Data | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | product_page | 4 | 4 |
| https://linearb.io/pricing | LinearB Pricing | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | product_page | 3 | 3 |
| https://linearb.io/teams/finance | Engineering Finance: AI and R&D Spend Reporting | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | product_page | 2 | 2 |
| https://linearb.io/blog/free-dora-metrics-tools | The Best Free DORA Metrics Tools in 2024 \| LinearB Blog | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | blog_post | 2 | 2 |
| https://linearb.io/customers | LinearB customer references | linearb.io | https://izgwnlozsmjmqjsnddmg.supabase.co/storage/v1/object/public/domain-logos/9dbab6f8-54b2-49a0-8181-89a0ed130318/e11379d2-4226-4fa9-8070-29f568b246ec/0b82e07f6192474be0ee8db3c1a9e7235ad3075f.tone-dark.png | commercial | landing_page | 1 | 1 |
| https://assets.linearb.io/uploads/LinearB-Metrics-that-Matter-For-Engineering-Execution-Share.pdf | assets.linearb.io - LinearB Metrics that Matter For Engineering Execution Share.pdf | assets.linearb.io | Not available | commercial | article | 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 | Website: Jellyfish LinearB Worth evaluating for delivery metrics, PR workflow analytics, bottleneck identification, and workflow automation. |
| 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 | ...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 environments. |



## 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 | DX | 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. |
| google-ai | Uplevel | ### Alternative Models (Where Services Are Typically Required) Vendors like Uplevel or enterprise-heavy tiers of Jellyfish often approach rollouts for 500+ developers differently. |
| perplexity | Jellyfish | [1] Jellyfish is another candidate: it advertises fully self-service configuration and says it serves 1,000+ engineering organizations. |
| 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. |



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