# Allstacks AI visibility in Software Engineering Intelligence & Developer Productivity

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

[Website](https://www.allstacks.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: 5
Joint rank: true
Total brands: 9
Measured responses: 75
Presence percent: 5.333333333333334
Share of voice percent: 1.6597510373443984
Average position: 2
Docs presence percent: 0
Blog presence percent: 0
Brand mention percent: 12


## Profile

Overview: Allstacks is a Raleigh, North Carolina-based software company that provides an agentic software engineering intelligence platform. It ingests data from tools such as Jira, GitHub, GitLab, Jenkins and Azure DevOps into a Context Graph, which AI agents use to surface delivery risks, forecast completion dates, measure the impact of AI coding tools, and report on engineering investment. Its products are Software Engineering Intelligence, Software Cost Capitalization (audit-ready R&D capitalization reporting) and Product Studio, a workspace where product and engineering teams refine ideas into specs. Gartner describes it as serving mid-market and enterprise organizations in technology, financial services, retail and automotive, and notes SOC 2 Type II certification. Allstacks is private, has raised at least $25M according to the company, and has named customers including ShareFile, Intapp, Enverus and ndustrial.
Product summary: Allstacks is an agentic platform for product and software development teams. It combines Software Engineering Intelligence (delivery risk, forecasting, AI tool impact, DORA/SPACE/Flow metrics, developer surveys and investment reporting), Software Cost Capitalization (automated, audit-ready R&D capitalization reports) and Product Studio (an AI workspace for refining ideas into dev-ready specs). All three run on a shared Context Graph built from the customer's connected tools, so each insight traces back to the underlying work items and commits.


### Key capabilities

- Context Graph that connects and normalizes data across project, code, CI/CD, collaboration and documentation tools
- Continuous delivery risk detection with AI agents and root-cause tracing
- Predictive delivery forecasting of completion dates and capacity risks
- AI coding tool ROI measurement, correlating adoption with cycle time, defects and throughput
- Engineering performance analytics: DORA, SPACE and Flow metrics (130+ metrics per Gartner)
- Developer experience pulse surveys combined with delivery activity
- Portfolio and investment reporting, mapping effort to initiatives and strategic vs. KTLO work
- Software cost capitalization with audit-ready reports, without timesheets
- Product Studio workspace for idea refinement and dev-ready specs scored by AI reviewers
- Custom dashboards, goals and alerts, SSO/SAML and SOC 2 Type II



### Target users

- VPs of Engineering and CTOs
- Engineering managers and directors
- Product managers and product leaders
- Finance and accounting teams (software capitalization)
- Program and delivery managers (PMO)



### Key use cases

- Detecting delivery risk early and forecasting initiative completion dates
- Measuring the impact and ROI of AI coding assistants
- Tracking DORA, Flow and SPACE engineering performance metrics
- Reporting engineering investment allocation to executives and boards
- Automating software R&D cost capitalization reporting for finance and audit
- Planning and refining product requirements before engineering handoff
- Measuring developer experience and team health

Integrations ecosystem: Allstacks connects to project management tools (Jira, Azure DevOps, Linear), source control (GitHub, GitLab, Bitbucket) and CI/CD tools (Jenkins, CircleCI, GitHub Actions, Bitbucket Pipelines, Azure Pipelines). It also connects to collaboration and documentation tools such as Confluence and Slack. It lists hundreds of other integrations via webhooks and AI coding tools such as GitHub Copilot, Cursor and Claude. Allstacks says it does not limit or charge for integrations. Gartner describes the Context Graph as spanning 30-plus PDLC and SDLC tools. The platform is listed on AWS Marketplace and Microsoft AppSource.
Pricing summary: Allstacks publishes per-contributor annual pricing. Product Studio has a free Starter plan, which includes 250 credits a week and is free for a limited time. Software Engineering Intelligence has a Growth tier at $400 per contributor per year (up to 500 contributors, multitenant hosting, 24-hour support). Its Enterprise tier is $600 per contributor per year (minimum 100 contributors, unlimited contributors and history, single-tenant hosting, dedicated CSM). Software Cost Capitalization is $200 per contributor per year standalone, or bundled at a discount. Annual contracts apply to the intelligence and capitalization products, and volume discounts are available. AWS Marketplace lists Premium at $100,000 and Enterprise at $200,000 per 12 months. Some third-party sites report higher Enterprise per-contributor rates, so confirm directly with Allstacks.
Review summary: Allstacks is rated about 4.5 out of 5 on G2 (57 reviews) and on Gartner Peer Insights (63 ratings). PeerSpot shows 4.0 out of 5 from 4 reviews. Reviewers praise unified visibility across Jira, GitHub and CI/CD tools, predictive insights, benchmarking metrics, and strong support. Common criticisms are once-daily data refresh and a setup and configuration effort that can be significant.
Competitive positioning: Allstacks positions itself as an agentic software engineering intelligence platform. It connects data from tools such as Jira, GitHub, GitLab and Jenkins into a Context Graph. Agents then surface delivery risk, forecast delivery, and measure the impact of AI coding tools. Its differentiators, per its own materials, are predictive forecasting and risk detection, automated software cost capitalization (R&D capitalization) reporting, and Product Studio, a newer workspace for product planning. Gartner lists it in the Developer Productivity Insight Platforms market and describes it as serving mid-market and enterprise organizations. Its published pricing is per contributor and its G2 reviews skew mid-market (about 55%). I did not verify head-to-head comparisons against specific competitors.
Limitations: Reviewers on G2 and Gartner Peer Insights mention that data typically refreshes once a day rather than in real time. Some reviewers also say initial setup, dashboard configuration and tuning can be challenging or need admin or CSM help. Gartner reviewers note that survey collection is not a primary focus. One aggregator also reports some users wanting more individual-level metrics and broader automation beyond alerts. Enterprise pricing and the Software Engineering Intelligence trial are sales-led, with no self-serve trial. Free access is limited to Product Studio, which is a newer product.


### Source urls

- https://www.allstacks.com/
- https://www.allstacks.com/product/software-engineering-intelligence
- https://www.allstacks.com/pricing
- https://www.allstacks.com/integrations
- https://www.allstacks.com/customer-stories
- https://www.allstacks.com/customer-stories/enverus
- https://allstacks.ai/customer-stories/sharefile
- https://allstacks.ai/customer-stories/intapp
- https://allstacks.ai/customer-stories/ndustrial
- https://www.allstacks.com/blog/allstacks-announces-10m-in-series-a-funding
- https://www.formds.com/issuers/allstacks-inc
- https://www.owler.com/company/allstacks/funding
- https://pitchbook.com/profiles/company/179795-08
- https://www.cbinsights.com/company/allstacks
- https://www.gartner.com/reviews/product/allstacks-platform
- https://www.g2.com/it/products/allstacks/reviews
- https://www.peerspot.com/products/allstacks-reviews
- https://aws.amazon.com/marketplace/pp/prodview-dp5hhg6bmmcls
- https://www.rfp.wiki/it-security/software-development/developer-productivity-insight-platforms/allstacks

Research approved: 2026-11-05T21:22:57.744078+00:00


### Customer outcomes

| Customer | Summary | Metric |
| --- | --- | --- |
| ShareFile | With 40 engineering teams, ShareFile used Allstacks to prioritize projects, forecast completion and evaluate engineering performance. It reported a 32% decrease in cycle time and a 25% decrease in pull request response time. | 32% decrease in cycle time |
| Enverus | Enverus automated software capitalization reporting with Allstacks. It cut the time spent gathering required data by 70%, reduced human effort to audit the data by 90%, and shortened month-end close time. | 70% reduction in data-gathering time |
| Intapp | Intapp gained visibility into where engineering effort goes. Its collaboration team doubled, and its compliance team tripled, their focus on strategic innovation compared with the previous year's quarterly data. | Up to 3x increase in focus on strategic innovation |
| ndustrial | ndustrial used Allstacks to put a mission-critical product rebuild back on track, with predictable project status for leadership. It reported saving reporting time and accelerating developer velocity. | 120 hours (about $12k) saved quarterly on reporting; 3x developer velocity |



### Reviews breakdown

| Platform | Score | Score max | Review count | Url |
| --- | --- | --- | --- | --- |
| G2 | 4.5 | 5 | 57 | https://www.g2.com/products/allstacks/reviews |
| Gartner Peer Insights | 4.5 | 5 | 63 | https://www.gartner.com/reviews/product/allstacks-platform |
| PeerSpot | 4 | 5 | 4 | https://www.peerspot.com/products/allstacks-reviews |



### Review themes



#### Praised

- Unified view across Jira, GitHub and CI/CD tools
- Intuitive, easy-to-understand dashboards
- Predictive insights that flag risks early
- Benchmarking metrics such as cycle time and delivery risk
- Responsive support and onboarding
- Robust data aggregation and access control



#### Criticized

- Data updates only once a day, limiting real-time visibility
- Initial setup and dashboard tuning can be challenging
- Deeper configuration often needs admin or CSM help
- Survey collection is not a primary focus




### Company facts

Founded year: 2017
Hq: Raleigh, North Carolina, USA


#### Founders



Employees range: 11-50
Total funding: $25M+ (company-stated, Aug 2024; tracker
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 | 1 | 4 |
| google-ai | 1 | 4 |
| perplexity | 2 | 8 |



## Strengths

| Prompt text | Platform count | Avg position |
| --- | --- | --- |
| Which engineering analytics platforms forecast delivery risk and roadmap slippage across multiple teams and initiatives? | 1 | 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 |
| What engineering intelligence vendors have a track record of rolling out to 500+ developers without a long services engagement? | 3 |
| Which engineering intelligence platforms integrate with the widest range of source control, issue tracking, incident and CI/CD tools? | 3 |
| What are the best tools that combine developer sentiment surveys with delivery data to find what slows teams down? | 3 |
| Which tools give engineering leaders useful benchmarks against industry peers in the first month, before we have much history of our own? | 3 |



## Topic scores

| Topic name | Prompt count | Cited prompt count |
| --- | --- | --- |
| Capability | 5 | 2 |
| Developer Experience | 5 | 0 |
| Integrations & Ecosystem | 5 | 0 |
| Performance & Reliability | 5 | 0 |
| Setup & First Run | 5 | 0 |



## 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: 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: Not available
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: 1



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



#### 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: Not available
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: 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://www.allstacks.com/product/software-cost-capitalization | Allstacks capitalization product | allstacks.com | Not available | commercial | product_page | 2 | 2 |
| https://www.allstacks.com/product/software-engineering-intelligence | Software Engineering Intelligence \| Allstacks | allstacks.com | Not available | commercial | product_page | 1 | 1 |
| https://www.allstacks.com/blog/take-the-pain-out-of-software-capitalization-with-allstacks | Take the Pain out of Software Capitalization with Allstacks | allstacks.com | Not available | 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 | Website: Swarmia Allstacks Worth evaluating for delivery forecasting, risk analysis, engineering analytics, and connecting development activity across tools. |
| Which tools support software capitalization reporting for finance, based on actual engineering activity? | chatgpt-search | ## Leading software capitalization tools 1. Allstacks Strong fit - Uses commits, pull requests, Jira tickets, and other SDLC activity. |
| Which engineering analytics platforms forecast delivery risk and roadmap slippage across multiple teams and initiatives? | chatgpt-search | Project forecasting · Forecasting methodology ForecastingFeatures -Start HereLinearB Project Forecasting 3. Allstacks Strong forecasting specialist - Predictive delivery analytics for projects and milestones. |



## 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 | DX | If your primary criterion is the widest integration coverage across source control, issue tracking, incident management, and CI/CD, I would put DX (GetDX), Jellyfish, LinearB, and Swarmia at the top of the shortlist. |
| chatgpt-search | Jellyfish | If your primary criterion is the widest integration coverage across source control, issue tracking, incident management, and CI/CD, I would put DX (GetDX), Jellyfish, LinearB, and Swarmia at the top of the shortlist. |
| google-ai | Waydev | Waydev / LinearB (gitStream): Known for having some of the broadest plug-and-play integration ecosystems. |
| perplexity | Jellyfish | Jellyfish and LinearB appear to have the broadest documented coverage overall, with Swarmia also offering strong integrations across the four categories. |
| perplexity | LinearB | Jellyfish and LinearB appear to have the broadest documented coverage overall, with Swarmia also offering strong integrations across the four categories. |



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