Jellyfish
UnclaimedTransform developer tool data into actionable productivity insights for R&D in the AI era.
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TL;DR - Jellyfish
- Unifies developer tool data for engineering productivity insights.
- Measures AI impact, optimizes resources, and improves delivery predictability.
- Standardizes engineering metrics and automates financial reporting for R&D.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Provides a comprehensive, unified view of engineering performance across the SDLC.
- Helps identify and resolve bottlenecks, leading to increased throughput and predictability.
- Automates financial reporting for R&D, saving time and ensuring compliance.
- Offers insights for improving developer experience and team satisfaction.
- Supports data-driven coaching and 1:1s for engineering managers.
Cons
- No free tier or public pricing information available, requiring a demo for cost details.
- Requires integration with existing tools, which might involve initial setup effort.
- Focuses heavily on engineering metrics, which might be less relevant for non-technical roles.
Ratings Across the Web
4.2(3 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
AI Impact Measurement (adoption, spend, productivity, speed, quality)Developer Productivity Insights (bottleneck identification, focus/flow improvement)Standardized Engineering Metrics (DORA, SPACE framework)Resource Optimization and Allocation VisibilityDelivery Predictability (capacity data, risk alerts, scenario modeling)Engineering Effort Alignment with Strategic PrioritiesTeam Performance Metrics, Trends, and RecommendationsDeveloper Experience Improvement (survey insights, workflow friction identification)
Pricing Plans
Contact Us
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- Engineering Management
- AI Impact
- Team Effectiveness
- DevFinOps
What is Jellyfish?
Jellyfish is a Software Engineering Intelligence Platform that unifies data from various developer tools to provide comprehensive insights into engineering productivity, efficiency, and impact. It helps R&D organizations, engineering leaders, managers, and product leaders understand how AI affects productivity, identify bottlenecks, and optimize resource allocation across the software development lifecycle (SDLC).
The platform enables organizations to standardize engineering metrics based on frameworks like DORA and SPACE, gain visibility into deliverables, and align engineering efforts with strategic priorities. It also assists in automating financial reporting for capitalization and R&D tax credits, and improving developer experience by identifying workflow friction. By integrating with a wide array of existing tools, Jellyfish provides a complete view of engineering health, allowing teams to make data-driven decisions to increase delivery predictability, elevate team performance, and ensure resources are focused on what matters most.
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Jellyfish FAQ
What is Jellyfish?
Jellyfish is a Software Engineering Intelligence Platform that collects and analyzes data from your developer tools to provide insights into engineering productivity, efficiency, and the impact of AI on your R&D organization. It helps leaders and managers optimize resources, improve delivery predictability, and standardize metrics.
How much does Jellyfish cost?
The pricing for Jellyfish is not publicly available on their website. You would need to request a demo to get specific pricing information.
Is Jellyfish free?
No, Jellyfish is a paid software product. There is no mention of a free tier or free trial on their website.
Who is Jellyfish for?
Jellyfish is designed for various roles within software engineering organizations, including Engineering Leaders, Engineering Managers, Platform Engineers, Product Leaders, Finance Teams, PMO & Eng Ops, and Developers. It helps them gain insights, optimize operations, and make data-driven decisions.
Source: jellyfish.co