Hivel
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About
Hivel is a productivity insights and engineering analytics platform designed to provide CTOs, VPs of Engineering, and Engineering Managers with a comprehensive view of their software development lifecycle (SDLC). By integrating data from various development tools, Hivel transforms raw activity into actionable signals, helping leaders balance human effort with AI-assisted workflows. The platform addresses the growing complexity of modern engineering by correlating AI adoption directly with business metrics like speed, quality, and throughput. It moves beyond basic metrics to identify root causes of delivery delays and forecast potential risks before they impact revenue. The tool features a specialized AI Code Review Agent that acts as a first line of defense in the pull request process. Instead of replacing human reviewers, the agent automates the identification of risky code, missing tests, and security vulnerabilities, allowing human engineers to focus on high-level architecture and logic. This dual approach helps enforce consistent engineering standards across the organization while reducing reviewer fatigue. Additionally, Hivel offers detailed Dev360 views and activity dashboards that facilitate data-driven conversations during 1-on-1s and performance appraisals, replacing subjective guesswork with objective performance indicators. Hivel is specifically built for engineering leadership roles, including CXOs, VPs, and Engineering Managers who need to justify AI spend and improve operational efficiency. It serves teams ranging from early-stage startups to large enterprises that require sophisticated compliance and diverse revenue stream management. By providing a single pane of glass for both AI and non-AI workflows, it helps organizations identify where AI-written code might be causing rework or review churn, ensuring that technology investments translate into actual increases in revenue per engineer. What distinguishes Hivel from general engineering management platforms is its deep focus on the AI + Human workflow. While many tools offer DORA metrics or basic Git analytics, Hivel provides specific modules to measure GenAI ROI and spot wasted AI spend where high usage does not result in quality gains. It bridges the gap between technical output and business impact, offering personalized dashboards that allow leaders to present progress to executive stakeholders with clarity. Its ability to catch vulnerabilities and coverage gaps before merging makes it a proactive quality assurance tool rather than just a retrospective reporting engine.
Pros & Cons
Provides specific ROI metrics for AI tool adoption and impact on engineering speed.
Automates initial code reviews to flag security gaps and missing tests before human review.
Integrates human and AI developer workflows into a single consolidated dashboard.
Supports 1-on-1 meetings with objective Dev360 performance and activity metrics.
Claims significant improvements in deployment frequency, with one user reporting a 157% increase.
Pricing is based on a per-contributor model, which may become expensive for very large teams.
Free plan is specifically marketed toward early-stage startups, suggesting limited features for larger teams.
Full benefits require annual billing for the listed monthly rates on paid plans.
Platform's advanced AI ROI tracking requires teams to already be using AI coding tools extensively.
Use Cases
CTOs can use Hivel to correlate AI tool investments with actual business throughput and revenue per engineer to prove ROI.
Engineering Managers can utilize Dev360 dashboards during one-on-ones to provide data-driven feedback and reward high performers fairly.
VPs of Engineering can identify root causes of delivery delays and bottleneck patterns to safeguard project timelines and revenue.
DevOps teams can deploy the AI Code Review Agent to catch vulnerabilities and coverage gaps early in the SDLC, reducing rework.
Early-stage startup founders can use the free plan to establish a data-driven engineering culture from day one without upfront costs.
Platform
Features
• executive dashboards
• automated security guardrails
• deployment frequency analysis
• dev360 metrics
• predictive risk forecasting
• full-sdlc analytics
• ai code review agent
• ai adoption tracking
FAQs
How does Hivel help measure the ROI of AI tools?
Hivel correlates AI usage with speed, quality, and throughput metrics to see if tools like Copilot are actually improving business outcomes. It helps spot wasted spend where usage is high but quality gains are stagnant.
What does the AI Code Review Agent actually do?
The agent performs initial PR reviews by automatically flagging risky code patterns, security vulnerabilities, and missing test coverage. This reduces human reviewer fatigue and ensures consistent standards are met before a person steps in.
Can Hivel help with performance reviews?
Yes, the Dev360 and Activity features provide objective metrics that managers can use during appraisals and 1-on-1s. It helps identify rework patterns and high-impact contributors without relying on manual reporting.
Is there a free version of Hivel available?
Yes, Hivel offers a Free plan specifically designed for early-stage startups that want to launch quickly. For larger or scaling teams, they offer paid tiers starting at $20 per contributor.
How does Hivel improve deployment frequency?
By identifying inefficiencies in cycle times and development workflows, Hivel provides insights that help teams remove bottlenecks. One CTO reported a 157% improvement in deployment frequency after implementing these data-driven adjustments.
Pricing Plans
Growing teams
USD20.00 / per month per contributor billed annually• Best for fast growing scale ups
• Expand into new markets
• Product expansion tools
Enterprise
USD35.00 / per month per contributor billed annually• Enterprise-class compliance
• Diversifying revenue streams
• Large business support
Job Opportunities
Growth & GTM Engineer
Gain visibility into AI and human software development lifecycles to improve code quality, accelerate delivery, and measure the real ROI of generative AI tools.
Benefits:
Early-stage leverage
Real ownership
High Learning Velocity
High trust, high autonomy
Experience Requirements:
2 to 4 years
Proven track record in B2B Growth, Demand Gen, or Marketing Ops
Other Requirements:
HubSpot (CRM/MA), Clay (Enrichment), GA4, and Automation/IPaaS tools
Expertise in Zapier/n8n/make.com, APIs, SQL, and CRM architecture
Systems Thinker: You build for reuse and scalability
High proficiency in data interpretation and experiment design
Responsibilities:
GTM Architecture & Strategic Modeling
Technical Stack & Data Engineering
Campaign Engineering & AI Implementation
Full-Funnel Analytics & Optimization
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Demand Generation Lead
Gain visibility into AI and human software development lifecycles to improve code quality, accelerate delivery, and measure the real ROI of generative AI tools.
Benefits:
Early-stage leverage
Real ownership
High Learning Velocity
High trust, high autonomy
Experience Requirements:
2 to 5 years
Scaled demand at a B2B SaaS startup from ~$1M ARR to $10M+
Other Requirements:
Hands-on and deeply fluent in LinkedIn Campaign Manager and Google Ads
Understand the math behind CAC, LTV, and payback periods
Analytical, experimental, and comfortable owning a number
Thrive in fast-moving, high-ownership environments
Responsibilities:
Own the pipeline and top-of-funnel performance
Manage and optimize budget across LinkedIn, Google Search, and Meta
Dominate category keywords for high-intent search
Execute ABM campaigns targeting C-suite and senior engineering leaders
Partner with design to iterate on ad creative based on data
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Founding Account Executive – US
Gain visibility into AI and human software development lifecycles to improve code quality, accelerate delivery, and measure the real ROI of generative AI tools.
Benefits:
Competitive salary with meaningful upside
Comprehensive health insurance
Generous vacation policy
Curated set of paid holidays
Experience Requirements:
2 to 5 years
2–4 years selling B2B SaaS to US mid-market and enterprise
Proven track record of quota-crushing performance
Other Requirements:
Fast learner who thrives in new categories
High-energy, empathetic, and clear communicator
Independent, proactive, and comfortable in early-stage environments
Responsibilities:
Source, qualify, and close high-impact opportunities
Build and nurture a strong pipeline through outbound motion
Engage customers through virtual and in-person demos
Hit and exceed revenue targets
Partner with product and engineering for successful POCs
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Ratings & Reviews
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