Analytics & Data$20K-100K MRRMedium competition3-6 Monthsnew

ShipMetrics

Measure developer productivity from token to production across AI-assisted workflows

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● The Problem

Engineering leaders cannot measure the impact of AI coding tools on their teams. 85% of developers use AI tools, but CTOs have no data on whether AI-generated code ships faster, causes more bugs, or increases tech debt. Waydev launched "The New Waydev" on Product Hunt (April 2026) to measure the full AI SDLC. IBM launched IBM Bob (April 28, 2026) with self-documenting agentic processes. The gap is clear: traditional DORA metrics do not capture AI-assisted development patterns.

● The Solution

Connect your Git repos, CI/CD, and AI coding tools (Cursor, Copilot, Claude Code). Track which code was AI-generated vs human-written. Measure AI code acceptance rate, time-to-merge for AI PRs, bug density by origin, and review cycle impact. Show engineering leaders whether their AI tool investment is paying off.

Key Signals

MRR Potential

$20K-100K

Competition

Medium

Build Time

3-6 Months

Search Trend

rising

Market Timing

Waydev launched AI SDLC metrics on Product Hunt (April 2026). IBM Bob shipped with self-documenting agentic SDLC (April 28, 2026). 85% of developers use AI tools but only 12% of engineering leaders can measure the ROI. Cursor at $2B ARR and Copilot at 4.7M subscribers mean every team is spending on AI coding tools, but nobody can prove the value.

MVP Feature List

1Git integration with AI code origin detection
2AI acceptance rate tracking
3DORA metrics augmented with AI context
4Bug density comparison (AI vs human code)
5Review cycle impact analysis
6Team and individual productivity dashboards
7ROI calculator for AI tool spend

Suggested Tech Stack

Next.jsGoPostgreSQLGitHub APIClickHouseVercel

Go-to-Market Strategy

Free for teams under 10 developers. $15/dev/month for growth. Target engineering managers at companies spending $50K+/year on AI coding tools. Content: "Is your AI coding tool actually making your team faster?"

Target Audience

Engineering ManagersVP EngineeringCTOs at AI-Forward CompaniesDeveloper Experience Teams

Monetization

Per-Seat

Competitive Landscape

Waydev (Product Hunt April 2026) targets enterprise AI SDLC measurement. LinearB and Jellyfish measure developer productivity but lack AI-specific metrics. Pluralsight Flow tracks DORA but not AI code origin. No affordable tool exists that tells a CTO "your AI tools saved X hours and introduced Y bugs."

Why Now?

AI coding tool spend per engineering team exceeds $10K/month. CFOs are asking for ROI data. Waydev and IBM Bob launched AI SDLC products in April 2026, validating the category. The gap between AI tool adoption (85%) and measurement capability (12%) creates acute demand.

Tools & Resources to Get Started

ROI Calculator TAM Calculator Market Trends

Frequently Asked Questions

What problem does ShipMetrics solve?

How much MRR can ShipMetrics generate?

ShipMetrics has $20K-100K MRR potential with a Per-Seat model. The estimated build time is 3-6 Months with Medium competition in the market.

What are the MVP features for ShipMetrics?

Git integration with AI code origin detection. AI acceptance rate tracking. DORA metrics augmented with AI context. Bug density comparison (AI vs human code). Review cycle impact analysis. Team and individual productivity dashboards. ROI calculator for AI tool spend.

What is the go-to-market strategy for ShipMetrics?

Who is the target audience for ShipMetrics?

The primary target audience includes Engineering Managers, VP Engineering, CTOs at AI-Forward Companies, Developer Experience Teams. AI coding tool spend per engineering team exceeds $10K/month. CFOs are asking for ROI data. Waydev and IBM Bob launched AI SDLC products in April 2026, validating the category. The gap between AI tool adoption (85%) and measurement capability (12%) creates acute demand.

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