GitDebt - Technical Debt Quantifier for Engineering Teams

Automatically surfaces hidden technical debt by analyzing git history, code complexity, and test coverage gaps. Shows dollar cost of shipping slower due to messy code, making the invisible visible to CTOs and PMs.

Difficulty

intermediate

Overview

Technical debt is invisible until it compounds into a productivity killer. GitDebt connects to GitHub/GitLab, analyzes commit patterns, code age, test gaps, and complexity metrics, then calculates the actual cost in lost engineering velocity hours. Instead of vague 'we need to refactor' conversations, teams see quantified ROI for cleanup work. The product generates weekly reports showing which files are debt hotspots and how much time fixing them would save over 12 months.

Key Features

▸Weekly technical debt scoring across repos
▸Dollar-cost estimation for cleanup work
▸Hotspot identification and trend tracking
▸Slack alerts when debt accelerates
▸Roadmap impact calculator

Target Audience

Engineering managers and CTOs at 20-500 person tech companies. ~50,000 addressable teams. Typical buyer: CTO managing 8-40 engineers spending 15-30% time on debt.

Tech Stack

Next.js, GitHub API, git2json, PostgreSQL, Claude API for analysis — build with Cursor for backend logic, v0 for dashboard components, Bolt for the CLI tool.

Time to Ship

3 weeks

Business Model

SaaS subscription, freemium tier for single repo

Required Skills

GitHub API, git parsing, data visualization, SQL, some ML basics for pattern detection.

Resources

GitHub REST API docs, git2json library, Plotly for charts, PostgreSQL documentation, Claude API for text analysis.

Monetization Path

Free tier limited to 1 repo, 1 report per month. Conversion triggered when teams add second repo or need real-time alerts. Enterprise at $500/month for 200+ engineers.

Competition Level

Low

Estimated Monthly Cost

GitHub API: $15, Vercel hosting: $20, PostgreSQL (Supabase): $25, Claude API for analysis: $35, Slack integration: free. Total: ~$95/month.

Revenue Potential

Starter: $39/month (up to 5 repos, 20 engineers). Professional: $129/month (unlimited repos, team features). At month 6: 35 teams at $79/month average = $3,080 MRR. At month 12: 150 teams at $95/month = $14,250 MRR.

Build It Right

Core User Journey

Sign up with GitHub → authorize repos → first scan completes in 3 minutes → see top 3 debt hotspots with dollar estimates → invite team → upgrade to unlock alerts.

Success Definition

A CTO at a mid-size tech company discovers the product unprompted, runs a free scan, sees a specific debt hotspot they didn't quantify before, upgrades to paid, and invites their team to see the report.

Architecture Pattern

GitHub webhook → queue → clone repo → git2json parse → Claude API categorizes debt types → metrics computed in Postgres → stored as ProjectDebtReport → background job emails weekly digest → Slack hook fires alerts.

Integration Points

GitHub API for repo data, Slack API for alerts, Resend for email reports, Claude API for classification, Stripe for billing.

Data Model

User has many Organizations. Organization has many Repositories. Repository has many DebtScans. DebtScan has many DebtIssues. DebtIssue has type, severity, estimated_fix_hours, impact_score.

Avoid These Pitfalls

Do not spend weeks building perfect ML models before talking to customers — simple heuristics (test coverage % + LOC age + complexity) work. Do not launch with 15 metrics — 3 signals are enough to prove value. Do not support every VCS on day one; GitHub only.

V1 Scope Boundaries

V1 excludes: JIRA integration, custom debt classifications, auto-fix suggestions, team collaboration features, mobile app, Bitbucket/GitLab (GitHub only for launch).

Example Use Case

Sarah, CTO of a 35-person fintech startup, discovers that 8 developers are losing 120 hours per month to slow test runs in legacy auth service. GitDebt shows fixing it would cost 60 dev-hours but save 1,440 annually, making the business case to her CEO trivial. She upgrades to Professional and gets alerts when debt accelerates.

Challenges

Hard: determining which teams actually care about metrics vs. which are firefighting and can't spend time on cleanup. Churn risk if teams treat it as a report that nobody reads.

Success Metrics

Week 1: 150 GitHub OAuth signups. Week 3: 15 teams on free tier. Week 6: 4 paid trials converting to subscriptions.

MVP Scope

GitHub/GitLab auth, scan up to 5 repos, calculate 3 core debt signals (code age, test gaps, complexity), weekly email report, Slack webhook.

Launch & Validation Plan

Interview 15 CTOs at product-led companies about how they prioritize debt work. Offer free scanning to 10 teams in exchange for 30-min weekly feedback calls.

Customer Acquisition Strategy

First customer: DM 30 engineering managers in tech Slack communities offering free analysis of their largest repo. Then: Hacker News launch, dev.to posts on technical debt, ProductHunt, target subreddits r/webdev r/devops, sponsor engineering newsletters.

Competitive Advantage

Only tool quantifying debt in actual dollars, not abstract scores. Real-time alerts vs. manual dashboards. Built for non-data-science teams.