LicenseGuard — Dependency License Compliance Scanner
Paste your package.json, requirements.txt, or connect your GitHub repo and instantly get a full license audit of every dependency. Know exactly which packages are MIT-safe, which are GPL-risky, and which are commercial-use-restricted — with a downloadable compliance report in seconds.
Difficulty
intermediate
Category
Developer Tools
Market Demand
High
Revenue Score
7/10
Platform
Web App
Vibe Code Friendly
⚡ YesHackathon Score
🏆 7/10
Validated by Real Pain
— sourced from real search demand
Developers are actively searching for a practical way to identify and track the open-source licenses of their project dependencies to stay compliant with commercial use restrictions.
What is it?
LicenseGuard scans your project's dependency files and surfaces the license type of every package, flagging those that conflict with commercial or proprietary use. It groups dependencies by risk level (safe, review-needed, blockers), explains what each license actually means in plain English, and generates a PDF/CSV compliance report you can hand to legal or a client. Developers at startups and agencies waste hours manually checking licenses on npm, PyPI, and GitHub — LicenseGuard collapses that research into a 10-second scan. The AI layer (Claude) explains edge cases like LGPL dynamic linking exceptions or dual-licensed packages so you don't need a lawyer for routine checks. It stores scan history so you can re-run on each release and get a diff of new license risks introduced.
Why now?
SBOM (Software Bill of Materials) requirements are being mandated by US Executive Order 14028 for government software suppliers, and enterprise procurement teams are now routinely demanding license attestation from their SaaS vendors — creating a wave of smaller dev teams suddenly needing compliance documentation they've never needed before.
- ▸Instant multi-ecosystem scan: paste package.json, requirements.txt, Gemfile, or go.mod and get every dependency's license identified and risk-categorized (green/yellow/red) in under 10 seconds
- ▸Plain-English AI license explainer: Claude explains what each flagged license means for your specific use case (commercial SaaS, internal tool, open-source) without legalese
- ▸One-click PDF/CSV compliance report: downloadable SBOM-style report listing all dependencies, their versions, license types, and risk flags — ready to hand to a client or legal team
- ▸Scan history and diff: store every scan per project and show a changelog of newly introduced license risks between releases so nothing sneaks in undetected
Target Audience
Freelance developers, indie SaaS founders, and engineering leads at 1-20 person startups who ship commercial software and need to prove license compliance to clients, investors, or legal — roughly 2M+ developers globally who manage open-source dependencies in commercial projects.
Example Use Case
Priya is shipping a SaaS product and her enterprise client demands a software bill of materials (SBOM) with license attestation. She pastes her package.json into LicenseGuard, gets a flagged report in 8 seconds showing 2 GPL packages and 140 MIT-safe ones, exports the PDF, and emails it to legal — done in under 5 minutes instead of 3 hours of manual npm lookups.
User Stories
- ▸As a freelance developer, I want to scan my project's dependencies and see which licenses could block commercial use, so that I can fix risky packages before my client's legal team flags them during handoff.
- ▸As a SaaS founder preparing for a seed round, I want to generate a downloadable license compliance report for my entire codebase, so that I can satisfy investor due diligence requests without hiring a lawyer.
- ▸As an engineering lead, I want to compare license risks between two releases of our product, so that I can catch any newly introduced GPL or proprietary packages before they ship to production.
Done When
- ✓Core scan: done when a user pastes a valid package.json with 50+ dependencies and sees every package listed with its license type and risk color (green/yellow/red) within 10 seconds.
- ✓AI explanation: done when clicking 'Explain' on any flagged dependency calls Claude Haiku and displays a 2-3 sentence plain-English explanation of the license risk within 3 seconds.
- ✓Payment: done when a free-tier user clicks 'Export PDF', hits the Stripe checkout, completes payment, is redirected back, and the PDF immediately downloads with all dependencies listed.
- ✓Scan history: done when a logged-in Pro user can view their last 10 scans by project name and date, click any past scan, and see the full results table re-rendered from the Supabase stored data.
Is it worth building?
$19/month x 80 users = $1,520 MRR at month 3. One-time report exports at $9 each add ~$300/month on top.
Unit Economics
CAC: ~$8 via Reddit/Twitter organic + $15 via paid (Google Ads 'license compliance tool'). LTV: $228 (12 months at $19/month, 85% monthly retention). Payback: under 1 month. Gross margin: ~92% (minimal API costs per scan).
Business Model
SaaS subscription + one-time report purchase
Monetization Path
Free tier: 1 scan/month, up to 50 deps, no export. Pro at $19/month: unlimited scans, unlimited deps, PDF/CSV export, scan history, GitHub integration. One-time $9 pay-per-report for drive-by users. Target 10% free-to-paid conversion via export gate.
Revenue Timeline
First dollar: week 2 (pay-per-report). $1k MRR: month 3. $5k MRR: month 7.
Estimated Monthly Cost
Claude Haiku API: $15 (bulk scans are tiny tokens), Vercel Pro: $20, Supabase Pro: $25, Resend email: $0 (free tier). Total: ~$60/month.
Profit Potential
Full-time viable at $5k MRR (~260 Pro subscribers). Achievable by month 6 with consistent developer community presence.
Scalability
High — team/org plans at $79/month, CI/CD GitHub Action integration, API access for enterprise, white-label for dev agencies.
Success Metrics
Week 1: 200 scans run by 80 unique visitors. Month 2: 40 paid subscribers, 85% monthly retention, NPS > 40.
Launch & Validation Plan
Post in r/webdev and r/devops asking 'how do you currently track dependency licenses?' to gauge pain. DM 15 freelancers on Upwork who list 'open-source' in their profile offering free access. Build a no-code landing page on Carrd with an email waitlist before writing a single line of code. Target 50 waitlist signups before building.
Customer Acquisition Strategy
First customer: DM 20 developers on Twitter/X who have posted about compliance or SBOM. Then: write 3 SEO posts targeting 'GPL license commercial use', 'how to check npm package license', 'software bill of materials for startups'. Submit to Hacker News 'Show HN'. Post in dev Discord servers (Reactiflux, Python Discord).
What's the competition?
Competition Level
Medium
Similar Products
FOSSA (enterprise, $500+/month, overkill for small teams), Snyk (security-focused, license compliance is secondary feature), WhiteSource/Mend (enterprise only) — none are self-serve, affordable, or AI-explained for indie developers.
Competitive Advantage
FOSSA and Snyk License Compliance are enterprise tools costing $500+/month with complex setup. LicenseGuard is self-serve, ships results in seconds with no CLI install, costs $19/month, and adds the AI explanation layer that no existing tool offers — purpose-built for the solo dev and small team market.
Regulatory Risks
Low regulatory risk. Note: LicenseGuard provides informational analysis only, not legal advice — include a clear disclaimer. GDPR applies if storing user package data; use Supabase with EU region and add a privacy policy.
What's the roadmap?
Feature Roadmap
V1 (launch): paste-based scan for npm/pip/gem, risk categorization, AI explanation, PDF export, Stripe billing, scan history. V2 (month 2-3): GitHub repo OAuth integration, go.mod + Cargo.toml support, email scan summary digest, shareable public report links. V3 (month 4+): GitHub Action for CI/CD license gates, team/org accounts at $79/month, API access, policy rules engine (define your own allowed/blocked licenses).
Milestone Plan
Phase 1 (Week 1-2): ship parsers for npm/pip/gem, SPDX lookup, Claude explanation, results UI, Supabase auth — done when 3 real package files scan correctly end-to-end. Phase 2 (Week 3-4): add Stripe billing, PDF export, scan history, deploy to Vercel with custom domain — done when first paying stranger completes checkout and downloads PDF. Phase 3 (Month 2): add GitHub repo OAuth scanning, go.mod support, launch on ProductHunt — done when 50 paying subscribers reached.
How do you build it?
Tech Stack
Next.js 14, Claude API (Haiku for bulk analysis), Stripe, Supabase — build with Cursor
Suggested Frameworks
license-checker (npm), pip-licenses (Python), GitHub REST API for repo scanning
Time to Ship
2 weeks
Required Skills
Next.js API routes, Claude API integration, npm/PyPI license parsing, Stripe billing, PDF generation.
Resources
license-checker npm docs, pip-licenses PyPI docs, SPDX license list (spdx.org), Anthropic Claude Haiku docs, Stripe checkout docs, Supabase quickstart, react-pdf for report generation.
MVP Scope
app/page.tsx (landing + paste input), app/scan/page.tsx (results dashboard), app/api/scan/route.ts (license resolution + Claude analysis), app/api/export/route.ts (PDF generation), lib/parsers.ts (package file parsers), lib/license-db.ts (SPDX lookup), lib/db.ts (Supabase schema), components/RiskBadge.tsx, components/DependencyTable.tsx
Core User Journey
Land on homepage -> paste package.json into text box -> see instant risk-categorized table of all deps -> click 'Explain this flag' on a GPL package -> read Claude's plain-English explanation -> click 'Export PDF Report' -> hit Stripe paywall -> upgrade to Pro -> download PDF.
Architecture Pattern
User uploads file -> lib/parsers.ts extracts dep list -> SPDX license DB lookup (synchronous) -> Claude Haiku flags edge cases and generates plain-English summaries -> results stored in Supabase -> PDF generated server-side on export request -> Stripe gates export on free tier.
Data Model
User has many Projects. Project has many Scans. Scan has many Dependencies. Dependency has fields: name, version, resolved_license, risk_level (safe|review|blocker), ai_explanation, ecosystem (npm|pypi|gem|go). Scan has a generated_report_url field.
Integration Points
Stripe for payments and subscription management, Supabase for auth + scan history storage, Claude Haiku API for license explanation, Resend for transactional email, GitHub OAuth for repo-connected scanning (V2), react-pdf for server-side PDF generation.
V1 Scope Boundaries
V1 excludes: GitHub repo auto-connect, CI/CD GitHub Action, team/org accounts, mobile app, white-label, API access, transitive deep-tree dependency scanning (flat deps only in V1).
Success Definition
A paying stranger uploads a real package.json, reads the risk report, downloads the PDF, and emails it to their client — without ever contacting founder support.
Challenges
Distribution — developers know they should care about license compliance but rarely feel urgency until it's a crisis. The acquisition hook is content marketing (SEO blog posts like 'Can I use GPL packages in my SaaS?') and positioning around the specific moment of pain: client audits and fundraising due diligence.
Avoid These Pitfalls
Don't attempt to cover every edge case of license law in V1 — clearly disclaim 'not legal advice' and focus on the 90% case (MIT, Apache, GPL, LGPL, BSD). Scope creep into exotic licenses will stall shipping. Don't gate the core scan result behind a paywall — the value must be immediately visible to drive word-of-mouth and free trials. Only gate the export and history features to convert free users.
Security Requirements
Supabase Auth with Google OAuth, RLS enabled on all user-scoped tables (scans, dependencies, projects), uploaded package files never persisted to disk (parsed in-memory only), rate limiting 20 scans/hour per IP on free tier, HTTPS enforced, no raw dependency data logged to external services.
Infrastructure Plan
Vercel for Next.js hosting (serverless functions for scan API), Supabase for Postgres DB + auth, GitHub Actions for CI running lint + type-check on every PR, Sentry for error tracking, Vercel Analytics for usage metrics.
Performance Targets
Scan API response under 8 seconds for 200 dependencies (bulk SPDX lookup is synchronous, Claude call is the bottleneck). Page load under 1.5s. Support 500 scans/day at launch without infrastructure changes. PDF generation under 3 seconds.
Go-Live Checklist
- ☐Security audit complete: RLS verified on all Supabase tables, rate limiting tested.
- ☐Payment flow tested end-to-end with real Stripe card in production mode.
- ☐Error tracking live in Sentry with alert for scan failures > 5% error rate.
- ☐Monitoring dashboard showing scan volume and API latency in Vercel Analytics.
- ☐Custom domain with SSL configured and redirecting www correctly.
- ☐Privacy policy and 'not legal advice' disclaimer published on site.
- ☐5 beta users have run real scans and confirmed PDF exports work correctly.
- ☐Rollback plan documented: previous Vercel deployment URL saved, DB migration rollback script ready.
- ☐Launch post drafted for Hacker News Show HN and r/webdev scheduled for Tuesday 9am EST.
First Run Experience
On first visit: a pre-loaded demo package.json (a popular open-source project with intentionally mixed licenses) is already pasted in the input box. User hits 'Scan' immediately with zero setup. Results appear in 6 seconds showing the risk breakdown. A GPL flag is pre-highlighted with the AI explanation already expanded. User can explore the full flow before ever signing up.
How to build it, step by step
1. Define Supabase schema in lib/db.ts (users, projects, scans, dependencies). 2. Set up Supabase project, create tables, enable RLS. 3. Build lib/parsers.ts to extract dep lists from package.json, requirements.txt, Gemfile. 4. Build lib/license-db.ts using SPDX JSON dataset for synchronous license lookups. 5. Build app/api/scan/route.ts: parse input, bulk-lookup licenses, send flagged deps to Claude Haiku for explanation, store results. 6. Build app/scan/page.tsx with RiskBadge and DependencyTable components showing green/yellow/red results. 7. Add Supabase Auth with Google OAuth. 8. Add Stripe checkout gating the PDF export endpoint. 9. Build app/api/export/route.ts generating PDF via react-pdf. 10. Deploy to Vercel, run a full end-to-end journey with a real package.json, verify PDF downloads correctly.
Generated
June 3, 2026
Model
Claude Haiku
Disclaimer: Ideas on this site are AI-generated and may contain inaccuracies. Revenue estimates, market demand figures, and financial projections are illustrative assumptions only — not financial advice. Do your own research before making any business or investment decisions. Technology availability, pricing, and market conditions change rapidly; always verify details independently.