Stridely
Automated threat modeling for AI-generated code, directly in your GitHub repo.
Product memo
Targets developers and founders rapidly building with AI coding tools, helping them catch security flaws before production. Its wedge is automated, code-native threat modeling (STRIDE) specifically tuned for AI-generated code risks, delivering findings directly within the repository. This approach bypasses the friction of traditional security reviews, providing actionable insights at the point of code creation.
For who
AI-coding developers and founders
Solves what
Automated security threat modeling for AI-generated code and GitHub repos.
- GitHub repo scanning
- AI code pattern detection
- STRIDE analysis
In their own words
Ship code without security surprises
Stridely reviews your GitHub repos for risky auth, exposed APIs, privilege bugs, leaked secrets, and AI-generated patterns that look fine until they hit production.
Scan GitHub repos for risky auth, exposed APIs, privilege bugs, secrets, and AI-generated code before you ship.
Commercial cues
Model
usage_based
Free tier
No
Trial
Available
Free Scan
Connect GitHub repo
Pay Per Scan
Connect GitHub repo · Review every push (monitoring)
Pricing Strategy
Employs usage-based pricing with a free initial scan, appealing to developers who demand granular cost control without subscription lock-in.
- • Offers a free initial scan to eliminate adoption friction, letting developers test value without commitment.
- • Utilizes a pay-per-scan model, which avoids recurring subscription costs and aligns spending directly with usage.
- • Skips per-seat pricing, making it attractive to dev teams looking to scale security without punitive user fees.
Operator context
Team
Indie / lean
Founded
May 2026
HQ
Denmark
Payments
Stripe
Tech stack
Social / footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Solo Buildable
Targets AI-coding developers with a niche STRIDE analysis wedge, offering a free scan to drive adoption.
Unfair Advantages
-
Proprietary Data Unique dataset of AI-generated code patterns and associated risks.
-
Unorthodox Pricing Pay-per-scan model avoids incumbent SaaS subscription friction.
Builder Lesson
Focus on a specific, emerging AI-related security risk and build a developer-native tool to address it.
Full Reasoning
Wins by targeting the nascent AI code security niche with a STRIDE analysis wedge, offering a free scan to onboard developers. The asymmetric bet here is building proprietary data on AI code risks, which bloated incumbents can't easily replicate. Other builders should identify emerging tech trends and construct hyper-focused tools that solve a developer's immediate pain point before the market matures, much like the free scan here lowers the barrier to entry.
About Stridely Expand
Stridely offers automated security threat modeling, specifically engineered for the unique challenges of AI-generated code and traditional GitHub repositories. This tool is designed for AI-coding developers and founders who need to quickly identify and remediate security vulnerabilities like risky authentication, exposed APIs, privilege escalation bugs, and leaked secrets before deployment.
It stands out by integrating directly into the development workflow, providing code scanning and AI code pattern detection that leverages STRIDE analysis. Unlike generic security scanners, Stridely focuses on the specific risks introduced by AI-assisted development, offering a specialized solution that ensures code integrity from creation to production.
Its pricing philosophy, starting with a free scan, reflects a commitment to frictionless adoption, allowing teams to experience its value without upfront investment.