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●TypeScript + SaaS

TypeScript Developer
for SaaS

De-risk your acquisition with independent tech due diligence. Code audits, architecture review, team assessment. Saved investors $5M+ in avoided deals. 48hr turnaround.

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●Key Insights

01

Technical due diligence failures cluster around three areas: undisclosed technical debt impacting runway, security vulnerabilities creating liability, and key-person dependencies where one engineer holds critical knowledge.

02

The most valuable diligence finding is often organizational, not technical: a codebase can be refactored, but a toxic engineering culture takes much longer to remediate.

03

Founders who resist full diligence access often have something to hide—legitimate concerns about competitive exposure can be addressed with NDAs and controlled scope.

04

Technical debt quantification requires translation to business terms: not 'needs refactoring' but '3 months of engineering time required before shipping the mobile app your growth model assumes.'

05

Post-acquisition integration difficulty is often underestimated—even clean codebases require significant effort to integrate, and diligence should explicitly assess integration complexity.

●SaaS Regulations

Compliance requirements that shape technical architecture

●Common Challenges

Problems I solve for clients in this space

Challenge

Hidden technical debt impacting valuation

Targets minimize technical debt in presentations. Investors discover post-close that significant engineering investment is required before planned growth.

Solution

Deep code review identifying debt categories and remediation effort. Translation to business terms: months of engineering time, delayed features, or required hires.

Challenge

Security vulnerabilities creating liability

Security issues discovered post-acquisition create liability, breach risk, and remediation costs that should have factored into valuation.

Solution

Security-focused code review and architecture assessment. Penetration testing findings review. Risk quantification in business terms.

Challenge

Key-person dependencies

Critical systems knowledge concentrated in one or few engineers creates operational risk and negotiating leverage that complicates acquisitions.

Solution

Team interviews assessing knowledge distribution. Documentation review. Recommendations for knowledge transfer or retention arrangements.

Challenge

Scalability claims versus reality

Targets claim architecture supports projected growth. Reality: significant re-architecture required before scale assumptions can be achieved.

Solution

Load testing and capacity analysis. Architecture review against stated growth plans. Gap identification with effort estimation.

●Recommended Stack

Optimal technology choices for TypeScript + SaaS

Code Analysis

SonarQube + manual review

Automated analysis catches mechanical issues. Manual review catches architectural and design problems automation misses.

Security Assessment

OWASP methodology + penetration testing

Structured security assessment against known vulnerability categories. Penetration testing validates controls.

Team Assessment

Structured interviews + org analysis

Technical interviews assess capability and knowledge distribution. Organizational analysis identifies cultural risks.

●Why TypeScript?

Technical due diligence serves investors and acquirers who need independent assessment of technology assets. The investment thesis depends on technical assumptions—the team can execute the roadmap, the architecture supports planned growth, the security posture doesn't create liability. Due diligence validates or challenges these assumptions. The approach combines automated analysis with experienced human judgment. Static analysis tools catch code quality issues at scale, but can't assess architectural appropriateness or organizational health. Security scanners find known patterns, but miss business logic flaws. The human element—reading code, understanding architecture, interviewing teams—is irreplaceable. Findings must translate to business terms to enable informed investment decisions.

●My Approach

Due diligence engagements follow a structured methodology ensuring comprehensive coverage within tight deal timelines. Phase one is scoping: understanding the investment thesis and identifying technical assumptions to validate. Phase two is data gathering: code repository access, infrastructure review, documentation collection, and team interviews. Phase three is analysis: code review, security assessment, architecture review, and team capability assessment. Phase four is synthesis: connecting technical findings to business implications. The report includes executive summary, detailed findings, risk assessment matrix, and remediation recommendations. I present findings to the investment team and remain available for questions during negotiation.

●Investment Guidance

Typical budget ranges for TypeScript saas projects

MVP

$15,000 - $25,000

Core functionality, essential features, production-ready foundation

Full Solution

$35,000 - $75,000

Complete platform with advanced features, integrations, and scale

Factors affecting scope

  • Codebase size and complexity
  • Number of systems and integrations
  • Security depth required
  • Timeline urgency

●Frequently Asked Questions

●Related Services

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