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October 13, 2025When Technical Due Diligence Becomes Your M&A Lifeline
When buying a tech company, you need to look under the hood before signing anything. I’ve spent 12 years uncovering tech truths in acquisitions – from $5M startups to half-billion-dollar deals. Let me show you how hidden technical flaws can kill deals, and what separates winning acquisitions from money pits.
The Code Quality Conundrum
Spotty code quality is like finding rust under a shiny car. Recently, we found a company with beautiful surface-level documentation hiding these problems:
1. Documentation Debt
Don’t trust API docs at face value. One target’s “comprehensive documentation” turned out to be:
- 42% outdated endpoints
- 17 critical features with zero docs
- Authentication mismatches in 1/4 of systems
“Our code speaks for itself!” – Famous last words from a CTO before deal collapse
2. Testing Coverage Traps
That 85% test coverage stat? Look closer. We once found this in a payment system:
class PaymentGateway:
# TODO: Write tests (Ticket #1476 - 3 years old)
def process_transaction(amount):
pass # Actual code copy-pasted from forums
Yikes! Their “coverage” came from testing homepage buttons.
Scalability Assessment: Beyond the Hype
Scaling claims often crumble under pressure. A video startup promised 500k users – here’s reality:
The Load Test Deception
Their tests missed critical factors:
- No real-world network conditions
- Database sharding existed only in PowerPoint
- Localhost testing ≠ production traffic
Real result? Crashed at 12k actual users.
Cost-to-Scale Ratios
True scaling balances performance and budget. Use this reality check:
| Scaling Factor | Healthy | Danger Zone |
|---|---|---|
| User Growth | $1 revenue : $0.80 infra | >$1.20 infra per $1 |
| Data Storage | $1 revenue : $0.30 storage | >$0.50 storage per $1 |
One blockchain play failed hard – burning $1.20 per transaction.
Technology Risk Analysis: The Silent Deal-Killer
These hidden issues torpedo more deals than you’d think.
Dependency Time Bombs
A recent audit uncovered:
- 37% npm packages hadn’t updated since 2019
- 12 critical vulnerabilities in core images
- Python 2.7 holding the whole system hostage
This $2.3M cleanup became our bargaining chip.
Knowledge Concentration Risk
We call this “The Bus Factor”: How many team members could get hit by a bus before collapse? One company had:
- Credentials in one engineer’s personal vault
- Custom tools only the CTO understood
- Zero deployment documentation
This added $4M in hidden risk we exposed.
Your Due Diligence Playbook: Action Steps
After hundreds of deals, here’s what works:
Code Audit Protocol
- Run static analysis tools
- Hand-check critical modules
- Validate test coverage claims
- Measure docs-to-code ratio
Scalability Assessment Framework
- Demand real load test evidence
- Chart cloud costs vs user growth
- Trigger manual failovers
- Profile peak resource usage
Risk Quantification Model
Total Risk = (Critical vulnerabilities × 5) + (Outdated dependencies × 3) + (Undocumented systems × 10)
Score over 25? Deal terms need adjusting.
Final Thoughts: Tech Truths That Make or Break Deals
68% of acquisition losses trace back to hidden tech debt. Smart buyers treat due diligence as their secret weapon by focusing on:
- Code health as the foundation
- Scalability that doesn’t break the bank
- Risk factors that become bargaining chips
In M&A, what you don’t know about the tech stack can cost millions. Because surprise sysadmin fires at 2 AM aren’t part of anyone’s integration plan.
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