What seed and Series A investors actually evaluate in your engineering setup — from code quality and architecture choices to team structure, development velocity, and technical risk factors that affect term sheets.
Most founders prepare their deck, their ARR metrics, and their growth story. The technical evaluation is an afterthought — and it shouldn't be.
At seed, investors are betting on founders. The technical bar is low. At Series A, investors are betting on the business, and the technical foundation is part of the business. A codebase that can't scale, a team that can't ship without the founding engineer, or infrastructure costs that are growing faster than revenue are all variables that affect term sheet terms — and sometimes kill deals outright.
This guide covers what investors actually look for at each stage, what raises red flags, and what to fix before you start raising. If you're choosing who builds that foundation in the first place, our guide on the best development agencies for VC-backed startups covers what VCs look for in the partners they recommend to portfolio companies.
The depth of technical review scales with check size and stage:
| Stage | Check size | Technical review depth |
|---|---|---|
| Pre-seed / Angel | ₹50L–₹2Cr | Essentially none — demo and founder credibility |
| Seed (institutional) | ₹2Cr–₹8Cr | Brief — does it work, is there IP risk |
| Series A | ₹8Cr–₹40Cr | Moderate — architecture, team, velocity, red flag check |
| Series B and beyond | ₹40Cr+ | Thorough — full technical due diligence, sometimes third-party audit |
The Series A is the inflection point. At Series A, the investor is writing a large enough check that a technical liability can become a financial problem for the fund. This is when the real questions start.
At seed, the technical bar is low by design. Investors understand that early-stage code is messy. They're checking three things:
Does the product work? Not "is the code clean" — does the demo work, do users use it, does it deliver what it promises. A live product with paying customers clears this bar regardless of code quality.
Is the IP yours? The biggest seed-stage risk is IP ownership — code written by a contractor without a proper assignment clause, a co-founder who left and may have claims on the codebase, or open-source dependencies with licenses that restrict commercial use. These are legal issues that can block funding or acquisitions. They're almost always fixable, but investors don't want to discover them mid-due-diligence.
Can the team build more of it? If the founding engineer is the only person who can touch the codebase, that's a risk. Investors want to know that the team can continue building after the check closes.
Seed investors rarely look at the actual code. If you have a technical co-founder and a working product, you clear the bar.
Series A is different. The investor is now evaluating whether the company can execute a growth plan — and the technical foundation is part of that equation. Here's what they're actually looking at:
Velocity metrics matter. Investors want to know how quickly the team can go from decision to deployed feature — not as a vanity metric, but as a proxy for execution capacity.
Specific things they ask:
A team that ships weekly with low incident rates has a functioning development process. A team that ships infrequently with high incident rates is consuming capacity on firefighting, not building.
What happens if your one senior engineer — the person who built the system — leaves?
This is one of the most common Series A concerns. If the answer is "the product would stop working until we rehired and the new person ramped up," that's a serious red flag. Investors have seen it happen: a Series A closes, the key engineer uses the liquidity event to leave, and the company spends the next year rebuilding institutional knowledge instead of executing the growth plan.
The mitigation isn't complicated: at least two engineers who understand the core system, documentation that doesn't live only in one person's head, and a deployment process that isn't dependent on one person's laptop.
A Bangalore team that works like an in-house one — senior engineers, clear communication, real ownership.
There's an important distinction investors (and their technical advisors) draw:
Messy code is code that works but is hard to read, poorly organised, or inconsistently written. Every early-stage product has this. It's technical debt, but it's debt that can be paid down incrementally. Not a deal concern.
Structural debt is when the fundamental architecture is wrong for what the product needs to become. Examples: a single-tenant architecture in a B2B SaaS product that needs to support multiple customers securely, a monolith where the database is so tightly coupled that you can't add features without touching everything, or a data model that made sense for V1 but can't support the product roadmap. This debt can't be paid down incrementally — it requires a partial or full rebuild.
Structural debt is a funding concern because it means the growth capital you're raising will be consumed fixing the foundation rather than building the product.
Unpredictable AWS or GCP bills are a runway killer. Investors want to see that:
The worst case scenario for an investor: post-funding, the company's infrastructure bill triples because a database query is doing a full table scan on every page load. These are fixable problems, but they're embarrassing and they erode trust.
IP ownership comes up again at Series A, with more scrutiny. Investors and their lawyers will check:
This is more paperwork than technology, but it consistently comes up in Series A due diligence.
These are the findings that cause investors to pause, reduce valuation, or add contingencies to term sheets:
1. Solo developer with no second engineer who understands the codebase
A single point of failure at the engineering level is a structural business risk. If this person leaves, gets sick, or simply can't scale their capacity, the product stops moving forward.
2. No version control or no documented deployment process
Code not in Git is code that doesn't have history, can't be reviewed, and can't be safely changed by anyone except the person who wrote it. No deployment process means deployments are manual, risky, and person-dependent. Both are signs of a team that hasn't invested in basic engineering hygiene.
3. Credentials in code or no secrets management
API keys, database passwords, or access tokens committed to the git repository is a security failure, but it's also a competence signal. It tells investors that basic security practices aren't being followed, which makes them wonder what else isn't being followed.
4. No backup or disaster recovery
"We've never lost data" is not a backup strategy. Investors ask: if your database server failed right now, how long would it take to restore? If the answer is "we'd lose everything" or "we're not sure," that's a real concern.
5. Architecture that doesn't support multi-tenant operation (for B2B SaaS)
If you're building a B2B SaaS product and your architecture puts all customers' data in the same tables with no isolation, you have a security and compliance problem that will need to be solved before you can sell to any enterprise customer. Fixing multi-tenancy in a product that wasn't built for it is a months-long engineering project. In regulated verticals the compliance bar lands even earlier — our guide on legaltech MVP development covers what has to be in place from day one versus what can wait.
6. Code built by an agency that the founding team can't maintain
Agency-built code isn't inherently a problem. Agency-built code where no one on the current team can explain what it does, add features to it, or fix bugs in it — that's a problem. The product is effectively unmaintainable by the company that owns it.
7. Dependencies on deprecated or unmaintained libraries
Critical functionality that relies on a library that hasn't been updated in three years and has open security vulnerabilities is a liability. It signals that the technical team isn't actively maintaining the product's foundations.
If reading this list made you uneasy about what an investor's advisor might surface in your stack, the cleanest move is to
run a pre-raise technical review →If you're planning to raise a Series A in 6 months, here's what to do now:
Months 1–2: Fix the structural risks
Months 2–4: Improve the process
Months 4–6: Reduce the red flags
The goal at 6 months is not a perfect codebase. It's a codebase with no deal-blocking surprises.
Founders often confuse these two roles. Investors don't.
A senior engineer can build the product. They're good at writing code, know their stack well, and can make technical decisions within a defined scope. Most seed-stage startups have a technical co-founder or first engineer who fits this profile.
A CTO can build the team and the technical organisation. They make architectural decisions that affect the company's options two years from now, hire and develop engineers, translate business requirements into technical strategy, and represent the technical capability of the company to investors and customers.
At seed stage, investors don't expect a CTO. They expect a technical person who can build. At Series A, investors start asking whether the technical leader can scale beyond building. The question isn't "can this person code?" — it's "can this person hire and manage a team of engineers, and make the right architectural bets as the product grows?"
If your technical co-founder is strong at building but hasn't managed engineers or made company-level architectural decisions, that's worth acknowledging. Investors respect founders who understand their own gaps more than those who paper over them.
The most common mistake founders make is finding out about technical red flags during investor due diligence — when fixing them is urgent, expensive, and visible to everyone in the process.
A pre-raise technical audit runs the same review an investor's technical advisor would run, gives you findings before they're a negotiation liability, and gives you time to fix them on your own timeline.
For a structured audit before your raise, see our technical due diligence service.
Independent technical assessment for investors, acquirers, and founders — a report you can put in front of a board.
Hunchbite works with founders preparing for Series A raises — auditing your codebase, architecture, and team setup against what investors will check, and delivering a findings report with prioritised actions. You get the investor view before the investor sees it.
→ Technical Due Diligence Service
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Hunchbite runs a pre-raise technical review — the same audit an investor's technical advisor would run across your codebase, architecture, and team setup. You get a prioritised findings report with time to fix the red flags before they become a negotiation liability.
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