Software Engineering for Startups
Funded teams can't afford to build the wrong thing — or to drown in technical debt before their next raise. These guides cover what to build first, how to move fast responsibly, and the engineering choices that matter most in your earliest days.
13 guides in this topic
How to Transition from an Agency to an In-House Engineering Team
The cleanest way to move from a development agency to an in-house team — including why hiring directly from your agency is the smoothest transition most founders miss, and how to time it right.
Agency vs. In-House Engineering After Seed Funding: What Actually Makes Sense
The real tradeoffs between hiring a development agency and building an in-house engineering team after raising seed or Series A funding — including when each makes sense, what it costs, and what investors actually prefer.
Building a B2B SaaS MVP: What to Build in Your First 12 Weeks
A practical technical guide to B2B SaaS MVP development — what architecture decisions lock you in early, what features are mandatory vs. optional for the first version, and what founders typically build that wastes their seed round.
Best Software Development Agencies for VC-Backed Startups (2026)
A practical guide to choosing a development partner after seed or Series A funding — including what VCs look for in the agencies they recommend to portfolio companies, and how to evaluate agencies specifically for fast-moving funded startups.
Engineering Checklist Before Your Series A: What Investors Actually Check
A practical checklist of the technical and engineering factors Series A investors evaluate — with specific actions to take in the 3-6 months before you start raising to ensure your technical setup doesn't kill your term sheet.
The First 90 Days After Funding: Technical Decisions That Matter
A practical guide to the most important technical decisions in the first 90 days after closing a seed or Series A round — what to prioritise, what to delay, what will haunt you later if you get wrong, and how to structure your development process for investor visibility.
How VC-Backed Startups Choose Their Development Partner
The criteria founders and investors actually use when selecting a development agency after funding — and why the selection process for a funded startup is fundamentally different from an unfunded company's search.
How to Do an Acquihire: The Complete Guide for Founders
A practical, step-by-step guide to acquiring an engineering team — covering when an acquihire makes sense, how to structure the deal, what due diligence to run, how to make offers that retain people, and why most acquihires fail within the first 12 months.
Legaltech MVP Development: What to Build, What Compliance Requires, and What Takes Longest
A practical guide to building a legaltech MVP — what document generation, contract management, and legal workflow software actually requires technically, what compliance means for day-one vs. later, and the real timeline and cost for legaltech products.
Marketplace MVP Development: What to Build, What Breaks at Scale, and What to Skip
A practical guide to building a two-sided marketplace MVP — what the minimum viable version actually needs, what architecture decisions you'll regret making wrong, and what marketplace features most founders overbuild in v1.
How Much Does MVP Development Cost for a SaaS Startup in 2026?
Real cost breakdowns for MVP development — what you actually pay at different complexity levels, what drives the cost, and how to evaluate whether a quote is fair or inflated.
What to Build First After Seed Funding: A Technical Roadmap for Non-Technical Founders
A practical framework for deciding what to build in your first 90 days after raising seed funding — including what to build yourself, what to outsource, what to skip entirely, and what will make your Series A harder if you get it wrong.
What Investors Look for in Your Technical Team and Architecture
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.
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