Build vs Buy: When Founders Should Wire Tools, and When to Just Buy One

10 min read·0 sources·updated 2026-06
SameerAnkitBy Sameer + Ankit · nobody pays us to recommend anything

TL;DR

Buy almost everything. Build the one thing that is your actual product, plus the tiny glue scripts that connect tools you already pay for. The build vs buy software trap is the messy middle: a half-custom internal tool you now babysit forever. Maintenance eats 60 to 80 percent of software cost, so default to buy until the math (or the friction) forces your hand.

The build vs buy software decision is mostly a trap (and we keep falling in it)

The build vs buy software question sounds strategic. Most of the time it is just an engineer who would rather code than do the boring thing. We get it. We are those engineers.

We are Sameer and Ankit. We ran a growth agency, wired hundreds of tools for clients, and built our share of "quick internal tools" that became permanent roommates. Nobody pays us to recommend anything here, so here is the honest version.

The instinct to build is strong because building feels productive. But "build vs buy" is the wrong frame. The real choice has three doors: build it from scratch, buy a SaaS product, or glue together tools you already have. Founders skip the third door constantly, and it is usually the right one.

Here is the trap. The average company now runs over 100 SaaS apps, per Okta's Businesses at Work report. So you are rarely starting from zero. Mostly you choose between adding a subscription, writing 40 lines of glue, or rebuilding something that already exists.

This guide gives you the line. We show you when to wire, when to buy, and the spot where founders torch their runway.

When should a founder build instead of buy?

Build when the tool IS your product, when it is a real competitive edge, or when a few hours of glue code replaces a pricey subscription. That is the whole list. Everything else, you buy.

The cleanest rule comes from a 2002 essay by Joel Spolsky: smart companies commoditize their complements. Translated for founders: build the layer that makes you money, and let everyone else's commodity tools handle the rest. Your CRM is not your moat. Your product is.

The strategy got a name, commoditize your complement, and it explains why you should never build payroll, email, or support-ticket software yourself. Hundreds of companies already compete to give you those cheap. Building your own is like churning your own butter because you happen to own a cow.

So the build column is short and specific:

  • It is your core product. Obviously build it. This is the thing customers pay for.
  • A real edge. Your special data pipeline, your secret-sauce automation, the workflow no competitor has.
  • Cheap glue. A tiny script that connects two paid tools and kills a $200/month "integration platform" subscription.

Notice what is missing: "we could probably build a better version of [popular tool]." You could. You also have a company to run. For the heavy automation work, we lean on a Zapier alternative rather than a real codebase, because glue should stay glue.

Why is buying almost always the right default?

Buying wins because someone else carries the maintenance forever. You pay a subscription; they pay for the bugs, the security patches, the on-call engineer, and the edge case that breaks at 2am. That trade is wildly in your favor for anything that is not your core product.

The numbers are brutal once you look past the sticker price. Building is the cheap part. Across the full software lifecycle, maintenance runs 60 to 80 percent of total cost, a finding repeated across IEEE software engineering research for decades.

The build is the down payment. The mortgage is forever.

Annual maintenance alone eats roughly 15 to 25 percent of the original build cost, every year, per build vs buy cost benchmarks. Build a $40k internal tool and you owe $6k to $10k a year just to keep it from rotting. That is before it does anything new.

There is a quieter cost too: focus. Every hour your team spends patching a homemade dashboard is an hour not spent on the product. A great line from a Hacker News thread on internal tools sums it up: "There is no such thing as buy. There is build, and then there is buy and build."

Even bought tools need wiring. So if you are going to build anyway, build the smallest possible thing.

For most "we need a tool for X" moments, the answer is a free tier plus glue. When teams ask us for an automation engine, we point them at a calmer Zapier alternative and a free CRM. When they want a form or survey, a Typeform alternative beats building one in an afternoon you will regret.

The build vs buy line, by what the tool actually does

Here is how we sort it in practice. The category of the tool tells you the answer before you even price it out. Differentiators get built; commodities get bought; the connective tissue gets glued.

This is not theory. We have wired this exact split across go-to-market, support, and ops stacks. The pattern holds almost every time.

Tool typeDefault moveWhy
Your core productBuildIt is the thing customers pay for
Email, payroll, accountingBuyCommodity, regulated, never your moat
CRM, support desk, schedulingBuyMature options, deep integrations, cheap
Analytics dashboardBuy firstBuild only after you hit a real wall
Connecting tools you ownGlueA script or a no-code flow, not an app
Secret-sauce workflowBuildGenuine edge, no off-the-shelf fit
◢ side by side

A few honest notes. For scheduling, you will never out-build a mature Calendly alternative, so do not try. For customer conversations, a Zendesk alternative beats a homegrown ticket queue you will abandon in a quarter. The only place we regularly build is the glue between these, and even then we reach for no-code first.

The dashboards line deserves a flag. a16z notes that teams often build read-only dashboards internally before paying for a vendor. That is fine, because a read-only view is low-risk glue.

The moment it needs auth, alerts, and five integrations, buy it. That is the line.

How much SaaS waste is hiding in the "just buy it" answer?

A lot, and ignoring it is how "buy everything" curdles into bloat. Roughly 30 percent of SaaS spend is wasted on unused licenses and redundant tools, which Gartner has called "toxic" spend. Buying is the right default, but buying carelessly is its own tax.

The scale is real. The average organization wastes over $135,000 a year on unused licenses, per SaaS usage research. Companies add roughly 7 new apps every month, and more than half of licenses go unused within 30 days. "Buy" without discipline just trades a maintenance bill for a subscription graveyard.

So buying is the default, not a free pass. Before you add tool number 101, ask three things: do we already pay for something that does this, can a free tier cover it, and can we glue two existing tools instead?

We keep a running tools to cut gut-check, because the cheapest tool is the one you cancel.

This is also why "build to save money" usually backfires. Founders see a $400/month bill, decide to build, and replace a predictable subscription with an unpredictable maintenance liability and a focus tax. The fix is rarely build.

It is audit, consolidate, and downgrade. Cut three dead subscriptions and you have funded the one tool that actually matters.

Does AI change the build vs buy math?

It changes the build cost, not the ownership cost. AI makes the first version cheap, so prototyping a small internal tool now takes hours instead of weeks. But it does nothing about maintenance, security, and integrations, which is where 60 to 80 percent of the cost lives.

The data shows the shift is real but narrow. Retool's 2026 Build vs Buy report found 35 percent of teams have replaced at least one SaaS tool with a custom build, and 78 percent expect to build more in 2026. Workflow automations and internal admin tools lead the list, which makes sense: those are mostly glue, exactly where AI shines.

But read the caveats. a16z is blunt that AI-built tools still have "immature" governance and security, and that maintenance is inevitable even for lightweight apps. The build case is strongest for exploratory, non-critical tools, not for replacing your payment processor.

So our rule stands, with a tweak. Use AI to build glue and throwaway internal views faster. Do not treat it as a green light to rebuild mature SaaS.

The part AI makes cheap was never the expensive part. The maintenance was. Same logic for analytics: prototype the dashboard, but buy the pipeline.

A founder's build vs buy checklist

Run any tool decision through these questions before you write a line of code or sign a contract. We adapted this from Retool's 7Cs build vs buy framework and a build, buy, or partner framework for startups, then cut it to the bone.

  1. Is this our core product or a real edge? If yes, build. If no, keep going.
  2. Does an off-the-shelf tool exist that is "good enough"? If yes, buy it. Good enough now beats perfect in six months.
  3. Can we glue tools we already own? A no-code flow or a small script usually wins over both building and buying.
  4. What is the true cost of owning this? Add maintenance, hosting, and the engineer-hours, not just the build estimate.
  5. What happens when the person who built it leaves? If the answer is "we are stuck," that is a hidden liability.
  6. What is the cost of waiting? Sometimes buying a mediocre tool today beats the perfect build that ships too late.

If you build, build the smallest version that works and wire it cleanly. Our go-to-market stack guides and the founder-led sales recipe show the split in action: buy the platforms, build the glue, cut the rest.

Conclusion: buy boring, build your moat, glue the gaps

Build vs buy is not really a coin flip. Buy almost everything, because someone else eating the maintenance forever is the best deal in software. Build the one thing customers pay you for, plus the small glue that connects what you already own. Everything in the messy middle, a half-built internal tool you babysit for years, is where founders quietly bleed time and money.

AI lowers the cost to build a first version, not the cost to own it. So use it for glue and throwaway views, not for rebuilding mature SaaS. And remember that "just buy it" has its own trap: 30 percent of SaaS spend is wasted, so audit before you add.

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FAQ

What is the build vs buy software decision?

It is the choice between building a tool yourself and buying an existing one off the shelf. For founders, it usually means: do we wire our own internal tool, glue together apps we already pay for, or just subscribe to a SaaS product. The right answer is buy for almost everything except your core product, because building carries a maintenance bill that never stops.

When should a startup build software instead of buying it?

Build when the tool IS your product or a real competitive edge, when no off-the-shelf option fits and the gap actively costs you money, or when a few hours of glue code with Zapier or Make replaces a pricey subscription. Build for differentiation, not for tasks every other company also has to do, like email, payroll, or support tickets.

Is it cheaper to build or buy software?

Buying is almost always cheaper for non-core tools once you count the real cost. Building looks cheap until you add maintenance, which runs roughly 15 to 25 percent of the build cost every year and 60 to 80 percent over the full lifecycle. A custom build can win at large scale (hundreds of seats), but most early startups never reach that break-even point.

What is the biggest mistake founders make with build vs buy?

Living in the messy middle. They half-build an internal tool, ship it 80 percent done, then spend years patching it instead of doing real work. The hidden cost is not the build, it is the babysitting: bugs, edge cases, the one engineer who knows how it works leaving. Buy the boring stuff, build only what makes you money.

Does AI change the build vs buy decision?

It lowers the cost to build a first version, so prototyping now takes hours instead of weeks. But AI does not remove maintenance, security, or integration work, which is where the real cost lives. a16z notes AI-built internal tools shine for lightweight, exploratory apps, not production systems that replace mature SaaS. Use it to build glue, not to rebuild Stripe.

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Frequently asked questions

What is the build vs buy software decision?+

It is the choice between building a tool yourself and buying an existing one off the shelf. For founders, it usually means: do we wire our own internal tool, glue together apps we already pay for, or just subscribe to a SaaS product. The right answer is buy for almost everything except your core product, because building carries a maintenance bill that never stops.

When should a startup build software instead of buying it?+

Build when the tool IS your product or a real competitive edge, when no off-the-shelf option fits and the gap actively costs you money, or when a few hours of glue code with Zapier or Make replaces a pricey subscription. Build for differentiation, not for tasks every other company also has to do, like email, payroll, or support tickets.

Is it cheaper to build or buy software?+

Buying is almost always cheaper for non-core tools once you count the real cost. Building looks cheap until you add maintenance, which runs roughly 15 to 25 percent of the build cost every year and 60 to 80 percent over the full lifecycle. A custom build can win at large scale (hundreds of seats), but most early startups never reach that break-even point.

What is the biggest mistake founders make with build vs buy?+

Living in the messy middle. They half-build an internal tool, ship it 80 percent done, then spend years patching it instead of doing real work. The hidden cost is not the build, it is the babysitting: bugs, edge cases, the one engineer who knows how it works leaving. Buy the boring stuff, build only what makes you money.

Does AI change the build vs buy decision?+

It lowers the cost to build a first version, so prototyping now takes hours instead of weeks. But AI does not remove maintenance, security, or integration work, which is where the real cost lives. a16z notes AI-built internal tools shine for lightweight, exploratory apps, not production systems that replace mature SaaS. Use it to build glue, not to rebuild Stripe.

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