Tech Terms for Founders:25 You Need, in Plain English
The 25 tech terms for founders that cover most AI-building conversations — API, backend, migration, RLS — each in plain English with a real-world analogy.
Tech terms for founders: you don't need to learn to code, you need about 25 words. A working vocabulary — frontend, backend, API, migration, and the rest — is what lets a non-technical founder direct AI, read what it answers back, and catch it when it's wrong. Here are the 25 terms that matter, each in plain English with an analogy you'll actually remember.
One instruction before the list: don't memorize it. Skim it once, then come back whenever a term shows up in a conversation with your AI tools. Vocabulary builds itself through use.
Why founders need vocabulary, not fluency
Building with AI is a conversation, and conversations run on shared words. When you can say "add a database column for email_verified" instead of "make the app remember if people confirmed their email," you get exactly what you asked for — first try. When AI replies that it "created a migration and updated the API endpoint," you need to know whether that sentence should worry you.
The words also carry the architecture. Most of the terms below belong to one of the layers in the restaurant model of how SaaS works — the dining room (frontend), the kitchen (backend), the recipe book (database), and the waiters (API). If a term ever confuses you, asking "which layer does this live in?" resolves it half the time.
The 25 tech terms for founders, in plain English
| Term | What it is | Analogy |
|---|---|---|
| SaaS | Software delivered through a web browser on subscription, not installed locally | Netflix vs buying DVDs — access, not ownership |
| Frontend | The code running in the user's browser — everything they see and click | The restaurant dining room |
| Backend | Server-side code handling business logic, data access, and security | The restaurant kitchen — unseen, where the real work happens |
| API | The rules for how software components talk to each other | A menu — you order from it, the kitchen sends food back |
| Database | Structured, permanent storage for all your product's data | The filing system at the DMV |
| Schema | The structure of your database: tables, columns, types, relationships | A house blueprint — defines the structure before building |
| SQL | The language for asking a database questions and changing its data | The librarian's filing-system language |
| Primary key | The column that uniquely identifies each row in a table | A national ID number — one per person, never reused |
| Foreign key | A column pointing at another table's primary key, creating a relationship | A footnote — points to detail stored elsewhere |
| Migration | A file of changes that evolves your database structure without losing data | A home-renovation blueprint |
| CRUD | The four basic data operations: create, read, update, delete | A filing cabinet — add, read, update, remove files |
| Multi-tenancy | One app serving many customers, each with isolated data | An apartment building — shared infrastructure, private spaces |
| RLS (row-level security) | Access control enforced by the database itself, row by row | A bank vault — even if the teller errs, the vault needs the right key |
| Authentication | Verifying who someone is (login, OAuth, magic links) | Showing ID at airport security |
| Authorization | Deciding what a verified person is allowed to do | A driving licence doesn't let you drive every car |
| Validation | Checking data meets the rules before accepting it | The bouncer at a club — checks ID at the door |
| JSON | The universal text format APIs use to exchange structured data | A universal adapter — every language understands it |
| Webhook | A callback another service triggers when an event happens (e.g. payment succeeded) | A doorbell — it rings you when something happens |
| Git | Version control — tracks every change ever made to your code | Track Changes in Word, but for code |
| GitHub | The platform hosting your code repositories online | Google Drive for code |
| Localhost | Your own computer, where you run and test the app before it goes live | The test kitchen at home vs the restaurant serving customers |
| Deployment | Making your code live on the internet for real users | Publishing a book — manuscript to printed copies in stores |
| Environment variable | A configuration value that changes per environment (dev vs production) and keeps secrets out of code | An actor's script — same role, different theater |
| Bug | A flaw in code causing incorrect behavior; debugging is finding and fixing it | A typo in a recipe that ruins the dish |
| Supabase | A backend-in-a-box: database, authentication, storage, and APIs without building them yourself | A pre-built house foundation vs pouring concrete yourself |
A full technical glossary runs to fifty-plus terms. You don't need the other half until the day you meet them — and on that day, you'll have the foundation to absorb them in one read.
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Four of these terms come in pairs that sound interchangeable and aren't. Getting them straight will save you real confusion:
Frontend vs backend. Frontend runs in the browser and is public; backend runs on a server and is private. What the user sees vs the business logic. If a rule matters — pricing, permissions, limits — it must live in the backend, because anything in the frontend can be tampered with.
Authentication vs authorization. Who are you? vs What can you do? Login verifies identity; permissions decide access. Your product needs both, and mixing them up is how users end up seeing each other's data.
Backend vs database. The backend is logic; the database is storage. Totally different jobs — the kitchen and the recipe book. If this pair still feels blurry, databases explained for non-technical founders will fix it in ten minutes.
Localhost vs production. Development happens on your computer at localhost — fast changes, detailed errors, no users harmed. Production is the cloud server real customers use. Code moves from one to the other through deployment, never by editing the live product directly.
How to actually use these words with AI
The payoff for this vocabulary is precision. Compare the two versions of the same request:
- Vague: "Make sure people can't sign up twice." Precise: "Validate email uniqueness in the backend."
- Vague: "Remember what users prefer." Precise: "Add a database column for user preferences."
- Vague: "Put it online." Precise: "Deploy to production."
Precision matters in the other direction, too. When AI tells you what it did, these terms are your review checklist: did it put a business rule in the frontend where it can be bypassed? Did it change the schema when you only asked for a display tweak? Accepting AI output you can't read is exactly how the vibe coding trap starts — and speaking the language is how you stay the architect while a few hundred euros of tools do the typing.
12 weeksYour corporate career was never the planApply to the Solopreneur Accelerator.Apply now →Frequently asked questions
Do I need to memorize tech terms before building with AI?
No. Skim the list once, start building, and return whenever a term appears in your AI conversations. Vocabulary learned in context sticks; vocabulary memorized from a list doesn't. Within a few weeks of real building, most of these words become second nature.
What are the most important tech terms for a SaaS founder?
Start with the architecture four: frontend, backend, database, and API — they tell you where every feature and every bug lives. Then add authentication vs authorization, schema, and migration, because those are the conversations where a wrong word gets expensive.
Can I build a SaaS without knowing these terms?
You can prompt without them, but you can't direct without them. AI will happily generate code either way — the difference is whether you can review what came back, name what's wrong, and ask for the right fix. That review ability is what separates building from gambling.
What is the difference between authentication and authorization?
Authentication verifies who you are — the login step, like showing ID at airport security. Authorization decides what you're allowed to do once you're in — like having a driving licence without being entitled to drive every car. Every real product needs both.
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