Micro SaaS & Founders

Open SaaS and open-source SaaS boilerplates: what you get and what the license allows

What a SaaS boilerplate includes, how many build hours it can save, what MIT and AGPL let you do with a hosted product, and how to tell if a starter is maintained.

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You have a SaaS idea and a few free evenings, and the first weeks will go to login screens, password resets and a billing page before you write a line of the product itself. A SaaS boilerplate is a starter codebase that ships those parts already wired together. An open-source one lets you start from that code for free, under a license that decides what you owe in return. If the term SaaS is new to you, start with What is SaaS?.

“Open SaaS” means two things in searches. It is the name of one free template, Open SaaS by the team behind the Wasp framework, and it is shorthand for open-source SaaS starters in general. This guide covers both: what a starter contains, the hours it can save, the license question that matters for hosted software and the signs that a starter is still maintained. For the business side of a small, self-funded product, see Bootstrapping a SaaS.

Boilerplates in plain terms

Think of a furnished flat. You move in with the bed, the fridge and the curtains already there, and your first week goes to your own work instead of assembling shelves. The catch is that you live with someone else’s choices until you replace them.

A boilerplate (or starter kit) is that flat for code. Most SaaS starters cover the same parts:

  • Authentication: sign-up, login, password reset, email verification and social login.
  • Billing: a checkout, subscription plans and the webhooks a payment provider sends when a customer pays or cancels.
  • Admin: a dashboard to see users and revenue.
  • Email and jobs: transactional email and scheduled background tasks.
  • Deployment: a documented path to put the app online.

Multi-tenancy, one installation serving many customer organizations with their data kept apart, is less common. Check for it before you assume it is there.

What one real starter includes

Open SaaS is published by the wasp-lang organization on GitHub under the MIT license. Its repository describes it as “A 100% free modern JS SaaS boilerplate (React, NodeJS, Prisma)” built on the Wasp framework. As listed in the repository in October 2026:

Part What the repository lists
Auth Email, Google, GitHub, Slack and Microsoft login, with email verification
Payments Stripe, Polar.sh or Lemon Squeezy
Admin A dashboard built with ShadCN UI
Email SendGrid, Mailgun or SMTP
Analytics Plausible or Google Analytics
Files Uploads to AWS S3
AI An OpenAI API example that uses function calling
Tests and docs Playwright end-to-end tests; documentation on Astro Starlight

The list tells you what you do not have to build. It also tells you what you inherit: a framework, a database layer and a set of vendors you did not pick. Swapping the payment provider later is your work, not the template’s.

The license question: MIT vs AGPL

For SaaS, the license matters in a way it does not for most desktop software. Your users never receive a copy of your code. They use it over the network. Two common licenses sit at opposite ends.

  • MIT is, in the words of choosealicense.com, “a short and simple permissive license with conditions only requiring preservation of copyright and license notices.” You may use the code commercially, change it and keep your changes private. You keep the copyright notice in the code.
  • AGPL-3.0 is a strong copyleft license. Its condition “network use is distribution” means that if you run a modified version as a service, you must make the complete source of that version available to its users, under the same license. The ordinary GPL does not ask this of software that only runs on a server.

What this means for you: an MIT starter can become your private codebase. An AGPL starter can still be a sound base, but the source of your product must be available to the people who use it.

A third group needs the same care: licenses that publish the source but limit how you use it. n8n’s Sustainable Use License, for example, allows use “only for your own internal business purposes or for non-commercial or personal use.” Read the LICENSE file in the repository, not the landing page, and check the licenses of the main dependencies too.

Example: the hours a starter can save

Example (hypothetical): you estimate the plumbing your SaaS needs before its first real feature, and you price your time at $50 an hour.

Part Hours from scratch Hours to adapt a starter
Auth with email verification and one social login 30 6
Subscription billing with webhooks 40 10
Admin dashboard 20 4
Transactional email and deployment 15 5
Total 105 25

Step by step:

  1. Hours saved: 105 - 25 = 80 hours.
  2. Value at $50 an hour: 80 x $50 = $4,000.
  3. At 10 hours a week of evening work, you reach your first real feature 80 / 10 = 8 weeks earlier.
  4. The cost side: suppose you spend 2 hours a month merging upstream updates and fixing what they break. Over 12 months that is 2 x 12 = 24 hours, or 24 x $50 = $1,200.
  5. Net in year one: $4,000 - $1,200 = $2,800 in your favor, plus the 8 weeks.

The hour estimates are illustrative. Replace them with your own; the shape of the sum is the point. A starter saves the most when you would otherwise build every part yourself, and the least when you plan to rip out half of it.

How to tell whether a starter is maintained

A free starter that nobody updates turns into security debt, because it bundles auth and payment code. Before you build on one, check:

  • Last commit and last release dates. Months of silence on a project that depends on auth and payment libraries is a warning.
  • Open issues and replies. Read the oldest open issues and see whether maintainers answer.
  • Dependency freshness. Compare the versions in the package manifest with the current releases of the framework and the payment SDK.
  • Upgrade notes. A changelog or migration guide shows how painful the next version will be.
  • Who funds it. A starter backed by a framework company has a reason to keep it alive. A weekend project may not.

Stars measure popularity, not upkeep. A popular repository can still be abandoned.

Starter, scratch or paid kit

Your situation Reasonable choice
Testing an idea fast on a common web stack An open-source starter under MIT
You need something starters lack, such as strict tenant isolation Build the core yourself and borrow pieces
You want support and one accountable maintainer A paid starter kit, after reading its license
You plan to resell the software under other companies’ brands Check the starter’s license first; see White-label SaaS

Common mistakes

  1. Reading the README instead of the license. “Free” on a landing page can sit next to an AGPL or a non-commercial license. Why it happens: the README is friendlier. Instead: open the LICENSE file, and the licenses of the major dependencies, before your first commit.
  2. Keeping every integration because it came in the box. Three email providers and two analytics tools mean more keys, more updates and more ways to break. Why it happens: deleting code feels like throwing value away. Instead: remove what you do not use in the first week.
  3. Never pulling upstream fixes. Your copy drifts, and a security patch to the auth code never reaches you. Why it happens: merging is tedious once you have edited the same files. Instead: keep your changes in separate files where you can, and schedule a monthly merge.
  4. Assuming multi-tenancy. Many starters treat each user as a customer, not each organization, and adding team accounts later touches every table. Why it happens: the demo works fine for one user. Instead: decide on day one whether your customers are people or companies.

For how to price the product once it runs, see SaaS pricing models.

Sources

In three sentences

An open-source SaaS boilerplate gives you auth, billing, admin and deployment already wired, so your first weeks go to the product instead of plumbing. In the worked example, adapting a starter saves 80 hours, worth $4,000 at $50 an hour, against about 24 hours of upkeep in the first year. Read the license before the README, because MIT lets you keep your code private while AGPL requires you to share the source of a modified version you run as a service.