Did you know that most co-founders meet each other through work? Lander Willem met his friend and co-founder Bram Billiet while they were working at the local venture fund. They both shared the love towards LLMs and got the idea to kickstart their SaaS after experiencing the same pain points with managing and versioning prompts.
In this post, you’ll learn how they:
Shipped their SaaS from idea to MVP in weeks, using modern AI stack
Launched and got trending on Product Hunt with 100+ upvotes
Successfully onboarded first users
The problem: Managing prompts is messy
Right after OpenAI released their first LLM models, Lander and Bram started exchanging tips on how to get optimal results from prompts. Soon, they learned that managing AI prompts is often chaotic.
People who share prompts usually do so through messaging apps such as Slack, Microsoft Teams or in better cases, shared Google Docs documents. Some of the people they talked to even confessed they were sharing their favorite prompts using screenshots 😅. Although a Google Doc might work initially, people quickly bump into issues regarding versioning and granular access management.
This is how they got the idea to create PromptPanda - a SaaS that allows people to exchange prompts in an easy way. Here’s an interactive demo you can click through to see what they’ve built:
The opportunity: Everyone uses prompts, not just devs
Other AI prompt tools are primarily designed with developers in mind, which leaves out non-technical teams. Those less technical users depend heavily on collaboration, efficiency, and consistency to complete their tasks. This is the market PromptPanda decided to go after.
The tool is designed specifically to help teams centralize their prompts and ensures consistent output quality. Collaboration is painless because of an intuitive web app that also has a Chrome extension.
PromptPanda integrates with major AI providers such as OpenAI, Anthropic, Google, Perplexity, and DeepSeek. Coupled with its built-in Prompt Improver, these integrations allow users to quickly test, iterate, and enhance their prompts, while not imposing any limitations for the end-users.
With this approach they covered a market that other companies overlooked, non-technical users who rely on the biggest LLM providers for their daily tasks.
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Open SaaS repo
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Launching is unpredictable: Product Hunt hits and flops
As soon as the app was somewhat stable and usable, Lander and Bram decided to launch on ProductHunt.
Their first ProductHunt launch was great in terms of visibility. They were featured by the ProductHunt team which got them a bunch of upvotes and comments. Although there was quite a lot of engagement with the launch, it didn’t really end up in sticky, paying customers.
A short while later they relaunched on ProductHunt after processing the feedback from their first launch. Both their product and launch campaign were much better prepared. Weirdly enough, the launch mostly failed as they got almost no upvotes or conversions.
Although their second launch was mostly a flop, it did manage to get them mentioned in a Superhuman (the email app) newsletter. Their user base doubled overnight.
Ever since then they have an active stream of users and new signups coming in.
”My main takeaway is to never stop shipping, and always share your work!”
Lander Willem
Most of their users today have found PromptPanda through organic SEO. They started writing articles about AI Prompt Management which have quickly found traction in search engine algorithms.
Choosing the right stack for developing your SaaS app
PromptPanda’s team chose Open SaaS because it significantly streamlined their product development by simplifying backend setup, database management, and built-in authentication. This was crucial as they needed an efficient solution that could save time due to their busy schedules. Wasp’s default integration with Fly also enabled rapid deployment, allowing them to quickly validate their product idea without getting bogged down in infrastructure complexities.
Here’s a full overview of their tech stack alongside all the tools they rely on to run their SaaS:
Are you ready to ship your SaaS now?
PromptPanda’s story proves the best SaaS ideas come from solving your own pain points. Lander and Bram also learned launching isn’t predictable—success can come from unexpected places, even failed launches. The takeaway? Keep building, keep shipping, and always share your progress openly.
If you enjoyed this post please make sure to give Open SaaS a star on GitHub, this keeps us going forward and supports our work!
In this interview, Marko Saric shared his thoughts on privacy and running a bootstrapped SaaS business. Plausible integration is already available in Open SaaS as a privacy-friendly alternative to Google Analytics. We hope this interview helps you understand the value of such a product, and the nature of running an open source business.
Here’s a few other things we’ve covered in this interview:
Tackling big tech privacy issues.
How bootstrapping your business fuels independence and transparency.
Real, practical advice for growing your SaaS the smart way.
Let’s dive in!
Can you share a bit about your background and what led you to start Plausible?
I’m Marko Saric, co-founder of Plausible Analytics.
My journey with Plausible began with a growing awareness of the privacy issues surrounding Google and its products. For many years, I was a user of Google’s services but over time (and thanks to Snowden, Cambridge Analytica and other privacy scandals), I became more aware of the negative aspects of surveillance capitalism. This led me to explore better, more ethical alternatives to the big tech products.
I started sharing these alternatives on my blog which is how I connected with my co-founder Uku. We both had experience in tech and a shared vision of working on a privacy-friendly analytics tool so we decided to work together on Plausible. I’m focused on marketing and communication side of things while Uku is focused on design and development.
For those unfamiliar with Plausible, how would you describe its core mission in just a few sentences?
Plausible Analytics is an easy to use, lightweight, open source and privacy-friendly analytics tool. Our mission is to provide website owners with useful insights while respecting visitor privacy.
We have been working on Plausible for more than 6 years now, have more than 14,000 active subscribers at this point and have counted more than 136 billion pageviews so far.
Here’s an interactive demo of Plausible Analytics:
Plausible is bootstrapped and open-source—what made you choose this path instead of taking the more common VC route?
We chose to bootstrap and open source Plausible because we wanted to maintain control and independence while also being more privacy-friendly and transparent.
Both of us have worked at venture funded startups in the past and neither of us had good experiences with investors so going bootstrapped was pretty much the way to do this if we wanted to do things our way.
We’re in the privacy niche so open sourcing our product allows us to build trust as people can inspect our code to verify that our actions match our words. People cannot do that with Google Analytics and other competing products.
Do you have any advice for people who are considering bootstrapping their company? Do you have any books or podcasts to recommend?
I think it’s a good idea to start bootstrapped even if you do wish to get funded. You should focus on creating a great product that solves a real problem and on spreading the word about it. If you do that well, you’ll have investors reaching out to you even if you don’t want or need them.
I recommend reading “Rework” by Jason Fried and David Heinemeier Hansson. It offers unconventional but valuable insights into running a startup.
Another good book is “This Is Marketing” by Seth Godin. It’s about how many startups confuse marketing with spending money on advertising, spamming, interrupting, being annoying and other hacks and tricks. That’s not marketing. Marketing is communication.
How did you get your first customers?
Our first customers came through community engagement and the “build in public” movement. We shared our journey, steps taken and product development openly on our blog, social media and niche communities such as Indie Hackers. That’s how we got the early beta users and some of those became our first subscribers too.
What were the biggest challenges you faced while building and growing Plausible?
The first year was pretty challenging in terms of growth. Uku was working alone on Plausible trying to do both development and marketing. This is pretty much an impossible task. The growth was very slow and we made it to about 100 subscribers and $400 MRR some 14 months into the existence of Plausible.
That’s when Uku decided to look for a marketing co-founder and that’s how we found me. Being two co-founders helped us put more time and effort into marketing and communication. One of the first things we did when I joined was to change our positioning to make it crystal clear and easy to understand what we do, what we stand for and how we compare to Google Analytics (the biggest name in our market). And then we started publishing educational and informative content covering topics such as privacy, open source, bootstrapping and startup marketing .
I have written more about the changes we made in these early days in this post.
Which growth strategies have been the most effective?
We have a boring marketing strategy and we say no to all the growth hacks and other best marketing practices. Content marketing has been our most effective growth strategy. As an example, the first blog post that I published (Why You Should Remove Google Analytics from Your Site) went viral on Hacker News. It drove some good traffic to our site leading to an increase in brand awareness.
What matters is doing quality work and staying consistent with it over a longer period of time so we continued to publish multiple blog posts per week for over a year. Thanks to that work, we’ve been fortunate enough to achieve the viral moments on Hacker News multiple times over those first 2-3 years.
I have shared more about our early years, marketing steps we’ve taken, lessons we’ve learned and things we have achieved in blog posts such as this one. Our analytics dashboard is open to the public so it’s possible to see the progress we’ve made since day one in our stats.
What role has the community played in Plausible’s growth? Have there been any surprising or particularly impactful contributions from the community?
The community has helped shape our product and spread the word about our mission.
We have an open roadmap and listen to the product feedback which determines our development prioritization. This is where feature requests and other feedback is very valuable to us. We pretty much pick the most upvoted feature and work on that.
As mentioned earlier, we don’t do any traditional marketing as in we don’t do any paid advertising nor pay anyone to recommend Plausible. This means that most of our growth comes from people who love using Plausible and who share their experiences with the world. Without people spreading the word about Plausible it would be difficult for us to do what we do. So that’s why community contributions is vital for us.
What’s next for Plausible? Are there any upcoming features or improvements you’re particularly excited about?
We’re focused on continuing to improve Plausible and making it even more useful and competitive while staying true to our mission and meeting rigorous standards for stability, security and privacy.
Our developers are currently working on the top two most upvoted feature requests from our public feedback board (scroll depth and saved segments) so that’s very exciting. It would be great to release these two big features soon!
On Feb 12th, 2025, we learned about a security vulnerability in the updateCurrentUser function of our Open SaaS template. Users of apps built with Open SaaS can exploit this vulnerability to edit any field in their own User database record, including fields they weren’t supposed to have write permissions for, like subscriptionPlan and isAdmin.
If you created your app with the Open SaaS template before Feb 14th of ‘25, your app potentially suffers from this vulnerability, and you should apply the fix from this report as soon as possible. Check out vulnerability and fix sections.
The vulnerability does not affect the “vanilla” Wasp apps (Wasp apps not built with Open SaaS template) or those that modified the problematic part of the code enough to eliminate the problem.
Since then we fixed the vulnerability in all the versions of the Open SaaS template, did a coordinated vulnerability disclosure (culminating with this report) with the suggested fix, reviewed all the other templates and example apps of ours for similar security vulnerabilities, analyzed what at the first place enabled such omission to happen on our side, and prepared a plan on how to minimize the chance of similar mistakes happening in the future.
We sincerely apologize for the impact and inconvenience caused by our mistake. Caring about code quality is at the center of our culture here at Wasp, but in this instance, we failed to follow up on our standards. We are deeply disappointed by it and will ensure we learn from it, improve, and regain your trust in the code we ship, especially as Wasp is heading from Beta toward 1.0.
The vulnerability
The vulnerability is caused by the updateCurrentUser function in src/user/operations.ts (or in src/server/actions.ts if you used an older version of Open SaaS):
While this Wasp Action correctly allows the user to modify only data in their own User database record, and not of other users, it does also allow them to potentially change ANY of the fields on their own User db model, including fields like credits, subscriptionPlan, and isAdmin, due to data: user line in User.update() call. Particularly troublesome is the ability to set isAdmin to true, as it gives them further privileges they shouldn’t have.
An example of how a bad actor could exploit this is by creating a user account in your app, obtaining their own auth credentials via browser dev tools, and then sending a modified request to the HTTP route of updateCurrentUser Wasp Action with a payload that sets the isAdmin field to true for themselves.
The fix
The fix consists of three main steps:
Refactor updateCurrentUser function to updateCurrentUserLastActiveTimestamp
Implement additional Wasp Action(s) for updating user data if needed
Refactor updateUserById function to updateUserIsAdminById
Refactor updateCurrentUser to updateCurrentUserLastActiveTimestamp
In the Open SaaS template, as it comes when you create a new project with it, the Wasp Action updateCurrentUser isn’t used for anything else but updating the lastActiveTimestamp field on the User model, despite its general nature. Therefore, we recommend the following fix:
Rename the operation updateCurrentUser to updateCurrentUserLastActiveTimestamp. Make sure to update its name in all the places: main.wasp, client code (i.e. src/client/App.tsx), server code (i.e. src/user/operations.ts).
Rewrite the operation updateCurrentUserLastActiveTimestamp in src/user/operations.ts so it receives no arguments and only updates the lastActiveTimestamp field on the User:
Notice that also the name of the type of the operation changed, so you will want to update the type import, and we also changed the operation’s Input type to void.
Remove all arguments from the call to updateCurrentUserLastActiveTimestamp in src/client/App.tsx:
if (today.getTime() - lastSeenAt.getTime() >5*60*1000) {
updateCurrentUserLastActiveTimestamp(); // <- no args anymore
}
Implement additional Wasp Action(s) for updating user data if needed
If you were using updateCurrentUser in your code beyond just updating lastActiveTimestamp, to allow the user to update some other User fields, we recommend also defining additional, more specialized Wasp Action(s) that will handle this additional usage.
For example, let’s say that in your app you additionally defined fullName and address fields on the User model, and you were using updateCurrentUser to allow the user to update those. In that case, we recommend defining an additional Wasp Action called updateCurrentUserPersonalData. It could look something like this:
// NOTE: This is also a good place to do data validation if you want to.
const fullName = personalData.fullName
const address = personalData.address
return context.entities.User.update({
where: {
id: context.user.id,
},
data: { fullName, address }
});
};
Refactor updateUserById to updateUserIsAdminById
Finally, while not a security vulnerability, we also recommend updating the related Wasp Action, updateUserById (you can find it next to where the updateCurrentUser function was), in a similar fashion, to ensure it can’t do more than we need it to:
Rename from updateUserById to updateUserIsAdminById.
Rewrite updateUserIsAdminById to only allow setting the isAdmin field:
Notice that we modified the shape of the operation input (now it is { id, isAdmin }), so you will also want to update the calls to this operation accordingly.
Additional reading
This second part of the report is not required reading: all you need to know in order to fix the vulnerability is in the “The vulnerability” and the “The fix” sections. But, if you want to learn more about what caused the vulnerability, how we handled it, and what are we doing to prevent similar mistakes from happening in the future, read on!
Coordinated vulnerability disclosure
The challenging part about handling a security vulnerability like this one is that we have to make the knowledge of it public so that all the people with affected apps learn about it and how to fix it, but then at the same time we are also making that knowledge easily available to any bad actors that might want to try to exploit it.
One of the popular approaches is coordinated vulnerability disclosure and it is also what we chose to follow in this instance. We decided to disclose the vulnerability in stages, with 1-week pauses in between:
Stage 1 (private disclosure): We assembled a list of everybody we knew was building and deploying apps with Wasp / Open SaaS, be it from our community on Discord, from online search, or from interacting with them in the past. We privately reached out to everybody on the list and shared the details of the vulnerability and the fix, while also asking them to keep it confidential till we go public with it.
Stage 2 (community disclosure): About a week later, we shared the details of the vulnerability in our Discord community, while again asking people not to share it publicly till we go public with it.
Stage 3 (public disclosure): Finally, a week after the Stage 2, we shared the vulnerability fully publicly.
How did this happen?
TL;DR: Failure in our code review process.
At Wasp, we care a lot about code quality, the code review process, and software craftsmanship in general. PRs get thoroughly reviewed, we do our best to write Clean Code (with a grain of salt), we think a lot about naming, we produce RFCs for any complex feature, our codebase is strongly typed (Haskell and TypeScript), we keep track of all the issues and ideas publicly on our GitHub to not lose sight of them and to also get community input and be transparent.
Commitment to these practices does get tested regularly: Wasp is moving fast and is changing a lot since it is still pre-1.0, so there is always more tech debt going on than one would like, but we always felt like we managed to stay on the good side of our commitment to these practices: they enable us to be efficient but also to enjoy and be proud of our work.
So what happened then, what enabled this vulnerability in Open SaaS?
Open SaaS started as a one-person experiment, a simple template/boilerplate starter for Wasp, so we didn’t do the usual thorough code reviewing of every PR at the very start but thought we would do it fully later, once it shaped up a bit. Also, it is just a template, not a library/framework, people can read/modify the code as they like.
Open SaaS did shape up, and not only have people started using it, but it really picked up, more than we ever expected, and we were getting a lot of positive and constructive feedback, feature requests, ideas, bug reports, … . We started reviewing all the new code thoroughly, but we still haven’t done the full retroactive review. We have done some of it, for parts of more sensitive modules, and some of it happened naturally through refactoring, but we haven’t done it systematically for the whole codebase. We would discuss during every quarterly planning how we should do it this quarter, but there was always something with a higher priority, especially on the Wasp side, and Open SaaS was doing great, if there was anything serious, we would already know about it, we thought.
And then we learned about a function in our codebase that allows a user to set any data, without runtime validation, as a partial update for their User record in the database. This function was barely even used in the Open SaaS codebase at this point: it was used only to update a single field in the User database model, and even that usage should have been refactored into something better already. This function was an obvious code smell, but we never reviewed it properly.
The fact is, we never should have made Open SaaS publicly available without doing a full code review of it first. Once the code is out there, be it just an example app, a template, or a library, we can’t guess how it or its usage will evolve, or how will our priorities evolve. Once an exception in the (review) process is made, it is much harder to find the time to catch up on it, than if we did it when we should have done it in the first place.
What we are doing to prevent similar mistakes
No code/documentation goes public without a thorough review.
We have been doing this from the very start for the Wasp framework codebase, but we were more lenient with the templates and example apps. From now on, there will be no exceptions.
We checked all our existing templates and example apps for vulnerabilities.
We have done a thorough review of the Open SaaS template codebase.
We have already merged a lot of code quality improvements based on it, and we are in the process of merging the rest.
We will make it harder at the Wasp framework level to make a similar mistake.
The mistake of passing unvalidated/unparsed data is too easy to make - we will, latest for Wasp 1.0, enforce runtime data validation in Wasp, for Operations, APIs, and other externally facing methods. We also have good ideas for advanced access control support in Wasp, which should further make it harder to make these kinds of mistakes.
Timeline
What follows is the timeline of the actions we have taken since we learned about the vulnerability, in order to minimize its impact:
Feb 12th, 2025 (Wed), 10 pm CET: we learned about the vulnerability (thanks Ivan Vlahov!)
Feb 13th (Thu):
Made an action plan on how to handle the incident, including how we will execute the coordinated disclosure.
Fixed all the versions of the Open SaaS template, to prevent new projects from being affected.
Feb 14th (Fri):
Wrote the “Incident Notification” document with a detailed explanation of the problem and the suggested fix.
Compiled a list of the people we know are deploying Open SaaS / Wasp apps and privately shared the “Incident Notification” document with them, giving them ~ a week of head start before we go more public with the incident.
Reviewed all the other Wasp templates and example apps for similar security issues.
Started a deep (re)review of all the Open SaaS code (that will continue into the next week).
Feb 17th (Mon):
Continued deep review of Open SaaS code.
Feb 18th (Tue):
Continued deep review of Open SaaS code.
Finalized first draft of this Incident Report document.
Feb 19th (Wed):
Continued deep review of Open SaaS code.
Feb 20th (Thu):
Continued deep review of Open SaaS code.
Notified our Discord community about the incident by sharing the “Incident Notification” document with them, giving them a week of head start before we go fully public with the incident.
Feb 21st (Fri):
Finalized the deep review of the Open SaaS code (while continuing with the code improvements).
Feb 26th (Wed):
Went public with the incident by publishing and sharing this Incident Report.
Meet Ricardo - he has successfully launched multiple SaaS products, turning his ideas into revenue-generating apps. If you’re looking to build and launch your own product efficiently, we’re about to share some of Ricardo’s key strategies.
He’s a developer with a background in telecom engineering, having held leadership roles at companies like Vodafone and Glovo. But after years of putting fires out in management, he returned to hands-on development, focusing on building apps that solve real problems—fast.
By leveraging Open SaaS, Ricardo was able to ship multiple projects quickly, skipping the usual headaches of setting up authentication, payments, and other things every SaaS needs. In this post, you’ll discover what types of SaaS products he launched and the strategies he used to get them off the ground.
Why Ricardo Chose Open SaaS
When searching for frameworks to kickstart his projects, Ricardo stumbled upon Open SaaS, a 100% free, open-source starter for React & Node.js. and. He was drawn to Open SaaS because of its simplicity, community, and modern tech stack. He also liked the fact that the company had Y Combinator seal of approval.
“The fact that Wasp is low-friction and uses a great stack like Prisma, React, Node.js, and TypeScript—made it stand out. Plus, the community is super helpful. You can get started fast without spending hours on setup.”
What Ricardo loves most:
Pre-built Features: Open SaaS relies on Wasp - a full stack framework for React, Node.js and Prisma. The way Wasp handles routes and authentication was a game-changer.
“Just putting routes in main.wasp makes everything super simple. Auth works seamlessly, too.”
Focus on Building: By handling repetitive setup tasks like setting up payment integrations or making admin dashboards, Open SaaS allowed Ricardo to focus on core features.
Adaptability: regardless of the idea he had - a full-fledged SaaS, or a Google add-on which needed a robust-backend and a dashboard, he was able to build the app with Open SaaS boilerplate starter.
“I didn’t feel limited by the boilerplate—it’s flexible and gets out of the way.”
Ricardo’s Projects Built with Wasp
Ricardo started a few projects with Wasp, while working on the third one he started before discovering Open SaaS.
Article Generator
Built in less than 7 days.
40+ paying customers.
This tool simplifies content creation for businesses by generating SEO-friendly blog posts with AI. Article Generator is competing in a crowded market of AI writing tools, where each tool claims that it’s the best one on the market.
Ricardo is using Open SaaS to focus on feature development while testing pricing strategies to differentiate the product from the rest of the market. Integrations with Stripe, Open AI, and similar helped him move faster than he could on his own. His first clients came from Reddit and he has a standard subscription monetization set up.
⭐️ Star the
Open SaaS repo
and support tools that help you build fast!
Meeting Reminders
Bult in less than 7 days.
400+ paying customers.
This tool is a Google Workspace add-on that reduces no-shows by automating pre-meeting reminders. His competitive edge is that he covers WhatsApp alongside SMS and email reminders. Meeting Reminders app shows how versatile Open SaaS boilerplate is, because it can handle edge cases like this one and integrate into Google’s system.
Calls being skipped was a huge pain for Ricardo when he was working at a VC company. His day would include a lot of calls, and the cancellation rate was high. Once he started emailing participants before the call, the number of cancellations reduced significantly. Some time later, he built the tool himself to automate this 😃
In this case, Open SaaS handles backend tasks like subscription checks and authentication. Because of that, this is a lightweight app that solves a niche problem effectively, and doesn’t require a lot of maintenance.
The first users were people he knew personally, and he did a bit of promotion on targeted groups on Slack and Discord. Since it’s a Google Marketplace app, anyone looking for Meeting Reminder add-on will have a chance to see it.
He also relies on SEO, and guess what, he pushed a couple of blog posts with his first SaaS, AI Article Generator. As he said before, you should make tools that scratch your itch first. 😃
Tips for Builders Launching Products
Validate Before You Build
“Start by searching Reddit or similar platforms to find out if people are already solving the problem. If they are, ask yourself: can I do it better or faster?”
Diversify Launch Strategies
Avoid relying solely on Product Hunt
“It’s not as effective as it used to be.”
Explore short-form content like TikTok for quick validation. You can create a company account and post videos that showcase the problem and the solution.
“Their algorithm is great for targeting the right audience.”
Use targeted Reddit ads to reach niche communities.
Start small
“If you’re entering a competitive space, start small. Validate your product’s unique edge by solving specific pain points and adjust based on user feedback.”
Iterate Quickly
“Launch fast, gather feedback, and refine your product. You don’t need to build the perfect app on day one—get it out there, see how people use it, and adjust.”
I wanted to share my journey building a micro-SaaS, CoverLetterGPT, which now earns $550/month in recurring revenue (MRR)—all while requiring minimal effort and maintenance. Here’s how I did it and why I believe small, simple SaaS apps are an underrated way to start as an indie maker.
BTW, I built Open SaaS, the free, open-source SaaS template based on what I learned from building and launching CoverLetterGPT.
Because Open SaaS is a community-driven project, it also benefits from community feedback and contributions, so it boasts a clean codebase and a ton of useful features. Check it out and give us a star! We’re always improving it.
⭐️ Star the
Open SaaS repo
and support open-source tools for builders, by builders!
Small Wins Are Worth It
Many developers think a SaaS has to be big, flashy, or wildly profitable to be worth building. I disagree. For me:
$550/month is fantastic as side income.
It runs itself, requiring virtually no maintenance.
I can balance it easily alongside my full-time job.
It’s fun and doesn’t consume my free time.
Here’s why I think you should aim for small, achievable SaaS projects instead of trying to “hit it big” from the start.
Build & Launch Fast
The most important lesson I’ve learned: speed is everything. The faster you launch, the faster you’ll know if your idea works. Here’s what worked for me:
Use the fastest tools available: I used Wasp because it gives me all the building blocks already set up (auth, database, cron jobs, email sending), letting me focus on the business logic of the app. Paired with Chakra UI, I was able to build the app in about 1 week.
Forget perfection: I didn’t worry about making it pretty or perfect—it just had to work.
Keep It Simple
The beauty of micro-SaaS is in its simplicity. Here’s why:
My app does one thing well: generating cover letters based on résumés and job descriptions.
There’s no need for a fancy landing page or marketing gimmicks. This is my 🌶 hot take.
Users get 3 trial credits—enough to try the app and see value before paying.
One of the biggest perks of micro-SaaS is how low-maintenance it can be. With CoverLetterGPT, I rarely handle customer service thanks to its simplicity.
This means I spend my time on new ideas rather than maintaining old ones.
It’s All About Tradeoffs
While I could optimize and grow CoverLetterGPT further, I’ve chosen to keep it small and simple. For me:
Small wins are still wins.
I value having a side project that’s easy to manage alongside my full-time job.
I’d rather have less stress than chase higher profits.
Links & Resources
If you’re thinking about launching your own SaaS, here are some helpful resources:
If you’re considering building a SaaS, don’t overthink it. Start small, move fast, and treat it as an experiment. Forget the “rules” and focus on launching. Here’s what matters most:
Keep it simple: Build an app that solves one problem well.
Launch fast: Test your idea and iterate based on real feedback.
Minimize effort: Aim for maximum reward with minimal maintenance.
For me, $550 MRR isn’t just “enough”—it’s amazing. It’s proof that small, focused apps can succeed, and they’re a great way to build confidence and skills as a maker.
Let’s stay in touch!
If you found this helpful, check me out on Twitter where I like to build in public and share what I’m learning and building.
⭐️ Star the
Open SaaS repo
and support tools that help you build fast!
