I’ve spent enough time in the industry to know that most “advice” on how to ship a side project in public is just a thinly veiled sales pitch for a new SaaS tool or a complex Kubernetes setup you don’t actually need. People will tell you that you need a perfect CI/CD pipeline, a polished landing page, and a curated Twitter following before you even write your first line of code. It’s a lie. In my experience, the best way to learn how to ship a side project in public is to embrace the mess and realize that your initial stack should be as boring and reliable as possible.
I’m not here to sell you on a lifestyle or a specific framework. I’m going to tell you how to actually get code into a production environment where real people can break it, and more importantly, how to survive that process without losing your mind. I’ll share the trade-offs I’ve made—the ones that saved my sleep and the ones that cost me a weekend—so you can avoid the same mistakes. This isn’t a roadmap to success; it’s a guide to shipping things that work, even when they inevitably fail.
Table of Contents
Moving Beyond the Perfectionist Indie Hacker Workflow
The standard indie hacker workflow usually involves a lot of polished screenshots and “milestone” announcements that feel more like marketing than engineering. I’ve seen enough of it to know it’s often a performance. When you’re just one person with a limited amount of mental bandwidth, trying to maintain that level of curation is a recipe for burnout. You end up spending more time crafting the perfect tweet about your progress than actually fixing the race condition in your database layer.
If you want to actually finish something, you have to trade that performative polish for radical solopreneur transparency. This doesn’t mean posting every single line of code you write; it means being honest about the technical debt you’re accumulating and the features you’re abandoning because they turned out to be useless. I prefer a building in public roadmap that looks more like a messy engineering log than a corporate slide deck. It’s about showing the friction. When you document the “why” behind a pivot or a failed deployment, you aren’t just building a product; you’re building a verifiable history of decisions. That’s much more valuable to a community than a sanitized version of success.
Why Your Initial Building in Public Roadmap Will Fail
Most people approach a building in public roadmap like they’re planning a high-availability migration at a bank: they map out every milestone, every feature, and every social media post months in advance. They think transparency is a scheduled broadcast. But real life—especially when you’re working a day job and trying to squeeze in code between cycling sessions—is much messier. You’ll find that your carefully curated plan for sharing progress on social media usually hits a wall the moment you encounter a bug that takes three days to squash or a third-party API that decides to deprecate its entire authentication flow without warning.
The failure point is almost always the assumption that your audience wants to see your polished roadmap. In reality, the most valuable part of the indie hacker workflow isn’t the successful deployment; it’s the friction. People don’t connect with a seamless, linear progression toward a launch. They connect with the moment you realized your database schema was fundamentally flawed and had to rewrite the entire persistence layer on a Tuesday night. If your plan doesn’t leave room for unplanned pivots and technical debt, you aren’t actually building in public—you’re just performing a highly choreographed version of it.
Five ways to stop over-engineering and actually start shipping
- Pick a stack you already know. I spent three weeks once trying to learn a new database for a project that ended up being a glorified Todo list. By the time I figured out the connection pooling, I had lost all interest in the actual product. Use the tools that let you write code, not the ones that force you to read documentation for four hours before you can save a single row.
- Automate the boring stuff early, but don’t go overboard. You don’t need a complex Kubernetes cluster for a side project. Set up a basic CI/CD pipeline that runs your tests and pushes a container. If it takes more than ten minutes to go from `git push` to “it’s live,” your automation is too heavy.
- Build a “kill switch” for your most experimental features. When you ship in public, people will find the edge cases you missed. Instead of panicking and trying to hotfix a broken feature while your Twitter notifications are blowing up, have a simple way to toggle that feature off without a full redeploy.
- Document the “why,” not just the “how.” When you’re building in public, your logs and your commit history are part of the story. Don’t just write “fixed bug.” Write “fixed the race condition in the payment callback that happens when the user double-clicks.” It helps you debug later, and it helps your audience understand the reality of building software.
- Accept that your first deployment will be slightly embarrassing. You’re going to leak an API key, or you’re going to forget to configure CORS, or you’ll realize your database schema is fundamentally flawed. That’s fine. The goal isn’t a perfect launch; the goal is to have a live URL that you can point people to, even if it’s held together by duct tape and prayer.
The Reality Check
Stop treating your side project like a thesis; your goal isn’t a perfect architecture, it’s a live URL that someone other than your mom can actually click on.
Publicly sharing your progress isn’t about vanity metrics or Twitter engagement; it’s about creating a paper trail of your decisions so you don’t have to re-solve the same configuration headache six months from now.
Expect the “public” part to be messy. You’ll leak a dependency version or miscalculate a cost, and that’s fine—just document the fix immediately so the mistake becomes part of the project’s history rather than a recurring nightmare.
The Post-Mortem of Your First Ship
At the end of the day, shipping in public isn’t about building a following or hitting some arbitrary growth metric on a dashboard. It’s about closing the loop between your local environment and the messy, unpredictable reality of real users. You’ve realized that your roadmap is probably wrong, your tech stack is likely overkill, and your perfectionism is just a way to avoid the discomfort of being judged. But once you stop trying to engineer the perfect launch and start focusing on shipping the smallest possible unit of value, the anxiety starts to fade. You aren’t just building a product; you are building a documented history of your own mistakes, which is far more valuable in the long run.
So, go ahead and push that code. It will probably break, and you will almost certainly regret some of the architectural decisions you made at midnight. That is fine. The goal isn’t to be a hero who writes flawless code on the first try; the goal is to be the person who knows exactly how to fix it when the alerts start firing. Stop waiting for the “right” time to go public. The most important lesson I’ve ever learned didn’t come from a textbook or a successful launch—it came from a production incident that I actually survived. Go break something, and then write down exactly why it happened.
Frequently Asked Questions
How much of my actual codebase should I be showing, or am I just broadcasting progress updates without substance?
Don’t dump your entire repository on Twitter. It’s boring, and frankly, nobody wants to review your boilerplate. I’ve found that showing a snippet of a particularly nasty regex or a screenshot of a messy database schema is much more engaging. People don’t want a tutorial; they want to see the friction. Show the specific logic that gave you a headache for three hours. That’s where the actual substance lives.
At what point does "building in public" stop being a way to get feedback and start becoming a distraction from actually writing code?
It becomes a distraction the moment you start optimizing for engagement instead of engineering. If you’re spending more time debating a color palette on Twitter than you are debugging your database migrations, you’ve drifted. Building in public is meant to be a feedback loop, not a substitute for a roadmap. If the “updates” feel like performative marketing rather than a way to validate a technical decision, put the phone down and go back to the IDE.
How do I handle the inevitable "drive-by" criticism from strangers who don't understand the technical constraints I'm working under?
I’ve learned to treat drive-by criticism like a malformed API request: acknowledge the input, but don’t let it crash your process. Most people aren’t attacking your architecture; they’re just projecting their own preferences. If a stranger tells you your tech stack is “wrong,” remember they aren’t the one getting paged at 2 AM when the database locks. Listen for a grain of truth, discard the ego, and keep shipping. Your priority is stability, not consensus.
If I'm shipping in public, how do I decide which parts of my architecture are actually worth documenting and which are just noise?
Don’t document your folder structure or your choice of linting rules; that’s just noise. I only write things down when I feel that specific, nagging dread that I’ll forget why I made a weird architectural compromise. Document the “why,” not the “what.” If you chose a single-node database because scaling was a problem for next year, write that down. If you’ll spend three hours debugging your own logic in six months, it deserves a note.
