Subscription creep is a silent killer for startups and solo builders. You sign up for a tool on a trial, add a few team seats for a project, forget to downgrade, and suddenly you're burning hundreds of dollars a month on software that overlaps or gathers digital dust.
I recently did a deep-dive audit of our monthly stack, and seeing the total tallied up was a cold reality check.
My entry on the wall of shame: $180/month going toward extra team seats on a project management tool we abandoned six months ago. It made me realize how easily these recurring expenses slip through the cracks when you're focused on building.
In the AI era, almost anyone can build a SaaS product. A Reddit summarizer, a LinkedIn job search tool, or many similar apps are no longer hard to create. Building is not the hard part anymore.
The hard part is getting real monthly recurring revenue. Many AI SaaS products never reach strong MRR. Many B2B products built with AI get accepted on AppSumo, and that gives founders a good early boost. Still, most of these products stay side projects instead of becoming large businesses.
Some founders solve real problems with deep technical skills. They write good code and build useful products. Yet they still fail. The product is not the problem. Execution is.
I made the same mistake with my first product. I repeated it with my second one. I focused on building and ignored go to market, sales, and distribution. I thought a good product would attract users on its own. It did not.
This time I will do things differently. I will start with marketing. I will find users, test demand, and learn how to sell the product. Then I will write the code. My view is simple.
Being the first mover does not guarantee success. A later competitor with better execution can still win.
Prepping our first launch and something clicked while planning the 24-hour comment coverage: our team is split between the US and India, which means midnight PT - the moment launches go live - is midday for half of us.
The usual advice treats distributed teams as a coordination problem. But for PH specifically, it might be a cheat code: fully awake people replying to comments during the hours when solo US-based makers are asleep or running on caffeine.
For those who've launched: how did you handle the graveyard hours? Did early-morning comment velocity actually matter to your ranking, or is the 9am 5pm PT window all that counts?
We build church management software for India - a market most Western SaaS completely ignores. Indian churches have completely different workflows, fiscal years, giving methods, and compliance requirements than US churches. Yet every existing tool was built for American congregations.
It got me thinking - how many other niche markets are being underserved because the dominant players only built for one context?
Hey everyone, I m currently building a small SaaS product, and I started thinking seriously about monitoring. Most tools (Datadog, New Relic, etc.) feel built for larger teams. Powerful, yes but also complex and expensive. So I m curious: What do you actually monitor in your small or solo SaaS? Do you track uptime only? Do you track latency? Do you rely on logs? At what point does monitoring start feeling like overkill? I m trying to understand what is truly essential vs. what is just enterprise noise . Not selling anything just genuinely curious how other indie builders approach this. Would love to hear your setups.
Just yesterday I prevented my team from adding an exotic feature to our product.
My hypothesis is that people don't like many features in a product as that complicates the product adoption e.g. many sales guys hate CRMs for this reason. In that sense, more features might equate to no features as users don't adopt/use the product. So, minimalistic products that solve 1 big problem (80% of the problem pie) is what people like.
