Posted daily progress updates, screenshots, behind-the-scenes stuff. Got likes, some nice comments, almost zero actual signups. Made me wonder if "build in public" is overrated for early traction, or if I was just doing it wrong.

For those who got real early users this way, what made the difference? Was it a specific platform, a different kind of content, or just consistency over a longer time than 3 weeks?

There seems to be a huge divide in micro-SaaS right now between:

1. Offering a generous free-forever tier to build word-of-mouth and top-of-funnel traffic.

2. Hard 7-to-14 day free trials with a strict paywall to weed out free-riders early.

I'm currently mapping out pricing for a utility-focused mobile/web app where the core daily actions cost almost nothing in compute, but predictive analytics and data exports add up.

The fear with freemium is supporting thousands of users who never convert, but the fear with hard paywalls is high bounce rates before users form a daily habit.

I have a free tier that costs me real money every time someone uses it, and no way

of knowing who's using it. I'm looking for the least invasive way to cap it.

The background: I took the account requirement off the front of my product a few

weeks ago. You can now use the expensive part of it without signing in, and you only

We built an automated setup to cut down on repetitive team tasks and speed things up. It handled basic cases fast, but the moment tiny exceptions popped up, it broke or got things wrong.

Instead of saving hours, our team now spends that time reviewing and fixing the automated outputs. It didn't solve the workload, it just moved the effort to a different step.

What rules do you follow to decide which processes stay manual versus which ones get automated?

I spent yesterday debugging a payment flow that an AI assistant confidently generated for me. The happy path? Flawless. The part where a user's card declines mid-transaction and we need to retry with exponential backoff while logging to three different services? The assistant completely missed it and didn't even flag that it was skipping anything.

It got me thinking about where these tools actually excel versus where they consistently fall short. They're genuinely exceptional at scaffolding, at spinning up the obvious structure of a feature. But the moment you need to handle what shouldn't happen race conditions, partial failures, the weird state your system ends up in at 2 AM they seem to lose the plot entirely.

I supported GitScrum early on by purchasing their $299 Lifetime Deal (which is a massive investment here in Vietnam, equal to 2 months of a worker's salary). Back then, the product was broken, incomplete, and barely usable. We bought it hoping to support them and grow together.

Fast forward to today: they have completely locked down the old platform so we can't even access it anymore. They rebranded to an "AI Agents" platform and told lifetime deal holders that our licenses do not transfer. If we want to use anything, we have to pay all over again.

Taking people's money for an unfinished product, promising lifetime access, and then completely locking us out to force a new paywall is pure scam behavior. Beware of their products and future deals!