Over the past few months, I've been thinking about something that affects almost everyone who spends time online.

We have more access to information than at any point in history, yet finding something genuinely worth reading often feels harder than ever.

Every day, we're flooded with:

• Endless social feeds

• Newsletters

• AI-generated content

• Short-form videos

• Clickbait headlines

• Notifications

Last week I spent two days polishing an edge case in a settings panel maybe 2% of users would ever hit. Meanwhile my onboarding flow still has a broken redirect I've been ignoring for a month.

I think it's a comfort thing, polishing a small, contained feature feels productive and safe. Fixing the core flow means touching stuff that's scary to break, so it keeps getting pushed down the list.

Lately I've been trying a dumb gut-check before every commit: "would a user even notice if I stopped right here?" If the honest answer is no, I stop and move to something that actually blocks someone.

Curious how you all draw that line, is it a rule, a gut feeling, or do you just ship when you're sick of looking at it?

I joined product Hunt recently and feel a bit lost. between daily launches, upvotes, collections, and comments, it is hard to tell useful tools apart from products that just got votes from friends.
I am also unsure about the general etiquette. is lurking and upvoting standard, or should i be commenting? Do makers reply to questions from new users?
How did you navigate the site when you first joined? What habits help you filter out the noise and spot genuinely good tools?

Our landing page, product pages, design system, even our promo video, all of it came from AI tools plus taste. Five years ago this would have needed at least one designer on payroll and tons of Figma design effort.

Here's the uncomfortable part. The output is genuinely fine. Not award winning, but clean, consistent, and shipped in weeks instead of months. Nobody who visits our site asks if we have a designer.

Spent the last few weeks building three connected apps and shared microservices with Lovable/Cursor. The first 80% went shockingly smooth, the demo-stage stuff always does. Then real usage started, and the integration between services and the admin dashboard started throwing constant sync errors. A few different AI coding tools could patch individual symptoms but never quite nail the root cause.

For anyone who's taken an AI-built app past the demo stage: what was the first thing that actually broke once real users or data hit it, auth, data consistency, service integration, something else? And did you end up digging into the code yourself, or bring in outside help to sort it out?

Everyone has their strengths and weaknesses. Not everyone has a knack for marketing, content creation, community building, or other techniques. When it comes to marketing, what have you found to be the best tools and strategies to market your product when it's not your strength?

After months of growth in @ViralSort , MRR now looks stable and has started slightly declining.

Have you faced this stage before?

What did you do to restart growth?

My mum tells people I "work with computers". My dad has decided I have something to do with marketing, which is closer, and he says it with a slight question mark at the end. I've explained it properly maybe four times. It never sticks, and I've stopped being annoyed about that, because I think the fault is mine. Every explanation I give starts from the product instead of from the problem.

Which is exactly what's wrong with most homepages, including ours.

So what's your parents' version? And have you ever found a way to say it that actually landed?

I wrote a long essay following a talk I gave at AI DevCon in Brooklyn last month.

It starts out with an anecdote about hunting ChatGPT in December 2022 and goes on to explore what I think will be necessary to thrive as code becomes a commodity:

In December 2022, I hunted ChatGPT on Product Hunt.

It ranked #1 product of the day, then the week, and went on to be named Product of the Year.

Having co-founded a YC-backed conversational AI startup in 2018 (long before LLMs) I recognized in ChatGPT the missing ingredient that would have made that venture viable.

The future we d anticipated had arrived. I could revisit my old problem, or I could expand my area of potency by raising and deploying my own venture capital fund.

I chose the latter.

Three years later, on December 9th, I watched a 24-hour window on Product Hunt cross 500 launches roughly double what I observed throughout the preceding 825 days. Only 13 were featured; most were unremarkable.

The LLM has fundamentally shifted the economics of software development.

As someone with a dual vantage point being the #1 Product Hunter while investing in AI startups I watch the floodwaters rise in real-time.

What s become clear: SaaS is dying; VC is withering . Building software is not uniquely compelling. Code has become a commodity.

What most people miss about commoditization is that when a product or resource becomes abundant, it doesn t just get cheaper. It unlocks new and previously uneconomic uses.