We've all been there. What's pissing you off right now?

I just pulled our analytics for October, and I feel sick looking at it. We finally cracked the code on traffic our SEO efforts and a few viral TikToks brought in 50,000 unique visitors last month. I was thrilled. I thought we were about to hit our first $10k MRR milestone.

Then I looked at the actual conversions. Out of those 50,000 people, only 40 created an account. That s a conversion rate of 0.08%.

I ve spent the last week analyzing session recordings, and it's painful to watch. People are landing on the page, scrolling around for about 15 seconds, and then leaving.

I showed the page to a friend, and he pointed out the obvious: our headline is way too vague. We wrote it for ourselves (we know what the product does), but a cold visitor has no idea what problem we are actually solving. Our call-to-action (CTA) is also buried at the bottom. We were so focused on getting traffic that we completely neglected the message for the people arriving.

Hi all! I m a long-time lurker, first-time builder. Still early in building my first product, and I feel overwhelmed by the amount of decisions I need to make every day.

Most of them feel small when I make them: a tool, a structure, something I m skipping for now. I can t tell yet which ones will matter, and I m guessing some will only show their cost once other things are built on top.

Hello everyone!
I'm currently focused on SEO and keyword targeting to drive initial traffic for my AI product. It's a slow burn, as anyone who has wrestled with Google knows.
I'm hitting a cold start wall and would love to hear from the community:
What were your most successful and non-obvious cold start strategies for your AI product?
Any advice, especially about communities, early adopter channels, or unique marketing hacks, would be greatly appreciated.
Thanks in advance for sharing your wisdom!

I see a lot of "raise your prices" advice, and I mostly agree with it, but I think it's hiding a harder question: sometimes raising prices is the right move, and sometimes it's a way of avoiding the fact that your positioning is wrong and churn is telling you so.

The distinction I'm trying to draw: raising prices to capture value you're already delivering is good. Raising prices to fix a conversion or retention problem is rearranging deck chairs.

The tell, I think, is whether your existing customers would pay the new price. If yes, you were underpriced. If no, you have a different problem.

Curious how others have told the difference especially anyone who raised prices and then realized the real issue was something else entirely.

I went through YC as a solo founder and I'm 6 years in now. I sometimes wonder whether I'd go solo again if I started a new company.

The good parts are obvious. No cofounder conflict, fast decisions, all the equity.

One workflow in my app can take about a minute on the first run because it reads several pages before producing a report. The work is happening, but a spinner makes it feel frozen.

I added clear progress stages and cached repeat runs. That helped, but the first run is still slow.

If your product has a long-running AI or research task, what helped users feel comfortable waiting? Did clearer progress make a difference, or did you have to redesign the task?

I just got off a brutal call with a prospect we ve been courting for six weeks. They are a mid-sized logistics company, exactly our ideal customer profile. We did the demo, they loved the UI, and the VP of Ops said our automated reporting would save his team hours every week.

Then he asked about the price. When I quoted our standard $3,000/month plan, he went quiet.

An hour later, he emailed me saying they decided to pass. They are going to keep using the Excel spreadsheet their intern built three years ago.

I was shocked. Our product solves the exact pain point they complained about. But when I dug deeper, the reality hit me: their current spreadsheet is "good enough." It s a mess of broken macros and manual data entry, but it costs them $0 in software spend and they already know how to use it. The friction of learning our tool and migrating their data (plus the $36k annual price tag) outweighed the pain of the spreadsheet.

I was thinking about how annoying traditional sign-up forms are with all the CAPTCHAs and email verification steps. If an AI assistant is trying to set up a service for its owner our current onboarding flows completely block it. Allowing bots to auto-create accounts sounds like a fraud nightmare but forcing a human to manually type in details feels outdated.

I'm leaning toward letting the AI fill out all the fields while keeping just one single click for the human to approve everything.

How are you handling this in your own apps are you keeping sign-ups strictly human, or opening the door for agents?