My Product Hunt launch is in two days. The gallery is ready, but it's all screenshots: a hero image and a few shots of the product in use. I don't have a video. I could spend the next two days recording one. I'd rather spend that time on the first comment and on replying to people on launch day, though, and I'm not sure a rushed video helps more than it hurts. If you've launched before, did your video actually change anything? Or did most people just look at the first image and read the tagline?

I've been thinking about this lately.

Every founder has questions, whether it's about hiring, fundraising, getting the first 100 customers, pricing, AI, operations, or simply making difficult decisions.

Building an AI agent is one thing, but deciding when it's actually ready for real users is much harder.

Unlike traditional software, an AI agent can perform perfectly in testing and still behave unexpectedly when it encounters new situations in production.

I'm curious how other teams approach evaluation before deployment.

Do you rely on benchmark tasks, automated evaluations, human reviewers, simulated user interactions, or something else?

I've noticed something across a few threads I've posted here.

The ones where I jump back in and reply to early comments seem to stay active longer, more people join in, more replies stack up.

But then I've also seen threads that got barely any response from the original poster and still climbed anyway, just from other people replying to each other.

So now I'm wondering if this is actually a signal that matters, or just something that feels true because we notice it when it happens.

Our launch day was incredible hundreds of signups, high engagement, and lots of positive feedback. We thought we had cracked the market.

30 days later, the cohort retention graph took a sharp nose-dive. The surge of early adopters brought curious visitors rather than long-term users, and as the initial hype wore off, the steady stream of daily active users dried up.

For makers who have launched on platforms like Product Hunt: how do you transition from top of funnel launch momentum to consistent week over week user retention?

Shipping an AI agent is only the beginning. Once it's being used by real users, monitoring becomes just as important as development.

Traditional software monitoring focuses on uptime, latency, and errors, but AI agents introduce additional questions. Are they making good decisions? Are tool calls succeeding? Are they completing tasks efficiently? Are they getting stuck or behaving inconsistently?

We spent weeks perfecting our product's core engine, assuming users would stick around once they saw what it could do. But our dashboard analytics told a harsh story: most signups dropped off right at the empty-state screen before hitting the "Aha!" moment. we replaced the blank dashboard with pre-filled sample templates and a 2-step setup. Activation rates jumped overnight not because the product got better, but because time-to-value got shorter.

Is onboarding friction usually a product design issue, or a failure to set expectations before the user even signs up?

I recently started building a tool for content creators and startup founders who want to stay consistent on Threads. I ve realized how hard it is to promote something when you re just starting and don't have an audience yet. If you don t have a big following or a budget, what worked for you?

• Did you focus on one platform at a time?

• Did you document your process?

• Did you post daily even if no one was watching?

Curious to hear how others approached early stage promotion. Right now I m experimenting with scheduling, batching, and smart tagging to stay organized while posting on Threads consistently but I want to learn what s working for others too.

Put up a simple feature list for my app a while back and users loved seeing what was coming. But the second a feature got delayed, people started emailing to check up on dates.

Nobody was mean about it but having strict timelines out in the open created way more stress than I expected. switching to a simple now/next/later setup helped a lot.

How do you guys share future plans without making yourselves feel bound to specific deadlines?

Almost every agent memory system I see is built to remember more and find it faster. Nothing in any of them knows how to stop believing something. A note that says "we tried X, it did not work" is written once and then never expires. Nothing in the system changes on the day it stops being true. It just sits there, gets retrieved, and reads as more authoritative every time it survives another run. A system that only accumulates gets more confident and less correct at the same time, which is a genuinely nasty combination because the confidence is the part people can see. There is a smaller version of this that shows up constantly. When an agent runs out of context mid task, everyone reaches for a handoff note, and handoff notes work strangely well. Worth asking why, because the agent had far more information available than the note contains. They work because they are lossy in the right direction. A note keeps the decision and throws away the reasoning that produced it. The raw context does the opposite: it keeps everything, including the three wrong turns that got corrected later, and restoring it restores the confusion along with the conclusion. So decisions and context are two different objects and most memory work treats them as one. A decision is "we went with X over Z because Y". Context is the forty thousand tokens of finding that out. Only one of those is worth carrying forward, and it is not the big one. What I actually want is a memory entry that carries the conditions under which it was true, so it can be invalidated by the world changing rather than by someone remembering to go and delete it. Nobody is asking a knowledge base to forget. Curious whether anyone here has shipped expiry properly, and what triggered it. Time, contradiction, or someone noticing by hand?