Launch day gets all the attention. The day after is the part nobody writes about, and it's the part I'm least prepared for.

The upvotes stop, the notifications dry up, and you're left with a product, some new signups, and a very quiet inbox. The temptation is to immediately start planning the next launch. I think that's a mistake the week after is when you actually learn whether the launch meant anything.

What I'm planning to do with those seven days: personally email every signup from launch day, ask one question ("what made you click?"), and read the answers before touching the product again. No new features that week. Just listening.

For people who've launched: what did you actually do in that week, and did it change what you built next? I'm especially interested in anyone who ignored the post-launch week and regretted it.

For the first year of our startup, it was just me and two co-founders writing code. We finally raised a small pre-seed round and decided to make our first big hire: a Senior Software Engineer.

We were thrilled when we snagged someone from a major tech company (think Google/Meta). On paper, they were a rockstar. The resume was flawless, they passed our technical interview easily, and we paid a premium salary to get them.

Early on, we measured success by how many features users activated during onboarding. But we noticed a trend: users loved the product during testing, left 5-star feedback, and then completely forgot to open it the next week.

The problem wasn't utility the tool solved a real problem it just required intentional effort instead of fitting into existing habits.

How do you bridge the gap between a tool that "works great" and a tool people naturally open every morning?

I've starred probably two hundred repos and I honestly couldn't tell you my own criteria. So I'm trying to reverse-engineer it, because I'm about to open source something and I want to understand what actually earns a star versus what just gets a polite look.

My suspicion is that it's rarely the code. It's usually one of three things: the README answers my exact question in the first screen, the demo shows the thing working in under a minute, or I saw the maintainer answer a hard issue thoughtfully and decided the project was alive.

The third one is the one I think people underestimate. A star is often a bet that the project will still be maintained in a year.

So: what actually made you star the last repo you starred and have you ever un-starred something? If so, why?

When we launched, we added a cheap $9/month tier thinking it would lower the barrier to entry. But surprisingly, most free user still stayed on free while users who would ve paid $29 jumped into the $9 bucket instead.

Looking at the usage numbers, user on the cjeapest tier actuallly had the highest support tickets and the shortest retention span.

Did removing low-tier plans help your conversion, or did it just shrink your user funnel?

Today, I read in Techcrunch that India has an ambition to "compete" with the US and China in the startup scene:

India has updated its startup rules to better support deep tech companies in sectors like space, semiconductors, and biotech, which take longer to mature.

In our meetings, we usually keep debating about what features to add to our product. But honestly, we need to be able to say NO to that.

Building became even easier with AI, so it is tempting to add a ton of features. The cost is how complex your app becomes. This is why products get messy fast. Usually it looks fine for old users, because they learned each feature slowly while you built it. But new users open the app and feel lost.

@busmark_w_nika asked yesterday what PH is missing and what people would improve. I am sure the team has enough to cook with now. So I want to ask the opposite:

• What should Product Hunt kill? What feature would the product be better without?

• What did you say NO to in your own product?

• What feature would you remove from a big product you use?

Vokal got #2 product of the day and #7 of the week, and we now have 100+ signups from startups and teams. In general, people seem excited to try it out to up-level their teams to agent native.

Now I m trying to figure out the next step: how do we scale this beyond manual founder-led work?

I ve been writing posts, sharing content, and doing outreach manually, but it s starting to feel like a constant drain and a bottleneck. I ve been looking into tools like HubSpot, LinkedIn Sales Navigator, Apollo, and Clay.

For people who have used any of these: what has your experience been? Which ones are actually worth it at an early stage?

whenever i give an agent write access i keep the riskiest action behind a separate check it cant talk its way past, because a prompt injected request looks exactly like a normal one. routing is plain code, the llm only writes the message. where do you draw the line, payments, sending emails, db writes?