We spent weeks optimizing canned responses and automation just to drop our initial reply time down.

The numbers looked awesome on paper.

The catch? users kept replying back with follow-up questions because the fast answer didn't actually solve their issue. Taking an extra minute to send a complete answer up front saves way more back and forth in the end.

What main metric do you actually care about when measuring support success?

I have been in the blockchain/crypto industry for 5 years now. Both as an investor and as a developer. I have launched many products on ETH, Polygon & Cardano network.

This thread though is more about the investor side of things. How are you folks dealing with the volatility of this particular cycle? The uncertainty from the politics and regulations that are coming from US side? Feels like the business market cycle will never play out right?

Hey, fellow founders, CEOs, and other unemployed people of Product Hunt
We all saw that three of our website viewers in a month came across our vibe-coded piece of AI slop mostly from ChatGPT.
That means that for a website to be viewed and listed by an AI crawler is as important as it was for Google. Not only that, but it is also important to feed these AI models the right information about our AI slop.
As nearly all major AI companies said, they don't prioritize llms.txt, and it does very little job to get listed in AI answers, but will it be so in the future? I see that more and more websites still make llms.txt pages and there is a feeling inside me that sooner rather than later it will be a "priority" page to scan by AI crawler.
So what do you think? Is it all hype, or will it actually become something to think about right now?

A few years ago, while working full-time with an IT services firm, we lost a $50M deal with a leading telco in the GCC.

We had built early rapport with the head of their technical team.

So much so, we deployed senior solutioning leaders into their office for over a year.

Our team helped:

Hello friends , I am trying to figure out the actual mechanics here instead of just going by assumption. Product Hunt's day resets at 12:01 AM so a product launched late at night technically gets less exposure time than one launched right at midnight.

What I'm unclear on is whether an upvote's weight changes based on when it happens during that window, like early votes counting more toward momentum and ranking algorithms, or if a vote at 11 PM counts exactly the same as one at 12:05 AM

Also curious whether voting from a brand new or inactive account actually gets counted the same as voting from an established, active one, or if that affects ranking behind the scenes.

For people who've tracked this closely across multiple launches, have you noticed real patterns in when votes seem to matter most, or is it mostly guesswork and anecdote at this point?

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!