@kzzy47 40 tickets a day with 0% auto-resolve is exactly why activity metrics can be dangerous.
The system looks busy while the outcome is still zero.
Which metric ended up being the one that actually told you whether the agent was useful?
@iamericpereira A 27% revenue lift from simplifying the first screen is a strong reminder that more navigation isn't always more useful.
What did removing the extra choices change most — activation speed, understanding, or confidence?
@ucheokorolive This is a useful way to think about the cheapest offer.
It's not only reducing friction — it's deciding who enters the customer base first.
Have you ever changed an entry product because it was attracting the wrong kind of customer?
@nonemmerp This is the hidden cost of discounting that rarely gets discussed.
You're not only lowering today's price; you're creating a reference point for that customer segment.
Do you think discounts ever work cleanly without becoming an expectation?
@MehulFanawala Customer #14 and the 11th MRR customer feels like a much better signal than a launch spike.
At this stage, are you learning more from what brings each new customer in, or from what keeps the earlier ones paying?
@danifromik@ProductHunt@github@Reddit@LinkedIn@YouTube@instagram Interesting that LinkedIn DMs beat the more visible launch activity.
That feels like a good reminder that distribution doesn't have to look scalable on day one.
Was it the directness of the DM, or the existing relationship, that made it work?
@con4ig That's a useful correction from the calls.
You thought the value needed a dashboard; users wanted the result in one click.
What else have the conversations made you remove or simplify from the original v1?
One thing I'm noticing from founder conversations:
Builders add more because it feels like more value.
Users often ask for less friction.
A dashboard can look impressive. One click can be more useful.
Sometimes the product work is removing the ceremony.
@Eric_lluhen This is the unglamorous side of agentic systems.
The interesting question isn't whether the agent can act, but what happens when it behaves strangely at 2am.
What was the last midnight alert actually about?
@Brothers_Media_ That five-day silence after purchase is interesting because the customer has already made the decision, but confidence can still wobble.
Have you tested which message in that gap makes the biggest difference?
@adityamulukuri That split makes sense: distribution earns the first chance, but retention decides whether the growth compounds.
Where did retention break first for you — onboarding, activation, or getting people back after the first use?
@vitverb@winning_HQ This is the bit scripts struggle to capture. The questions are easy to write down; knowing when to stop following the script is judgement.
Have you found an artifact that transfers that — call notes, examples, decision rules, something else?
@markfromdiesl That matches how credits feel from the buyer side: one more thing to translate before you know the real cost.
Where do you think credits are actually useful — when usage genuinely varies, or mainly when the company needs to protect margin?
@con4ig That feels like the useful part of the loop. The landing page found people who cared; the calls should show what they actually need.
What has changed in v1 already after those first conversations?
@BrunoBdev Support tickets seem like one of the best places to find product signal because customers are telling you what hurts without being asked for “feedback”.
How are you ranking requests — frequency alone, or also customer value and how badly the issue blocks them?
@papkemark1@TTrimoreau Low churn at $500 MRR feels more interesting than the revenue number itself.
Some group is repeatedly choosing to keep paying.
What keeps making you want to scrap it — slow growth, or doubt about the problem itself?
@udohjeremiah_ That unexpected reason feels more useful than confirmation of the original pitch.
It's the market noticing value you didn't have to teach it to notice.
Did you change the positioning after that customer, or wait to see if the same reason came up again?