... design problem explains zero interest in the thing itself, and solo makers usually spend the design money before they know which one they have. adana, of the products you've seen struggle, how many were actually a polish problem versus nobody wanting it? Comment from Sansa Grey(@sansa_grey): One thing i have learned that users dont care that the UI took you two days to perfect. they care that they found the button they needed in five seconds. Comment ... ... value. Even bringing one in for a few key screens, user flows, or a design system can make the product feel much more polished and intentional. So for me, it s less about AI vs

... room has nothing to do with that. That would explain the gap you noticed without developers being better testers. Both groups are being honest. Only one of them was asked a question their presence has already biased. The practical split is to stop treating this as one number. Whether the thing works is a usability question and five people will mostly answer it, because the failures repeat. Whether anyone wants it is a demand question, and favour testers cannot answer ... ... twenty or at two hundred. Of the people testing now, how many arrived on their own rather than being asked? Comment from Arnold Oshenye(@oshylabs): Bharat's point about views versus

... screenshotting. If growth only happens when you personally post, you've built a job, not a loop. That's a design problem, and you can solve it the same way you solve any other feature. I'll admit the bias here. At Murror we spend our days on a product about understanding one person deeply reflecting someone's emotions back with real insight instead of a generic mirror and the longer we do it, the more I think distribution ... ... this: if building is no longer the moat, then the moat is available to anyone willing to do the unglamorous work. Knowing your person. Owning a relationship instead of renting attention. Being early to a workflow before a competitor

... expects it, an AI analyst that actually gets answers right Each of these is somebody's entire company. Your team is going to build all 5 as a side quest, and then maintain them forever. I'll admit my bias upfront: we sell BI software, so obviously I'd say this. And there are real exceptions, like when analytics is your core product, or your data model is genuinely weird. If you're Amplitude, build it (obviously). But for everyone ... ... felt this so strongly that we turned our whole product into an API for exactly this use case. Launching it on Product Hunt today , take a look! Comment from Tarqiya Forgah(@tarqiya_forgah): I like that you acknowledged the bias

... hikers and runners is such a practical, unglamorous problem that actually matters a lot in the western US right now. Pulling in NOAA data instead of just a generic AQI number is the detail that makes this useful vs just another weather app. Love that it's free and just meant to be used, that's a refreshingly simple goal in a sea of monetization-first launches. Upvoted and following, hope this gets in front of the hikers/runners who need ... ... Have you found that early customers care more about speed gains or about creative control over what the AI surfaces? That answer usually shapes the entire roadmap. Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... makes pricing easier. Products from anonymous creators compete on price. Products from known practitioners with a track record compete on trust. That's a completely different conversation. Comment from Samir Asadov(@samir_asadov): For specialist/practitioner products this 'brand vs product' framing breaks down the product IS the brand statement. A financial model template built from real deal experience signals more credibility than a thousand brand posts ever could, because the buyer (a CFA with a deal on their desk) reads ... ... were only concerned w/ my wellbeing I'd do the same, but when I have others I'm responsible for, and they themselves have mouths to feed, I think differently about the long term effects of my brand vs

... cycles. Similar to recursive learning, the plan grows and evolves after each run, the errors are catalogued and added as analysis structure for each future run. The main benefit is the loss of lockin, sunk cost and hubris biasing the repo. We don t care what the code looks like as long as it follows all our rules and returns results. Yes automated, but nothing can replace human in the middle. Most of the major advances have come from watching ... ... output, the llms continually go down their own biased

... programmer than a marketer, but you do not possess that skill. Personally, I find programming harder to learn for a marketer than for a programmer to learn marketing. How do you perceive it? Maybe I am just biased because I have been working in the field for longer. Comment from Stoyan Minchev(@stoyan_minchev): I tried to learn German two years ago. I was learning every day for around 800 days. I did not miss a day! I barely understand ... ... seems that the more shallow campaign you do (very basic), the more likely people are to understand. Comment from Kristian Hedman(@kristian12): You can learn anything. We all have innate qualities that arguably make us better suited for X versus

... question of choosing between two evils for us now. Neither option is completely free of flaws. Human: Recruiters with "gut feelings" who harbor unconscious bias. they reject excellent candidates who just didn't go to the "right" school or didn't just "click." Inconsistent, unfair, and un-auditable. AI: Algorithms whose training datasets are themselves replete with historical biases