... trust the quiet thing over the number that feels good today. Glad our paths crossed here, Tiffany, this was a good one. Comment from Sharun Kanan(@sharun_kanan): @rohanrecommends  Thanks Rohan, and yeah, #2 feels good. Your vertical-vs-horizontal point is one we've had to answer architecturally. The horizontal layer is the foundation: Verse Engine (our browser-native 3D engine) and VersaAI (image/text to 3D) are the infrastructure everything runs on. But we don't take that ... ... talk to users before looking at the data, or do you use the data first to decide who to talk to? Comment from Somesh Putatunda(@somesh_putatunda): @sharun_kanan   @rohanrecommends  Really appreciate this, Rohan. The vertical-vs

... found one this morning, a reply I owed a client since last Tuesday, sitting three notifications deep between two things that felt louder. Nothing about it looked urgent when it arrived. It just sat there while everything else took the seat marked urgent first. Curious what yours is, the one you know about, have not done, and keep telling yourself you will get to today. Comment from Stephanie Tang(@stephanie_t0317): Mine is usually not the difficult follow ...

... having specified a clear enough boundary between pieces, so it happily wired two things together that should've stayed separate. it feels less like coding faster and more like the cost of skipping design just shows up sooner and louder than it used ...

... However, that's also the limit: they're pattern-matching against general UX conventions, not against the actual problem you're solving. Feedback that's sharp but doesn't apply to your target audience isn't more useful, just louder. Users are the opposite. They often can't name the fix (and they shouldn't), but they know when something's off, even when "it's okay" is the whole sentence. That's not thin feedback. It just needs ... ... only one using your own product daily, that's actually not nothing! It means YOU have the problem you're solving. The question is whether others share that same problem. What's been your experience with early user feedback vs

... been generating a lot of music with Suno lately, but I always felt the final tracks were missing that polished, "release-ready" sound. So I built MIXIFY.STUDIO . The idea is simple: * Upload your AI-generated track * Get a cleaner, louder, more balanced master in minutes * No audio engineering knowledge required It's made especially for AI-generated music, not just generic mastering. I'm still improving it, so I'd really appreciate honest feedback: * Does it sound better? * What features ...

... done you validate ideas with AI (6-dimension scoring, on-chain timestamping so your idea is provably yours), find collaborators who actually fill the gaps in what you re building, and build in public so your progress speaks louder than your title ever could. No more credential-first profiles. No more 10 years of experience as a substitute for here s what I actually shipped last month. In private beta 10 days in: 3,130+ active testers ...

... what the actual job entails. Developers have noticed. Only 12% of developers use LinkedIn as their main source of technical information, according to a Stack Overflow survey. Most are on the platform purely because they feel they have no alternative, not because they find it genuinely useful. The Fake Everything Problem LinkedIn has a trust problem that is getting dramatically worse, not better. In the second half of 2024, LinkedIn identified and removed 80.6 million fake accounts at the point ... ... professional identity actually lives. That place should be somewhere built for people who build things. Comment from Ludovica Eleazer(@ludovica_eleazer): For me, LinkedIn isn't the problem. I just prefer building things over talking about them. Results speak louder

... middle of a black canvas as a point of light, and each sound is a glowing orb you can drag around yourself: a hearth, rain, a stream, a city somewhere in the distance. Pull one closer and it gets louder. Slide it to the left and it moves to your left ear. It's real binaural audio, so with headphones on it feels like you're sitting inside the room instead of listening to a track. The reply ...

... would hold their attention for twenty minutes instead of forty seconds. That is the entire premise. Not where you've worked. What you've built. The Real Answer Is Not Either/Or In 2026, the strongest combination is not resume versus profile. It is resume plus profile. One gets you noticed in the first seven seconds of a scan. The other gets you remembered for the twenty minutes after that, and it is the twenty minutes that actually decide whether ... ... resumes now? Comment from Roy Kek(@roy_kek): I believe profile seems better. As its kinda like github for developers. Comment from Ghost Kitty(@ghost-kitty-9606238): Comment Deleted Comment from Nolan Vu(@nolan_vu): The "20 minutes vs

... this journey with us! https://www.producthunt.com/prod... Comment from Variindar Vaissh(@variindarvaissh): @hambali_salisu  Mainly just more proof points - more volume, more real customers, more data to back up what we're telling the judges. Numbers speak louder than pitch decks. Comment from Isaac Joseph(@isaacjosepkq6w): @variindarvaissh how do you measure success beyond awards and recognition? Comment from Variindar Vaissh(@variindarvaissh): @lee_jay1  Hey! If Sendr's story resonated with you, we'd really appreciate an upvote ...

... workflow automation side if you're ever curious. Would love a quick look and your feedback on AI Hive: https://www.producthunt.com/prod... Comment from Nolan Vu(@nolan_vu): @harmeet_singh13  The audit tool showing what an AI fetches vs. what humans see is a genuinely useful framing. Most brands have no idea their site looks completely different to an LLM than to a person clicking through. GEO is still pretty early so I think tools like this are going ... ... look back at AI Hive too. We're focused on helping teams automate internal workflows, think less manual coordination, more actual output Comment from Richie Varghese(@ric_v36): What you're building: Building NexQL, a PostgreSQL extension for VS

... real challenge is the tiny moment between someone landing on your site and deciding to give it a shot. You can do everything "right" and still hear crickets. Learning that growth is about removing friction, not just shouting louder, has been the hardest (and most useful) lesson so far. Comment from Eduard Akimbaev(@eduard477): I ve been through it all: investor rejections, meeting with people from the Forbes Kazakhstan cover, and taking a 9-to-5 job just to have ... ... credential to accept that the credential itself is the bottleneck. nobody disagrees that hiring is broken. everybody is loyal to the broken artifact because it is the only one they know how to make. the workaround: ship the alternative

... makers try a channel for 2 weeks, see nothing, and bail. The ones who win usually just stuck with one thing long enough for it to compound. But for an actual tactic: read your own ad comments and your competitors'. Not the likes, the comments. People tell you in their own words why they won't buy, what they're confused about, what they actually want. That language goes straight into your copy and it converts because it's theirs ... ... felt important converted nobody, and two quiet ones did all the work. Without the tags I would have spent another month doubling down on the wrong place. The data picks your channel, not your gut. And go narrower, not louder

... Approval push with full proposed-action payload, resolvable in place. Needs-input push that labels simple-vs-complex so you know whether to answer or open. Completed silent list. That's four different treatments, and you basically specced them. That's exactly the shape Pushary is built around, so genuine last question: for needs-input, how would you want it to decide simple-vs

... wrong audience . The people showing up weren't the people with the problem. No amount of better timing fixes that. Your follower-count point is the same lesson from a different angle: reach to the wrong people is just louder noise. The thing I'm doing differently this time is talking to the people who actually have the problem for weeks before launch, so the launch is a moment in an existing conversation instead of a cold start. Comment from ...

... mistake or make up in formation so it is crucial that we force it to raise question and double check the result so that the info is checked or validated carefully Comment from Arnold Oshenye(@oshylabs): Go narrower, not louder. I launched a training app for one specific type of lifter today, and the only things that have moved the needle are unscalable: real conversations with personal trainers, individually tracked links so I know which human sent which sign ...

... will go first. The meeting where everyone nods and no one disagrees. Not because they agree. Because they have checked out. They do not think their opinion matters. They have stopped investing. That silence is louder than any argument. Here are other non obvious signs I have learned to watch for. 1. The roadmap keeps growing but nothing ships. You have a list of features. It gets longer every week. Nothing gets checked off. The team is busy. Meetings happen ... ... team moves to an "okay, we figured it out" mode. Suddenly, the comfort zone exists . Now the cost of staying in it is lower than the cost of leaving it. But the market doesn't stop changing. Competitors

... winning with AI content are not publishing more. They are publishing the same amount but using AI to research, outline, and polish. The human still does the thinking. The winning teams use AI to go faster, not to go louder. They publish less. Each piece has original data, a real example, or a point of view. That is what gets cited. 5. Obsessing over the first hire. Founders spend months looking for the perfect first engineer, first marketer, first salesperson ... ... choices that actually change the answer. Things AI does not do well that the model still hangs on: deciding whether a long-term contract counts as revenue or financing, picking a DSCR target for a merchant power project versus

... thought we knew We assumed enterprise customers wanted the same things as our small business users, just more of it. More security. More control. More features. We never talked to them. We read blog posts. We looked at competitor pricing pages. We guessed. Here's what we missed: Procurement cycles. Enterprise deals take 6-12 months. We had 30-day sales cycles. We weren't built for that. Security reviews. We needed SOC2. We didn't have it. Customers asked ... ... lessons. What stands out is how common this pattern is. Teams assume enterprise is just more features, but it s actually a completely different motion: longer sales cycles, compliance, onboarding, and trust layers. Also love the point about data vs

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... responsibility. AI may compress execution. I m not sure it compresses wisdom. Comment from Sumit Khanna(@voizematic): @edward_g thanks Comment from Rohan Chaubey(@rohanrecommends): Honestly, I think we're moving into times when your work speaks way louder than your age or years in the industry. It would be almost laughable if somebody claimed to be "senior in AI" based on years alone when someone who just started last month might be more focused and know way more than ... ... someone who's been dabbling for five years. The real shift is that now we can actually see who produces results versus

... less. Still takes a lot of resources. Ministral series of Mistral models are pretty good and freely available. Comment from Roy McKenzie(@roymckenzie): @soniasarao_  well said. A lot of tech world falls for the "latest political gimmick" with louder voices picking sides or pushing their ideological preferences. The winners will be the ones that drown these partisans out and focus on making the best product. Comment from M Aliyan(@maliyan): Always Claude Comment from Zackary Goncz(@zackary_goncz ...

... about to make Votap arguments louder. Very soon, you ll be able to reply directly to comments on politicians and news articles creating threaded discussions instead of one long wall of opinions. Votap is about open dialogue. Agree. Disagree. Challenge each other. (Preferably in a civilised way let s try ) We don t want echo chambers. We want real conversations and yes, sometimes that means being confronted with views you don t agree with. If you want to take part ...

... about to make Votap arguments louder. Very soon, you ll be able to reply directly to comments on politicians and news articles creating threaded discussions instead of one long wall of opinions. Votap is about open dialogue. Agree. Disagree. Challenge each other. (Preferably in a civilised way let s try ) We don t want echo chambers. We want real conversations and yes, sometimes that means being confronted with views you don t agree with. If you want to take part ...

... emerging brands as well as the big guns. You don t have big teams, fancy tools, or unlimited budgets. It s pure internet ninja tactics. And with AI-generated content flooding our feeds, marketing becomes even more critical. Not louder. Smarter. More human. The marketing superpowers that matter now If you re an aspiring marketer, or hiring one, these are the skills that matter these days imho. 1. Human touch Start here. You are marketing to humans. Real people. With ... ... product still has to deliver. marketing gets you the first click, but product gets you the second visit. both matter, but in different ways. Comment from Narmin Farzaliyeva (@narminfarz4): Anyone can generate content now, but knowing what's right vs