... text-to-image AI where you see what prompts actually produce before you spend anything A close friend of mine runs a small online shop. Last month she tried an AI image tool, spent $15 in two weeks, and quit. When I asked why, her answer hit me hard: I got maybe 3 images I could actually

... your brand already knows you exist. The more interesting question is whether ChatGPT, Perplexity, or Gemini recommends you when someone asks for the best tools in your category. Build a list of 30 50 prompts your potential customers might actually use. For example: What's the best [category] tool for startups? [Competitor

... idea, a very basic version might not appeal to them. Comment from Alex L(@alex_luan): For MVP, I'd rather have a founder with good product taste plus AI instead of hiring a designer too early. Once users actually start to use the product, hiring a designer makes more sense because we know what problem worth designing. Comment from Adana Marukhyan(@adana): @itzhaydar  Thanks Comment from Alex L(@alex_luan): @adana We re preparing for our first product ... ... messing ideas and do a lot of overengineering. Even with specific isntructions to not do so. I find my self debugging a lot of flows that does not make much sense and bugs that only a Human with an actual

... curious whether "launch on the weekend" is actually good advice or just a myth people repeat. So I pulled every Product Hunt launch from Jan 1 to Sep 1, 2026, 4,962 launches across 244 days, and looked at how many points it actually

... government-regulated companies. Then the company decided to move from being project-based to product-based. And that's when things got really interesting... I started leading product research, helping with UI/UX, figuring out what features the market actually needed, and working with developers every day. That's when I realized something: I loved building SaaS. Not just marketing it. Shaping something around a real problem. Figuring out what people actually

... hear more about that. We might be able to help. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  the random-id-on-activation trick is the right call. weekly active hides exactly the churn-vs-loyal split you're describing, twenty once-and-done and twenty daily users report the same number. Comment from Sabber Ahamed(@sabber_ahamed): @busmark_w_nika   @abdullah_javaid3  "triggered it again on a different day without you asking ... ... much more effective to talk about the building process and share examples through animated GIFs and product videos, rather than simply asking people to sign up. Comment from Alex Gidirim(@alex_gidirim): @busmark_w_nika The behavior-versus

... something specific, I ll usually ask ChatGPT first, then check Product Hunt or Reddit to see what real people are saying. Google has become more of a second step for me. What I m curious about is whether thats actually changing discovery for other makers too, or if I m just unusually deep into AI tools. For those building SaaS products: are you seeing people discover you through AI yet? Or is Google still doing most of the work? Comment ... ... from Ben Cohen(@bencohen): @oshylabs  That makes sense. The free-text question at conversion is probably the closest thing to ground truth we have right now, because at least it comes from the actual

... this problem in the first place. The more I learned about hiring, the stranger the whole system seemed to me. Companies can get hundreds or thousands of applications for one job, recruiters have nowhere near enough time to actually understand every candidate, and somehow we're still relying mostly on a document people wrote about themselves to decide who gets a chance. A document, that isn't gonna list the same opportunities a single mother first generation immigrant had versus

... Start with the one number here that isn't someone's marketing. Pew Research put browsing software on 900 US adults and watched 68,879 real Google searches in March 2025. Not a survey about how search feels. Actual behaviour. When an AI summary appeared, people clicked a traditional search result on 8% of visits. When it didn't, 15%. Roughly half. They clicked a link inside the summary itself on 1% of visits. And they ended the browsing session ... ... referrals under 1% of sessions. Hold both: the old channel is shrinking, and the new channel is currently a rounding error that converts fine, not magically. Anyone selling you urgency on this is selling you something. Which leaves the actual

... Frontier models now cluster above 90% on the public benchmarks, and Gartner says over 40% of agentic projects get killed by 2027. Those two facts are closer to the same fact than they look here's the eval that actually predicts whether your thing ships. There's a number that decided which model your product runs on. You saw it on a leaderboard or in a launch post 94% on this, state-of-the-art on that ... ... made you feel safe picking. I've done exactly this. That number is close to useless for the thing you actually

... typical day looks something like: Work normally across a few projects Switch between models and tools depending on the task Hit a usage limit, or see the invoice at the end of the month Try to work out what actually consumed it Realize the answer isn't really there I want to know things like: Which project is using the most? Which model is responsible? Was it one huge session, or hundreds of smaller ones? Am I paying for long ... ... context, retries, or tool calls? Am I using an expensive model for work that didn't really need it? Which parts of my workflow are actually

... Watched a product go from "hoping to get featured" this morning to #1 by this afternoon, and paid attention to what actually pulled people into the comments instead of just counting upvotes. The single comment that got the most reaction wasn't a pitch. It was the founder admitting a real gap straight up, saying a part of the product wasn't built well yet. That pulled more replies than any feature announcement in the same thread. The founder answered ... ... nearly everything within minutes, including comments that pointed out real problems, and never got defensive about it. The speed plus the lack of spin seemed to matter more than what the answer actually

... years by people who cared about how it feels to use. Dark, considered interfaces. Whitespace that isn't accidental. Content that is the product, not decoration bolted onto a spreadsheet. The short answer to "what's the best LinkedIn alternative in 2026" is this: builders aren't looking for another feed. They're looking for a professional network that was actually

... couldnt download a video in hd quality. then as a dev, when something doesnt work, you think "let's build it." so i got the same thought. i started researching idea validation and found like 0.2% of websites actually worked fine, but they were full of shitty ads. i thought this is the perfect market , we should go all in. and when i checked their traffic i got shocked , cause they werent getting one or two million, they were getting ... ... tens of millions. after some weeks of confusing "thinking" with actual

... rule is roughly: predicate what you serve, redact what you receive. The awkward middle is a field you receive and then pass on, which is where most of these systems actually live. Comment from Dale Mooney(@dalemooney): @alex_amancio_candoa_   @aadilghani  Constant versus

... Been building almost entirely with AI-assisted tools, and the thing I've found matters most isn't how fast the AI generates code, it's having a real, repeatable way to verify what it actually did before trusting it's correct. A recent example: I had a security researcher report what looked like a real vulnerability. Turned out the AI-assisted fix from weeks earlier had shipped correctly, but the researcher's finding conflated two different things, the anon ... ... being visible client-side (expected, normal) versus

... Genuinely curious how people here actually think about their own data security not in theory, but in practice. Do you feel confident it's actually

... analysis unprompted." That second part is the actual signal for me, not the first. Main goal of the PH launch itself is closer to what you're describing: building social proof and getting the product in front of people who'll actually

... Since our last launch we've been heads-down on one thing: making "this integration works" actually mean something. Here's what changed, and why we're more confident than a month ago. What we shipped? Five integrations now recognize the bugs people actually

... apparently didn't search, with zero indication anything had been missed. It wasn't even a hard case, the file just wasn't in the directory it happened to grep first. What was your moment? And did it actually change your workflow afterward, or did the trust creep back in after a week like it always seems to for me? Comment from Brent Carlson(@brentcarlson): This thread is a reminder that if you want something done right ... ... Anything that removes or combines items has to show me what it touched and why, so the judgment stays with me. And to your last point, the trust does try to creep back, but on anything that changes the actual

... fourteenth time this week. A motivational quote about hustle printed over a sunset. Three humblebrags disguised as life lessons. One "I'm grateful and blessed" announcement with 4,000 likes. And somewhere, buried under all of it, maybe one actually useful post. This is the daily reality of LinkedIn for most programmers. They tolerate it because they feel they have to. They hate it because, honestly, it deserves to be hated. Here is exactly why. The Spam Never Stops ... ... developer" in your headline, the messages start. About 35% of LinkedIn connection requests are followed by aggressive sales messages, according to research from email management company Superhuman. That means one in three people trying to "connect" with you are actually

... product was this - R1 - recruiter1.io - ended on #238 - 12 upvotes. Now the good part - all these are FAKE - none of these people created any account or actually tested anything - all is FAKE - i do not know these people - Taha The end-to-end encryption angle is genuinely thoughtful, especially for a recruiting tool where privacy usually takes a back seat to features. Mark as readReplyAward View Upvote 5h ago Unread Cansu the no-login share flow is genuinely smooth, felt ... ... sending a link and not signing my life away Mark as readReplyAward View Upvote 7h ago Unread Devran T ktas Tried it out and the single-link sharing feels really clean, no logins or weird redirects. Curious how the crypto actually

... stages, sectors and geographies Investment theses, portfolios, recent investments and latest fundraises Individual investor backgrounds, focus areas, career histories and past investments Verified emails where available Sources for the underlying research Non-investment staff separated from the people who actually make investment decisions But the goal was never to build another giant directory or give founders a CSV and wish them luck. You add your company, and Causo works out which funds actually

... already get pulled into AI search now do more heavy lifting than a pile of plain links ever did. High DA links still matter for ranking in Google's top 10. But they won't do what most teams actually want in 2026, which is showing up inside AI Overviews, ChatGPT answers, and Perplexity citations . What still works: Relevance over volume. A link from a site in your niche that drives real traffic beats dozens of low-quality links. Earn ... ... category queries. Original data and digital PR. Surveys, benchmarks, and proprietary research earn the kind of editorial links that Google values and AI systems trust. What no longer works: Chasing DA alone. A relevant link from a site your actual

... that let any logged in user read rows that aren't theirs. None of that throws an error. It just sits there until someone finds it. For the non-engineers building real products with this stuff, what does your actual security check look like before you launch. Are you running anything to scan for this, paying someone to review it once, asking the AI itself to audit its own code, or just shipping and hoping nothing bad happens. Curious ... ... there is an actual