... everyone, my name is Jonh Alex. I m from Pernambuco, Brazil, from a humble family. My parents did not finish elementary school, and my life was never really easy. A hard part of my story is that my father had problems with alcohol, and my family went through very difficult moments because of that. These things still hurt me a lot when I remember them. Even

... teamed up with Vercel and we want you shipping this Friday. May 15 is Vercel Day. Launch your product on Product Hunt that day with the Vercel Day tag and you're on the official Vercel Day leaderboard alongside every other builder going live that day. Top launches win prizes and get serious visibility from a crowd that's already paying attention. This is the move if you've been waiting for a reason to launch. You've got four ... ... tool. Also, Figma export is in the works! Comment from Ari(@arishaller): Launching Dispatch on Vercel Day webhook management for teams: one ingress URL, filters + templates, delivery to Discord, Slack, Telegram, and HTTP with retries and a full event

... incredibly good, I d even say almost perfect. And for many people, that uniformity of perfect templates is starting to feel annoying. For example, a few days ago, someone publicly showed that they built Anti-Grammarly a tool that intentionally adds mistakes to text instead of removing them (to make it feel more human). But the tool itself is AI, so it s a bit contradictory. 1) When we re so flooded with AI-generated content, do you have ... ... what about beyond text, like images or video? Comment from Nika(@busmark_w_nika): @amraniyasser  This is painful, it hurts lol :D Comment from Ekip Portal(@ekip_portal): I think AI-generated content becomes easier to notice when everything

... most exotic bug. The goal was to find the most common, expensive, and preventable patterns of failure. The results were almost identical across 85% of them. Here is what the data says. The Timeline to Failure Months 1 6: Everything worked. Fast releases. Happy customers. No time for architecture. Months 7 12: Progress slowed. Strange bugs appeared. "Fix it later" became the motto. Months 13 18: Every

... always been on the personal brand side. More and more founders are building it now (sometimes even before the product is ready while it's still in development, before seed fundraising). The CEO builds their position so the product sells more easily at the official launch. But I have experience with people who built the product, scaled it, and only then did we discover who was behind it. Honestly, with the first approach, I'd be concerned that people invest ... ... yeah, it would require a bigger sample to have some "general" conclusions. Comment from Nika(@busmark_w_nika): @jitain  Not gonna lie, in this era of AI is difficult to sell so you need to take advantage even

... first. I still reply to every comment manually. Reddit, LinkedIn, Product Hunt, forums, Twitter, Discord. Every

... There s a moment that almost everyone dreads after a trip or a group outing. The fun is over, the photos are posted, and then someone says, Okay so who owes what? What should be a simple calculation somehow turns into confusion. One person paid for dinner, another covered transport, someone else chipped in randomly, and suddenly no one is completely sure what s fair anymore. People either spend 20 minutes doing mental math or worse, just split everything

... months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness." We launched the tier. Sent emails to our biggest users. Ran LinkedIn ads targeting "Head of IT" and "VP of Infrastructure." Zero. Not one signup. Not even a demo request from an enterprise account. The real cost Let me put numbers on it. Cost category Amount Engineering time (3 people 6 months) $180,000 Product management $60,000 Marketing (ads, content, emails) $25,000 Opportunity cost (features ... ... 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

... most important and challenging experiences you ll have as a founder is fundraising. I pitched VCs across London and San Francisco. Some spent 15 seconds on my deck. Some took the call just to diligence a competitor. One told me to ask for more money. Oh, and I found out your pitch is probably being recorded and run through AI. This is the high-impact version of all of those lessons to save you time, energy, and emotional damage. Please ... ... what they spent time on, and how long they read for. That data is useful. If someone spends four minutes in your deck, great. If they spend 15 seconds, prepare to be underwhelmed. It won t tell you everything

... place. But this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative

... Here's the uncomfortable truth: most spaced repetition apps are designed by power users for power users. They've lost sight of the actual goal: remembering things. MemoRep is different. It was built on one insight: simplicity beats complexity every time. The Problem: Feature Creep vs

... There are millions of apps across the App Store, Google Play, and the Microsoft Store. New ones launch every single day. Yet when you ask developers where they can properly showcase their work to real users, most of them struggle to name more than one or two places. When you ask regular users where they go to discover quality apps beyond the top charts, the answer is usually nowhere. That gap has been growing for years and nobody was filling ... ... were unreliable. We also noticed something important. The few platforms that do exist for showcasing new software are almost entirely populated by other developers and founders. They are valuable communities for getting technical feedback, but they are not where everyday

... Hello everyone, This one cuts a little deeper. It's about self-editing. And self-rejection. I think most of us suffer from it. "I could never do that." "I could never say that." "I could never start that." "I could never ask that." I hear it all the time. Usually in response to things I'm doing - which, if you keep reading, you'll find deeply ironic. When I left my job to build @Meet-Ting , my co-workers ... ... school so I got an education. I've had opportunities. But outside of that, a lot of it is more basic. It's just doing. Or asking. Simplicity doesn't make it easy. Because I suffer, a lot, too. Every

... first. Someone told me: "Just be consistent. Post every day. The algorithm rewards consistency." So I did. For six months, I posted every

... 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

... Perplexity, Gemini, and more. In 120+ languages. We've now tracked over 3,000 brands, analyzed 75,000+ AI answers, and helped founders recover millions in lost revenue from AI errors. Total marketing spend so far: 15k. Here's everything we did with free resources you can use. 1. Narrative: From Agency Pain to Product Solution The story that worked for us: "We built this because we had to." We were an agency watching client traffic drop. Rankings were fine ... ... built one. Why this worked: People trust founders who built for themselves first. It's not a hypothetical product. It's a scar. Free resource: Your origin story is your best marketing asset. Write it down. Tell it everywhere

... founder of Munch. I built this because I kept watching creators spend hours turning one video into posts. You paste a YouTube or Vimeo URL Munch extracts the transcript using 5 fallback strategies (so it actually works on videos competitors choke on) Claude AI writes 8 complete, platform-ready pieces in ~60 seconds. No file uploads. No per-action credits. One munch = everything

... Everything Munch can do the full feature list + what's running under the hood ============================================================================ I've been building Munch for a while and realized I never did a proper rundown of everything

... sharper. A community member suggested rewriting our tagline to "antivirus for AI agents." Another seconded it. We adopted it on the spot. The PH community literally shaped our product positioning in real time. Multiple people asked about runtime monitoring. Every conversation validated that securing the source before execution is the right approach for this ecosystem. But the community pushed us to articulate WHY more clearly. For context on why this resonated: our audit of 2,890+ OpenClaw skills found ... ... Watchtower, better post-scan guidance for what to do next. Product Hunt launch tips from our experience Your maker comment matters more than anything else on the page. We went through 4+ iterations to get ours under 800 characters. Every

... direct answers. Before After "We help teams collaborate better" "We're a project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors

... built something remarkable. The code works. The design sings. Customers who find you, love you. But here's the problem AI will never just know . Unlike Google, which crawls everything and figures it out eventually

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

... features or limiting usage count on the free tier. Feature-gating feels cleaner, but usage limits let people try everything before they commit. Anyone here tried both and found one converts better? Comment from Takahito Yoneda(@y_taka): Your general versus

... just exposure, but the degree to which AI treats your brand as a credible source . Share of Voice (SOV): Represents your brand s voice share within AI narratives the probability that AI mentions your brand rather than a competitor when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... Everyone talks about winning AI visibility. Nobody talks about what happens when you get it and the AI gets it wrong. I've spent months analyzing AI answers at Rankfender. Here's the side nobody markets. The Problem When Google gets your site wrong, you fix the page and wait for recrawl. When an AI gets your brand wrong, there's no "recrawl." There's no "fix." There's just millions of users reading incorrect information about ... ... instead. Why This Happens AI answers aren't "wrong" in the way humans understand wrong. They're pattern-matching machines. If the pattern says "this brand had this problem in 2023," the 2026 answer may still reflect 2023 reality even