... noticed a pattern in my own product work: When I'm deciding what to build next, it's very easy to make a feature list. "Add this." "Improve that." "Users might need this." So I tried changing the question. Instead of asking: "What feature should we build next

... stand by our angels and finish the round with them instead. From a relationship standpoint, I think we made the right decision. For the business, I m less sure. A VC is incentivised to get you to the next round and bring their VC network. A potentially pivotal decision in hindsight. June I went full-time. a16z decided not to invest. They thought we had underestimated the technical complexity. I already knew we needed an exceptional technical co-founder. Through ... ... market: I speak Portuguese, Mariana is Portuguese and my wife is Brazilian. We ran a test in Portuguese. We recruited 100s of Brazilian users in three weeks, mainly thanks to Ting on WhatsApp. IYKYK . December Based on competitors

... Product Hunt. It currently handles ASL fingerspelling (A Z) recognition using MediaPipe hand landmarks + a TFLite LSTM model, and I also built Gesto Labeller (a desktop tool for capturing/labeling training data). I'm trying to figure out the next milestone and would love input from people actually using or evaluating it: Would full word/phrase-level ASL recognition (beyond fingerspelling) be more valuable than polishing fingerspelling accuracy further? Is real-time performance/latency on lower-end devices a bigger blocker than accuracy right ... ... Should the next

... changed our approach from: Pitch demo follow-up to: Understand the current workflow confirm real pain demo only when there s a reason to change. Now we re trying to figure out what deserves to be tested next. For founders who have been through this stage: Would you narrow down to a much smaller ICP? If customers say their manual workflow works fine, would you move on immediately? Would you change the positioning or question the core problem? What would ... ... learn from the next

... Next Generation of Travel Starts With Stablecoins and Better Payments. Coming Soon to Google Play & the App Store. Your next

... LinkedIn Feels Like Facebook Now. Here's What Comes Next. Open LinkedIn. Then open Instagram. Then go back to LinkedIn. You will feel the fifteen years. The blue-and-white template. The dense wall of text posts stacked on top of each other. The same "3rd" badge next

... solopreneurs and small business owners who are running Meta ads, spend way too many hours staring at Ads Manager asking the exact same question: The numbers are moving... but what am I actually supposed to do next? We re constantly told to "be data-driven," but most analytics tools just dump wall-to-wall charts and complex tables on you. You get dashboard fatigue instead of clarity, spending time deciphering reports rather than actually growing your product. That frustration ... ... built Xolora a marketing analysis tool designed to bridge the gap between raw data and actionable growth roadmaps. The Problem We re Solving: Data Noise vs

... Medium is worth nothing. But being quoted by an LLM has nothing to do with links. It is about the text existing somewhere the model has read. A nofollow link is still a sentence with your product's name next to a description of what it does, and that is the part that gets repeated back later. So your advice holds I would just not let anyone read it as a backlink strategy, because measured as one it fails completely ... ... Substack one more than the season. An audience you can reach without asking permission is the thing that does not depend on the algorithm having a good day. Season is real but it is a rounding error next

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... Thank you! The response today has been more than we expected, and your comments have been sharper and more useful than any survey we could have run. Here is what we are hearing so far, what we are building next, and where we would love your help. What is landing The feature you keep calling out is Trust This Price. Dozens of you shared the same story in different words. You caught a "sale" that was just the normal price ... ... that thin history becomes a flag in itself. We are refining this as more sellers move through the system. The critique worth repeating One of you asked the question we ask ourselves. Isn't a trust badge just the next

... systems that let a small team manage real volume - Why speed of testing and iteration becomes the only real moat This is the exact advice I d give someone who asked, How do we actually find and close our next 100 customers without burning out or wasting budget? 1. Know what you re actually buying Most B2B teams mix outbound, content/inbound, paid, and partnerships. Each channel buys something different: - Outbound (email, LinkedIn, sequences): Volume and direct access. Fast to launch ... ... sales process. Smart buyers disengage or treat it as just another vendor pitch. Keep the first touch deliberately minimal: - One clear problem you see in their world right now - One specific way you can help - One low-friction next

... chat interface (like ChatGPT, Claude, or Gemini). For a long time, none of them allowed you to just drop a big folder in it was one file, then the next file, then the next

... Tabstack launched on Product Hunt this week , and the team is already thinking about what's next. What should they launch? Take the poll. Spoiler alert. If you've followed the launch this week, you might have spotted some early previews: Structured Extraction - Convert any URL into markdown, JSON, or any custom schema Browser Automation - Run browser-like automations to interact with the web and complete tasks for you Automation Interactions What should Tabstack launch next

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... honestly weren't prepared for it... in the best way possible. The challenge now is that we only have 50 beta samples available, so we can only welcome 50 of you into this round. We're spending the next few days carefully reviewing every application to choose the final 50. We want to make sure this beta cohort represents the kind of diverse use cases that will help us build a better product. What happens next

... room, specify what you want changed (furniture, flooring, walls, lighting), and receive a photorealistic AI redesign. AI virtual staging for real spaces. We ve shipped both products. They work. And now we re sharing what s coming in the next build cycle, because we think practitioners will find it relevant. What s shipping next

... actually been one of the most requested features, right after assisted recording.   We love where assisted recording is headed, but there's still plenty we want to improve.   In the meantime, prompt-to-video is the next big thing we're focused on, and for good reason.   Here's how it works: you upload a PDF, tell Velo what you want to show, which parts to focus on, and what the topic is, and it generates ... ... There are still some rough edges, which is exactly why we test.    But it's already looking really promising.   Super excited to get this in your hands soon and see what you all think. The next

... 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 ... ... sexy. Not enterprise. But it solved a real problem for our power users. We built it in 4 weeks. Adoption was 89%. What we did instead We killed the enterprise tier. Dropped the price back down. Spent the next

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next

... rebuilt it completely. Now it runs 3x/day, 3 quality matches per agent. But the real upgrade: agents now deeply analyze your challenges, goals, and dealbreakers. Early users reported that similar profiles were matching each other: competitors finding competitors

... 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

... product. Beautiful landing page. Great onboarding. Real customers. Solid retention. One problem: AI never mentioned it. Not in ChatGPT. Not in Perplexity. Not in Gemini. We were invisible. And I didn't know why. So I spent the next 6 months reverse-engineering the answer. Here's what I learned. What I Built The product was solid. Nothing revolutionary, but genuinely useful: Solved a real problem 4.8 stars on reviews 20% MoM growth Customers who found us, loved ... ... 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

... answer about your category includes comparisons. Always. When someone asks "best CRM for agencies," AI doesn't list one tool. It lists 3-5. And it compares them. The data: Content Type Citation Rate Pages with comparison tables +470% vs. average Pages that mention competitors

... Product Hunt community I m Sanket, founder of Next Ignition an AI-powered startup acceleration platform built specifically to prevent startup failures. Most founders fail not because of bad ideas but because of wrong timing, lack of guidance, and zero visibility. Next

... They spend thousands on SEO but never check if ChatGPT, Google SGE, or Perplexity actually mention them. Don't be one of them. This 30-minute audit will show you exactly where you stand and exactly what to do next. PART 1: Why This Matters Now Before we start, understand the stakes: Platform Monthly Active Users AI Answer Prevalence ChatGPT 200M+ 100% of conversations Google 5B+ daily searches 37.8% have AI Overviews Perplexity 15M+ 100% AI-generated Gemini 100M ... ... Minute Audit Step 1: Keyword Selection (5 minutes) Choose 20 keywords to audit: 10 branded keywords: Your company name Your product names Your founder/CEO name Your flagship features 10 non-branded keywords: "[Your category] best tools" "[Your category] alternatives