... problem: i pay for claude code, codex AND cursor. still, every few hours one of them hits its usage limit right in the middle of a task. then it's open another terminal, re-explain everything to the next agent, lose all the context. felt dumb paying for 3 plans and still getting blocked. so i built codemax. one terminal, all your AI coding agents running side by side (claude code, codex, opencode, grok, cursor). when one hits its limit ... ... codemax hands the task + full context to the next

... Hearing became the third paid owner of The Only Billboard on October 2, after RELVE ($1) and Brick500 ($2). The experiment is a single web billboard, not a grid of ads. One buyer owns the live slot until the next takeover. The next

... makers I m building SolviqLab to help people connect a calculation with a clearer everyday decision. A calculator can return a number quickly. The harder question is often: What does this estimate actually answer, and what can I do next? Our FREE Health & Fitness collection includes BMI, calorie, TDEE, BMR, body fat and ideal weight calculators. Each tool starts with a different question; the results are not interchangeable. For example, BMI describes weight relative to height. BMR estimates energy ... ... rest, while TDEE includes an activity estimate. If you re exploring how activity affects daily energy needs, start with that question rather than interpreting BMI as a calorie target. Explore the FREE Health & Fitness calculators The next

... feels one to one Protects your credits: sending, waits, and conditions cost nothing, and it saves costly steps like phone finding for the leads who haven't engaged yet Factors in your deadlines, so a campaign for an event next week is timed for next

... task says done. The next person still needs the decision, the document and the date. I am Carlos Monzon from Power CM Software, and I am building Borative around that gap. I am looking for people willing to try it with one real project and tell me where the context still gets lost. Workspace OS brings daily tasks, subtasks, notes, conversations and planning together. Project Hub adds phases, dependencies, timelines, documents and decisions for the wider delivery plan. They ... ... same Borative account. My suggested first test is small: choose a project, add its next

... pockets of time, commuting, waiting, sitting between things, to keep learning tech. Sometimes it was something completely new. Sometimes it was refreshing a concept I'd forgotten. Sometimes it was learning a technology I thought would matter for the next stage of my career. None of those sessions felt particularly important. Ten minutes here, twenty minutes there. But over almost two decades in tech, they compounded. New knowledge led to new skills. New skills opened new opportunities. And those opportunities ... ... that in small chunks meant I had to build the learning experience myself. Find good material. Work out whether it was current. Figure out what level I should start at. Know what prerequisites I was missing. Decide what came next

... degree with Aristotle, and specifically with the Nicomachean Ethics. His argument, roughly, is that you don't get good at something by knowing about it. You get good at it by doing it, badly, over and over, with someone next to you who can tell you when you're doing it wrong. Excellence isn't a fact you acquire. It's a habit you build. Next

... 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

... 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

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

... 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

... agent execution to agent management. The tools that win may not be the ones building better agents, but the ones helping humans supervise dozens of them effectively. Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise 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

... 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

... schema 71% 19% Cite data sources 68% 27% Part 3: What content wins AI citations? This is the question everyone asks. Here's the data: Top 5 content types by citation rate: Comparison pages (X vs Y) 3.2x average Structured FAQs 2.8x average Data-driven articles (with stats, tables, studies) 2.4x average "How to" guides (step-by-step) 1.9x average Original research 1.7x average What performs poorly: Short opinion pieces Thin content (<500 words ... ... great for blue links. But none of them show you how you appear in AI answers. Here's what we track: Actual AI-generated answers mentioning your brand Citation rates across ChatGPT, Google SGE, Perplexity, Gemini Share of voice vs