... everyone I'm Yucheol, a solo maker based in Seoul. For the past 21 months I've been running @wondervisionary an Instagram account of dreamlike, AI-crafted nature landscapes. It grew from 0 to 430K followers with zero ad spend, and reaches around 18M people a month. Now I'm turning that into a product: Wonderday, a calm iOS app where you read one good sentence over a beautiful landscape

... HTML to MP4 conversion Silent gap removal to cut dead air automatically Speed control Watermark tools for branding Compression and format conversion PDF conversion tools NEW: image resize for App Store listings Presets: vertical 9:16, square 1:1, landscape 16:9 Real-time export preview Who it's for Podcasters: episode + cover art into a YouTube-ready MP4 Musicians: share a track with artwork on Instagram, TikTok or YouTube Creators: quick vertical videos for Reels and Shorts Teachers: slides ... ... lesson videos Marketers: branded, watermarked promo clips App developers: resize screenshots for store listings How to make an MP4 from a photo and audio in 3 steps Add your photos, clips and an audio file Choose vertical, square or landscape

... products  shipped on Product Hunt. We ran the whole stream through LinkedIn and Crunchbase to see what people launch, who the founders are, where they came from and what actually improves your odds. Part 1. The landscape: the AI wave and the dilution of attention Launches grew 434 (Jan)   900 (Apr peak)   521 (Jun), but average reception  fell  from 190 to 144 upvotes attention spreads thin.  49% of launches ... ... India 160  (India nearly matches US reception). Schools: UC, Stanford, Oxford, Cornell, Tel Aviv. Part 3. What actually works at launch Teams win:  solo 123 2 3 = 188 4+ = 288; blended multi-maker avg ~227 vs

... places I'd never have chosen to visit on my own, and slowly the habit of carrying a second camera for myself turned into the thing I actually looked forward to. I gravitated toward street photography and landscapes the unposed moment on one hand, the wide, quiet shot that makes you stop scrolling on the other. Two very different disciplines, but the same instinct behind both: wait for the frame to be true, then take it. I moved to Ireland ... ... still in the TV industry, still shooting street and landscape

... conversion landscape in 2026 looks very different from what it did three years ago. Here is what the data says. The conversion hierarchy (2026) Review sites (G2, Capterra): 12-18% SQL-to-close rate. Buyers arrive already comparing vendors. Referrals / word-of-mouth: 10-15%. Pre-vetted by trust before first contact. Product-Led Growth: 9% median free-to-paid conversion. 25%+ with PQL. Webinars (live): 22-33% CTA conversion. High-engagement webinars hit up to 69%. AI search (GEO/AEO ... ... higher conversion than traditional organic. One B2B study found AI-referred traffic converted at 7.12% vs

... lands in the top three on capability index while running roughly 10-60x cheaper than the leaders, so if you're optimizing purely for $/task rather than fewest tokens per task, the ranking flips entirely. The free tier landscape just shifted under everyone. Antigravity relaunched in May as a multi-agent suite with a new CLI and Gemini 3.5 Flash as the default model, running roughly 4x faster than Opus 4.8 or GPT-5.5, worth knowing ...

... problem I wanted to tackle. What is FounderMind AI? FounderMind AI is an AI-powered startup validation platform that helps founders evaluate ideas before they commit to building. It helps entrepreneurs think through: Customer pain points Market opportunities Competitorlandscape Business models Potential risks Go-to-market strategy The goal isn't to replace founders. The goal is to help them make better decisions before writing the first line of code. What I'm building next The roadmap currently includes ...

... Build Signals researches markets the way an analyst would. It looks for real signals like: Regulatory changes creating new markets Companies actively hiring for a specific problem New APIs or platform changes Growing demand from developers and businesses Weak competitors and underserved niches Then it produces a complete opportunity report including: Opportunity score Market analysis Competitive landscape

... send a one-pager, it's faster." A dense page of text and I read none of it. A deck gives an investor a clean, focused way to follow your story, one idea at a time. "Don't mention competitors, it makes you look weak." A blank competition slide reads as naive, not dominant. Showing you understand the landscape

... incredibly excited to share EchoLogic with you today. Most quote apps feel exactly the same: calming landscapes, soft gradients, and slow transitions. I wanted to build something entirely different something loud, incredibly fast, and designed for internet culture. "Brain off. Logic on." EchoLogic is a high-speed, minimalist quote discovery engine with a striking Neo-Brutalist aesthetic. It s built to be as satisfying and fast as doomscrolling, but with content that makes you actually think (or laugh). Here ... ... instantly toggle to OLED Mode, Editorial Glassmorphism, or our "Hacker Mode" CLI terminal theme. Curated for the Now: No generic inspirational fluff. We curated over 200+ quotes sorted into 15+ categories like Shower Thoughts, NPC vs

... Picture this. You write a brilliant article. It ranks number one on Google. You check your traffic and it is falling anyway. No penalty. No ranking drop. Just fewer clicks. Welcome to marketing in 2026. The Search Landscape Just Flipped For twenty years, the deal was simple. Write good content, rank high, get clicks. Traffic meant visibility and visibility meant growth. That deal has quietly been cancelled. AI Overviews, AI Mode, ChatGPT Search, Perplexity, Claude. These are not just ... ... Google still largely shows traditional results. AI search is mostly eating informational traffic, not purchase-intent traffic. Second, the traffic that AI does send is higher quality. ChatGPT-referred visitors spend an average of 15 minutes on a website versus

... Influence of New York s Corporate Ecosystem New York is one of the most dynamic business capitals in the world. The city hosts multinational corporations, emerging startups, financial institutions, healthcare networks, and technology innovators within a densely interconnected economic landscape. This diversity creates an ecosystem where innovation flourishes. Businesses continuously seek advanced digital solutions capable of managing complex operational demands. As a result, enterprise mobile app development NYC has evolved into a highly specialized and rapidly expanding sector. The city ... ... collaborate with professionals who possess both technical proficiency and strategic insight. Enterprise application development requires far more than coding expertise. Developers must understand cloud architecture, enterprise security protocols, system integration, and large-scale infrastructure management. NYC s technology landscape

... feat to accomplish if you know Upwork). I m not just some guy that wrote a deliverability checklist once upon a time and considers himself an expert . I don't consider myself an expert. No one is. Because the landscape is constantly changing. I'm just a guy on the bleeding edge who's been in the trenches, having conversations with hundreds of businesses about the real challenges they face. And I can tell you, what I m seeing ... ... observed in the last 4 years: 70% of consumers use Gmail (Outlook/Hotmail/Live & Yahoo account for the rest) 95% of small businesses use Google Workspace (5% use Office 365) Most businesses are unaware they have deliverability problems. The landscape

... sensors and supports cloud platform access for remote management, data analysis, and anomaly alarms. Applications include algae monitoring, eutrophication assessment, algal bloom early warning, and ecological research in rivers, lakes, reservoirs, drinking water sources, aquaculture ponds, nearshore sea areas, landscape water bodies, and sewage treatment plants. Vaisala utilizes optical fluorescence technology, offering high precision, strong stability, and low device drift. Applications include high-end water quality monitoring, scientific research observation, high-precision monitoring of drinking water sources, and ecological observation ... ... supply and drainage, water environment management, and water quality monitoring. Tailored to local water characteristics, the equipment is highly practical and comes with comprehensive localized on-site installation, commissioning, and maintenance services. For urban water supply, regional river management, landscape

... Staquest. It's a personalized intelligence dashboard for people who work in Data, Marketing, Design, or Dev, basically a daily briefing of what matters in your world. What it does right now: AI/SaaS tool database with pricing breakdowns and competitor comparisons, workflow templates with real cost breakdowns (not just "use Notion + Figma"), an AI assistant that actually knows the tool landscape

... Excel generation. There are almost none that generate long-form reports. That gap isn't an oversight, and it isn't accidental. It's because the problem is genuinely, structurally harder. Here's why. The slide problem vs. the report problem AI-generated presentations work because the format is constrained. A slide has a title, a few bullet points, maybe a chart. You know roughly how much content goes on each slide before you start. The structure is fixed ... ... length per unit is bounded, and the output is predictable. Long-form reports don't work that way. A section on "competitive landscape

... text. Even the general structure doesn't tell you much, at least for articles where humans were pushed into the same handful of SEO-friendly templates before generative AI became widespread. Comment from Fabrizio Pfannl(@fabriziowexare): Honest answer: AI-vs-human detection is mostly broken now. What still works is detecting whether a piece of writing was edited by someone with an opinion versus

... honest version of why I built it. Most startup validation tools were designed in Silicon Valley, for Silicon Valley. They assume you have access to clean market data, that your benchmarks come from the US, and that your competitive landscape looks like TechCrunch. That works great if you're building in San Francisco. It doesn't work if you're building in Santiago, Bogot , or Mexico City where market data is fragmented, currency fluctuates, regulation changes faster, and the cost ... ... sequence: Scout (real market signals) Forge (3 versions of your idea at different investment levels) Validate (cross-referenced against 199 documented startup failures) Map (financial projections with Monte Carlo simulation) Localized for 20+ Latin American markets local currency, local competitors

... mean sooner or later the adoption of AI will make a lot of positions obsolete. I have been telling the younger generation coming into the helpdesk position is start getting into AI, because in my personal opinion the landscape of helpdesk (specifically in technology, like troubleshooting OS issues, connection issues, software issues, etc...) will be change to a 1 person position. I believe that OS's will be completely AI and self healing. Even more concerning is the future ... ... final divide of have and have nots, completely removing the middle class. This is most concerning for me. Comment from Nika(@busmark_w_nika): @christina_m_nguyen  What are you working on now? And what is your background 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

... Product Hunt I've been building ORBITAISPACE for the past few months and launching this Wednesday. Here's the problem I kept running into: Every time I had a startup idea, I'd spend days researching market size, competitors, feasibility, investment needed. By the time I finished, I'd either talked myself out of it or lost momentum. So I built ORBITAISPACE. You type /idea [your concept] and in seconds you get: Market size and TAM Feasibility score across ... ... dimensions Competitor

... citations per answer 4.2 sources Queries where users don't click anything 68% Year-over-year growth in AI answer prevalence +142% Bottom line: If you're only tracking traditional SEO, you're missing nearly 40% of the search landscape and that number is growing fast. Part 2: Who's winning AI citations? We tracked 2,500 brands across SaaS, e-commerce, B2B services, and publishing. The good news: Being cited in AI answers correlates strongly with: 34% higher branded ... ... 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

... plays a significant role in how products appear in Google search results. What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations. AI assistants such as ChatGPT and Gemini rely on reviews, alternative lists, and structured product information gathered across the web. Product Hunt is strong across all three. In theory, this should make Product Hunt a natural source for AI-driven product recommendations and comparisons. In practice, it was not happening ... ... many tools which systematically run prompts against several AI models daily, and measure visibility of a product within prompts. We're using a new tool called @Gauge . We chose because a) their citation tracking is more useful than the alternatives

... know if AI recommends their business? So we built Discovery the way we wished those tools worked. Simple. Visual. Built for you. Discovery tells you exactly how AI sees your business today. Ask ChatGPT about your industry, your competitors, your city. Does it mention you? Does it recommend you? Now you'll know. Start with your market Are you local, regional, national, or global? A coffee shop in Austin and a SaaS company selling worldwide need very different prompts. Local ... ... actually search for a business like yours. Five prompt categories: Direct Brand, Category Search, Comparison, Problem/Solution, and Local Discovery. Color-coded so you can scan them in seconds. See how you stack up The discovery engine goes deeper. Competitor

... from analyzing $500M+ in real-world AI deployments. What we built: AI ROI Calculator with Fortune 100 benchmarks (2.56x to 17x ROI) AI Strategy Guide & Execution Plan AI Governance Checklist for regulated industries AI Readiness Assessment Build vs Buy Framework 15+ more tools for planning, cost optimization & governance Why we built it: After working with enterprise AI deployments across financial services, healthcare, and other sectors, I kept seeing the same challenges: executives struggling to justify AI budgets ... ... commercial Based on actual deployment data, not marketing fluff Questions for the community: What AI decision challenges are you facing in your org? What frameworks or tools have you found helpful? What's missing from the current AI tooling landscape