... 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

... silence an alert while you're out. It's built for speed and convenience. The interface is simplified, showing you just what you need in the moment. The Web Dashboard: The Big Picture Hub When you need more depth, head to the browser. The dashboard is perfect for planning and review. It's much easier to set up complex geofences (like your teen's entire campus) with a precise mouse and a big map view. You can also seamlessly review ...

... GEOScore, we've noticed a lot of discussion lately about how difficult it s becoming to decode why certain pages dominate search results while others, which seem just as good, get buried.   We built the Competitors feature in GEOScore specifically to take the guesswork out of that process, changing how you approach competitor

... observe actual patterns in how AI crawlers behave and how traffic flows. That changes everything. We now work with SEO agencies and brands like lemlist to help them: Track how ChatGPT, Gemini and Perplexity mention them Identify visibility gaps vscompetitors Improve AI-optimized content structure Connect AI mentions to real traffic impact We ve opened a 7-day free trial for anyone who wants to test it. You ll also receive a personalized GEO audit with actionable improvements. Curious ... ... Berguer(@tberguer): @allu__kurashi  Great point that gap between mentions and real traffic is exactly what we re trying to close. On the crawler side, we can identify which AI bots are accessing which pages, frequency patterns, crawl

... Product Hunt My name is Dazy, Head of Growth & Marketing at Globist AI . We're building the ideas-to-creation platform for researchers, creators, and strategists who think in depth but need to ship at speed. Here's what we solve: the gap between research rigor and creative output. You spend weeks researching, synthesizing, brainstorming then start from scratch converting that thinking into visuals, videos, whitepapers, presentations. It's friction. Globist collapses that. One canvas. Deep research, collaborative brainstorming ... ... multi-format asset generation visuals, short films, whitepapers, decks all from the same researched foundation. It's the thinking layer before creation becomes the blocker. We're for researchers, strategists, and creators who refuse to sacrifice depth

... core engineering skill, especially in this age of AI. So we built a Reflection Skills MCP and made it open-source. It is a protocol server that exposes: evidence-backed reflection frameworks guided exercises prompt packs All configurable by depth and engineering context . Instead of asking an LLM to help me reflect, an agent can select a framework, adapt its depth

... feedback on how their thinking is evaluated. What always frustrated me wasn t lack of knowledge it was the lack of feedback . You finish an interview knowing something went wrong, but: Was it the design trade-offs? Depth? Communication? Handling follow-up questions under pressure? So I built AI Interview Copilot to simulate how backend interviews actually feel not just what questions get asked. What it does AI-powered mock interviews for backend engineers (5 12+ years) Covers HLD (system ... ... Spaced repetition so concepts actually stick Why I m posting here This is still evolving, and I m building it for engineers like us . I d love honest feedback on: Would this help your interview prep? What feels overkill vs

... filter nodes by creation date, or press play to watch an animated timeline of your knowledge evolution. Graph search: Instantly find and zoom to any node by searching card names. Connection depth control: Adjust a slider to show 1, 2, or 3+ degrees of separation, revealing indirect relationships between ideas. Node coloring: Automatically color-code nodes by tags. Hover for tooltips showing topics, customize colors in settings. Multi-select & bulk actions: Hold ... ... your knowledge. Graph settings: Fine-tune node spacing, link forces, gravity, and visual options through a dedicated settings panel. Single Card Graph Fullscreen mode: Expand the local graph into a dialog for detailed exploration without leaving your current card. Depth

... framing : Apple says that after careful evaluation, it concluded Google s AI provides the most capable foundation for its future models. That s a rare and fairly explicit acknowledgment in an industry where vendors usually avoid naming competitors as technological leaders. As a Product Hunt Hunter who often ends up hunting Google products , I ll admit I m personally excited by this. Not because of brand loyalty, but because it reinforces what many in the AI community have been observing ... ... while: Google s foundation model depth

... extracted data to see the whole picture and then draw my own conclusions before sending everything to clients. It was time taking, inefficient and mostly done manually. THE IDEA What if I could automate the entire process , create in-depth website audits, and prepare branded reports that I can share with clients and leads in minutes ? This goal inspired the creation and development of Siteshamer. This is NOT another AI surface-level checker, but a DEEP analyzer that actually tells ... ... overview of the website quality, and tells you exactly what you need to work on. It s a free audit for your personal website. Then, if you want white-label reports with 5x times the data and more in-depth

... finding familiar and verified places (pharmacies, doctors, banks) in a new country, causing daily stress and time loss. 8. Regional media outlets lack news: there is no service for automatically finding local events and topics not yet covered by competitors. 9. Startup founders have nowhere to order quality, in-depth

... operates in The real opportunity in AI right now isn t: Better wording More creativity Prettier outputs It s system awareness. Most AI tools don t understand: How decisions are actually made How systems filter inputs What gets ignored vs what gets evaluated They generate content without understanding the machinery that processes it. That s why the market feels crowded, and yet unsatisfying. Hiring is a perfect example of qualitative saturation Modern hiring is not human-first anymore ... ... about beating the system. It s about understanding it. The next wave of AI won t be louder, it ll be smarter The AI market doesn t need more tools. It needs: Fewer assumptions More domain depth

... founders and builders, we spend so much time crafting our products, but communication precision is equally crucial, whether pitching investors, writing copy, or leading teams. I just dropped a blog post with 26 genuinely challenging words that signal depth (not the usual "synergy" and "leverage" stuff): Ameliorate improve something already bad Obviate make unnecessary entirely Nascent early with visible potential Pernicious subtly harmful over time Confluence converging forces Each word includes strategic context for when ... ... Would love your thoughts on the word selection! Which ones are you adding to your arsenal? Comment from Nichole Elizabeth DeMer (Eithiriel)(@nikkielizdemere): As a word nerd, I love that you're thinking about nuance, it really does add depth

... deliver better ROI than paid search, which has become increasingly expensive and competitive. Trial Intelligence : We provide behavioral analytics you can't get from your own trial - comparative shopping patterns, feature prioritization across your category, and benchmarking against competitors. Think of us as a qualified pipeline channel, not a marketing expense. Q: How do you solve the cold start problem? Most marketplaces fail because they can't get critical mass on both sides. A: Our go-to-market strategy addresses ... ... trial optimization platform. Q: What data or insights does VeriTry provide that software companies can't get on their own? A: Our proprietary Trial Intelligence Engine provides: Cross-platform behavioral data : How users engage with your trial compared to competitors

... room left for simple "Wrapper" services. 2) Vertical Startups (The Deep Specialists): Narrow and Deep Areas too complex, highly regulated, and requiring deep domain expertise for Big Tech to touch. This is where the opportunity lies Regulated Industries. The "Depth" that Big Tech cannot replicate becomes our Moat. 2. Why Vertical Now? The real pain points are hidden in the field. Industries like manufacturing, law, IP, and healthcare have complex workflows and regulations that generic AI simply cannot penetrate. "Review ... ... process, allowing patent attorneys to cut drafting time by 75%. 3) Data Moat & Customization Every firm has a preferred "drafting style." Patenty.ai learns this to generate results that feel "native to the firm." This creates a moat that competitors

... Rankings Real-time updates on app downloads and revenue Real-time ranking and position changes across all app categories In-depth analysis of top market apps with similar app recommendations Advanced Search Multi-tag and multi-dimensional filtering to identify benchmark competitors

... details yet). The idea is to create something that feels alive and adapts to each user s vibe. But here s my dilemma I m torn between focusing first on core UX feel (smooth, immersive flow) or AI logic depth (smarter matching + personalization). For those who ve shipped vibe-heavy or AI-integrated products what worked better for you early on? Curious to hear how you approached this tradeoff: polish vs

... discussion and get some honest feedback from other founders and hiring managers here. Like many of you, I've been on both sides of the hiring table. As a dev, I found it's nearly impossible to show your depth or how you actually think on a resume designed in the 1950s. As a founder, I'm now feeling the other side of that pain: sifting through stacks of those same resumes, trying to guess who has real talent ... ... where I need your help. I'm a solo dev funding this myself ($100/mo), and my only growth strategy is to find startups who believe there's a better way to hire and are willing to try an alternative

... other day on LinkedIn, I came across a competitor in my space. The founder proudly wrote in their bio: "Built the tool from idea to launch in just 2 weeks." My first thought: wow that is really fast. My second thought: wait, how?? So naturally, I signed up to try it. And to be fair nice landing page, great copy, but the product itself was completely broken. Bad UX, broken features, basically not usable at all beyond demo purposes ... ... aneesh_m_bhat): Quality > speed, your approach will win long term. Comment from Sheraz Abdul Hayee(@sheraz_abdul_hayee): I can relate to this while building Zanderio i faced similar situation. However when i tried the demo of competitor

... sometimes get stuck in a simple log of "what I did." But if you can step back and reflect on "why I did it, what the results were, and what I learned," the content gains a lot more depth. For instance, a blogger shares "I gained 10,000 followers in a week." If they just say "I posted 10 videos and worked hard on the editing," the audience won't learn much. But if they switch to a review perspective ... ... also helps them find their own "entry point" into the content. In Conclusion: Good content doesn't have to be complicated, but it definitely can't be one-dimensional. Shifting your perspective helps you see more, speak with more depth

... coding IDEs (Trae, Cursor) to push into full-stack territory Vibe coding is great for speed and validation, but it has so many limits. At some point, you hit that wall where you need real engineering depth, or risk staying in prototype land forever. If you barely have any development experience, it's hard for you to really scale your product to the market, or have 'serious' users (maybe enterprise users) commit to your product. I know for some founders ... ... tools are perfect for validation, but they rarely survive the transition to production. From what I ve seen, the smartest path is usually: Identify which workflows need to be rebuilt for scale (auth, DB reliability, integrations). Bring in technical depth

... reasoning model for multi-step logic and complex problem solving. Same pricing as GPT-5. GPT-Thinking Pro Available to Pro and Team subscribers. Extends context windows up to 128 K tokens for marathon codebases, legal analyses, or in-depth research. Same base rate plus surcharges for extra context . GPT-5 mini A budget-friendly workhorse delivering roughly 80 percent of flagship performance at lower cost and latency. Priced at $0.25 per 1 M input tokens ... ... like button. Benchmarks, benchmarks, benchmarks Benchmarks should always be taken with a grain of salt . They are effectively a snapshot of a models capabilities under near perfect conditions. Sort of like the Big Mac you see on the ads vs

... hope it will encourage more makers to ship their ideas. You can view my IsThereAnyDeal (ITAD) Extension on GitHub here! I will launch it when it's approved on the Raycast store :) I'll publish a more in-depth, nerdy guide later. But for now...here's my experience building a Raycast Extension! Tech Stack: @Dia Browser : To digest and explore the Raycast & ITAD Documentation quickly while also feeding all the info into Cursor. @Cursor & @Warp : I leaned ... ... agent quality). We're also working on a better dashboard in settings to be more transparent about exactly how many tokens in/out/cached, etc. Feedback is heard and we're working on it, coming soon! 2. Re: fully automating agent vs

... Last month we kicked things off with a high-level recap of our Product of the Month launch - and you had so many questions that we went back to document every tactic in full. Today, here s the in-depth playbook : the exact strategies, experiments, and community-powered tests that took Chronicle to #1 on Product Hunt and over 1,000 upvotes within 24 hours. 1. The Spark: one tweet On June 6, Andrej Karpathy casually spoke about Cursor ... ... replies, retweets and DMs to harvest the language your audience actually uses. 2. Rapid-fire experiments We never waited for launch day. Instead, we treated our entire buildup as a real-time lab: Email CTA swaps ( Try Chronicle Pro vs

... results are mostly pretty good. A few things I ve come to love: Even though it s a CLI tool, it s pretty integrated into my IDE. When installing the CLI, it automatically installs the Jetbrains or VS Code extension, so you do get to see and manage the changes side by side in your IDE. The MCP functionality is pretty basic but it just works. With a good system prompt built over time, it knows when to run puppeteer ... ... limits. They have the idea of a session (a five hour window) where you can send something like 250 messages. It s really all about how you use the tool. I ve set up a pretty in-depth