... does the annoying work: searching live sources, cross-checking companies, researching why they fit, finding decision-makers, verifying emails and drafting the outreach. But you can still see the reasoning, change the targeting, edit the copy and approve what represents you. The goal is not to replace the founder or salesperson, but to help them not spend half the week jumping between Google, LinkedIn, Apollo, Hunter, spreadsheets and Gmail just to send ten decent emails. Our current product rule ...

... among all responses mentioning brands, how many include a link pointing to your official website or domain. This reflects not 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

... thing: check if AI answers about their brand were accurate. Not visibility. Not rankings. Just: "Is what ChatGPT, Perplexity, and Gemini say about you actually true ?" The results scared me. The Dataset Metric Value Founders surveyed 50 Companies represented 50 Stages Pre-revenue to 20M ARR Industries SaaS (B2B, B2C, enterprise, SMB) Platforms checked ChatGPT, Perplexity, Gemini, Claude The Results Finding Value Founders who found at least one error 43 out of 50 (86%) Total errors discovered 147 Average errors ... ... each error. Error Type Average Estimated Cost Pricing error (showing higher than actual) 47,000 Pricing error (showing lower than actual) 23,000 Missing critical feature 38,000 Wrong market positioning 52,000 Outdated company narrative 31,000 Competitor

... checkers, Sonar and Snyk. Agents are monitored and ranked via a proprietary algorithm incorporating all aspects of their code quality and performance, and their rank determines the value of bounties that will be routed their way. To me, this represents a shift in the agent economy from paying for inference to paying for outcomes , and the tiering algorithm represents

... been studying how AI answer engines (ChatGPT, Google AI Overviews, Copilot, Perplexity, Claude, etc.) surface and summarize brands. Something interesting is happening: Traffic from traditional search is declining AI summaries are replacing blue links Brands are being represented before users even click But here s the real question: Do companies know how they re being cited, summarized, or interpreted by AI systems? SEO tools measure rankings. Analytics tools measure clicks. But AI answer engines introduce a new layer ...

... 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

... your whole team burns two days chasing it. I've watched this happen over and over at studios of every size. The fix isn't "listen harder," it's having someone who actually knows if a complaint represents five people or five hundred before the team scrambles. Someone posts in your Discord server: "The animation system is completely broken." A developer sees it while grabbing coffee. They share it in your team Slack. Now two engineers are looking into ... ... meetings. Sometimes the complaint was completely valid and we were glad we caught it early. But other times it was one developer's edge case that got amplified because it was articulate and nobody could quickly tell if it represented

... felt broken. Here's the thing, I bought my first home without hiring an agent. Did my own research, negotiated my own terms, handled the paperwork. It wasn't easy, but it proved to me that regular people CAN represent themselves if they have the right tools and information. So I kept thinking: what if there's someone in Arizona who wants to move to Indiana? Why can't we just connect directly and swap? Both save money, both move ... ... SwapStates.com : a platform where homeowners list their property AND where they want to move. The goal is to match people going in opposite directions, think about dating apps ;) The Bigger Idea I believe in the power of people to represent

... Performance can degrade as pages grow larger and more complex. And critically, the usefulness of a page often depends on the behavior of a community rather than on intentional editorial structure. Qeeebo takes a different path. A Static, Structured Alternative Qeeebo is built as a structured library of questions and answers rather than a collection of ongoing discussions. Each page is designed to deliver a clear answer quickly, without requiring users to scroll through debates, comments, or tangential replies. Instead ... ... changing threads, Qeeebo uses static pages generated ahead of time. These pages are organized around individual questions, grouped by topic, and delivered through a global content delivery network. This architectural choice influences nearly every aspect of the platform. Qeeebo vs

... rates are fair: 3-8% APY. Much lower than banks. The interest goes to your community, not to distant corporations. Money circulates locally. Trust compounds. Communities get stronger. HOW IT WORKS Trust Graph: A network of relationships where edges represent trust and weights represent

... making it simpler for students to understand who the teacher is, what they offer, and how to reach them. For many educators, especially independent teachers and consultants, this solves a major pain point: having a single, reliable place that represents their brand. One of Awla s standout features is the ability for teachers to create and highlight trial lessons. Trial lessons are a powerful funnel for acquiring new students, yet most teachers lack a structured space to promote them. With ... ... feel confident when deciding to book a trial or full lesson. Awla is intentionally minimal, clean, and teacher-friendly. No complicated setup, no technical knowledge required, no overwhelming features. Just a polished, modern, highly shareable public profile designed to represent

... engine, understanding your brand's presence in AI responses is becoming as critical as SEO was for Google. We monitor what AI models say about your brand, how often you're mentioned, in what context, and compared to your competitors. Think of it as brand monitoring for the AI era. Why I Built This The way people discover brands is fundamentally shifting. Millions of users now ask AI assistants for recommendations instead of searching Google. But here's the problem ... ... most brands have zero visibility into how AI models represent

... everyone I m Ajay, founder of Euverify a compliance automation platform helping global companies stay compliant with EU & UK product safety and data protection laws . We re getting ready to launch a new GDPR Representative (Article 27) module tomorrow on Product Hunt It s built for businesses outside the EU or UK that handle EU/UK user data and need a legal representative

... source. My mission is to offer indie hackers, bootstrapped startup founders with working white label AI products which they can easily fork, vibe code to make their own, and rapidly ship. I have open sourced four products so far, representing 177K+ lines of code, 100% vibe coded themselves. These are products my customers can easily install from GitHub or PyPi, evaluate themselves how they work, read entire code base, docs, prompts, release histories, before they decide to purchase a commercial ... ... license at a reasonable one time fee. They can then read our growing blog with 40+ long form articles documenting Navam's vibe coding journey to follow along and become super productive themselves. Each white label product represents

... metadata (incl. Tana-specific structures). The markdown export will download a zip-file, when you open it you can browse the markdown files in a file manager or import it into a tool that supports markdown. References will be represented with markdown links, so it s possible to navigate between files. Images/video files will not be included in the export, but will be represented

... gaining your emotional attachment. Once trust is established, they casually mention "incredible crypto investment opportunities," claiming massive returns they've personally earned. Victims deposit crypto into fraudulent platforms recommended by the scammer, or send crypto directly to scammers wallets. Alternatively, scammers claim a sudden emergency (medical bills, stranded abroad, etc.) asking urgently for crypto transfers. After you send funds, scammers vanish forever. How to Protect Yourself: Be wary of anyone you've never met in person asking you to invest ... ... benefiting real victims. "Clone" Charity Websites Scammers duplicate websites of popular charities (e.g., Red Cross, UNICEF), changing URLs slightly. Victims unknowingly donate money or crypto to fraudsters, believing they re helping legitimate causes. Fraudulent Email Campaign Emails claiming to represent

... Here is what ChatGPT replied- AI has the potential to impact a wide range of jobs across various industries. Here are some examples: 1. Customer service representatives: AI-powered chatbots and virtual assistants can handle many routine customer inquiries, reducing the need for human customer service representatives