... live on PH Aug 22, so this thread's been good practice at saying it in one paragraph.) Comment from Demetrio Koro(@aktivist): siOsi upload one selfie and it reads your 12-season color type, undertone, gold vs silver, and which hair colors suit you, then grades the actual makeup in the photo (flash cast, oxidation, coverage), which most tools skip. Free, no signup. Built it because every beauty sub has a queue of "what season am I" posts waiting ... ... Gemini, since more buying decisions now start there instead of traditional search. If you want to see how an AI agent currently reads your own site, we put out a free tool that shows what an AI fetches vs

... engagement. No feedback. Just slides and silence. Amphioo is a live audience engagement platform. One link. No downloads. No app installs. Just scan a QR and your entire audience is connected instantly. Here's what you can run: - Live Q&A with upvotes and moderation - Real-time polls with animated results on the big screen - Timed quizzes with leaderboards - Surveys for structured feedback - Word clouds that build live - Rapid Fire a fast-paced, game-show-style quiz round ... ... audience actually thinks Why we built this: Existing tools are either overpriced, clunky, or force your audience to download something. We wanted something that just works fast, clean, and free to start. Pricing: - Free plan 2 events, 50 participants, Q

... 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

... Average monthly retainer for AI visibility audits 1,200 2,500 Average monthly retainer for ongoing AI visibility + content 2,500 5,000 First-mover advantage is real. The agencies offering this now are locking in clients before competitors even know the category exists. Service Model #1: The One-Time AI Visibility Audit What it is: A comprehensive audit showing where the client appears (or doesn't) across ChatGPT, Google SGE, Perplexity, and Gemini. Deliverables: 20 50 keywords analyzed Screenshots ... ... actual AI answers Competitor

... 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

... answer first. If they find it immediately, they cite it. The structure makes extraction easy. Step 2: The Comparison Page Template Comparison pages drove 40% of our citation growth. Here's our exact template: Title: [Brand X] vs [Brand Y]: Which is better for [use case]? Quick verdict (100 words) Who wins and why One sentence summary Feature comparison table Feature Brand X Brand Y Feature A Feature B Feature C Price XX YY Detailed breakdown (by feature) How each ... ... call to action Result: This template was cited by ChatGPT 12 times in the first month. Step 3: The FAQ Section That Actually Gets Cited FAQs are everywhere. Most are useless. Here's what works: Instead of this: Q

... page. They are summarized into FAQs and used in Category and Product pages. That means your founder review can surface when someone is researching an adjacent category, not just the exact tool you mentioned. You can see some generated Q&As from shoutouts here , here , and here . We have also invested heavily in LLM visibility . Product researchers are increasingly landing on Product Hunt from ChatGPT, Google, and Claude. Founder reviews are structured, attributed content tied to products, which makes ... ... product. We were looking for a product to help us create the demo for our new launch for @CoreSight and Clueso was exactly what we needed. Comment from mina(@minach): This clicked for me ,especially the tradeoff between big vs

... environment What s been harder than expected than the stack itself is everything around it: auth + permissions are getting complex fast (especially with multi-client setups) data pipelines + syncing are way harder than expected deciding what to precompute vs calculate on demand is still an ongoing trade-off Feels like the product isn t just build features it s designing a system that stays manageable as data + clients grow. Curious how others handled this: did you optimize your data layer ... ... tattoos or mockups) Tech-wise I m using: Flutter for the mobile app Firebase (Firestore + functions) OpenAI + Replicate for image generation (testing multiple models right now like DreamShaper, Flux, Ideogram) Biggest challenge so far has been balancing quality vs

... Qeeebo s static, curated knowledge model compares to Answers.com , Quora, and traditional Q&A platforms and why the difference matters. The internet is overflowing with places to ask questions. From community forums to social platforms to AI-powered chat tools, people have more ways than ever to seek answers. Yet paradoxically, finding clear, reliable, and fast answers has become harder not easier. Most Q

... Makers & Builders using LLMs! Anyone else building cool stuff like PDF Q&A or custom bots with RAG, but finding the context retrieval step... frustrating? Most AI app data stacks these days use vector search (Pinecone, Weaviate, etc.) to grab text chunks for the LLM. But sometimes it feels like it finds stuff that's keyword-similar while totally missing the actual point the user asked for. Leads to those slightly weak or "confidently wrong" LLM answers ...

... seen Product is waitlisted People schedule a draft.... (we have a draft function!) Maker's profile is their product/business and not an actual user account Tagline does not describe the product ie. "Best way to earn users" vs "Capture user data with a single button in your iOS app" Too much marketing jargon, not enough product description / story NO PRODUCT SHOTS/VIDEOS -> just marketing fluff images Only one image that is a low quality screenshot Using a paid service ... ... they get what you're launching? If you can quickly Google a solution that similar to what you're launching then really make sure your launch stands out. Focus on highlighting what's special about your product vs

... understood in the first 5 10 seconds. Right now the value is strong, but the mental model (job CV scoring ranking) could be made more instantly obvious for first-time users. Curious how you re thinking about onboarding clarity vs feature depth. Comment from Glen(@glen11): @steveb   https://www.producthunt.com/post...   @dev_singh  Congrats on the 104 customers on day 1. Since you re already thinking GTM (EGC, newsletters, etc.), one thing I d test is making sure ... ... years ago! the browser is awesome and was probably the first newsletter i intentionally subbed :) Comment from Matt Carroll(@catt_marroll): great feedback from both of you, thanks! i think putting the actual landing page as the landing page (vs