... model living in the same model picker, which ran all six answer files itself. Humans did exactly one job in this pipeline: invigilation. Final score:  90 to 70. The winner also used 15% fewer output tokens (11,702 vs 13,799).  If you don't trust an AI's grading all six raw answer files are attached below, unedited, and the code runs on click. Grade them yourself. See you in the comments. EXAM NOTICE Grok 4.6 moved ... ... Fable-5 from next door to grade. This exam doesn't measure who computes faster. It measures: handed a piece of deep mathematics, can you make the beauty visible and explain it like a person? The Registrar (a capybara) Q

... creating developer tools that solve real-world problems. My background is in computer engineering, cloud infrastructure, APIs, AI, and backend systems, and I enjoy turning complex ideas into products that are simple to use. I'm the creator of Q-Lab , a platform that helps quantum developers and researchers automatically track, organize, and analyze their experiments with minimal setup. My goal is to make quantum software development as productive and collaborative as modern software engineering. I'm always excited ... ... connect with fellow builders, researchers, and developers, exchange ideas, and learn from the community. Thanks for checking out Q

... first token for 10 30s. The generic "Thinking " couldn't tell a stalled request from a warming-up model. Now, when a custom endpoint goes quiet for 5s, you get an honest heads-up in the composer, thread Q&A, mailbox chat, and recap. Cloud providers never arm the timer. Removing the custom endpoint now clears the model too previously custom_model lingered and silently resurfaced on the next setup. Begone. The composer window finally knows what provider ... ... local models entirely. also genuinely nice to see an outside contributor's PR land cleanly into a 12-locale, 97-test codebase without it turning into a mess - says something good about how approachable the project actually is versus

... main prompt and embeds the full thing for search. Fast and nothing gets lost. One click and it audits your whole knowledge base This is the one I'm most excited about. Reads every prompt, rule, doc, and Q&A you've got, groups it by topic, and flags contradictions with a severity score so you know what's actually broken. Shoutout to Mustafa Arian ( @thenameisarian ), his idea of a "unified ground truth" is what got us building ... ... spot and gives them the option to overwrite/update the existing rule instead of stacking a new one. Unified Ground-Truth Auditing: In the dashboard, admins have an "AI Ground Truth Audit" tool. It reads all rules, pre-programmed Q

... what actually sets you apart? As for what I m building: I m creating VertoX , the world s first real-time speech translation system that preserves the speaker's original voice, tone, and emotions. We have no direct competitors in what we are doing. Our ICP is literally the entire world. It doesn't matter if you're an enterprise company, a student, a traveler, or a government agency; VertoX is here to completely eliminate the language barrier globally. Comment ... ... them to use the product first hand and I can have better feedback. And easy for me to have beta testers too. Would love to get some input here! Comment from Nolan Vu(@nolan_vu): @thenameisarian  Interesting, alternative

... audits, but keeping humans responsible for architecture, judgment, and deciding what must not break. Comment from Andreas Rubin-Schwarz(@andreas_rubin_schwarz): @mohammad_elzahaby  Combined with a thorough recon step and a bit of agent-to-agent Q&A this appears to be the golden bullet that makes the difference Comment from Andreas Rubin-Schwarz(@andreas_rubin_schwarz): @mohammad_elzahaby  Fair point and yes, I believe continuous refactoring tilts the equation here. Same can be said about ... ... error resolution. As long as instrumentation is in place to catch issues quickly one could say the trade-off of moving fast vs

... chapter detection (AI analyzes your video and finds topic boundaries). Now you can export them directly in YouTube's `MM:SS Title` format: ``` 0:00 Introduction 1:23 Why Privacy Matters 3:45 How to Self-Host 7:12 Q&A ``` One click copies to clipboard. Also generates a full YouTube description with your suggested title, description, chapter timestamps, and tags. Why this matters Every feature runs locally. Descript sends your video to AWS. CapCut sends it to ByteDance ... ... once again. Comment from Rivra(@rivra_dev): Running locally is a huge plus for video editing because privacy and speed are key. How do you handle the processing power requirements for running those models locally on a standard laptop versus

... menu press space on any row of Repos / PRs / Issues to open a centered modal: Actions for octoscope o Open in GitHub d View details c Copy URL enter confirms, single letters are direct shortcuts (lazygit-style), esc closes, q quits at any depth. Repo drill-in (d from the menu) replaces the Repos tab body with a rich detail view: Header with visibility / license / language chips Description, quick stats, latest release Languages bar Recent commits with N total ... ... Feedback welcome especially on the drill-in content . Open an issue if there's a section you'd want to see in the next iteration. Comment from Stan Kolotinskiy(@sk_uxpin): Great job, man! I recently moved back from 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

... odds turn in their favour. What Job Notebook does: Import & Track Chrome sidebar extension to import job descriptions directly. Kanban view to manage every application by stage (Applied Screened Interviewing Offer). Skill Intelligence Automatic analysis of your profile vs. the job description. See exactly where you match and where you have gaps and turn gaps into a learning task list. Cover Letters AI-assisted, personalised per role. Uses your profile data and the specific JD to draft something that ... ... sounds like you. Read it before you send. Q

... I just rolled out a major update to my Bible companion site. The UI now feels more contemplative cleaner layouts ...

... 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 when answering a topic-related question. Sentiment: Captures the emotional tone of AI mentions positive, neutral, or negative showing how AI portrays your brand. Together, these four metrics answer the two most fundamental GEO questions: How frequently does AI mention ... ... brand? and In what tone and context is the brand represented? 1.2 Trends and Competitor

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... Founder: B2B SaaS, 8M ARR "We spent 40k translating our site into German and French. Beautiful work. Native speakers. Perfect messaging. Six months later, we checked German AI answers about our category. We weren't there. Not once. Our 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

... marketing problem. They think: "Let the SEO team handle it." Here's why that's wrong: Your product is being evaluated by AI every single day. When potential users ask: "What's the best tool for [your category]?" "Alternatives to [competitor

... 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

... conversations . Finding #4: Page Structure Drove Citations Product Hunt's own AEO case study showed clear patterns. Change Impact Adding FAQ section 10x ChatGPT citation rate Google AI Overview citations Doubled after FAQ addition Category page impressions +200% after Q&A content Terminology matters. Product Hunt changed a page title from "The best AI dictation apps" to "The best AI dictation and speech-to-text software." Result: citations tripled overnight. Why: LLM search queries differ from human Google queries ... ... language people actually ask , not just what they type . Finding #5: One URL Can Carry You For Superwhisper, one single Product Hunt URL drove 1.6% of their ChatGPT visibility and 5.5% of Google AI Overview visibility. Compare that to competitors

... Rankfender , we've identified clear patterns. Certain content types get cited 3x more often than others. Here are the 7 content types that win AI citations with real examples you can steal. First, the data: Content Type Citation Rate (vs. average) Best For Comparison pages 3.2x higher "X vs

... many found they were invisible. But here's what scared me more: Of those who WERE visible, 43% had incorrect information in AI answers. Not "suboptimal." Not "could be better." Wrong. Outdated pricing. Missing features. Wrong founder bios. Competitors credited for your work. And the average error sticks around for 4 6 months . Today, I'm sharing the full dataset: 1,000+ SaaS products, 75,000+ AI answers, and the hard truth about what's being said about you when ... ... analyzed 50 brands that discovered errors and tracked the impact. Error Type Average Revenue Impact Pricing error (higher than actual) 47,000 Pricing error (lower than actual) 23,000 (leakage) Missing critical feature 38,000 Wrong positioning (enterprise vs

... 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

... ship ugly software. The entire app runs on a Material Design 3 Pok ball aesthetic, complete with an animated Neural Brain visualization on empty screens. It's fun and fast. What's Coming Next RAG (Retrieval-Augmented Generation) for document Q&A - Improved Agent logic and reliability - Custom model import support I'm building fully in public. If you want to test the APK or have questions about the C++ NDK/JNI implementation, drop a comment happy to go deep ... ... 31MB size is a huge advantage . Most people assume local LLM = heavy and slow. You re breaking that assumption. The phone automation agent is probably your most underrated feature. If it becomes reliable, that s a real differentiator vs

... 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 ... ... your product. Finally, strong shoutouts are a positive signal when we evaluate launches for featuring. Product Hunt is a maker community. Thoughtful participation matters. Comment from mina(@minach): This clicked for me ,especially the tradeoff between big vs

... LinkedIn posts in your voice. It's web-based, and I used Next.js, I used Better-Auth for authentication, and I added 3 strategies: email/password, Google OAuth and LinkedIn OAuth. I used PostgreSQL as the database and Polar (Stripe alternative) for billing. Other tools I used include: Resend for email, Tailwind CSS for styling, and Antigravity IDE. I hope this helps. Let me know if you need more help. Comment from Handuo(@handuo): We're building Copus a curation platform ... ... here , or let me know if you have other times that would work better for you. Comment from Ryan Hendrickson(@ryan_hendrickson): @maria_vannicola  Nice! Was there something that brought you to use Firebase over other alternatives

... 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