... terminal behavior. If you use multiple agents or providers, switching gets messy fast. Quick Launch lets you create API profiles once, then launch the right agent with the right config injected automatically. Supported CLIs today: - Claude Code - Codex - Gemini CLI - OpenCode Supported provider profiles include Azure OpenAI, DeepSeek, Moonshot/Kimi, MiniMax, OpenRouter, Gemini

... several new tools launching every week, and many do a great job at telling us whaere our sites stand in the AI search tools like chatGPT, Gemini, Grok, Claude, etc. The best of them give us... WORK TO DO Yes, they are good at telling us what to fix, what to build, where to publish, what's missing, right - because we don7t already have enough to do...? I genuinely want to know if I'm wrong, but I know ... ... nothing but MentionFox.com that actually trains the LLMs to actively promote our products over competitors

... community Exciting update we've just shipped v1.5.0 and it's our biggest release yet! Gemini Export Studio has officially evolved into Gemini

... Hunters We just shipped Google Gemma 4 support, paired with our TurboQuant KV-cache compression engine. That means you can now run Google's any-to-any multimodal models directly inside your editor no API keys, no cloud, no data leaving your machine. What's new in this drop: Full Gemma

... kept generating images with Gemini for client work and presentations, but the watermark always got in the way. Every tool I tried required uploading the image to a server which felt wrong when the images contained unreleased project visuals. So I built Gemini

... real user queries from search logs, forum threads, and support tickets across 12 industries. We clustered them by intent and generated 1,000 representative questions. We asked those same 1,000 questions to 5 AI models: ChatGPT (GPT-4), Gemini (Ultra), Perplexity (Pro), Claude (4.5 Sonnet), and Llama (3). We ran the experiment daily for 30 days. We tracked every citation at the source level. The goal: measure citation overlap. How often do these models cite the same source ... ... models Overall citation overlap: 23.7% Across all 5 models, the same source was cited in only 23.7% of answers. That means 76.3% of the time, the models were pulling from different places. Model Pair Overlap (%) ChatGPT Perplexity 41.2% ChatGPT Gemini

... months ago, we ran an experiment with our own data. At Rankfender, we tracked 5 of our own competitors across 8 AI systems. We log their share of voice, citation velocity, content gaps, platform variance. Months of raw numbers sitting in a dashboard. I pulled 6 months of data and fed it into Claude. One question: "Based on this, who is most likely to overtake us in the next 6 months? Show your work. Use the data. Don't summarize ... ... Give me the numbers." The answer changed how I think about competition. The dataset: 5 competitors

... community I'm the maker of Gemini Export Studio a Chrome extension that lets you export Gemini

... months ago, I launched a product. Beautiful landing page. Great onboarding. Real customers. Solid retention. One problem: AI never mentioned it. Not in ChatGPT. Not in Perplexity. Not in Gemini. We were invisible. And I didn't know why. So I spent the next 6 months reverse-engineering the answer. Here's what I learned. What I Built The product was solid. Nothing revolutionary, but genuinely useful: Solved a real problem 4.8 stars on reviews 20% MoM growth Customers ... ... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors

... Product Hunt, I'm Imed, founder of Rankfender. We help brands track and improve how they appear in AI answers across ChatGPT, Perplexity, Gemini, and more. In 120+ languages. We've now tracked over 3,000 brands, analyzed 75,000+ AI answers, and helped founders recover millions in lost revenue from AI errors. Total marketing spend so far: 15k. Here's everything we did with free resources you can use. 1. Narrative: From Agency Pain to Product Solution The story ... ... found errors. Average cost: 28k." 120k impressions, 400+ new signups. Free resource: Post as a human. Share what you're learning in real time. People don't follow companies. They follow people. 5. Multi-Language: The Hidden Channel Most competitors

... tracking their AI visibility, citation rates, and what actually correlated with success. Here's what the top 10% did that everyone else missed. The Dataset Parameter Value Launches analyzed 1,000 Time period 2025 2026 Platforms tracked ChatGPT, Perplexity, Gemini Metrics measured AI citations, share of voice, content structure, launch day performance Sample Top 500 + random 500 from leaderboard Finding #1: The Discovery Gap Is Real Academic research confirms what we found: when users search for products by name, LLMs ... ... 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

... 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 ... ... looking. The Dataset Parameter Value SaaS products analyzed 1,024 Total AI answers collected 75,382 Total citations recorded 316,604 Platforms tracked ChatGPT, Google SGE, Perplexity, Gemini

... Last week, we ran an experiment. We asked 50 SaaS founders to do one 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

... usually have multiple work items open, each with its own repo and context, while I'm in the terminal doing the real work. Mozzie lets you orchestrate work items and run multiple coding agents in parallel (Codex, Claude Code, Gemini CLI, etc) using your existing AI subscriptions. 100% Free and Open Source ...

... next. PART 1: Why This Matters Now Before we start, understand the stakes: Platform Monthly Active Users AI Answer Prevalence ChatGPT 200M+ 100% of conversations Google 5B+ daily searches 37.8% have AI Overviews Perplexity 15M+ 100% AI-generated Gemini 100M+ 100% AI-generated Total addressable "AI answers" daily: Billions. If you're not in those answers, you don't exist. PART 2: The Complete 30-Minute Audit Step 1: Keyword Selection (5 minutes) Choose 20 keywords to audit: 10 branded ... ... keywords: Your company name Your product names Your founder/CEO name Your flagship features 10 non-branded keywords: "[Your category] best tools" "[Your category] alternatives

... professional developer. But I've been using Gemini Pro heavily for coding, and one thing drove me absolutely crazy every time Gemini

... 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

... upvoted, and shared feedback! One question kept coming up: "How do I actually win in AI search?" So I dug into our data. Rankfender has now tracked over 50,000 AI-generated answers across ChatGPT, Google SGE, Perplexity, and Gemini. We've analyzed millions of citations, thousands of brands, and hundreds of industries. Here's what we learned and what it means for your business. Part 1: The state of AI search in 2026 AI answers are everywhere. We analyzed ... ... 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

... paying for 5 AI subscriptions: Claude Pro, Cursor Pro, ChatGPT Plus, Copilot, and Gemini Advanced. $90/month total. I assumed I was using all of them heavily. Turns out I was wrong. When I built TokenBar (a menu bar app that tracks AI usage limits), the first thing I noticed was that my Gemini

... matters. Product Hunt also 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

... knows who it's talking to. Agent State Persist arbitrary key-value state with optional TTL. Perfect for multi-step workflows, wizard progress, or agent continuity across sessions. Multi-Provider, Shared Memory Both SDKs support OpenAI, Anthropic, and Google Gemini out of the box. The provider is auto-detected from the model name. Switch models freely memories are shared across all providers. // Learn with GPT-4o await chat.process({ content: 'I love hiking', model: 'gpt-4o-mini' }); // Recall with Claude await ... ... chat.process({ content: 'What do I love?', model: 'claude-sonnet-4-20250514' }); // Recall with Gemini

... update which is soon going to be live on Chrome Web Store will contains the feature to extract Fan-Out Queries from Gemini as well. https://chromewebstore.google.co... ...

... suggestion Comment from fmerian(@fmerian): @navedux  Devstral 2 (Small) by @Mistral AI is released under Apache 2.0 afaik Comment from fmerian(@fmerian): @navedux  good q! personally i had good frontend results with both Opus 4.5 and Gemini 3. hope it helps Comment from fmerian(@fmerian): @navedux  ICYMI Moonshot just announced Kimi K2.5, "the strongest open-source model to date for coding, with particularly strong capabilities in front-end development." ( source ) currently free on @Kilo Code btw. hope ... ... best Comment from Andrew Zakonov(@andrewzakonov): not that simple in my experience, depends on tech stack and task complexity (I see diff winners on diff datasets) overall, I d go with claude opus 4.5 for complex tasks, but gemini

... notable shift in the AI landscape, Apple and Google have announced a multi-year collaboration under which Apple s next generation of Apple Foundation Models will be based on Google s Gemini models and cloud technology. According to the joint statement , these models will help power upcoming Apple Intelligence features, including a more personalized Siri, expected later this year. Apple emphasized that inference will continue to run on-device and via Private Cloud Compute, maintaining its stated privacy standards. What ... ... 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

... Mnexium AI Now supports all three major AI providers! OpenAI ChatGPT models Anthropic Claude Models Google Gemini Models NEW Why this matters: Your users can now seamlessly switch between providers while keeping their memory and context intact. Learn something with GPT-4 Recall it with Gemini