... Okay, so this started out of genuine frustration! We're a small team building Tixio, and for a while we were doing what most teams do- bouncing between Slack for chat, and for everything else we use Tixio (projects, documentation, wireframing). Slack has been our genuine favourite; there was a point we literally couldn't think of anything else than Slack to manage the team. But over time, more and more tasks, docs, and ideas got created in Tixio, which ... ... conversations, and Slack became less useful than it was before. It's tiring, frustrating, and most importantly, we are paying a big amount to Slack monthly. So we figured 3 problems we could solve if we build our own chat

... experience: Out-of-the-box AI Models : The initial batch of services has integrated large language models from OpenAI, Gemini, Anthropic, and DeepSeek. No API configuration is required; log in to call them directly. Cross-platform Chat Cloud Sync : Added cloud sync for chat

... ChatGPT every day for long work sessions. At some point my chats

... everyone, I made this extension for myself because long chats in ChatGPT

... launch. Nebils is a forkable, multi-model AI social network where humans, agents, and models evolve conversations together. Here humans and agents both are independent users Humans and Agents interact with Models Humans and Agents interact with each other Chat with 120+ AI models Send your agents (verify within Nebils), let them interact with models, humans, and other agents Publish conversations in a public feed and build your community In Oct 2025, I was exploring karpathy's posts ... ... critique you, it can do that as well. Btw Karpathy also posted about it recently. So I thought, like he said that sometimes models differs for a same input and handles it differently, what if he can share those chats

... months, our most requested feature at Murror was a chat function. Users wanted to talk to the AI the way they talk to a friend. It seemed obvious. Every competitor

... scraped 50,000 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 ... ... domains cited across all 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

... 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

... this guide isn't just a quick summary. We're going to go deep. We'll explain exactly what Snaply is, how it works, why privacy matters so much for dictation tools, how it stacks up against every major alternative, who it's best for, and how to get the most out of it. Whether you're a solo professional, part of a team, or evaluating dictation software for an enterprise deployment, this is the most complete breakdown ... ... find. Table of Contents Why AI Dictation Matters in 2026 What Makes a Truly Great Dictation App What Is Snaply? Snaply's Core Features: In Depth Why Privacy Is Non-Negotiable for Dictation Snaply vs

... everyone, As much as I use Gemini day-to-day, the chat interface is starting to feel a bit cluttered as my history grows. I've been thinking about the quality-of-life improvements that would make the experience much smoother, but I'm curious to know what the community thinks is the highest priority. If you could only pick one of these features for Google to implement next, which would it be? Folders/Projects: The ability to manually organize chats

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor

... been working on a free chrome extension called LiteGPT that focuses on improving ChatGPT s performance and overall experience. If you ve ever noticed lag in long conversations or slow loading when switching chats

... 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 ... ... recognize them almost perfectly 99.4% for ChatGPT

... 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

... 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

... 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

... 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

... Over the past three months, I've spoken with 50+ agencies using Rankfender. Most started the same way: a client asked "are we showing up in ChatGPT?" and they had no answer. Now? Many have built entire new service lines around AI visibility adding 2k, 5k, even 10k in monthly recurring revenue. Here's exactly how they're doing it. The Opportunity Why this matters for agencies: Metric Value Brands that don't know their AI visibility 78% Clients asking ... ... 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

... exact audit process we use at Rankfender the same one we've run for 500+ brands. Here's the hard truth: 78% of brands are completely invisible in AI answers. They spend thousands on SEO but never check if ChatGPT, Google SGE, or Perplexity actually mention them. Don't be one of them. This 30-minute audit will show you exactly where you stand and exactly what to do next. PART 1: Why This Matters Now Before we start, understand ... ... stakes: Platform Monthly Active Users AI Answer Prevalence ChatGPT

... everyone who checked us out, 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 ... ... 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

... this is a very fair question: If I can just use free ChatGPT/Grok/Gemini to upload my CSV and analyze sales, why do I need Okiela? *The short answer: ChatGPT

... products on the internet. Makers go all out to win launch day, because that visibility 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

... 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 cost vs

... trial key is auto-provisioned on your first request. JavaScript / TypeScript npm install @mnexium/sdk import { Mnexium } from '@mnexium/sdk'; const mnx = new Mnexium({ apiKey: 'mnx_...', openai: { apiKey: process.env.OPENAI_API_KEY }, }); const alice = mnx.subject('user_123'); // Chat with memory learns and recalls automatically const chat

... built @Mnexium AI and I thought the fastest way to get folks to try was it to build a chat plug-in for websites. I am providing free keys (however much usage it may be) to anyone who is willing to try it. The plug-in can be found on NPM https://www.npmjs.com/package/@m... npm install @mnexium/chat <MnexiumChat endpoint="/api/mnx" /> Out of the box you get: A professional chat