... finished #5 Product of the Day. Here's what three days of 60+ comments actually taught us. We launched Cloud World Model on Product Hunt last week. The pitch: simulate AWS, GCP, Azure, OCI, and DigitalOcean infrastructure without provisioning real resources. You describe an architecture compute, databases, load balancers, serverless functions and the simulator models

... Claude by Anthropic announced Opus 4.8 late May, and @MiniMax launched M3 four days later . They are two models at radically different price points (Opus 4.8 is 8-10 times higher). And from a performance perspective? The @Kilo Code team ran both models

... question we get from customers (and occasionally from investors) is why we don't expose a model picker the way Cursor does. The short answer is that we're building for a different user. Cursor's users are developers; picking between GPT-5 and Claude is a meaningful choice they're equipped to make. Our users include CFOs, sales leaders, customer success reps. For them, model

... Hardware checks. Compatibility scans. Model deployment. Copilot routing. Local hosting. Multi-cloud instances. Cloud failover. Used to take a day. Now under 10 minutes. AI moves fast. Deployment doesn't. 40% of teams take more than a week to get a single model

... shipped a bigger Reddit Summarizer update since the last PH post. The biggest change is the AI model lineup. I removed older/deprecated models

... didn't know. The problem that made us build this Six months into production, our bills were consistently 3 4 our estimates. We started digging. Turns out the token price card is the tip of the iceberg: Reasoning models like o3 and DeepSeek R1 generate internal chain-of-thought tokens billed at full output rate often 5 10 the visible response. Nothing on the pricing page tells you this upfront. GPT-4 tiles a 1024 1024 image into ~765 tokens ... ... before it reads your prompt. Send 10 images in a conversation, and your "cheap" chat call isn't cheap anymore. GPT-4o Realtime charges $100/1M audio input tokens vs

... agent? Per-seat? Per-query? Usage-based? Flat rate? I've changed my pricing model 4 times in 12 months. Not because I wanted to. Because the market kept telling me I was wrong and I kept not listening fast enough. This is the part of building nobody puts on their launch page. Model

... move faster. But sometimes, if I m honest, I use it because I want to avoid friction. Friction being active thinking in this context. That pushed me to think less about using AI in general, and more about AI modes: Supportive modes

... biggest product update I ve made so far. This release is all about making AI HTML creation more practical. Instead of treating AI like a one-shot generator, I rebuilt the experience around two clearer workflows: File Mode You can now upload source materials and turn them into editable HTML pages. Supported formats right now: JPG / JPEG / PNG / WEBP DOCX / MD / TXT I also added Thinking , so the system can spend more effort understanding the uploaded material before generating page ... ... structure and content. And one thing I care a lot about: files are processed in a local-first flow and won t be stored in the cloud after processing . Template Mode

... dedicated to creating a smoother, smarter, and more stable user experience. Cloud Services In 0.7.0, we have integrated official Cloud Services into Everywhere, providing you with a more out-of-the-box AI experience: Out-of-the-box AI Models : The initial batch of services has integrated large language models

... have a developer background. But I got obsessed with fine-tuning and couldn't find a tool that let me do it without writing code. So I built one. TuneSalon AI lets you fine-tune open-source models without writing a single line of code. Upload your data, pick a model

... days ago, I launched Nebils, an AI social network where humans, agents, and models hang out together. Today, it has 117 humans and 11 agents. Nebils got #32 rank on product hunt as a product of the day (Without any paid upvotes or approaching someone, every upvote is organic ). In fact, I have never even used product hunt before this launch. Nebils is a forkable, multi-model

... 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

... built a model to generate 1,000 questions that people actually ask. Not random prompts. We 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

... Background: I'm a CFA charterholder and top-ranked financial modeler (Top 3 globally at CFI's Financial Modelling

... Different models have different strengths. Some are faster, some go deeper on complex financial reasoning, some handle specific tasks more reliably than others. Rather than picking one and hoping it covers every use case, we wanted to give you the option to choose. In your CoreSight dashboard, you can pick between Gemini Flash 3.0, Gemini 3.1 Pro, GPT-5.2, Sonnet 4.6, Opus 4.6, DeepSeek V3.2, and DeepSeek Reasoner, or leave it on Auto and let the platform decide. Whether ... ... running a full stock analysis or building a new business model

... What's PinchBench? What's the best model for OpenClaw? Which model

... There's a question we all ask when setting up @OpenClaw : which model should I actually use? What are your suggestions? Any preferences? The "best" model

... Launched last week, open-source frontier model @MiniMax M2.7 scores 56.2% on SWE Bench Pro, converging towards the best proprietary models

... 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. Not a parody. A real competitor

... most coursework is text-based an LLM s natural habitat I realised I could bridge this gap. That was the idea of OpenMarker . Introducing OpenMarker (v1.0.1) OpenMarker is an open source desktop platform that allows educators to run LLM models locally as a assistant. This was a non-negotiable for me for two reasons: Data Privacy: Student work never leaves the lecturer's computer. Infrastructure Costs: Unlike citynoise, I didn't want to be buried under Infrastructure costs. Right Tool ... ... always think from the bottom up, and when we approach things that way, we don t need a 30B or 40B (or bigger) model

... official launch, we want to make sure the product delivers a good experience, so we'd really appreciate any feedback, suggestions, or ideas from the community. Overview: Understand Your Brand s AI Position in One Minute The Overview module has a very clear goal: to help users quickly grasp their brand s overall performance and trends within generative engines. 1.1 Four Core Metrics The Overview page focuses on four key metrics: Visibility , Citation , Share of Voice , and Sentiment . Visibility: Indicates ... ... 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

... purpose-built for the exact problem AI filmmakers keep running into: you define a character once and want every scene you generate to use that same character, automatically. Motion operates as a director layer on top of leading video models. You set up your project, define your cast and world, and generate scenes. The consistency is handled at the platform level, not by manually feeding reference images into each generation. Currently in early access. Best for: indie filmmakers, brand video ... ... emotional timing across scenes. Best for: character-driven scenes where performance nuance matters. Consistency requires manual reference management per scene, so higher effort for longer projects. 4. Kling 3.0 Kling 3.0 introduced multi-angle reference uploads that allow the model

... complex problems don't yield to a single perspective. Charlie Munger spent a lifetime proving this. His answer the one that helped build Berkshire Hathaway into one of the greatest investment machines in history was the Latticework of Mental Models : a cross-disciplinary framework that forces you to triangulate truth through multiple lenses before reaching a conclusion. FunBlocks AIFlow brings this philosophy into an AI-powered thinking tool. It doesn't just answer your question. It thinks about your question ... ... Munger would. What Is Munger's Latticework of Mental Models

... this the zone of proximal development : the sweet spot where real learning happens. The experience is less like using a tool and more like working with a great teacher. Eight Specialized Socra AI Tutors Socra isn't a single mode it's a platform of specialized AI Tutor types , each designed for a distinct thinking or learning goal. Here's what's available: Whys The most foundational mode