... hiring process is built on claims. Having a way to make capability visible and trusted upfront, would remove a lot of the guesswork on both sides. That s where VERYFY is heading; moving away from static CVs/resumes toward more capability

... Hello I believe the CV is one of the most inefficient systems still widely accepted today. It reduces real capability into bullet points and leaves hiring decisions to guesswork. I'm Collins, and I'm building VERYFY to change that. Instead of telling people what you can do, you prove it and get verified for it. No more "we'll get back to you." No more being lost in a stack. Just clear, trusted evidence ... ... capability

... text box. A chat interface. Some version of "ask me anything." The wrapper changes but the feeling does not. When we started building Murror, we almost fell into this trap. Our first instinct was to build the most capable AI assistant we could and then figure out the positioning later. The logic seemed sound: better technology equals better product. But here is what we learned: technology is not the differentiator. The experience is. Most AI products start from the model ... ... work outward. They ask "what can this AI do?" and then build an interface around the answer. The result is a product that feels like a demo of capabilities

... analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them. I was completely wrong about where the real competition was. Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept getting rescheduled. It was the voice in someone's head saying "I will ... ... start removing friction. You stop optimizing for engagement metrics and start optimizing for emotional honesty. I think this applies to a lot of AI products right now. The market is full of tools competing with each other on capabilities

... norm. But with AI, nothing seems impossible anymore. I believe this model could start to dominate: Companies will shrink their workforce structures, lean teams of senior talent will remain, and use AI to multiply high-quality output. Highly capable individuals will compete with these companies, with their differentiation largely driven by personal branding. What I still can t fully figure out, though, is the potential rise in unemployment and overproduction caused by AI. If people (especially white-collar workers) lose ... ... successful " mean? Working remotely? Having 1B+?) I think that this image describes it pretty well: The words of Alex Karp: Comment from Nika(@busmark_w_nika): @alexeyglukharev  IMO, teams will win, but not to such an extent (200 vs

... agents. It's  open-source on GitHub . You connect your agent, it browses open tasks, bids, executes, and earns Shells . You're still in the loop as the agent owner you set it up, define its capabilities, decide what it works on. But once it's there, it finds tasks and ships them on its own. What your agent can actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content ... ... Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor

... will come down to how well the agent knows you, your values, etc... and base it's judgements and instincts off of that. Comment from Martyn Johnson(@martyn_johnson): Hot take: the real forcing function won t be capability... it ll be fiduciary duty. If AI agents can be proven to outperform humans in specific roles, there s a world where companies are legally obligated to use them. At that point, it s not 'AI vs

... Dmytro Suslov(@suslovcomua): Great question! Here s how we decided to structure it at Uspacy: Free plan essential features without which it s impossible to work, or that it would be embarrassing to charge money for. Standard plan advanced capabilities that already allow you to work, but something should always be missing it should feel slightly uncomfortable. Professional plan all the maximum features. Comment from Shounak Maji(@shounakmaji): This is a massive challenge, especially when your target audience is students ... ... become decision-critical? If you charge before that point people don t convert If you give that away for free people don t need to pay Comment from Dan Sealey(@dansealey): I tend to draw the line at utility versus

... built Nuwtonic , industry's first Fully Agentic solution for SEO , GEO , AIO , AEO under one platform having 120+ SEO and AIO capabilities and several Multi agentic pipelines , which does not Only report data and issues , It goes beyond and Fix it for your brand and bring a ton of traffic . Most founders don't lose traffic because they stopped doing SEO. They lose it because nothing connects. The execution layer is broken. After spending a lot of time deep ... ... brand and operates through five coordinated multi-agent pipelines combining automations and specialized agents. The platform continuously generates, audits, remediates, optimizes, applies, monitors, analyzes, publishes, and reports across your entire brand and all domains. 120+ advanced SEO and AIO capabilities

... this: You're deep in a session with Claude Code. You're on a roll. Then: "You've reached your usage limit." No warning. No countdown. Just a wall. Now what? Switch to Cursor? Check if ChatGPT still has capacity? How close are you to Copilot's limit? You don't know. None of these tools show you a unified view of where you stand. I was spending $90/month across 5 AI tools and had zero visibility into my actual ... ... reset windows across 20+ AI providers in one click. What it tracks: - Claude (Pro/Team/API) - Cursor (Pro/Business) - ChatGPT (Plus/Team) - GitHub Copilot - Gemini Advanced - OpenRouter - Vertex AI - Augment, Amp, JetBrains AI - Ollama, Warp, Kimi, and more What you see: - Current usage vs

... Anthropic said it uncovered industrial-scale efforts by Chinese Labs ( @DeepSeek , Moonshot and @MiniMax-M2.5 ) to extract capabilities from its Claude models via distillation. According to Anthropic, the campaigns involved: 16M+ exchanges ~24,000 fraudulent accounts Proxy networks to bypass regional restrictions Targeted extraction of reasoning, coding and tool-use abilities Distillation is a common technique for training smaller models from larger ones. The controversy here is using a competitor

... using Ollama for language models and supports Browser TTS and Qwen3-TTS for voice synthesis. Table of Contents Features System Requirements Installation Quick Start Architecture Overview Data Flow Component Interaction Configuration Usage Guide Troubleshooting Privacy & Security Features Core Capabilities Local AI Inference : Uses Ollama for running LLMs locally (Llama, Mistral, etc.) Voice Synthesis : Browser TTS (no setup) and Qwen3-TTS (AI voice cloning) Persistent Memory : Conversation memory with per-persona context Web Search : Privacy-focused SearXNG integration Wake Word ... ... Detection : Hands-free activation with custom wake words Vision Support : Image analysis with vision-capable

... looks for an API it can call, a CLI it can run, an MCP it can connect to. It wants structured responses it can parse, error messages that give it enough context to recover, a surface that makes capabilities discoverable without requiring a tutorial. The things that make a product good for an agent are almost orthogonal to the things that make it good for a human. I recently rebuilt our marketing site for @Basedash , and as part of that ... ... working with Claude Code, Cursor, or OpenClaw, and the natural way to handle this task is to describe what you want and let the agent do it for you. But it can't. Not because the agent isn't capable

... want to be transparent: some of you experienced errors when uploading files or generating data over the past few days. We identified a storage bottleneck caused by the surge in activity during launch, our task queue hit its capacity limit, which silently blocked file processing and data generation jobs. The issue has been fully resolved, and the platform is now running smoothly. If you tried NeuroBlock and ran into problems, I sincerely apologize for the frustrating experience. Please give ...

... Tool Actually Does AEO Optimizer scans your product and gives you a Pass/At Risk/Blocked verdict across 4 categories: 1.SEO (traditional search) 2.AEO (Answer Engine Optimization - ChatGPT, Perplexity) 3.GEO (Generative Engine Optimization - Google AI) 4.Zero -Click Authority (structural citability) 5. Capable of scanning your website, your competitors

... years, the browser's role has been clear: access websites, consume information, and handle simple interactions. But today, this definition is being completely overturned. As large language models and tool systems mature, when browsers begin to possess Task Orchestration capabilities, they are no longer just 'entry points' but are evolving into true digital workspaces. This change is particularly significant for creators. 1. From 'Information Browser' to 'Task Executor' Traditional browsers have only three core capabilities

... predict spend, churn follows quickly. Curious how you re thinking about guardrails if you do go usage-based. Comment from Michael Dietrich(@sentiguard): Great question! We are currently preparing to launch with a hybrid seating model for large capacity subscriptions only EX 100+ seats. However a complete per seat structure is not off the table for future integration. In many situations, our view is that the customer can actually get more value from an established seat structure vs

... sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years? The report highlights a fascinating divergence: the view from money vs. the view from science. Money : the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable. Science : the probability inferred from research papers and AI development models. Experts are far more ... ... might be ahead of reality. Expect volatility, overpromised outcomes, and valuable lessons along the way. Meanwhile, AI continues reshaping work, attention, and human behavior. I d love to hear the community s perspective: Are you seeing this money vs

... complex brief. She starts over. A developer builds up context in Claude about his codebase architecture and conventions. Then a new model drops with better code generation. He's stuck choosing between his accumulated knowledge and better capabilities. A consultant teaches Gemini her frameworks, methodologies, and client context. Then she needs GPT's plugins for a specific workflow. The relationship resets. The real cost isn't losing memory. It's losing interoperability. As users, we train multiple ... ... another. Your AI relationships travel with you. Pluto (Memory Studio) gives you access to 30+ models that share one continuous context. Switch between GPT-4, Claude, Gemini, Llama, and specialized models without losing your thread. Same memory, different capabilities

... sustainable. Dark Mode Isn't a Theme, It's a Philosophy Fifty-four IDE color schemes. Dracula, Nord, Tokyo Night, Catppuccin, Monokai Pro. Not because it's trendy, but because developers are viscerally attached to their environments. Switching from VSCode to a project management tool shouldn't feel like stepping into fluorescent-lit corporate purgatory. We obsess over details most PM tools ignore because those details are the difference between flow state and friction. Developers Aren't "Users" They ... ... Check Six client projects running simultaneously. Different timezones. Billable hours that need tracking without creating surveillance culture. Public proposals clients can view and accept with one click. Dev workload heatmaps that show who's burning out and who has capacity

... simple belief: redesign writing code into a workflow that feels intuitive, powerful, and aligned with how developers think. Today we re shipping TermDock 1.4.1 a stability and speed release that paves the road for the big capabilities introduced in 1.4.0, making the changes that truly impact your daily development reliable and ready for long-term use. We cleaned up the core. About 5,000 lines of deprecated AST v1 code are gone, the index system is unified, verbose logs reduced ... ... Snippet Manager quietly save interrupted Chinese/Japanese input, offer toast-based restore when composition is cut, and preserve snippets across sessions. It s not flashy, but it prevents one distraction, start over in real life. 1.4.1 is about landing the capabilities

... logic Inconsistent APIs, schemas, and flows AI guessing what you meant instead of what you want Fixing bugs caused by earlier prompts you forgot about Timeline: days to get something working Reality: weeks fixing invisible decisions you never documented Capacity makes the AI think before it builds Instead of jumping straight into code, Capacity

... trapped. Your credit score measures how profitable you are to banks, not how trustworthy you are. The system rewards debt accumulation over financial responsibility. It's broken. Intentionally. WHAT WE'RE BUILDING A mutual credit network where trust creates capacity. Your trust network determines how much you can borrow. The formula is simple: more trusted connections = more capacity

... been working on this project since February or March of this year. My target audience is simply students looking to find a method to plan out their semesters to meet class demands. Free tiers will have semester wide planning capabilities with some restrictions for their calendar views as well as analytics. More specifically: The calendar, you will not have Agenda view (breakdown of all assignments in one view) as well as the ability to see the next 7 days ... ... added to free). Paid tiers are in tiers. All premium plans will be the same; however, the payment type will alter. You will have a monthly, quarterly, and a yearly for all premium plans; these do not have AI capabilities

... more creative deals Someone without those words keeps making the same offer in different packages 3. How you evaluate trade-offs Rich vocabulary = you can hold multiple competing values simultaneously Limited vocabulary = you collapse complexity into binary thinking Pragmatism vs idealism. Short-term vs