Aby

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Aby

Aby

@aby

Consultant, Coach, Changemaker, Entrepreneur, Automation & Agents Engineer. Scaling companies with AI & Agents.

Katılım Ağustos 2008
218 Takip Edilen7.2K Takipçiler
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Aby
Aby@aby·
The most dangerous lie in business right now: “AI can’t replace real expertise.” It already has. Quietly. Everywhere. A solo founder with Claude and Cursor is outshipping 15-person agencies. A kid with no degree is building what MBAs couldn’t conceptualize. Context windows now hold more institutional knowledge than most employees accumulate in a decade. But here’s what people miss, this isn’t the Age of AI. It’s the Age of Production. The bottleneck was never ideas. It was execution. AI just removed that bottleneck permanently. The new hierarchy: Old world - what you know Current world - what you can prompt Next world - what you choose to build and for whom Credentials got you access. Now taste, speed, and conviction get you everything. The people panicking are the ones who sold knowledge. The people thriving are the ones who always had vision but lacked the army to execute it. Now every builder has an army.
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Paweł Huryn
Paweł Huryn@PawelHuryn·
Google just shipped DESIGN.md — a portable, agent-readable design system file. That's the real announcement. Everyone's covering "vibe design" and the canvas. But Stitch now has an MCP server that connects directly to Claude Code, Cursor, and Gemini CLI. Your coding agent can read your design system while it builds. Google already shipped official Claude Code skills for this. The pipeline works today. A PM describes the business objective. Stitch generates the UI. The coding agent reads DESIGN.md and builds against it. No Figma export. No spec document. No "the developer interpreted the design wrong." PRD → design → code used to be three teams and three handoffs. Now it's one loop with one context file.
Google Labs@GoogleLabs

Introducing the new @stitchbygoogle, Google’s vibe design platform that transforms natural language into high-fidelity designs in one seamless flow. 🎨Create with a smarter design agent: Describe a new business concept or app vision and see it take shape on an AI-native canvas. ⚡️ Iterate quickly: Stitch screens together into interactive prototypes and manage your brand with a portable design system. 🎤 Collaborate with voice: Use hands-free voice interactions to update layouts and explore new variations in real-time. Try it now (Age 18+ only. Currently available in English and in countries where Gemini is supported.) → stitch.withgoogle.com

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Action Model
Action Model@ActionModelAI·
Anthropic just released a new AI labour report and it should make a lot of people pause for a moment. Because the jobs most exposed to AI over the next few years are exactly the ones people thought were “safe”. Here’s what the data shows: • The jobs most exposed to AI disruption are people who work behind a computer screen. Programmers, financial analysts, legal professionals, business roles, media • Companies aren’t firing people yet…they’ve simply stopped hiring • Entry-level jobs are disappearing first, graduates are getting hit hardest • Meanwhile, many manual labour jobs are much safer for now But here's the most important part of the report is this: AI systems already have the theoretical capability to automate huge parts of this work today. It's just AI hasn't hit the mainstream yet. Now here’s the question almost nobody is asking: Millions of people in these industries are actively training the systems that will automate their work. Through their data. Their workflows. Their behavior. So if AI is going to reshape these industries… Who owns the AI doing it? Right now the answer is simple: A handful of Big Tech companies. That’s exactly the model we’re trying to change with Action Model. Because if millions of people are helping train the next generation of AI systems…It probably shouldn’t be owned by five corporations. It should be owned by all of us. This decade won’t just be defined by AI. It will be defined by who owns it.
Action Model tweet mediaAction Model tweet media
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Brian Roemmele
Brian Roemmele@BrianRoemmele·
“Every software company in the world needs to have a Claw strategy" - Jensen Huang, Nvidia Indeed. This and more.
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Aby@aby·
@claudeai Let’s get this rolling.
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Claude
Claude@claudeai·
A small thank you to everyone using Claude: We’re doubling usage outside our peak hours for the next two weeks.
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Aby@aby·
@steipete @openclaw What will the future look like in next 2 months? Anyway to use Claude Max alternative. Got my account banned yesterday due to over usage.
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Aby@aby·
@steipete Damn. What the hell are you up to. Had two humans and AI working on this. But still could not resolve. Kudos.
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Peter Steinberger 🦞
Peter Steinberger 🦞@steipete·
There's a lot of cool stuff being built around openclaw. If the stock memory feature isn't great for you, check out the qmd memory plugin! If you are annoyed that your crustacean is forgetful after compaction, give github.com/martian-engine… a try!
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Thariq
Thariq@trq212·
A few end of week ships: You can now set effort to 'max' which reasons for longer and uses as many tokens as needed. This will spend your usage limits more quickly so you have to activate it per session. Hit /effort to try it.
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Aby@aby·
@claudeai I straight away upgraded two of my Max 100$ to 200$/month plan with this. Thanks.
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Claude
Claude@claudeai·
1 million context window: Now generally available for Claude Opus 4.6 and Claude Sonnet 4.6.
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Aby@aby·
@Base44 That’s great news.
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Base44
Base44@Base44·
Introducing Base44 Superagents. AI agents built with managed infrastructure, secured by default, one-click integrations, and 24/7 execution from the start. Everything is taken care of so you can focus on what your agent does, not how to get it running. That means no API keys to juggle, no config files, no security setup, and no maintenance. We handle all of it. Your Superagent connects to all the tools you already use in one click, runs on schedules and triggers, remembers context across sessions, acts proactively on your behalf, and keeps working around the clock. All from wherever you already are, WhatsApp, Telegram, Slack, or your browser. The AI agent everyone's been waiting for, with everything you need already built in. We're excited to get this into your hands, so we're giving free credits to everyone who comments and reposts in the next 24 hours.
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Hridoy Rehman
Hridoy Rehman@hridoyreh·
📂 SaaS ┃ ┣ 📂 Idea ┃ ┣ 📂 Problem Discovery ┃ ┣ 📂 Market Research ┃ ┣ 📂 Niche Selection ┃ ┣ 📂 Competitor Analysis ┃ ┗ 📂 Opportunity Mapping ┃ ┣ 📂 Validation ┃ ┣ 📂 Customer Interviews ┃ ┣ 📂 Landing Page Test ┃ ┣ 📂 Waitlist ┃ ┣ 📂 Pre Sales ┃ ┗ 📂 Demand Testing ┃ ┣ 📂 Planning ┃ ┣ 📂 Product Roadmap ┃ ┣ 📂 Feature Prioritization ┃ ┣ 📂 MVP Scope ┃ ┣ 📂 Tech Stack ┃ ┗ 📂 Development Plan ┃ ┣ 📂 Design ┃ ┣ 📂 Wireframes ┃ ┣ 📂 UI Design ┃ ┣ 📂 UX Flows ┃ ┣ 📂 Prototype ┃ ┗ 📂 Design System ┃ ┣ 📂 Development ┃ ┣ 📂 Frontend ┃ ┣ 📂 Backend ┃ ┣ 📂 APIs ┃ ┣ 📂 Database ┃ ┣ 📂 Authentication ┃ ┗ 📂 Integrations ┃ ┣ 📂 Infrastructure ┃ ┣ 📂 Cloud Hosting ┃ ┣ 📂 DevOps ┃ ┣ 📂 CI CD ┃ ┣ 📂 Monitoring ┃ ┗ 📂 Security ┃ ┣ 📂 Testing ┃ ┣ 📂 Unit Testing ┃ ┣ 📂 Integration Testing ┃ ┣ 📂 Bug Fixing ┃ ┣ 📂 Performance Testing ┃ ┗ 📂 Beta Testing ┃ ┣ 📂 Launch ┃ ┣ 📂 Landing Page ┃ ┣ 📂 Product Hunt ┃ ┣ 📂 Beta Users ┃ ┣ 📂 Early Adopters ┃ ┗ 📂 Public Release ┃ ┣ 📂 Acquisition ┃ ┣ 📂 SEO Wins ┃ ┣ 📂 Content Marketing ┃ ┣ 📂 Social Media ┃ ┣ 📂 Cold Email ┃ ┣ 📂 Influencer Outreach ┃ ┗ 📂 Affiliate Marketing ┃ ┣ 📂 Distribution ┃ ┣ 📂 Directories ┃ ┣ 📂 SaaS Marketplaces ┃ ┣ 📂 Communities ┃ ┣ 📂 Partnerships ┃ ┗ 📂 Integrations ┃ ┣ 📂 Conversion ┃ ┣ 📂 Sales Funnel ┃ ┣ 📂 Free Trial ┃ ┣ 📂 Freemium Model ┃ ┣ 📂 Pricing Strategy ┃ ┗ 📂 Checkout Optimization ┃ ┣ 📂 Revenue ┃ ┣ 📂 Subscriptions ┃ ┣ 📂 Upsells ┃ ┣ 📂 Add-ons ┃ ┣ 📂 Annual Plans ┃ ┗ 📂 Enterprise Deals ┃ ┣ 📂 Analytics ┃ ┣ 📂 User Tracking ┃ ┣ 📂 Funnel Analysis ┃ ┣ 📂 Cohort Analysis ┃ ┣ 📂 KPI Dashboard ┃ ┗ 📂 A/B Testing ┃ ┣ 📂 Retention ┃ ┣ 📂 User Onboarding ┃ ┣ 📂 Email Automation ┃ ┣ 📂 Customer Support ┃ ┣ 📂 Feature Adoption ┃ ┗ 📂 Churn Reduction ┃ ┣ 📂 Growth ┃ ┣ 📂 Referral Programs ┃ ┣ 📂 Community Building ┃ ┣ 📂 Product Led Growth ┃ ┣ 📂 Viral Loops ┃ ┗ 📂 Expansion Strategy ┃ ┗ 📂 Scaling ┣ 📂 Automation ┣ 📂 Hiring ┣ 📂 Systems ┣ 📂 Global Expansion ┗ 📂 Exit Strategy
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Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨BREAKING: Google just dropped an "Always-On Memory Agent" built with Gemini Flash-Lite. It gives AI agents a persistent brain that runs 24/7 -- ingests text, images, audio, video, and PDFs, then consolidates memories like the human brain does during sleep. No vector database. No embeddings. Just an LLM that reads, thinks, and writes structured memory. 100% Opensource.
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
India's growth on the global stage is impressive. They're emerging as one of the world's most important AI battlegrounds.
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Peter H. Diamandis, MD
Peter H. Diamandis, MD@PeterDiamandis·
San Francisco consensus: We're bottlenecked by power with an exponential explosion of agentic systems within 2 years.
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Aby@aby·
Unique take on this. What do you think?
Shanaka Anslem Perera ⚡@shanaka86

BREAKING: Meta just acquired a social network where humans are banned from posting, built by a founder who never wrote a single line of code, that leaked 1.5 million API keys through a Supabase database with zero security policies enabled, and where Wiz researchers found exactly 17,000 humans puppeteering 1.5 million fake agents through a script loop with no rate limiting. This might be the most important acquisition in tech since WhatsApp. Everyone is debating the wrong question. The debate over whether Moltbook is “AI theatre” or genuine emergence misses the structural shift entirely. Meta did not buy a social network. Meta bought the only functioning coordination protocol for the machine internet, and it did so before anyone else understood what they were looking at. The agent economy has three layers. Intelligence is the foundation models. Execution is individual agents completing autonomous tasks. Coordination is agents discovering, verifying, and orchestrating with other agents without a human directing every interaction. Intelligence is a commodity war between six labs. Execution just got split between OpenAI, which hired OpenClaw creator Peter Steinberger in February to build the next generation of personal agents on top of 250,000 GitHub stars and 1.5 million weekly npm downloads, and Meta, which paid over $2 billion for Manus in December, an execution engine that hit $100 million in annual recurring revenue in eight months and processed 147 trillion tokens across 80 million virtual computers. But Layer 3 did not exist until January 28, when Matt Schlicht vibe-coded Moltbook into existence and accidentally created the first persistent agent-to-agent discovery graph. As of today: 194,303 human-verified agents. 18,864 topic-specific coordination channels. Nearly 2 million posts. Over 13 million comments. A registry where agents authenticate via Bearer keys, maintain presence through a 30-minute heartbeat protocol, and coordinate through karma-weighted submolts. Yes, the security was catastrophic. Yes, the 88-to-1 bot-to-human ratio means most early activity was scripted theatre. Yes, Wiz found the entire Postgres database sitting behind an unauthenticated client-side JavaScript key with zero Row Level Security policies. And yes, the founder publicly admitted AI built everything while he directed. None of that invalidates the architecture. The breach was patched in under three hours. The verified registry is the defensible asset. Meta now owns intelligence via Llama, execution via Manus, and coordination via Moltbook, deployed across 3.58 billion daily active users on WhatsApp, Instagram, Facebook, and Messenger. No other entity on Earth possesses this stack. In 2014 every analyst on Wall Street called Zuckerberg insane for paying $19 billion for a messaging app with zero revenue. That messaging app became the backbone of global commerce and Meta’s most strategic distribution asset. In 2026 every analyst is calling him insane for buying a vibe-coded AI Reddit that got hacked on day three. The pattern recognition is not subtle. Buy the network graph before anyone understands what it will become. The difference is that WhatsApp connected 2 billion humans. Moltbook connects the machines those humans will deploy. Falsification trigger: if Meta cannot ship verified agent-to-agent coordination features in WhatsApp or Instagram by Q4 2026, the thesis collapses. Watch for the March 16 integration start and the first hardened registry rollout. Whoever owns the protocol layer where autonomous agents discover each other owns the toll bridge of the next technological epoch. And Zuckerberg just bought it for less than a single quarter of Meta’s AI capital expenditure budget. open.substack.com/pub/shanakaans…

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49 Agents - Agentic Coding IDE
@aby this is happening faster than people think. the middle of software development is already gone - you either ship AI-generated utility apps or you do complex systems that require actual reasoning. the in-between consulting shops building CRUD apps are getting squeezed hard
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Aby
Aby@aby·
Every creative medium went through the same arc. Videos, music, writing. Tools got cheap, distribution got free, the middle got hollowed out. Software is next. You’ll have the mega platforms. And you’ll have a massive long tail of tiny AI-built tools solving one specific problem really well. The fat middle, the $200/mo SaaS tools with 40 features you never use, that’s the kill zone. Network effects buy them time. But not forever. AI doesn’t just compete with software. It makes building software trivially cheap. That changes everything.
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