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  • SureThing Launches First General AI Agency Version 2.0

    AI Tools Directory Exclusive: Today, SureThing launches version 2.0—the world's first General AI Agency. Users discover skills they've craved for months but never mastered. Paste a link, and it transforms into a proactive employee with a real GUI dashboard and live memory.

    → View original post on X — @futurepedia_io

  • Apple blocks Anything app despite serving millions of vibe coders
    Apple blocks Anything app despite serving millions of vibe coders

    .@Apple will literally approve 50 identical 'Chat with AI Waifu' scam apps before noon.. .. but they block a cool vibe-coding tool that actually teaches kids how to code. Make it make sense. Anything (@anything) Guideline 2.5.2 – Gatekeeping – Vibes denied we haven't talked about this publicly for months we tried to resolve it privately with emails, calls, appeals, and four technical rewrites to comply with whatever Apple wanted here's our truth, unfiltered on March 26th, Apple removed Anything from the App Store then they brought us back now they removed us again and I think it's time to say something, because this isn't really about us. It's about who gets to build software, and who gets to decide for most of the history of computing, making an app required years of specialized training. You either knew how to code or you didn't, and if you didn't, your idea stayed in your head forever. that barrier is falling right now. Millions of people are discovering they can describe what they want and get a working app they call themselves vibe coders and they are the most exciting audience in technology they're building things nobody else would have built because nobody else had their problems a firefighter in Northern California used Anything to build an emergency incident response app he never wrote a line of code. Did hundreds of iterations, testing each one on his iPad through our mobile preview app got it into the App Store. Now he's selling it to fire departments across the state. it would have cost him over a hundred thousand dollars to hire engineers He spent a few hundred bucks. That guy is why we exist. Not the technology. Him. And the millions of people like him. our mobile app did one thing for people like him it let them preview what they were building with Anything on their own phone. GPS, camera, notifications, things you can only test on a real device with native code They'd iterate, try it, tweak it, try again. When they were happy, they'd submit to the App Store through the normal process Apple reviewed it like any other app. Our mobile app got approved last year. We didn't hear a word of concern. then in December, they started blocking our updates, citing the infamous Guideline 2.5.2 the rule designed to prevent malicious apps from downloading code to change their behavior after review We understood the concern, even if we disagree it applies to us. We tried to fix it. Four different technical approaches, each one specifically designed to address what they told us. Each one rejected. we didn't go public we didn't tweet we kept trying then they pulled us from the App Store. We still didn't say anything. We worked with them, got reinstated, believed we'd found a path forward Then they pulled us again. at some point silence stops being patience and starts being complicity. We have builders who depend on us. They deserve to know what's happening and why. Guideline 2.5.2 is a good rule. apps shouldn't be able to pass review and then become something else. But that's not us. We help people preview their own work on their own device Expo Go has done the exact same thing for professional developers for years and is on the App Store right now, today! the only difference is our users aren't professional developers they're the firefighter they're the teacher building a classroom app they're the person who discovered last week that they could build software at all that's who Apple is locking out. Not us. Them. and here's what I need Apple to understand these people are the future of the App Store. Not a sideshow. The future. The number of people who can build apps is about to go from millions to hundreds of millions to eventually everyone the platforms and tools that serve those people will determine where they build every vibe coder who ships through Anything is a new developer in Apple's ecosystem who didn't exist a year ago They want to build web apps, Android apps, and yes iOS apps we help them add in-app purchases. We help them make their apps secure and scale. We catch rejection issues early. We are a feeder system for the App Store The safety argument is hollow. Preview apps only run on the builder's own device. They're sandboxed in the Anything mobile app. Want anyone else to use it? You still submit to the App Store. Apple still reviews every line. We're not bypassing review. We're a dress rehearsal for it. but none of that matters when a reviewer sees "downloads executable code" on a checklist and reaches for reject without asking what the code is, how it actually works, or who it's for. we're not waiting we launched text-to-app. Text us and we'll build your iOS app in the cloud We're shipping a desktop companion for on-device previews next. We'll find a way to serve our builders We always do. but I'm done being quiet about why we have to the people we serve, the ones crazy enough to start their own thing, building apps for their fire departments and their classrooms and their small businesses they deserve to test what they're making on the device it's made for that's not a loophole that's how building works – Apple can be the platform where the next hundred million builders get started – or they can keep banning the tools those people depend on and watch it happen somewhere else we all know which one the firefighter will choose — https://nitter.net/anything/status/2041599393237774507#m

    → View original post on X — @datachaz, 2026-04-07 22:44 UTC

  • Users Discover Non-Chat AI Interface Beyond Original Learning Tool Purpose

    I'm blown away at what ppl are using this for!! I built it as a learning tool. But people seem to really love using it as an AI interface that isn't chat that can work in their program of choice. Examples of usage so far: – A Mom building her first app on Lovable – A dentist debugging his OpenClaw setup – A photographer getting feedback in Lightroom – A person learning to animate SVGs in Framer – Founders keeping track of their todos. – Designers getting feedback in Figma – A student outlining her thesis in G-Docs – Traders analyzing live stock charts And A LOT of people using it to advise them on how to best reply to messages in Slack/Email. Super cool. The people yearn for a non-chat interface haha. Also, it's kinda crazy how as the founder you really don't know what the product is until you put it in the hands of users. The minute it's in the hands of others, it's theirs now! And that's really where you find out what it is. Farza 🇵🇰🇺🇸 (@FarzaTV) I built this thing called Clicky. It's an AI teacher that lives as a buddy next to your cursor. It can see your screen, talk to you, and even point at stuff, kinda like having a real teacher next to you. I've been using it the past few days to learn Davinci Resolve, 10/10. — https://nitter.net/FarzaTV/status/2041314633978659092#m

    → View original post on X — @scobleizer, 2026-04-07 22:08 UTC

  • Rocket 1.0 Launches: Persistent Context Between Sessions for Product Development

    "NOTHING resets between sessions." Anyone who's ever copy-pasted a 3,000-word prompt into ChatGPT for the 50th time just to remind it what app you're building knows exactly how MASSIVE this is! Huge congrats to the @rocketdotnew team 🤘 Vishal Virani (@Vishalvirani91) Rocket 1.0 is live. This is our first major step toward Vibe Solutioning. Vibe coding solved how to build. It never solved what to build, or why. That's the harder problem and the one where most products actually fail. @rocketdotnew connects the thinking and the building in one platform. Solve your hardest business question. Build from what you solved. Watch your competition while you work. Everything shares one context. Nothing resets between sessions. The video and blog explain it better than I can here. — https://nitter.net/Vishalvirani91/status/2041546557342855363#m

    → View original post on X — @datachaz, 2026-04-07 22:02 UTC

  • Mutiny launches AI agent for GTM teams creating customer content minutes

    Imagine having a prospect call. 5 mins later, you send them a custom microsite, perfectly branded with their exact pain points and CRM data. That’s what @mutinycorp just unlocked today. oh… and they hit 8-figures ARR + raised $72M from Sequoia/YC along the way 👀 Jaleh Rezaei (@jalehr) We raised $72M from Sequoia/YC and hit 8-figures in ARR. Then we shut it all down & rebuilt the company from scratch. Today we’re launching the new Mutiny: the first AI agent for GTM teams to create anything customer-facing, in minutes. Comment "Mutiny" to get 3X free credits. — https://nitter.net/jalehr/status/2041546131709292586#m

    → View original post on X — @datachaz, 2026-04-07 21:42 UTC

  • Abacus AI: Integrating AI into Your Real Infrastructure
    Abacus AI: Integrating AI into Your Real Infrastructure

    "AI agents will replace teams" is the narrative right now. At Abacus AI, it's less about hype, more about wiring AI into your actual stack – Slack, Drive, CRM, warehouses – all in real time. That's when it stops being a demo and starts working like infrastructure. [Translated from EN to English]

    → View original post on X — @abacusai, 2026-04-07 21:38 UTC

  • Rocket 1.0 Launch: 1.5M Users, Business Problem-Solving Platform

    1.5 million users before the 1.0 launch even dropped. Rocket is not a coding tool, It is a full business thinking platform where you solve the problem first, then build directly from that solution. That gap between thinking and building is where most products go to die. Vishal Virani (@Vishalvirani91) Rocket 1.0 is live. This is our first major step toward Vibe Solutioning. Vibe coding solved how to build. It never solved what to build, or why. That's the harder problem and the one where most products actually fail. @rocketdotnew connects the thinking and the building in one platform. Solve your hardest business question. Build from what you solved. Watch your competition while you work. Everything shares one context. Nothing resets between sessions. The video and blog explain it better than I can here. — https://nitter.net/Vishalvirani91/status/2041546557342855363#m

    → View original post on X — @aihighlight, 2026-04-07 21:18 UTC

  • Karpathy’s Self-Improving AI Knowledge Base with Obsidian
    Karpathy’s Self-Improving AI Knowledge Base with Obsidian

    ICYMI here's more info about Andrej’s new method nitter.net/DataChaz/status/203996… Charly Wargnier (@DataChaz) 🚨 Karpathy’s new set-up is the ultimate self-improving second brain, and it takes zero manual editing 🤯 It acts as a living AI knowledge base that actually heals itself. Let me break it down. Instead of relying on complex RAG, the LLM pulls raw research directly into an @Obsidian Markdown wiki. It completely takes over: ✦ Index creation ✦ System linting ✦ Native Q&A routing The core process is beautifully simple: → You dump raw sources into a folder → The LLM auto-compiles an indexed .md wiki → You ask complex questions → It generates outputs (Marp slides, matplotlib plots) and files them back in The big-picture implication of this is just wild. When agents maintain their own memory layer, they don’t need massive, expensive context limits. They really just need two things: → Clean file organization → The ability to query their own indexes Forget stuffing everything into one giant prompt. This approach is way cheaper, highly scalable… and 100% inspectable! — https://nitter.net/DataChaz/status/2039963758790156555#m

    → View original post on X — @datachaz, 2026-04-07 21:15 UTC

  • Karpathy’s Autonomous Obsidian Wiki System Replaces Traditional RAG
    Karpathy’s Autonomous Obsidian Wiki System Replaces Traditional RAG

    🚨 @karpathy literally ditched traditional RAG for an autonomous Obsidian file system. Instead of writing code, he dumps raw AI research into a local folder and lets an LLM convert it into an interconnected markdown wiki. He rarely edits the text manually. By relying purely on dynamically updated index files, the system navigates the exact context it needs natively without relying on flawed vector embeddings. Because the LLM fully understands the file structure, it executes advanced autonomous workflows: → Operates a custom vibe-coded local search engine → Renders complex charts and formatted markdown slides → Continuously compounds a 400,000-word knowledge base The most fascinating mechanic is the self-healing loop. He triggers background health checks where the LLM natively spots structural gaps, scrapes the internet for missing data, and cleans the articles perfectly. This feels the absolute blueprint for managing complex technical data 🔥 btw, he also plans to fine-tune a local model directly on the wiki so the research is baked into the neural weights rather than relying on limited context windows 👀

    → View original post on X — @datachaz, 2026-04-07 21:10 UTC