Underlabs

Apple has quietly halted App Store updates for popular AI "vibe-coding" applications most notably the $9 billion startup Replit and mobile app builder Vibecode. After months of pushback, Apple is reportedly demanding major UX changes. Replit is being asked to force its generated app previews to open in an external web browser rather than natively inside its app. Vibecode was told it must completely remove the ability to generate software specifically for Apple devices.

AI can now mimic a person's face and voice with startling accuracy. Deepfakes can make anyone appear to do or say anything. A familiar face or voice no longer guarantees authenticity. Be cautious. Check the source. #ThinkBeforeYouShare

@VadimStrizheus Multiple-PicoClaws

As a founder, which tool are you actually using in 2026? 1. NemoClaw 2. Perplexity computer 3. MaxClaw 4. OpenClaw 5. Claude Code

@kloss_xyz Apple seems to be adult and responsible side in all this tweet.

do you understand what just happened? > google just dropped its own full stack vibe coding system with multiplayer, databases, auth, and firebase baked in. > detects when your app needs a database and provisions it for you.  > remembers full project structure and chat history across sessions. > close out, come back tomorrow, and it picks up right where you left off like nothing happened. > antigravity auto installs libraries without you asking. it reads your project and decides what’s missing. > ai studio added api key management for payments, maps, and databases. > google owns your calendar, your email, your docs, your maps, and now they own your IDE too. > one button to deploy to production. > now google may actually compete with claude code and codex with even more of google’s ecosystem behind it > they shipped playable demos with multiplayer laser tag, 3D physics in games, live Google Maps data, and all of these are built from one shot prompts > apple also decided to block vibe coding apps from updating in the app store the same week google made vibe coding production grade??? anyone else find that coincidental? if you’re not following me already, you’re finding out about this all 48 hours late from someone who read my post​​​​​​​​​​​​​​​​.

@jjuulliiaallii Sure

who wants unlimited credits :))

Japan took the gold, but Canada stole every heart ❤️

@tom_doerr Sounds expensive.

Orchestrates Codex, Gemini, and Claude for parallel task execution github.com/nyldn/claude-o…

Anthropic have just buried OpenAI and ChatGPT with this ad lmfao There’s no coming back from that

@Anas_bd01 @marclou

@marclou 0 revenue Acquired for $3,700.

✅ ACQUIRED A niche website with $0 revenue, but strong traffic. Listed for sale 42 days ago. Acquired for $3,700.

@digitalocean @AprilDagon80113 @openclaw Wait… you’re snooping on your clients ?

@AprilDagon80113 @openclaw Totally! 💯 Especially when you see what others have already built with it. 😎

1-Click Deploy @openclaw is here. 🦞☁️💧 Developers can quickly provision always-on agentic AI in a production environment with scalable, reliable infrastructure from #DigitalOcean.

@alexgoughcooper Ok, Parker. Nice website 👍

2. We spent 12 months build heyparker.ai in closed beta with 100+ of the world's largest brands. Grüns - $500M brand Lume - $100M+ brand Legends - $100M+ brand Sign up or book a demo below:

Introducing Parker: The world's first AI Creative Director. 100+ brands like Grüns, Lume and Legends use us already. RT + Comment "Parker" and I'll send you 100+ AI prompt engineers for hire.

@alexgoughcooper Parker

@hugomercierooo Twin

𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝗧𝘄𝗶𝗻 — 𝘁𝗵𝗲 𝗔𝗜 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗯𝘂𝗶𝗹𝗱𝗲𝗿. No setup. Secure. Infinitely scalable. We just raised a $𝟭𝟬𝗠 𝘀𝗲𝗲𝗱. After a beta with 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝗮𝗴𝗲𝗻𝘁𝘀 𝗱𝗲𝗽𝗹𝗼𝘆𝗲𝗱, we’re now opening to everyone. RT and comment “Twin” — first agents on us. 👇

@LiorOnAI Time to First Token? TPS ? Where are the benchmarks.

You can now run 70B LLMs on a 4GB GPU. AirLLM just made massive models usable on low-memory hardware. 𝗪𝗵𝗮𝘁 𝗷𝘂𝘀𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱 AirLLM released memory-optimized inference for large language models. It runs 70B models on 4GB VRAM. It can even run 405B Llama 3.1 on 8GB VRAM. 𝗛𝗼𝘄 𝗶𝘁 𝘄𝗼𝗿𝗸𝘀 AirLLM loads models one layer at a time. Instead of loading everything: → Load a layer → Run computation → Free memory → Load the next layer This keeps GPU memory usage extremely low. 𝗞𝗲𝘆 𝗱𝗲𝘁𝗮𝗶𝗹𝘀 • No quantization required by default • Optional 4-bit or 8-bit weight compression • Same API as Hugging Face Transformers • Supports CPU and GPU inference • Works on Linux and macOS Apple Silicon 𝗪𝗵𝗮𝘁 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗱𝗼 • Run Llama, Qwen, Mistral, Mixtral locally • Test large models without cloud GPUs • Prototype agents on cheap hardware

@ErnestoSOFTWARE Stop conning people

@kaif9999 I’ll clone it and offer it for 5$ to undercut your pricing. Everything moving forward is a war of attrition.

You could literally – Buy Claude Code – Build a SaaS and call it an AI SaaS – Get 10000 paid users for $20 each That’s $2.4M a year Why is nobody doing this ?

@hstrkkrm @AiBreakfast That was the first question that came to mind

@AiBreakfast Bypaaa captchas?

🚨We finally have an AI AGENT with an API THAT ACTUALLY WORKS 🚨 Mino lets apps and agents interact with websites the way humans do: 🟢Clicking 🟢Filling forms 🟢Navigating flows without APIs, SDKs, or partner access) It makes websites usable by software even when they were never designed for it. If a human can do it in a browser, Mino can automate it as it's own API! Here it is extracting Urgent Care appointment availability from a complex site:

@priv8_code @sama I simply think you guys are not really comparing. It’s remarkable you think 5.2 is on par with Gemini 3.

@sama tbh if GPT 5.2 is actually a major improvement you guys got a shot Keep improving user UI, not a lot of competition there Keep focusing on acquiring users through niche, like sora 2 - disney character integration

Ten Years: openai.com/index/ten-year…