Introducing Anything Max: Vibe Coding that's leaps above Lovable and Bolt We've raised money at a $100M valuation and built what we believe is the future of vibe coding. We asked 100 vibe coders to build their apps side by side on Lovable, Bolt, and Anything Max and they rated Anything Max the winner across all 3 categories - accuracy, design, and 'overall'. Here's why: • Full-stack control: Max can test backend hooks, branch database states, and debug issues, because Anything owns the full infrastructure. • Max can load up your app in its own browser and click on all buttons like a human tester to find all edge case bugs, then trace the bug across the stack - could be a frontend, backend, or a database issue (only we can do this, read #1) and autonomously fix it with 97% accuracy. Lovable and Bolt build prototypes, but Max users are building production-ready apps and already charging money for them. Blake built a gut biome app to $10K run rate Anthony built a referral tool to $20k in revenue Yuri built a suite of apps doing $40K Build your app with Max: createanything.com/max -------------------------------------------- We're hosting a $100K Hackathon to help people grow their app to $10K MRR. - We'll teach you everything we know about growing to 1M users. - You'll have 30 days to build a real product in public and get paying customers for it. If you do it well, you can start the New Year with a functioning business. Retweet and comment “LFG”, and we’ll send you a $100 discount code and the link to participate

Gemini 3 has a capability most people don't even know exists. it's not the 1M tokens. it's not the multimodal processing. it's something else entirely. And it's the reason I built 3,000 prompts specifically for Gemini 3. Everyone talks about Gemini's specs: → 1 million token context → Native multimodal inputs → Deep Think mode → Agentic workflows But they're missing what happens when you combine these features. The secret is persistent systems thinking. Gemini 3 doesn't just process large contexts. It maintains coherent reasoning ACROSS those contexts while simultaneously: - Analyzing images - Reading documents - Planning multi-step workflows - Adapting based on previous outputs This creates emergent capabilities that don't exist in other models. I built 3,000 prompts that exploit this. Each prompt is built around this core insight: Gemini 3's real power isn't WHAT it can process. It's HOW it connects everything together. The library includes: ✓ 3,000 production-ready prompts ✓ Organized by difficulty (beginner → advanced) ✓ Real use cases for each prompt Like, RT reply "GEMINI" and I'll DM you the guide. (Must be following so I can DM) Skip this and keep wondering why your Gemini results feel the same as ChatGPT. Or grab the library and start using the capability everyone's missing.

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