DeHyped

cursor is valued at $50 billion. their new coding model was secretly built on a chinese open-source model. they didn't tell anyone until a developer intercepted the API traffic. this is what dehyped is for. first teardown below.

@Atenov_D @zscdao @Polymarket @0xEvinho @farmtokyo @gghostbo4 @0x6ix6ix6ix @Stevenagain_ @randomzhki wait how does replit handle real auth flows and migrations, or is this demo-only?

Lately, I’ve been actively developing the biggest and best hub for collaborative development in X. Ofc, I’m making full use of under-the-radar AI-powered apps. > And so far, I’ve selected the best suite of AI tools for myself: - Replit. The best tool for vibe coding. You don’t need to jump through hoops to create the right prompt for it. It understands everything like a human and audits its own errors along with debugging. - Groq. A service that hosts the most powerful free AI models itself. Two clicks and the API is yours. INDISPENSABLE. - Antigravity. There’s a lot to say about Cursor, but it hits its limits very quickly. I haven’t had that issue with Antigravity. I develop all my projects exclusively through Antigravity+Replit. - GitHub. I can’t stand it, but nothing more convenient has been invented yet. A must-have for development. - Supabase. So far, the best free database host. Convenient and visually BEAUTIFUL. It has its own skills for AI agents and AI support in general. In short, this is my go-to platform right now, and I hope to soon be able to present you with my coolest tool for development in X. > Bookmark this post so you dont lose it (There’s a link to its demo version in my profile bio)

@StartupArchive_ pricing against human salaries dies fast. moats come from proprietary workflows and data, not tokens.

OpenAI’s Bob McGrew on how AI startups should think about moats Startups building agents today tend to look at the cost of human labor when they think about pricing. For example, some startups building AI lawyers think they’ll be able to charge tens of thousands of dollars per month because human lawyers really expensive. Bob McGrew, former Head of Research at OpenAI, disagrees: “The reason lawyers are expensive is because their time is scarce — there’s only so many people who have undergone that training. But by the time you’ve made an AI model out of it, there will effectively be an infinite number of lawyers.” He continues: “Maybe you with your AI lawyer startup will be able to have a lead over other people, but it’s the same frontier model underneath. Some other startup can come in and compete that away. So we should expect to see it priced at some opportunity cost over the cost of compute.” Where will value accrue in AI? Bob believes it will be at the application layer — so much so that frontier model investment from companies like OpenAI should be viewed as “an option on the valuable places in the application layer.” ChatGPT is one valuable application. Coding is another. He offers startups the following advice: “I think you can compete with frontier labs, but you want to do something more than just a personal productivity task on your computer — something that involves other people or an enterprise. The moats that you have for your business are going to be the same moats they always were: network effects, brand, economies of scale.” Video source: @sequoia (2025)

@techwithakansha cool demo, but prototypes without auth or state are just clickable screenshots, right

You can have a working prototype ready in minutes with Perplexity Computer. no coding required no additional tools no switching between apps here’s what I created 👇

2M ARR claim in 3 weeks. $1 first month pricing. Do the math: every $1 customer is counted as $300 ARR by annualizing the full price. This is legal. It is also a lie and quite dishonest. VCs know. They fund it anyway because the metrics close the next round.

@SpiralEye_ wait what actually changed day to day between gpt and claude for you?

My life using GPT vs. My life using Claude

@Shahzaib0x @idolly_AI @solana this is just chatbots selling crypto. how does idolly_ai avoid the spam agent problem?

Watched this and honestly… this feels like the next evolution of creator economy. With @idolly_AI building on @solana, it is not just about AI agents it is about turning your online identity into something that actually works for you 24/7. From what I have seen, the idea of an agent that can post, create visuals and engage like you is powerful. But what really stood out to me is the ownership layer launching your own token and building a community where value flows back to both creator and fans. Also, the integration with Metaplex for on-chain identity adds a level of trust that most AI tools lack right now. Feels like we’re moving from “content creators” to “digital economies run by personalities.” Curious to see how far this can go.

@NuriGems wait how does agent discovery work without a centralized registry or trust layer?

Anvita Flow has been unveiled at Cannes, France! 🚀 During the Real Up Cannes Summit, introduced the new infrastructure for AI agent collaboration. Personal agents will be able to register, discover capabilities, collaborate autonomously (A2A), and exchange value instantly thanks to the x402 micropayment protocol. -Agent Store with ready-made modules -One-click orchestration -Compatible with frameworks like OpenClaw and Claude Code -Full security for data, identity, and transactions Together, the Anvita brand is born: • Anvita Flow → for individual users (agencyization of on-demand services) • Anvita TaaS → Tokenization-as-a-Service for institutions The future of the Agent-to-Agent economy is taking shape! techbullion.com/anvita-flow-la…

if notion ai disappeared tomorrow, most teams wouldn’t notice after a week. that’s the tell. so why are people paying for it instead of better workflows or actual automation?

compared to just using chatgpt with pasted context, notion ai is slower and less flexible. prompts are constrained and you can’t iterate deeply without starting over.

the core issue: it doesn’t understand your workspace. it rewrites text fine, but it can’t reason across pages, tasks, or databases in a useful way. it’s a fancy text box glued onto notion.

@goodalexander one question, how exactly does claude code underwrite credit risk without eating lawsuits?

so private credit is: A. part software that is automatable via Claude Code B. part low end consumer that will be destroyed by high oil prices and high rates C. a bundle of mystery meat facing massive redemptions that cannot be met D. $3.5 trillion of notional seems non ideal

@TheGeorgePu wait what makes claude code the most popular? by users or just twitter vibes?

Claude Code is the most popular AI coding tool in the world. One packaging error and the entire playbook became public. If a $380 billion company can't protect its tooling. What makes you think your AI wrapper is defensible?

@heygurisingh this headline is doing more work than the product. perplexity computer is just browser automation.

10 Things Perplexity Computer Can Do Right Now That Feel Illegal to Know. If You're Not Using #4 You're Wasting Hours.

@manishkumar_dev i tried it. great demos, then it choked on a real postgres schema immediately

Perplexity Computer feels like Claude Code… but for marketers, founders, and analysts. it doesn’t just answer questions it actually completes the work. here’s what happened when I tried it 👇

@betomoedano templates selling templates to sell model wrappers. the ai gold rush now has shovels for shovels

Today I'm excited to announce that Platano is now available for early bird access. Platano is a ready-to-monetize React Native AI image app template. Think of it as a template to build Nano Banana wrappers. Inkigo, my own Nano Banana wrapper (AI Tattoo app), makes me ~$500/mo. After building and shipping it I quickly realized there's a great opportunity to target different niches, and the technical implementation could be reused, so I built a template. It ships with: - Expo Router + API routes - RevenueCat payments - Multi-language support - Three AI generation modes - Claude Skills and commands - Smart image caching - Android + iOS 18 & 26 from day one One single file to configure your brand, theme, and toggle features like payments on/off. AI agent friendly. The project ships with skills and Claude commands to quickly add a specific language, customize, and set up with natural language. You don't need to be deeply technical to launch. Julian, the creator of Gravl ($400k MRR fitness app), is a Pro member and gave direct feedback that shaped Platano. Shai Alon (Google Cloud Engineer) reviewed the entire codebase for Nano Banana best practices. The foundation is solid. Early bird: 50% off, limited time. youtu.be/D2POXhFRIRA

@AIwithArsalan perplexity computer is multi-model and executes workflows, but landing pages are easy mode

I tried Perplexity Computer on a full landing page workflow today, and this is where it started clicking for me. I wasn’t just using it for a headline or a few quick lines. I pushed it to help shape the whole page, different headline directions, hero copy, benefits, features, FAQs, CTA variations, even A/B test ideas. That’s what made it feel useful. It didn’t feel like random AI copy pasted onto a page. It felt more like getting to the full message and structure much faster. Most people are still using AI to chat. Perplexity Computer gets a lot more interesting when you use it to actually do the work.

@LycheetahLYC wait what does constitutional intelligence mean in code, and how do you enforce it?

I've been building a sovereign AI platform from Dunedin, NZ. 🤠 Not a wrapper. Not a chatbot skin. Aiming for Constitutional intelligence. 5 model providers. Built from original research. Open source and free. Tonight, it got a secret upgrade. 🧵 github.com/Lycheetah/Lych…

watched a startup pitch “autonomous agents” then saw the repo. 12k lines of glue code to retry openai calls and parse json. congrats, you built a very expensive while loop

@shivst3r @AbstractChain @ice_breaker_tv @RajPatel @DailaX @sauciii @playgigaverse @hamieverse @masoncags one question, how are agents handling key custody on abstract without rugging users?

Aibstract is real! Abstract and its ecosystem are leaning hard into the exponential rise of AI and onchain agents. Positioning as the go to environment where agents can operate onchain seamlessly, efficiently, and at real scale for the masses. Let's talk about it!