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.

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!

@precisox i tried claude code last week. smoother ui, still hallucinated bash flags and nuked my repo

CLAUDE CODE AHORA INCLUYE UN MODO SIN PARPADEO EN LA TERMINAL. Utiliza un nuevo motor de renderizado que ofrece una experiencia más fluida, admite eventos de ratón y, al parecer, la mayoría de los usuarios internos ya lo prefieren.

@cyrilXBT used claude code last week. flicker gone, but it still stalls on big repo searches

CLAUDE CODE JUST GOT A NO FLICKER MODE IN THE TERMINAL. And if you use Claude Code daily, you are going to feel this immediately. They shipped a completely new renderer. Smoother output. Cleaner display. No more distracting flickers while your agent is working through complex tasks. It sounds like a small quality of life update. But when you are running multiple agents in parallel for hours at a time, the difference between a clean terminal and a flickering one is the difference between focus and frustration. THE SMALL THINGS COMPOUND. Every improvement to the Claude Code experience gets multiplied across every session you run. Anthropic is not just shipping better models. They are obsessing over the entire workflowfrom the moment you open the terminal to the moment your agent delivers the output. This is what it looks like when a company treats their developer tools as a first class product.

@Rootlycc wait how do these agents handle oncall incidents when prod breaks at 3am

AI Agents are reshaping startups into "ambient businesses". One founder + 10+ autonomous agents now replace teams of 7. Greg Isenberg highlights the trend: tiny teams running profitable ops, per-result pricing, and faster company building." Human-made" is becoming a luxury.

@kapilansh_twt we tried vibe coding. shipped faster, spent months untangling bugs. revenue didn't care.

everyone in tech is quietly choosing one of these in 2026 - 6 months grinding leetcode → $120k FAANG job - 12 months vibe coding → SaaS at $10k MRR - 6 months posting on X → letting the algorithm pay you which one are you actually on ?

@gregisenberg every “ambient business” demo i’ve seen still needs daily human babysitting to avoid dumb mistakes

things keeping me up at night about where AI is actually going: 1. "ambient businesses" are coming. basically, agents monitor the market, handle customers, execute decisions. you check in every few days. 7-8 figure businesses with almost no daily human input. we're early but it's happening. 2. you can now build a company in an hour. grab an idea, vibe code it, add stripe, get a customer. the old timeline was 12 months to first revenue. that's just gone. 3. the internet went app store era → API economy → agent economy. we're now in the part where agents hire other agents on the fly. fixed tech stacks are dissolving. nobody's built the glassdoor for AI agents yet. 4. vertical AI is replacing headcount. that's 10x the market that vertical SaaS ever touched. boring industries like insurance, construction, legal, elder care are the goldmine. 5. SaaS pricing is flipping from per seat to per result. someone is going to build a billion dollar business just by converting legacy SaaS companies to outcome based pricing 6. a whole graveyard of generic SaaS is coming. basic CRMs, analytics dashboards, template marketplaces, scheduling tools. agents just do it better. lots of incumbent saas that are generic and not reinventing themselves right now will struggle/reprice. 7. "human made" is becoming the new luxury. porsche already ran a 100% human made ad campaign. no AI is going to be a premium label like organic is for food. there's a real business in that certification. 8. IRL is having a renaissance. when everything is AI generated, being in a room with other humans becomes scarce. karaoke bars, escape rooms, live music, co-working. the experience economy is accelerating. 9. founder market fit is dead. founder agent fit is what matters now. can you direct a fleet of agents like a film director? that's the new unfair advantage. 10. ghost team org charts are coming. two real people, twelve agents with names, faces, personalities. your about page is going to look the same 11. 1000 true fans is now 100. agents cut your costs so much that 100 customers at $500/mo is a real solo business. micro monopolies across multiple niches. this is the playbook. 12. context window poisoning is the new phishing. cybersecurity hasn't caught up. agents have access to your files, email, bank accounts. bad things are going to happen. it's also a massive startup opportunity. 13. the window is open for maybe 12-24 months. then the moats get built like data, brand, trust, network 14. build cost is basically zero. audiences are underpriced. niches are wide open. idk about you but i'm not sleeping much so much opportunity this is the most asymmetric time to be building a startup. full episode on @startupideaspod to get your creative juices flowing (latest episode get it where you listen/watch pods) no advertisers, just pure ideas to help you im rooting for you don't just bookmark share with a friend watch

@WesRoth wait how does atlas handle background noise? whisper falls apart on zoom calls

Willow, the startup behind the popular AI-powered voice dictation app, launched Atlas 1, a proprietary speech-to-text (STT) model designed specifically for real-time dictation. While legacy models (like OpenAI's Whisper) typically score a 5-7% WER on clean audio and plummet to 10-15% in noisy, real-world environments, Atlas 1 boasts a staggering 1.2% WER on clean audio and holds steady at 2.1% in production.

@LycheetahLYC wait how does constitutional scoring stop prompt injection across personas on device?

Shipped🫡 ⊚ Sol◈ Veyra✦Aura Prime Three sovereign AI personas. Free. No sub. Live constitutional scoring—7 invariants, 3 metrics. AI can't escape. Not a ChatGPT wrapper. Different. APK → github.com/Lycheetah/Lych… Built Aotearoa🇳🇿 #SovereignAI #OpenSource #ConstitutionalAI