Gerard Chiva

I spent months picking KDP niches blindly. So I built a tool that uses real Amazon data to tell you what works — before you publish. This is @KDPNicheHunter in 90 seconds 👇 7 days free, no credit card → kdpnichehunter.com

El titular del siglo, y probablemente del milenio

Life without HR at your company.

El que resuelva este problema se llena de guita, lo tiro: Las empresas con +5 años estamos presos de SaaS obsoletas y carísimas, que sobreviven impidiéndote migrar. Ej. en @firmaway contratamos Typeform hace 4 años porque era el único que hacía formularios facheros. En todo ese tiempo construimos un montón de flujos dentro de la herramienta, incrustamos sus formularios en lugares, etc. Pero ahora están subiendo el precio a $79/mes. Por una herramienta de formularios (!!!) es directamente delirante. Más aún existiendo alternativas open source que son mejores. > "Pero entonces contratá otro" NO PUEDO. Porque eso implicaría volver a construir desde cero todos los flujos e incrustar nuevamente todos los formularios. Una paja tremenda. La hago corta, se las dejo servida: 1. Haces una auditoría de las suscripciones que paga una empresa. 2. Calculas cuánto podría ahorrarse migrando a alternativas más baratas u open source. 3. Armás agentes que documenten todos los flujos que ya tienen construidos. 4. Los construís por ellos en la nueva herramienta. 5. Te pagan felices el 50% de lo que se ahorran el primer año con todas esas suscripciones. Les puedo asegurar que no son cientos, sino MILES de dólares cuando se trata de una empresa como la mía. Así que ahí se las dejo. Vayan, hagan guita.

Adidas lanzó un corto de 5 minutos protagonizado por Timothée Chalamet donde recluta a Bellingham, Yamal y Trinity Rodman para vencer a un equipo de fútbol callejero y efectivamente es cine. Messi, Zidane, Beckham, Del Piero, Bad Bunny… denle el Oscar.

When you move an image on Microsoft word

everybody calm down. i got this.

Effective today, we are: 1) Doubling Claude Code’s 5-hour rate limits for Pro, Max, and Team plans; 2) Removing the peak hours limit reduction on Claude Code for Pro and Max plans; and 3) Substantially raising our API rate limits for Opus models.

Claude will gaslight you, until you install this skill. It's called The LLM Council. You ask a question. 5 advisors attack it from different angles. Then they peer-review each other before giving you the verdict. How it works: 1. You ask a real decision question. 2. 5 advisors attack it from different angles. 3. They grade each other's work anonymously. 4. Chairman synthesises one verdict and the next step. Install in 4 steps: 1. Download the skill drive.google.com/file/d/16N7dwX… 2. Open Customise skills in Claude 3. Upload the SKILL.md file 4. Type /llm-council One Claude tells you you're right. Five Claudes show you where you're wrong. Get more free AI guides here charliehills.substack.com Repost ♻️ to help someone in your network. P.S. Credit to Ole Lehmann for building it.

🚨 BREAKING: Wiz Research discovered Remote Code Execution on GitHub.com with a single git push The flaw in @github allowed unauthorized access to millions of repositories belonging to other users and organizations 🤯

USING Claude Opus 4.7 TO CENTER A DIV

ANTHROPIC JUST BANNED A 110 PERSON COMPANY OVERNIGHT WITHOUT WARNING monday morning at an agricultural tech company, every single employee wakes up to an email saying their claude account has been suspended 110 people locked out at the same time with zero warning and the email even pretended it was an individual ban with a link to a personal appeal form it took them 10 minutes on slack to realize the entire org had been wiped at once. not even the account admins were told it was coming they submitted the appeal form and got no response, even after 36 hours later there was still nothing AND it gets worse: > their separate API account is still active and still billing them > their admins can't log in to view usage or billing because the email addresses are banned > they got hit with a renewal invoice the day AFTER the team account was suspended > they have no idea what triggered it. fertilizer conversations? GPS satellites? agriculture in general? so they're paying anthropic to get banned by anthropic while anthropic ignores their support tickets the founder of the company laid out the bigger problem perfectly banning an entire organization for one user's behavior means a single employee or careless intern can revoke claude access for your whole business. there's no per seat guardrail, no admin override, no way to limit the ban radius his words: "you have to ask yourself if this is a platform you can entrust your daily workflows to as a business" every founder reading this who runs claude through their company should be checking right now what their actual exposure looks like billion dollar AI company with zero enterprise customer support

GitHub outages since Microsoft acquisition 🤣

A terrible incident coming from an infra provider. This is not an outage resulting in downtime, or data lost on the cloud (that is trivial to restore from local git.) It’s a data integrity issue, which sounds hard and difficult to untangle by anyone hit by it. A real WTH moment

⚡️This is the collapse of visual reality as a social contract. For the internet age, video was the final court of appeal. Text could be faked. Photos could be edited. Accounts could be bots. But a moving face holding an ID still felt like reality breaking through the screen. That layer is now being eaten. The clip matters because the machine is no longer generating “content.” It is generating the entire trust performance: face, room, gesture, lighting, document, confidence, micro-expression, normalness. That is the terrifying part. The fake does not need to look perfect. It only needs to look socially plausible for two seconds inside a verification flow, a dating app, a support call, a banking process, a hiring screen, or a viral post. This turns identity into theater. Once identity becomes theater, every institution has to retreat from “seeing” to “verifying.” The face stops being proof. The document stops being proof. The video stops being proof. Trust migrates into backend rails: issuer databases, device signatures, cryptographic credentials, platform reputation, biometric history, payment trails, network graphs, and eventually state-backed digital identity. That is the trap. AI destroys soft human trust, then hard institutional trust fills the vacuum. The same technology that lets anyone create a fake person also gives governments, banks, and platforms the justification to demand stronger identity controls from everyone. More verification. More gatekeeping. More surveillance. More dependence on whoever controls the proof layer. The deeper civilizational shift is that the human face is being separated from the human being. For all of history, the face carried presence. Recognition. Accountability. Intimacy. Reputation. Now the face becomes an interface object. Renderable, transferable, improvable, disposable. That breaks something ancient. The next internet will split into two worlds: synthetic abundance and verified scarcity. Endless fake humans on one side. Expensive proof of real personhood on the other. The poor and anonymous will be treated as suspect by default. The powerful will live behind authenticated rails. The open internet becomes a mask carnival. The serious internet becomes a checkpoint. Deepest truth: this is the beginning of the end of naive digital personhood. A screen can no longer tell you who is real. A face can no longer settle the question. A document can no longer settle the question. Reality is moving behind the interface. The new scarce asset is proof that a real person is standing behind the signal.

This is why RAM is so expensive:

This is how I've published 30+ books on Amazon KDP. Not by writing faster. By choosing better. If you want to try the same workflow: → Start with scored keyword data at kdpnichehunter.com — free for 7 days, no credit card → Follow @KDPNicheHunter for weekly niche data and publishing strategies The publishers who win in 2026 aren't the ones who write the most books. They're the ones who pick the right ones to write.

What comes back is a set of validated angles I can evaluate before writing a single word. Not a generic book idea. A specific positioning in a specific niche backed by real data. The discovery phase is where 90% of publishers fail. They pick a topic by gut feeling, write the book, publish it, and wonder why nobody buys it. Data first. Book second. That's the whole game.

Amazon KDP is drowning in AI-generated slop. Thousands of books published every day that nobody will ever buy. But the publishers making real money right now? They're using AI too. Just not the way you think. Here's my exact workflow 🧵