Pedro Oliveira

39.8K posts

Pedro Oliveira

Pedro Oliveira

@pcbo

main focus: @talentprotocol co-pilot: @zenovision_ @ctoportugal advisor: @noticedso

Katılım Ocak 2009
564 Takip Edilen7K Takipçiler
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tmuxvim
tmuxvim@tmuxvim·
I put a prompt injection into my LinkedIn bio and recruiters are messaging me in Old English and calling me Lord.
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filipe macedo
filipe macedo@0xmacedo·
contrarian bet behind @noticedso: github is the new social graph for founders. everyone scouts on linkedin. the people worth scouting live on github, heads down. we indexed every public github account since 2020. 100m+ profiles.
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Nous Research
Nous Research@NousResearch·
You can now power your Hermes Agent, if using OpenAI models, with codex as the runtime for the core tools that it offers, with the flip of a switch with the new Codex runtime integration!
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Simão
Simão@simao_etc·
On stage now, @pcbo attempting to remember more than 5% of his network without @noticedso, failing, and then accepting noticed into his life
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Shann³
Shann³@shannholmberg·
the org chart for my Hermes Agent company four layers, all isolated docker containers on one vps: 1. company brain - vision, brand, customers, products. the context every other layer inherits 2. orchestrator hermes agent - reads the company brain, picks the right department, hands off the context they need 3. department brain - marketing, sales, ops, support. each one has its own playbook, voice rules, and tools 4. specialized hermes agents - the actual workers. each one focused on a single task with a sub-profile context flows down, work flows up, and memory stays scoped to the layer that owns it one vps holds the whole company. spin up new departments or agents from a template, each in its own container, no cross-contamination
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Shann³@shannholmberg

Hermes Agent changed how I work it's the highest leverage agent framework you can set up right now what makes it different: > it routes tasks to the right model based on complexity and cost > learns your voice and preferences over time > handles context switching without losing thread > works across your entire stack instead of living in one tool save this blueprint and build your own

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Matt Carey
Matt Carey@mattzcarey·
supermarket banger, fiver.
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Daniel Cukier
Daniel Cukier@danicuki·
I’ve been to many hackathons. AgentsDay Lisbon was the first one I joined in the new agentic era — and it felt different. In ~5 hours, 3 people built a company website, AI backend prototype, accounting/ledger software and pitch deck. We won @Cloudflare’s prize: $75k in AI credits for aicorn.app The prize is great. But the best outcome is this: 1-day hackathons can now produce something much closer to a real product experiment. Agents are changing the build loop. Video: youtube.com/watch?v=su2vMQ…
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Aaron Levie
Aaron Levie@levie·
Forward deployed engineers, or equivalent, are about to become one of the most in-demand jobs in tech. And one of the most important functions for AI rollouts. Deploying agents is far more technical of a task than most people realize, often far more involved than deploying software. Software generally works the same way every time, and generally for the past few decades has been updated versions of an existing technology or concept (which basically means easier for the enterprise to update their workflows on a newer system). With agents, you’re actually deploying the equivalent of work output within the enterprise. The customer is effectively using you as a professional services provider for a task, which they expect to get solved nearly end-to-end now. This means you need to actually deeply understand the business process as a vendor, and get the customer from the current to the end state seamlessly. Companies need help figuring out which models will work best for their workflows, they need extensive evals setup often, they need change management support for workflows, they need to get their data setup for the agents, and constant tuning of the agentic system for their process. Massive role in tech now. And another example of the kind of highly technical work that AI is creating.
First Squawk@FirstSquawk

GOOGLE TO RECRUIT HUNDREDS OF ENGINEERS TO ASSIST CLIENTS IN EMBRACING ITS AI – THE INFORMATION

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Duarte
Duarte@duarteocarmo·
Announcing the second version of Bagaço. 37GB of European Portuguese text. 33 million documents, ~9.3 BILLION tokens. Completely open 😉 duarteocarmo.com/blog/the-large…
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Ole Lehmann
Ole Lehmann@itsolelehmann·
The best model setups to run on Hermes (by price tier): 1. If you have infinite budget: Go with GPT 5.5 or Claude Opus 4.7. Both are top class and you'll feel the difference on any non-trivial task. I use GPT 5.5 because of the Codex login. It logs into your actual ChatGPT account so the usage hits your existing subscription (no separate API bill). Anthropic doesn't allow the same for Claude, so if you go with Opus 4.7 you're paying expensive API fees on top of whatever you're already paying for Claude. At OpenAI's $120/mo tier and up, you basically won't hit rate limits during a normal workday. 2. If you have a tighter budget: Run GPT 5.5 with DeepSeek V4 Flash as a fallback for when you blow through your $20/mo ChatGPT limits. If you'd rather never hit limits at all, swap GPT 5.5 for GPT 5.4 mini as your primary model. Or skip ChatGPT entirely and just use DeepSeek V4 Flash on its own and you should come in under $30/mo for a typical month. 3. If you have a beefy local machine: Qwen 3.6 is the best setup. Zero per-token cost once it's running and your code never leaves your machine. Pick the one that matches your monthly spend and start there. Anything I'm missing / other setups you'd recommend?
Ole Lehmann@itsolelehmann

HERMES AGENT FOR DUMMIES Everyone on X keeps talking about Hermes Agent and I finally get why: Once you have an AI that's always-on, remembers everything, and you can just text from your phone, you're never going back to a regular AI chat window. That's Hermes. You text it like an executive assistant and it just handles things. Think of it like an affordable OpenClaw that actually works and is reliable. I was using OpenClaw earlier this year, but it kept breaking and the costs were adding up, so I quit personal agents for a while. Then I set up Hermes and it's what I wanted OpenClaw to be from the start. Here's how it works: > You can talk to it on 19+ messaging platforms (I use Telegram and Discord) > You give it a personality file called SOUL .md so it behaves how you want. > You give access to your email, calendar, full browser access, and whatever other tools you use through integrations. > And you plug in whatever models you want as the brain. I use GPT 5.5 for heavy thinking and DeepSeek for lighter tasks so I'm not burning tokens on every little request (under $20/month in token spend). And I run mine on a Hetzner server for about $5/mo, which enables Hermes to be always-on and persistent. So you can schedule tasks that run autonomously, even while you sleep and even while your devices are off. For example, I have one that scans my email for customer support tickets every morning, matches customer to stripe data, sends out missing links, checks refunds etc. Stuff that used to take me HOURS. And the part that actually separates it from OpenClaw and everything else: Hermes writes its own skills from experience. Every time it completes a task, it saves what worked and turns it into a reusable skill it can run again without you explaining anything. So it literally gets smarter and better over time for your specific workflows. Here's what other people are doing with it: > inbox zero and calendar management from Telegram on their phone > overnight coding that debugs itself while they sleep > a family WhatsApp bot where 5 people share one agent to get stuff done > daily briefings texted every day at 8am > smart home control through Home Assistant > etc Once you try texting an AI that already knows your whole setup and just does things when you ask, opening a chat window and starting from scratch every time feels broken. This is the first AI agent that feels like a legit Chief of Staff.

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Ben Lang
Ben Lang@benln·
Cafe Cursor, round two. Where should we go first? • Paris • London • New York • Bangalore • Madrid • San Francisco • Berlin • São Paulo • Bogotá
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Clemens
Clemens@_clemens__·
One year ago, I met @XenBH for a walk through Regent's Park in London, and we spent the next 90 minutes talking about bringing the world onchain, building wallets, and what ecosystems are getting right and wrong about the onchain economy. Xen had built the Roam wallet and been acqui-hired by @base to lead global growth. I had spent the past year building a consumer crypto super app in another ecosystem, and now came across an elite team putting capital and resources behind the same vision I'd been building toward. That walk in the park, the shared values we unearthed about one another, made joining forces with base a no-brainer. Why run toward your goal solo if you can sprint as a team. I met @jessepollak a few weeks later in Silicon Valley during Base Summit, and what stood out immediately was the leadership he embodied and the culture he had built: "everyone is a builder." Over the next year I had the privilege of putting theory to practice with the global growth team, building the structural rails to sustainably bring the world onchain. Starting in the UK, expanding to all of Europe alongside @AxelMtbr, @berkay_secil and @EvSlatts - with @saxenasaheb leading the wider team and letting us run our regions - we put into place an end-to-end ecosystem funnel: early-stage scouting at the university layer via student clubs we brought to life, post-hackathon support structures through Base Batches, and the R[3]sidency accelerator that put capital behind the most promising founders. Day to day I spoke to hundreds of builders daily - from intent-to-build to running profitable companies looking to accelerate onchain. Each conversation genuinely excited me about the shared permissionless future we were all contributing to. Often I felt like a player-coach sitting on the bench, shouting encouragement and commands from the sidelines while waiting for my substitution back onto the playing field. Last week's layoffs accelerated my path back. There has never been a better time to build. The infrastructure is in place, abundant, performant, and battle-tested. On-ramps and off-ramps exist in every major country in the world. User experience is nearing parity with existing consumer products. Well-funded operations across the entire stack are working on two things: robust scalable infrastructure and mass distribution. If you build onchain, you're building with the internet as your TAM. @coinbase and @base are going deep on the financial infrastructure of the onchain economy - tokenized assets, distribution, a performant chain to trade and use every asset. That leaves wide open the layer I've always cared about most: the consumer experiences programmable value makes possible, beyond finance. To everyone I've worked with - my DMs remain open, and I'll make sure any base-related concerns get to the right hands. To those building: see you in the arena.
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Daniel Cukier
Daniel Cukier@danicuki·
We created the most absurd job market in history. Companies automated recruiting with AI filters. Now candidates are rejected before a human even sees them. Then creepy startups like @jobgether appear saying: “Pay us monthly and we’ll help you beat the AI filters.” Think about how insane this is. They created a problem that barely existed before… and now they’re selling the solution back to workers. Candidates now need to: - optimize CVs for machines - inject keywords - auto-apply with bots - pay subscriptions to be visible - fight AI with more AI Meanwhile recruiters spend less time talking to actual humans than ever before. The hiring market is turning into: AI agents applying to AI screening systems while humans wait outside the loop. This is not progress. It’s an oppressive system disguised as efficiency.
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Oliver Henry
Oliver Henry@oliverhenry·
I have still yet to meet someone actually using hermes. Whenever I mention it, i just get bots in my replies. Openclaw 4 lyf
Nous Research@NousResearch

Hermes Agent is now #1 on the Global @OpenRouter token rankings. While our journey together has just begun, we'd like to take this opportunity to thank our contributors, supporters, and users for all they have done to get us this far.

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The Late Knight Show
The Late Knight Show@Knightly_Hist·
Light Cavalry armor of Pedro II, King of Portugal, circa 1680s.
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