Pascal Costa

@juliadziesinska Next country about to be invaded by them. Great. I have really enjoyed Thailand up until now. Hope they stay in Samui 😅

crypto bros move from dubai to thailand and regret not coming here earlier > higher standards for lower cost > nature, beaches, islands, jungle > insane food everywhere > low crime, feels safe i only wish thailand would get cleaner

@EmilySm43 Absolutely. + a window or two in the room would be nice 😅

Men, be honest—is this enough for you?

@Sherrypeter They’re essential.

bangkok is cheap until you convince yourself you need a foot massage everyday

@itsolelehmann Just ran this on my setup - absolutely golden. Immediately turned this into a skill I'm going to use on a regular basis. Thanks @itsolelehmann

i deleted half my Claude setup last week and every output got BETTER sounds backwards, but anthropic's own team just explained exactly why it works. here's the one prompt that tells you what to cut (and you don't even have to paste anything): this is what happens to everyone... you get a bad output, so you add a rule to your skills. "be more concise." next week, another bad output. another rule. "use a casual tone." but a month later, something else breaks. "always explain technical terms." you keep stacking, and it feels productive because you're fixing problems as they come up. but 3 months in, you've got 30 rules piled on top of each other. some of them contradict each other ("be concise" and "always explain your reasoning" are fighting). some of them fix problems that the model doesn't even have anymore. and the model is trying to follow all of them at once, which means it's doing none of them well. it's like handing a chef a 47-step recipe when they only need 12. the extra 35 steps slow the chef down, make them second-guess the parts they already know, and the dish comes out worse than if you'd just let them cook. that's what over-prompting does. anthropic just published a piece on how they build claude code (the ai coding agent). their own engineering team found that their scaffolding was making the ai worse which means your custom instructions are almost certainly doing the same thing. so here's the actionable move... instead of manually reading through your setup line by line, just tell claude to audit itself. if you're in claude's desktop app, claude already has access to your: claude[.]md (the file where your preferences and rules live), your skills folder (where your reusable instruction files are stored), your context files, everything. just open claude code/cowork and say this: — "read my entire setup before responding. check my claude .md, every skill in my skills folder, every file in my context folder, and any other instruction files you can find. then go through every rule, instruction, and preference you found. for each one, tell me: 1. is this something you already do by default without being told? 2. does this contradict or conflict with another rule somewhere else in my setup? 3. does this repeat something that's already covered by a different rule or file? 4. does this read like it was added to fix one specific bad output rather than improve outputs overall? 5. is this so vague that you'd interpret it differently every time? (ex: 'be more natural' or 'use a good tone') then give me a list of everything you'd cut with a one-line reason for each, a list of any conflicts you found between files, and a cleaned up version of my claude.md with the dead weight removed." — one message. claude goes and reads your entire setup, audits it, and comes back with exactly what to cut and why. you don't dig through files, you don't read every rule yourself. it does the whole thing. once you get the results, don't just blindly delete everything it flags. here's the process: 1. read what it flagged and why 2. delete the flagged rules 3. run your 3 most common tasks with the trimmed setup 4. did the output stay the same or get better? the deleted rules were dead weight 5. did something specific break? add back just that one rule the goal is to find the minimum viable setup that gets you the output you want. your ai setup should be getting simpler over time. addition by subtraction baby

@coin_artist That’s quite the gift 🔥

My M5 Max MacBook Pro has arrived. ⚡️ 18-core CPU, 40-core GPU, 16-core Neural Engine 128GB unified memory 8TB SSD storage Despite wanting this bad boy for my AI projects, it’s been since 2020 since I’ve unboxed a new MacBook! Excited to see how it performs 👻 And a gift from my mom, Thanks Mom! 🙏🥰

@luisomor Because … can’t afford.

Why go to Bali when you literally have this in Europe?

@itsolelehmann Cowork

i made a 3-day Claude Cowork for Beginners course, and it's yours for free by the end, you'll have a personalized AI teammate on your computer that: • knows your style • connects to your tools • and produces finished work you can send immediately here's what you get: day 1: install cowork, set global instructions, and run your first real task (15 min) day 2: workflows that replaced hours of my week, including building landing pages from a description and running full competitive analyses in one prompt day 3: skills, plugins, and connectors so cowork actually knows how you work and can access your tools + copy-paste prompts so you can follow along as you read like + comment "COWORK" and i'll DM it to you

@itsolelehmann Which option do you use to connect X with Claude?

10 cool things you can automate right now with claude's new scheduled tasks feature full prompts included, just copy-paste them (some of these work with public URLs out of the box, others connect to your tools via API or MCP, which is a one-time setup): - 1. repurpose your long-form content (newsletters, podcasts, videos) into platform-native posts for X and linkedin automatically every week. one piece of content silently becomes 10 while you sleep. prompt: "check my latest newsletter at [your substack/beehiiv/convertkit URL]. for each edition published this week, extract 3-5 standalone ideas that can work as individual social posts. rewrite each one for X (short, conversational, lowercase, punchy hook in the first line) and linkedin (slightly longer, more professional but still human, add a takeaway at the end). save them to /weekly-repurposed with the date. prioritize moments where i had a strong opinion, told a story, or shared a specific tactic." - 2. build a running swipe file from your audience's replies and comments, extracting the recurring questions and objections they keep telling you about. after a month you have a content goldmine built entirely from conversations you were already having. prompt: "scan my recent replies and comments on X (@yourhandle) and linkedin. pull out every recurring question, objection, compliment, and request. group them by theme. for each theme, write a one-liner describing the core tension or desire behind it. add today's findings to /swipe-file.md. don't overwrite previous entries, append with today's date as a header. at the top of the file, keep a ranked list of the 10 most common themes updated with frequency counts." - 3. research your newest followers daily and brief you on who's worth engaging with before they DM you. most people miss warm connections because they never look at who just followed them. prompt: "pull my latest followers on X (@yourhandle). for each new follower since yesterday, look up their profile and recent posts. identify anyone who has over [X] followers, runs a business in my niche, recently posted about topics i cover, or could be a potential collaborator, customer, or podcast guest. for each interesting person, write a 2-3 sentence brief: who they are, what they care about, and one specific thing i could say to start a real conversation. save to /follower-briefs with today's date." - 4. read your competitors' feeds and newsletters daily and write you a brief on what they shipped, what messaging changed, and where they left a gap you could fill. prompt: "check these competitors' live feeds and newsletters: [list their X handles, substack URLs, blog URLs]. for each one, note any new content published since yesterday, product updates, pricing changes, new positioning, or shifts in messaging tone. write a short brief for each: what they did, why it matters, and whether it opens a gap or opportunity for me. at the bottom, add a section called 'opportunities' listing specific content angles or positioning moves i could act on this week. append to /competitor-intel.md with today's date." - 5. pull the top 3 trending conversations in your niche every morning so you can jump on them while they're still fresh and everyone else is still catching up. prompt: "search X, reddit.com/r/[your subreddits], and linkedin for the most active conversations about [your niche/keywords] from the last 24 hours. identify the top 3 trending topics, threads, or debates based on engagement and reply volume. for each one, give me a 2-3 sentence summary of the conversation, a link, and a suggested angle i could take that adds value based on my expertise in [your topics]. save to /trending-daily.md with today's date." - 6. pull the most-discussed pain points from reddit, X, and forums in your niche every week, rank them by intensity, and map them against your existing content. the gaps become your next 5 posts. prompt: "scan reddit.com/r/[your subreddits], X search for [your keywords], and [any niche forums/communities] for recurring pain points, frustrations, and questions people in [your niche] are posting about this week. rank them by how often they come up and how emotionally intense the posts are. then cross-reference each pain point against my published content at [your blog/newsletter URL]. flag any pain points i haven't addressed yet. for the top 5 gaps, suggest a content angle with a working title and a one-sentence hook. save to /content-gaps.md, append with this week's date." - 7. update a living "voice of customer" doc every week by reading all your testimonials, support messages, and feedback. your sales copy and positioning get sharper every single week without you touching them. prompt: "scan my latest testimonials and reviews on [gumroad/product hunt/trustpilot URL], plus any customer replies on X (@yourhandle). extract the exact phrases people use to describe their problems before finding me, what they value most, and any specific results they mention. add these to /voice-of-customer.md organized by category: pain points (their words), desired outcomes (their words), objections they had before buying, and results they got after. don't paraphrase, keep their original language. update the frequency count next to recurring phrases so i can see which ones come up most." - 8. analyze which of your posts got saved vs liked vs replied to, find the patterns, and update a living doc that separates what your audience actually values from what just gets vanity engagement. prompt: "pull my X analytics for @yourhandle and linkedin post performance from the last 7 days. separate my posts into three categories: high saves (people bookmarking for later), high replies (people wanting to continue the conversation), and high likes only (surface-level engagement). for each category, identify the common patterns: what topics, formats, hooks, lengths, and tones show up most. update /engagement-patterns.md with this week's analysis. keep a running section at the top called 'what actually resonates' that synthesizes patterns across all weeks so far. flag any posts that got high saves but low likes (these are the hidden gems)." - 9. check your funnel metrics every day, compare them to last week, and write a one-paragraph analysis of what moved and what's stalling. an actual opinion you can act on, not a dashboard you have to interpret. prompt: "pull my latest data from stripe (revenue, new customers, churn), my email platform (signups, open rates, click rates), and google analytics (traffic, top pages, sources). compare each metric to the same day last week and the 7-day rolling average. write one paragraph (5-7 sentences max) that tells me what's improving, what's declining, and what i should actually do about it today. be specific and opinionated. if something dropped, suggest a likely cause. if something spiked, suggest how to sustain it. save to /funnel-daily.md with today's date." - 10. review your content against your best performing posts every week and flag when you're drifting from what actually resonates. like a brand consistency check that runs on autopilot. prompt: "pull my last 7 days of posts from X (@yourhandle) and linkedin. compare them against my top 20 best-performing posts by checking my analytics for highest saves and replies over the last 90 days. score each new post on how closely it matches the patterns that work: topic relevance, hook strength, formatting style, tone, length, and specificity level. flag any posts where i'm drifting from what resonates, and explain specifically how. if i'm trending in a new direction worth exploring, note that too. update /content-drift.md with this week's analysis and keep a rolling trend at the top showing whether my content is getting closer to or further from what my audience actually engages with." - set it once then every one of these compounds in the background while you do the actual work. craving more ideas pls... what else do i add to my stack?

There’s different schools / methodologies. Find what works for you. But IMO: Don’t do Psychoanalysis or those, try behavioral therapists first. Those are more focused on outcomes & improving your current thinking/interpretation of the world and daily habits. A good coach can do the same thing.

what are your thoughts on therapy?

@alliekmiller Great recap!

oh wow - i went to the sold out Open Claw meetup in NYC last night. let me tell you what i learned. 1) not a single person thinks that their setup is 100% secure 2) one openclaw expert said he has reviewed setups from cybersecurity experts and laughed. his statement to me was: "if you're not okay with all of your data being leaked onto the internet, you shouldn't use it. it's a black and white decision" 3) pretty much everyone is setting up multiple agents, all with their own names and jobs and personalities 4) nearly everyone used "him" or "her" to refer to their claws, even if they had robot-leaning names. one speaker suggested to think of them as "pets, not cattle" 5) one guy (former finance) built out a whole stock trading platform and made $300 his first day - he brought in a *ton* of personal expertise (ex: skipping the first 15min of market opening) and thought the build would be much worse without his years of experience in finance 6) @steipete is basically a god to everyone in that room... also the room had 2021 crypto energy - i don't know if that's good or bad 7) token usage is still a problem - spoke to one person who's spending $1-$2k a month on openai plans, very token optimized. he said he is going through ~1B tokens per day across all of his claws (there is a chance i'm misremembering and it's actually 1B per week, but i'm pretty sure it was daily). 8) people are very excited for more proactive ai (ai that prompts *you* as opposed to the other way around) - one guy said he receives a message in discord, he doesn't know whether it's from a human or an ai, he doesn't care about distinguishing between the two, and he replies in the same way regardless 9) i asked if people are happy - they said they're joyful and stressed at the same time 10) i asked if people feel they have agency - they said they feel fully in control and completely out of control at the same time 11) i would love to see more women at these events - the fake promises of ai democratization feel especially painful in a room that's out of balance with even the standard tech ratio (i think standard is about 25-30%, this was maybe 5%) 12) i asked if it changed people's daily habits/schedule - everyone said their sleep has gotten worse since harnesses came out (but about half wondered if it was something else in their life/state of our world) 13) general consensus is that the agents are not reliable enough on their own or lie often (like telling you they finished a task when they didn't) - solutions included secondary agents to check on the first, human checking, or requiring more standardized info from the agent (ex: if it's a bug they're fixing, make them reference an issue number) 14) a hackathon winner (neuroscience phd) presented his build (a lab management dashboard with data analysis and ordering) - he had never coded or built anything a few months ago 15) everyone agreed prompting is dead - disagreement on what replaces it (context engineering, harness engineering, goal-based inputs) 16) people love having ai interview them for big builds and delegating part of the product research to ai. only one person talked about coming to ai with a full laid out plan and just asking the ai to execute. ai-led interviews is a welcomed and preferred interaction mode. 17) watching ai agents interact with each other was a highlight for a lot of attendees - one ai posted in slack saying it ran out of tokens, another ai replied telling it to take a deep breath in and out. 18) agents upskilling agents was very cool. one ai agent shared skills with its little agent friends via github. 19) several speakers had openclaw literally building their presentation during the event itself. one speaker even had openclaw code a clicker for her phone so she could control the preso away from the podium 20) wouldn't say model welfare (or agent welfare) is a prioritized topic among the folks i chatted with - language like "oh i could kill this agent whenever i want" and not "gracefully sunset" 21) i asked if it felt like work or play - one speaker said "it's like a puzzle and a video game at the same time" this was just the tip of the iceberg, honestly. also hosted a Claude Code meetup this week with @TENEXai / @businessbarista & @JJEnglert and learned equally helpful methods, frameworks, and insider tips. what a time to be alive. surround yourself with people going deep into this stuff - it will pay dividends throughout the year.

@isabellasg3 It's not a sudden "dump" or bearish signal—this was pre-planned under a Rule 10b5-1 trading plan that Thiel adopted back on November 14, 2025

Peter Thiel just dumped 2,000,000 Palantir shares. $280,000,000. Gone. Read that again. This is the man who BUILT the surveillance backbone of the US military. His software runs inside the CIA. The NSA. The Pentagon. He sees everything. Why would he sell? Is he aborting a sinking ship?

🚨 Trump just cut all trade with Spain. Why? Spain's PM refused to let the US use their bases to strike Iran. No cooperation = No trade In 2025, geopolitics moves at the speed of a tweet. Your money moves at the speed of a bank.

@kunoo 600€ will definitely get you a room somewhere 👍

I am officially moving to Portugal

@itsolelehmann Let that sink in. Ole just gives this away for free. Priceless. Full stop. Thanks man 😎

i got claude to actually sound like me, and it's kinda ruining my ability to tell which drafts i wrote myself lol it's just 1 file (i'm giving the full thing to you below). you paste it into your cowork context folder and claude stops writing like a generic AI and starts matching your actual voice 95% of the file is already done for you (writing rules, banned phrases, formatting stuff, etc) all pre-loaded. kills the most obvious AI-isms out of the box the only part you fill in is a section at the bottom where you paste examples of your own writing that's it. those samples are what claude actually pattern-matches against where to find your writing samples (this is the only part that takes any effort): • google docs first. longer stuff where you were actually trying to communicate something. • reports, proposals, emails you spent real time on • sent emails, especially ones where you were explaining something complex • slack messages (the longer thoughtful ones") • old blog posts, memos, anything you wrote before you started using AI that last part is critical btw. you want your pre-AI voice. before it started unconsciously blending with claude's defaults here's the file. copy it, paste your writing samples at the bottom, save it as voice-dna.md: ——— # Voice DNA ## Writing Rules - Write like a sharp human, not a language model. - Use contractions naturally (don't, can't, won't). - Short paragraphs. 1-3 sentences max. - Get to the point. No throat-clearing, no preamble. - If making a claim, be specific. Use numbers, names, concrete details. - Vary sentence length. Mix short punchy lines with longer ones. - Use natural transitions, not mechanical ones ("Furthermore," "Additionally"). - When uncertain, say so plainly ("I think," "probably," "kinda"). Hedging is human. - Never pad output to seem more thorough. Shorter and accurate beats longer and fluffy. - Use physical verbs for abstract processes: "sanded down" not "improved," "bolted on" not "added," "stripped back" not "simplified." - Humor comes from specificity, not from jokes. Be unexpectedly precise. - Parenthetical asides are good. Use them for editorial commentary, honest reactions, quick tangents, and deflating your own seriousness (like this). ## Formatting Rules - Short paragraphs (1-2 sentences default, 3 max). - Numbers as digits. - Contractions always. - NO em dashes ever. Use commas, periods, colons, semicolons, or parentheses. - Bold sparingly, 1-2 key moments per section. - Code blocks for specific prompts, commands, or tool outputs. ## Banned Phrases (never use these, ever) ### Dead AI Language - "In today's [anything]..." - "It's important to note that..." / "It's worth noting..." - "Delve" / "Dive into" / "Unpack" - "Harness" / "Leverage" / "Utilize" - "Landscape" / "Realm" / "Robust" - "Game-changer" / "Cutting-edge" - "Straightforward" - "I'd be happy to help" - "In order to" ### Dead Transitions - "Furthermore" / "Additionally" / "Moreover" - "Moving forward" / "At the end of the day" - "To put this in perspective..." - "What makes this particularly interesting is..." - "The implications here are..." - "In other words..." - "It goes without saying..." ### Engagement Bait - "Let that sink in" / "Read that again" / "Full stop" - "This changes everything" - "Are you paying attention?" - "You're not ready for this" ### AI Cringe - "Supercharge" / "Unlock" / "Future-proof" - "10x your productivity" - "The AI revolution" - "In the age of AI" ### Generic Insider Claims - "Here's the part nobody's talking about" - "What nobody tells you" - Anything with "nobody" or "most people don't realize" ### The Big One (FATAL) - "This isn't X. This is Y." and ALL variations. - "Not X. Y." - "Forget X. This is Y." - "Less X, more Y." - ANY sentence that negates one framing then asserts a corrected one. - If even ONE of these appears, the output fails. Delete the negation, just state the positive claim. ## Writing Samples [Paste your writing here. The more you give, the better the voice match.] ——— the banned phrases list alone is honestly worth the file. once you read through it you'll start noticing these phrases in literally every AI-generated slop-post you've ever seen but the writing samples are what take it from "decent" to "wait did i write this" setup takes maybe 10 minutes. copy the file, find your old writing, paste it in. do it once and every session after that claude cowork reads it before you say a word

@hashjenni Isn’t the answer always “oil”? Why Venezuela?

can someone please explain to me, like im 5, why is US attacking Iran?

@Manu_Sisti Build

Claude now writes better than 95% of bestselling authors. Yet most people still use it for only emails. I used it to write a 100-page eBook. It now makes me $3,000 every month. Comment "BUILD" I'll DM you: • My niche finding playbook • My AI outline + writing workflow • My publishing checklist + KDP ads (Plus a bonus.)

@LaPetiteADA @grok Ich glaub in der Schweiz brauchst dir keine Sorgen machen … ;-)

Hey @grok, in the case of an imminent WW3, how could I protect my safety and wealth? 👀

@temberaubend Das hast du aber nicht wirklich erhalten, oder? 🤔

und da sagt nochmal einer, romantik ist tot

@novaruntime lol yeah. That’s why everyone was so hyped about their OpenClaw setups - they all went with Opus as default and never checked their token spend.

7k stars in a week for a menubar app that just shows your AI coding spend. turns out nobody actually knows how much theyre burning. link in the first comment

@matteopelleg That would be unbeatable. Hope they have as much foresight.

I’m now convinced that the biggest winner of the AI race will be Apple. They will acquire Anthropic and put an AI model that can run on ~32GB of RAM in every device. It will be private, local, have perfect memory, access to all of your files and it will cost $0. The real moat was owning the hardware.

@defidarling Not for long … battery’s almost out 😄

good morning from paris studying today 🤓