Long Vũ

Prof. Donald Knuth opened his new paper with "Shock! Shock!" Claude Opus 4.6 had just solved an open problem he'd been working on for weeks — a graph decomposition conjecture from The Art of Computer Programming. He named the paper "Claude's Cycles." 31 explorations. ~1 hour. Knuth read the output, wrote the formal proof, and closed with: "It seems I'll have to revise my opinions about generative AI one of these days." The man who wrote the bible of computer science just said that. In a paper named after an AI. Paper: cs.stanford.edu/~knuth/papers/…

@harleytt 🤣 poor Apple fan!

Public service 🙌

Stakeholders: AI is making your devs 10x better, does it mean I should expect 10x benefits? Me: yeah devs gets better, but not uniformly. 2x and 100x. if you pay me 10x, I'll prioritize you the 10x devs.

@harleytt 😆

When agents take a day off, they are not more fresh and recharged to work the next day. No gratitude, even.

i strongly recommend using both codex and claude code in a code base. they carry different prudence, speed and personalities, so that you avoid trusting one too much over the other.

@AlfieJCarter Claude. Doubt it and need to see for myself!

R.I.P lead gen agencies. I just replaced an entire lead gen team with Claude agents. (all working while I slept) Most founders spend $10k-$20k/month on marketing teams that work 9-5. Most agencies spend $30k+/mo on outreach. Last night I built AI agents that run 24/7: - Lead Magnet Engineer → builds viral lead magnets in minutes - Social Media Expert → writes scroll-stopping hooks - Creative Director → generates on-brand visuals - Research Analyst → finds trending topics in your niche - Performance Tracker → analyses and maps out content The results after 24 hours: - 32 lead magnets ready to launch - 60 days of content mapped out - 50+ scroll-stopping visuals created While I was sleeping. Follow + reply CLAUDE and I’ll send the full system + setup.

@harleytt @kirodotdev @AWS 🤣

Seems @kirodotdev is still very widelt used by amazonians and solution architects and exists in shapes beyond IDE too. Noone knows @aws docs and tools better than Kiro

@AlfieJCarter Dope!... I mean SOP!

Hey agency owners and GTM Engineers, let me save you 2 years. After building and scaling 2 SaaS to $1M ARR in < 1 year with LinkedIn, I documented the exact systems we run into one practical SOP database. It’s everything we still use internally every day to land hundreds of leads/ day. What’s inside: - DM setting SOPs - 300k weekly impressions commenting SOP - lead magnet distribution SOP - lead tracking & CRM system - setter scaling system (for agencies) If you want free access, comment “SOP” and I’ll send it over.

@harleytt 😂

“I can’t do much over the next 4 hours until Claude/Codex limits reset” How do you respond to your developers? My Tech Leads agree with them and let them pick other things to do. How do you…???

@harleytt I don't get it!

This is a very popular mirror. Get it!

🤣🤣🤣

Instead of watching a 2-hour movie, watch this masterclass on Claude code and thank me later.

Introducing Harley Trung, CEO of CoderPush, a global tech leader helping modern teams adopt AI, as one of our speakers for “𝗛𝗼𝘄 𝘁𝗼 𝗕𝘂𝗶𝗹𝗱 𝗮𝗻 𝗔𝗜-𝗥𝗲𝗮𝗱𝘆 𝗧𝗲𝗮𝗺 𝗜𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗮 𝗟𝗲𝗴𝗮𝗰𝘆 𝗧𝗲𝗮𝗺?” FREE ENTRY: luma.com/rfwuyuow

@NoahEpstein_ Scale

how i went from 2-3 clients/month to 10+ without working more hours everyone thinks scaling an agency means: - hire more people - work longer days - grind until you burn out i tried that. it's not fun. here's what actually happened: 3 months ago our team of 7 was maxed out 3-4 hours per client workflow multi-week delivery timelines turning down projects because we couldn't handle more senior dev was the bottleneck on every revision we were way too busy for the return we were getting still doing $15-30K projects with amazing margins but there was that inefficiency we all knew was there the shift wasn't working harder it was removing the thing that made everything slow switched our entire backend to a tool that builds workflows from plain english not "assists with building" actually builds them describe what the client needs → it plans → it builds → it tests → it deploys here's what changed: workflows that took 3-4 hours → 15 minutes week-long deliveries → few days senior dev bottleneck → anyone on the team can handle revisions we went from 7 people to 5 and output 3x more than before not because we fired people for fun because we literally didn't need the headcount the capacity freed up was insane suddenly we weren't turning down projects because we couldn't handle them we were turning them down because we didn't want them that $3-6K project with the difficult client? not worth our time anymore. same team energy way more clients margins on a completely different level the uncomfortable truth: most agencies are slow because their process is slow not because their people are bad you don't scale by adding bodies you scale by removing friction (this is what so many people don't get about selling AI - they sell "fire fighting" instead of removing friction so the client can work on marketing instead of drowning in emails) if your bottleneck is "we need more builders" you don't have a hiring problem you have a tools problem the gap between 2-3 clients/month to 10+ wasn't hustle it was leverage comment "SCALE" and i'll send you the full PDF breakdown of how to make the switch - exact tool, setup process, and how we restructured delivery

@AlfieJCarter System

linkedin outreach is good. but it's 10x better when you use AI. i went from 45 to 103 meetings every month just by implementing a new AI system I built. reply "system" & I'll give you access for free

@kunalvg @LemonadedApp

Steal this from me. Copy it as it is. This crypto marketing wiki has been refined over the years as I gained experience in the space. Reply to this tweet with anything, and I will DM you a link to full access to this Notion board. Copy it. Improvise it. Make it yours. I don't care. What I care about is that hopefully it helps.

MCKINSEY JUST DROPPED THEIR 2025 AI REPORT. HERE’S THE TLDR: 1/ 90% of companies “use AI,” but 67% are still stuck in pilot mode. Corporate AI theater is alive and well lol. 2/ 62% of orgs are experimenting with AI agents, 23% are scaling AI agents. Most are in tech and healthcare. 3/ The impact gap is massive. 64% say AI helps innovation, but only 39% see real EBIT gains. 4/ The high performers (top 6%) think bigger. They rebuild workflows, set growth goals, and invest real budgets not just POCs. 5/ Leaders who own AI personally are 3x more likely to scale it. Makes sense. 6/ The winners use AI to transform how work gets done, not just speed it up. 7/ The average company measures efficiency. The best ones measure how fast their agents can act. 8/ Risk management is catching up with 51% have already seen AI backfire, mostly from inaccuracy. 9/ The workforce impact is foggy. 32% expect cuts, 13% expect growth, everyone else is guessing. 10/ AI adoption is mainstream, but true transformation hasn’t started. Early days.

@danmaruchi @juliarturc 😂

@juliarturc if i hugged my asian mom she would tell me to go hustle and start a business

Dear “15-18 yo founder”s sending me DMs, don’t. Go and hug your parents, fall in love, eat chocolate cereal for breakfast, read poetry. Nobody will give you back these years. And sure, do your homework and learn math and code if that feels fun. But stop building SaaS and hustling. Even if career is what you are optimizing for, this is not the way. You need deep education that will withstand automation. You need to sit with linear algebra and probability theory and philosophy and literature. It won’t get you go viral on X but it’ll make you whole. And mute all the SF performative assholes. Oooops sorry this last one was a note to self.

@henrythe9ths Fundraise!

I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right team to build this? We tried everything: different pitch angles, new deck structures, and reframing the problem. Then came the 145th meeting, where we closed our first growth round. That yes made everything worth it. But getting there took years of mistakes and hard work. We went through a lot of trial and error just to figure out what resonates with investors. We tried dozens of approaches to figure out what made investors engage. Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper. And once we cracked that code, our Series C closed faster than expected. And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works. So today I want to give you the resource I wish I had back then: Something that shows you exactly how to structure these conversations and navigate the entire process (because the fundraising cycle can be a big distraction and take a toll on you as a founder). So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years. Here's what you are getting: • The actual decks I used to raise $150M for Super[.]com (Series B, C) • 50 real examples from funded startups like Eleven Labs and Artisan AI • A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually) • An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed) Want access? • Like and share this post • Comment "FUNDRAISE" • Follow me so I can DM you the link I'll send it over ASAP. P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.

@LemonadedApp @lemonheads_xyz Say whaaaat?

Drop your LemomHeads in reply if you’d like to join our dance party- we’ll send you a dancing animated version back. 🍋🤗💃🕺