This guy literally broke down how to master Claude Code (even if you haven't coded before):
05:28 - Level 1: Why you start with Lovable
08:04 - Level 2: The Lovable + Claude Code bridge
28:37 - Level 3: Cursor + Vercel for real production
41:17 - Level 4: Agents, skills, and CLAUDE.md
42:50 - The CLAUDE.md memory file explained
45:24 - The PM orchestrator agent pattern
53:26 - How AI-native teams spend 50% of their time
01:01:33 - Why 90% of European PMs are still non-technical
01:07:45 - The Monday morning move
@gabz_investing@dannycheng2022@gabz_investing I actually found Danny through you .. lol .. Now I follow you both on Patreon and greatly appreciate your commitment and dedication to the community!
Spotted in the NYC subway. “Zero screen time.” An iPod Shuffle ad in 2026.
When we built the iPod, the goal was the technology disappeared and you could have your music wherever you were. 1,000 songs in your pocket.
Now we’re living through a moment where people are actively looking for ways to disconnect from the infinite feed, algos, and constant notifications. That doesn’t mean technology is bad. It means the best technology understands when to step back.
Not every problem needs another screen, another menu, or another layer of complexity. Constraints create freedom (read: @DavidEpstein new book Inside the Box). And often removing features creates a better product than adding them.
The future of technology shouldn’t just be more engagement. It should help us be more human.
Today we're sharing our work on interaction models. A new class of model trained from scratch to handle real-time interaction natively, instead of gluing it onto a turn-based one.
https://t.co/MoS5s4cm60
A mulher que construiu o ChatGPT saiu da OpenAI, ficou em silêncio por um ano, e o que ela acabou de lançar pode mudar pra sempre como você usa IA no dia a dia.
Mira Murati não fundou mais um chatbot. Ela foi atrás do problema que nenhum lab quis resolver: toda IA que existe hoje funciona por turnos. Você digita, espera. O modelo responde, espera. É tentar resolver uma crise por e-mail quando você poderia estar na mesma sala que a pessoa.
O que a Thinking Machines lançou hoje acaba com isso.
O modelo ouve, vê, fala, pensa e age ao mesmo tempo. Não é um pipeline costurado de componentes. É o modelo em si que foi treinado do zero pra funcionar assim.
→ Latência de 0,40s por turno. O padrão da indústria é 1 a 2 segundos.
→ Micro-turnos de 200ms intercalando input e output sem parar
→ Faz busca, usa ferramentas e gera interface enquanto conversa com você
→ Percebe quando você hesita e intervém antes de você pedir
→ Tradução simultânea em tempo real com as duas partes falando
A equipe: Mira Murati como CEO (ex-CTO da OpenAI), Soumith Chintala como CTO (criador do PyTorch), e contratações recentes da Meta em percepção multimodal.
O ponto técnico que vale gravar: eles citam o "bitter lesson" do Rich Sutton. Interatividade construída por componente externo sempre vai perder pra interatividade nativa ao modelo. Escalar o modelo o torna mais inteligente e mais colaborativo ao mesmo tempo.
822 mil visualizações em 4 horas. a16z comentando. Brasil dormindo.
Toda IA que você usa hoje vai parecer e-mail dentro de dois anos. E quem largou na frente dessa corrida não foi OpenAI, Google nem Anthropic.
Foi a empresa da mulher que eles deixaram sair.
A fired Goldman Sachs quant trader taught me everything in a single conversation
He said: “We don’t do predictions. We only buy contracts where the price deviation exceeds 6%.”
It’s just that simple
That’s the desk operation for a $2 million annual salary
I fed his explanation and 5 GitHub repos into Claude, and Claude built a scanner. It processes over 400 markets every hour
This scanner can find those contracts priced in the 7-19c range, with true probabilities between 60-90%
At these entry points, you need a win rate of 1/4
And this bot’s win rate is 81%
Three months later:
From $2,000 to $8,191
99 trades, Sharpe ratio 2.30
A few cases:
ETH Merge upgrade - market 72c, true probability 88%, +19c
SOL breaks $200 - market 44c, true probability 81%, +15c
Florida hurricane cat3+ - market 81c, true probability 92%, +7c
Wheat breaks $800 - market 53c, true probability 68%, +20c
All of these were found by the scanner, and all were profitable
He looked at my terminal last week
He said: “This is what we do with $800M, 47-person team.”
And my current setup costs $25 per month
Claude - $20
VPS - $5
Repos - free
API - free
Now there are 8 agents running 24/7:
velvet_void +$697
nano_alpha +$541
ratking_eth +$407
darkpool_7 +$356
His fund returned 19% last year
And my setup returned 409% in three months
The real edge was never any secret—it’s just always been expensive, until now
70% win rate, 7 wallets copytrading rn from ~500 monitored, bot never paused, never gambling, just math and profit.
You can backtest your own strategies with @polybacktest, it has sub-second historical data going back a month. No-code builder available.
Giving This Free for 24 hours. To get it:
1. Comment the word 'PolyBackTest'
2. Like and Retweet this post
3. Follow me @marryevan999 (so i can DM you)
Claude Cowork automated 100% of my LinkedIn content creation.
Ideation → Draft → Review. All on autopilot.
46K followers + $876K revenue in 6 months.
→ No more staring at blank screens for 2 hours before posting
→ No more chasing followers while wondering why pipeline stays empty
→ No more ""engagement experts"" selling vanity metrics with zero revenue attached
→ No more disconnected tools killing your content velocity
Just one automated system → followers and revenue generated simultaneously.
Here's how it works:
→ Post Idea Generator (eliminates creative blocks completely)
→ Viral Momentum Engine (makes LinkedIn's algorithm work for you, not against you)
→ Follower Growth Stack (compound tactics most accounts never discover)
→ Sales & Fulfillment System (comment → qualified prospect → closed revenue)
→ Complete Tool Infrastructure (exact stack running my operation daily)
Built with the same infrastructure engineering principles deployed for Fortune 500 consulting firms.
Runs 24/7 without manual intervention.
Zero vanity metric optimization.
Want the complete LinkedIn Revenue Infrastructure?
Like + comment ""LINKEDIN"" + repost, and I'll DM it to you.
(must be following)"
omg... vibe coding mobile apps with professional designs is about to get 10x easier.
this is apparently releasing tomorrow on @v_computer the most popular mobile app builder in the world.
Designers no longer have an excuse; maintaining your interactive design systems and library with @claudeai + @storybookjs is extremely easy and a necessary responsibility of product design teams.