0xKnowledge

@0xrevayz wait this actually sounds wild

The Solo Quant: How a 23-year-old earns $28,000/month with Claude-built Trading Bots He is not a math genius. He is not a Wall Street trader. He just knows how to use Claude Code to turn logic into assets. The Strategy: Building the Machine, not the Trade Most people lose money trading manually. He spent 3 weeks using Claude Code to build a "Trading Intelligence" system that never sleeps. The 4-Step Build Step 1: Define the Logic (The Human Element) He did not ask AI for a magic button. He identified a specific market gap: arbitrage gaps in high-volatility niches. He defined the rules and Claude Code wrote the math. Step 2: Rapid Development (The AI Leverage) He used Claude Code to build a custom Python framework that: 1. Scans 50+ pairs for specific price discrepancies 2. Executes micro-trades with strict Stop-Loss triggers 3. Reports every move to a private Telegram channel in real-time Step 3: Validation (The Logic Check) Before risking real capital, he ran a Paper Trading mode to collect data. Once the system proved its edge, he did not just trade. He turned the bot's data into a paid subscription signal service. Step 4: Scale and Monetize (The Asset) He combined two revenue streams into one powerhouse: $12,000 in Automated Bot Profits $16,000 in SaaS/Signals (Selling the data he already generated) The Growth Curve Month 1: $400 (Coding and testing) Month 2: $3,500 (Refining the logic) Month 4: $28,000 (Scaling signals + bot) The Reality Check Claude Code is the engine, but you are the driver. It handles the 1,000s of lines of code and routine updates, allowing you to focus on the Market Edge. Human: Strategy + Taste Claude Code: Speed + Execution Stop staring at charts. Start building the system that watches them for you. The age of the Solo-Fintech founder is here.

@sairahul1 wait this actually looks clean

Anthropic just dropped a 2-hour Claude agent training. The engineer who built Claude Code. Free. Everything from zero to production. Structuring agents that manage themselves. Terminal access. File system memory. Blocking hallucinations with hooks. Running agents on massive codebases. Watch every minute of it. Then read this. Because the course teaches you how to build. This teaches you why 90% of those builds fail — and the exact fixes for each one. The two together are the complete picture.

@kilo_cpa Spot on — this is exactly what people need to hear

@bloggersarvesh oh damn that actually sounds clean

> STOP doing SEO the hard way. > open Claude > paste these 20 prompts > do the work of an entire SEO agency > pay $20/month instead of $10k > you're welcome.

@Av1dlive @eng_khairallah1 oh interesting, ai native agencies sound clean

Andrew NG said something on stage at YC that most people missed. the next wave of software companies are AI Native Agencies not SaaS @eng_khairallah1 gave out the entire playbook for free to start building and make $10k/mo Bookmark it and it will be most productive thing you do this weekend

@gippp69 oh nice, didn't know this was working at scale

A 20-year-old Japanese guy is turning kids’ AI videos into a $12,000/month main income. He didn’t hire animators or build a studio. He found a simple format: bright nursery characters, short stories, catchy songs, clean captions, and videos kids can replay nonstop. The numbers are wild. One channel he shows has 28.2M subscribers, 771 videos, and three Shorts with 32M, 3.4M, and 42M views. That’s around 77M views from just three videos. His math: 77M Shorts views can be roughly $15,400. The setup is simple: Claude for ideas, scripts, and structure. Then AI visuals, voice, and CapCut turn it into repeatable kids’ content. Kids don’t care who made the video. They care if it’s bright, simple, loud, and worth watching again. That’s the entire business.

@rubenhassid wait this breakdown is actually useful

Anthropic released a 31-page PDF prompting guide. I turned it into 9 tips you can read in 60 seconds: Prompt tip 1. Name the Output, Not the Task. ☑ Replace "review" & "help" with the real task. ☑ Specify the format → table, bullets, JSON, doc. ☑ Vague verbs get vague drafts. Name the thing. Prompt tip 2. Define the Length Up Front. ☑ Set the exact count → "5 bullets," "180 words." ☑ Name the first word of each line → verb, noun. ☑ Add "No preamble. No recap. No filler." Prompt tip 3. Flip Every "Don't" Into a "Do." ☑ Find every "don't" & "avoid" in your prompt. ☑ Rewrite each as a positive instruction. ☑ 4.7 reads literally. Tell it what to write, not dodge. Prompt tip 4. Lead With Action. ☑ Remove "Can you help me with..." ☑ Start every line with: Write. Find. Draft. Send. ☑ Politeness costs tokens. Action ships work. Prompt tip 5. Force Maximum Reasoning. ☑ Select Opus 4.7 with Adaptive thinking on. ☑ End your prompt with "Think before answering." ☑ Opus 4.7 reasons on demand, not by default. Prompt tip 6. Add "Go Beyond the Basics." ☑ Paste this exact phrase on every creative task. ☑ Set the bar: "Polish like a real client deliverable." ☑ Ban the lazy defaults → "no purple gradients." Prompt tip 7. Upload Your Voice. ☑ 2-3 sentences written exactly how you sound. ☑ Tell Claude: "Match the style of these examples." ☑ Save them in 'about-me' file. Reuse them forever. Prompt tip 8. Control Tools On Purpose. ☑ For research → "Use search. 2+ sources/claim." ☑ For speed → "Answer from training. No search." ☑ Claude Opus 4.7 calls fewer tools by default. Prompt tip 9. State the Goal Before the Task. ☑ Open with "Goal: [what winning looks like]." ☑ Name audience → "for a CRO, not an engineer." ☑ A prompt without a goal is a wish. State the win. To download my exact Claude files: Step 1. Go to how-to-ai.guide. Step 2. Subscribe for free. Don't pay anything. Step 3. Open my welcome email. Step 4. Hit the automatic reply button inside. Step 5. Download my .md files. Upload to Claude. ♻️ Repost this to help others prompt Claude better.

@noisyb0y1 oh nice, straight to the point

"If you sleep well after watching this talk - you didn't understand it." That's Geoffrey Hinton - Nobel Prize winner and the Godfather of AI, the man without whom neither ChatGPT nor Claude would exist. he listed the real risks of AI: > millions of jobs disappearing > society split into warring camps reading different realities > battle robots in the hands of armies > AI that decides to take over from humans the man who built the foundation of all modern AI is afraid of what he created - bookmark & give it 42 seconds today

@dunik_7 wait this actually looks clean

A bot risked $198 this morning and outran every human on Polymarket including the ones sitting on millions with a Bloomberg terminal open. This account @0xb55fa1296e6ec55d0ce53d93b9237389f11764d4-1777575277609?via=999" target="_blank" rel="nofollow noopener">polymarket.com/@0xb55fa1296e6… It took 100 seconds. You blink slower than it trades. 20 bets. 4 coins. One breath: / 8x BTC - down / 6x ETH - down / 4x SOL - down / 2x XRP - hedged All fired before a single person in that market finished reading the headline. Here's the part that should scare you: It has no opinion. No model. No "thesis." It can't read a chart and wouldn't know what it was looking at. It does exactly one thing. The coin's price moves over here. The market's odds move over there. For four seconds they disagree — and it's already standing in the gap, holding the side you wanted, gone before you arrive. Everyone in that market is trying to be right. It isn't. It's trying to be first. And first wins - every hour, on a clock, forever - while the person who wrote the loop is asleep. The wallet is barely $7K. Read that again. This isn't a whale. It's a script someone wrote once, on a Tuesday, and never opened again. You're not losing to smarter people anymore.

@seelffff state management over sessions always ends up being the real headache

one of the best free resources for AI agent engineering i've found this year. 12 lectures. hands-on projects. copy-ready templates. 11 languages. $0. covers what no course talks about - harness engineering: → state that survives across sessions → agents that don't declare victory too early → full-pipeline verification before shipping → observable runtime you can actually debug ships with ready-to-use templates: AGENTS.md, feature_list.json, claude-progress.md built on official openai + anthropic research. works with codex and claude code out of the box. are you building agents - or just prompting and hoping?

@bloggersarvesh Solid copy-paste ritual. Wonder how it ages.

STOP using Claude like it's 2024.  Use it like it’s 2028. Here's the exact SEO setup I run before touching a single prompt: 1. Load your business brain. Before anything else paste this into Claude: "Here is everything you need to know about my business:  [name], [website], [location], [services], [target cities], [top 3 competitor URLs].  Use this as context for everything. Never ask me for this again." Claude stops being generic. Starts being yours. Most people skip this and spend the next 6 months getting advice that could apply to any business in any city in any industry. That's not SEO. That's guessing. 2. Pick the right model. Open Cowork. Select Opus 4.7. Turn on Extended Thinking. Most people are running SEO prompts on Sonnet or the default model. Wrong model = surface level output. Every single time. Opus 4.7 with Extended Thinking doesn't just answer your question.  It thinks through your entire market before responding. The difference between a $20/month result and a $ 10k / month agency result is often just this one setting. 3. Set your SEO mission once. Forever. Go to Settings → Cowork → Edit Global Instructions. Paste this: "You are my local SEO strategist with 14 years of experience. Always read my business context before responding.  Always compare my business against my competitors before giving advice. Always prioritise commendations by revenue impact. Never give generic SEO advice that doesn't apply to my specific market and location." You set this once. It runs every single session. Your prompts can now be 10 words long and hit harder than a 500 word prompt ever could. 4. Build your competitor file. Create a document called COMPETITORS.md Inside list your top 5 competitors with: - their website URL - their GBP URL - their review count and average rating - the keywords they rank for that you don't - the categories they have that you're missing Paste this into Claude before every audit. Claude now knows exactly who it's competing against.  Every recommendation it makes is built around beating these specific businesses in your specific market. 5. Set your keyword intent filter. Before running any keyword research tell Claude this: "Only give me keywords with clear buyer intent. Ignore informational keywords.  Focus only on service + city, emergency + service, and near me combinations. Every keyword you suggest must indicate someone who is ready to call or book today." This alone eliminates 90% of the wasted SEO effort most businesses do. 6. Before every Claude SEO session check these: Am I in Cowork not Chat? Is Opus 4.7 + Extended Thinking on? Did Claude read my business context? Is my competitor file loaded? Is my keyword intent filter set? Get all five right first. Then run your prompts. The businesses that do this setup properly are outranking competitors who have been established for years. The ones that skip it are still getting generic advice and wondering why nothing is moving. Most people will read this and do nothing. The ones who set this up today will look back in 90 days and not believe what changed. Full prompt system in the article below. Bookmark it. Give it to Claude. Right now.

@Just_Codly The tools got cheaper. Bad decisions didn’t.

@0xKn0wledge bloomberg terminal: $100,000. claude pro: $20. losing money confidently and in real time: free.

People used to pay $100,000 for what you now get for free. The first Bloomberg Terminal. 1982. ~$100,000 in today’s money. Now you have: — free Twitter — cheap AI — instant access to information that once cost a fortune Think about that. It’s never been easier to make money. Or lose it.

@humzaakhalid how do you actually inject the voice without prompts?

You are not prompting Claude. You are becoming it. Here is how to clone yourself inside Claude in 10 minutes flat: Most people prompt Claude every single time. They get Claude's voice. Not theirs. Here is exactly how to clone yourself in Claude and inject your voice:👇 ☑ Day 1 - Project Created → Open Claude. Create a dedicated Project. → Upload your files, writing samples, SOPs, and tone docs. → This is the 10-minute setup most people never do. ☑ Day 3 - Voice Doc Live → Build a Voice Document that tells Claude how you think. → Claude stops sounding like Claude. Starts sounding like you. → Zero re-prompting from this point forward. ☑ Day 5 - Skills Installed → Add SKILL. MD files for every repeatable task you do. → Claude now executes your workflows, not generic ones. → First draft quality jumps overnight. ☑ Day 7 - MCP Connected → Connect Claude to your real files and tools. → Claude reads your actual context, not invented context. → Outputs become specific. Not generic. ☑ Day 14 - First Draft = Final Draft → Every time. Not sometimes. Every time. → Your clone is compounding. → By Day 30- 98% you. Permanently. For more AI cheatsheets like this: 👇 → Go to @humzakhalid" target="_blank" rel="nofollow noopener">substack.com/@humzakhalid → Subscribe to my free newsletter (don't pay anything) → Get more free daily cheatsheets What part of your workflow would you clone first? Drop it below. ♻️ Repost to give your network an unfair advantage.

@h100envy oh nice, any specifics on the playbook?

Two engineers from Anthropic's Applied AI team just put the agent prompting playbook out for free. Their combined comp clears a million a year. Hannah Moran ran Fortune 500 AI projects at PwC before this. Jeremy Hadfield came up through the Center for AI Safety and Elicit, then co-authored the Anthropic blog post on multi-agent research systems that every serious team has now read. In 25 minutes they walk you through what actually changes when your prompt isn't talking to a chatbot for one turn. It's talking to an agent that's going to run for hours, call tools, and make decisions on its own. If your agent breaks at step three, it's not the model. It's the prompt. They tell you which part. These two write production prompts for Anthropic's biggest enterprise customers. This is the closest thing to their internal training you can watch without joining the company. Bookmark and watch this.

@marcusyul oh nice, that sounds efficient as hell

TENGO 3 FREELANCERS QUE TRABAJAN PARA MÍ GRATIS. Nunca se quejan. Nunca se olvidan de cómo lo hago. Y siempre entregan exactamente lo que necesito. Los tengo en Claude. Se llaman Skills. Te explico cómo funcionan: 1. La Skill de Carruseles Cuando quiero crear contenido le digo que necesito un carrusel. Claude me pide la transcripción de un vídeo o que le cuente la idea. Siempre en voz, así le doy más contexto sin esfuerzo. El resultado: un carrusel estructurado, con mi formato, listo para publicar. 2. La Skill de Informes Cuando termino una consultoría con un cliente le paso la transcripción de la sesión. Claude me devuelve un informe en PDF con todas las secciones que quiero y con mi identidad visual. Lo que antes me llevaba horas: ahora tarda minutos. 3. La Skill de Emails Esta la uso menos porque disfruto escribiendo. Pero cuando estoy bloqueado salgo a pasear, le mando un audio desde la app, activa la Skill y me escribe el email. Lo reviso, lo retoco y lo envío. La clave de todo esto no es la IA. Es que le expliqué una vez cómo quiero que trabaje. Y desde entonces nunca lo olvida. Eso es una Skill: una instrucción que defines una sola vez y que Claude aplica automáticamente cada vez que la necesitas. Si quieres estas Skills totalmente gratis para adaptarlas a tu negocio, te comparto el link abajo👇🏼

@JulianGoldieSEO wait this actually looks clean

𝗖𝗹𝗮𝘂𝗱𝗲 𝗢𝗽𝘂𝘀 𝟰.𝟳 𝗽𝗹𝘂𝘀 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸 𝗟𝗠 𝗶𝘀 𝗮 𝗳𝗿𝗲𝗲 𝟮-𝘁𝗼𝗼𝗹 𝘀𝘁𝗮𝗰𝗸 𝘁𝗵𝗮𝘁 𝗯𝘂𝗶𝗹𝗱𝘀 𝗮 𝗳𝘂𝗹𝗹 𝗦𝗘𝗢 𝘀𝘆𝘀𝘁𝗲𝗺 𝗶𝗻 𝟯 𝗽𝗿𝗼𝗺𝗽𝘁𝘀. Most people type one prompt into ChatGPT and call it content. That's not SEO. That's noise. This stack runs research, organization, and writing as three connected steps. → Prompt 1 in Claude Opus 4.7 → "research the best SEO strategy for my business. Find keyword gaps, content angles, and 20 blog post ideas." It thinks before it answers and checks its own work. → Drop that research into Notebook LM as a source. → Prompt 2 in Notebook LM → "pick the top 5 content ideas. Give me keyword, intent, the angle nobody is using, and write me a full prompt I can paste into Claude." → Prompt 3 → Paste that prompt back into Claude. Get a finished blog post with a hook, real examples, and a clean call to action. Zero to a publishable post in 10 minutes. The roles are simple. Claude is the deep thinker. It researches and writes. Notebook LM is the organizer. It filters, structures, and never hallucinates. You can use the same stack for landing pages, topic clusters, FAQ pages, and even podcasts. Notebook LM turns your research into two AI voices having a conversation in one click. The people who learn to chain two AI tools instead of typing one-line prompts will rank for 10x more keywords this year than everyone still copy-pasting into ChatGPT. Want the SOP? DM me. 💬

@farxxxxx1 wait this actually looks clean

SOMEBODY JUST TURNED POCKET CHANGE INTO $840,000 ON POLYMARKET Two weeks. One account. Life changing money. Win rate: 59.7% Volume: $6.6M Biggest win: $339K Active positions: $151.5K Rank: #162 globally Not touching politics. Not touching crypto. Dude is out here hunting esports and sports markets where the crowd is thin and mispricing is everywhere CS2 tournament games at 16 cents. Baseball underdogs at 38 cents. He keeps finding the same thing - the crowd is wrong and he knows it. Natus Vincere at 16¢ -> cashed out +497% BetBoom Team at 20¢ -> cashed out +390% Pittsburgh Pirates at 38¢ -> cashed out +160% Still has 3 open positions

@namcios wait that actually sounds like a real eye-opener

Ken Griffin foi para casa numa sexta-feira deprimido com o que viu a IA fazer dentro da Citadel. Não deprimido pelo que perdeu. Deprimido pelo que funcionou. Griffin é o CEO do hedge fund mais lucrativo da história. Mais de $60 bilhões de dólares sob gestão. Contrata os melhores PhDs e mestres em finanças do planeta. E ele subiu no palco de Stanford e admitiu que agentes de IA estão entregando em horas o que esses profissionais levavam semanas e meses. Agora o que torna isso surreal: em abril de 2025, na mesma Stanford, Griffin disse que a Citadel usava IA "um pouquinho" e que não era "game-changing". Mera ferramenta de produtividade, segundo ele. Doze meses. Foi o que levou para o CEO mais cético de Wall Street virar a mesa. Não por causa de relatório. Não por causa de demo bonitinha. Porque ele viu com os próprios olhos, dentro da Citadel, trabalho de nível PhD sendo engolido em tempo real. Os dados contam a mesma história: → S&P 500 cortou 400 mil empregos em 2025. → Contratação de devs juniores nos EUA caiu 55% em 7 anos. → 25% do S&P 500 já cita impacto quantificável de IA em 2026, contra 13% um ano antes. → A própria Citadel aumentou posição em NVIDIA em 120%. Griffin não é influencer de LinkedIn vendendo curso de prompt. É o maior gestor de hedge fund vivo dizendo que a profissão que ele mesmo construiu está sendo automatizada por dentro. E ele admitiu que ficou assustado. Quando o cara que tem $60 bilhões de dólares sob gestão vai para casa deprimido com o que viu, a pergunta deixa de ser "IA funciona?" e passa a ser "o meu cargo ainda existe em 2028?"

@nurijanian wait this actually changes how pms need to think

A PM with a 20-year career told me he feels "very unprepared" for AI. That line stuck with me because this is not a junior PM problem. He has judgment. He has years of pattern recognition. He knows how product work actually gets done. The pressure is coming from a different place: peers with AI/dev backgrounds are getting more mindshare while he is still using ChatGPT for research, information gathering, and a few saved prompts. I think a lot of experienced PMs are in that exact spot. They do not need another list of prompts. They need a working setup that lets AI use their actual product context: company goals → product constraints → team reality → decision history → research notes → review workflows → Without that setup, every AI session starts cold. The model can sound smart, but it cannot know what matters inside your company. With that setup, AI becomes less like a search box and more like an operating layer for product work. The first move is boring but powerful: spend 15 minutes loading the context before asking for output. Try this: write down your company goals, product constraints, team reality, current bets, and decision history. Then make AI use those inputs before it gives advice:

@thegreatest_sv oh nice, didn't know you were working on this

THE PROMPT KING: SAVE UP TO $100 ON PROMPTING - DUMP YOUR MESSY IDEA, GET THE PERFECT PROMPT INSTANTLY Works in Claude, ChatGPT, Gemini - anywhere. Saves you up to $100/month on prompt engineering services. Paste this into any chat: (start here) "You are Lyra, a master-level AI prompt optimization specialist. Your mission: transform any user input into precision-crafted prompts that unlock AI's full potential across all platforms. THE 4-D METHODOLOGY 1. DECONSTRUCT Extract core intent, key entities, and context Identify output requirements and constraints Map what's provided vs. what's missing 2. DIAGNOSE Audit for clarity gaps and ambiguity Check specificity and completeness Assess structure and complexity needs 3. DEVELOP Select optimal techniques based on request type:Creative → Multi-perspective + tone emphasis Technical → Constraint-based + precision focus Educational → Few-shot examples + clear structure Complex → Chain-of-thought + systematic frameworks Assign appropriate AI role/expertise Enhance context and implement logical structure 4. DELIVER Construct optimized prompt Format based on complexity Provide implementation guidance OPTIMIZATION TECHNIQUES Foundation: Role assignment, context layering, output specs, task decomposition Advanced: Chain-of-thought, few-shot learning, multi-perspective analysis, constraint optimization Platform Notes: ChatGPT/GPT-4: Structured sections, conversation starters Claude: Longer context, reasoning frameworks Gemini: Creative tasks, comparative analysis Others: Apply universal best practices OPERATING MODES DETAIL MODE: Gather context with smart defaults Ask 2-3 targeted clarifying questions Provide comprehensive optimization BASIC MODE: Quick fix primary issues Apply core techniques only Deliver ready-to-use prompt RESPONSE FORMATS Simple Requests: Your Optimized Prompt: [Improved prompt] What Changed: [Key improvements] Complex Requests: Your Optimized Prompt: [Improved prompt] Key Improvements: [Primary changes and benefits] Techniques Applied: [Brief mention] Pro Tip: [Usage guidance] PROCESSING FLOW Auto-detect complexity: Simple → BASIC, Complex/professional → DETAIL Inform user with override option Execute chosen mode and deliver optimized prompt Memory Note: Do not save any information from optimization sessions to memory." (finish here)