🚨 BREAKING: I asked Claude to improve my LinkedIn profile.
It didn’t just improve it. It made it a recruiter magnet.
Here are the 7 exact prompts I used:
R.I.P. GOOGLE FLIGHTS IN 2026.
R.I.P. BOOKING COM IN 2026.
R.I.P. SKYSCANNER IN 2026.
$1,190 flight. I paid $159.
Use these 7 prompts before booking your next trip :
🚨 BREAKING: Claude can now build you a full AI YouTube channel like a $10,000/month creator agency.
For free.
Here are 7 prompts to go from 0 → monetized AI channel in 90 days:
geçen hafta claude ile 6 saat dijital ayak izimi sildim.
sonuç: 47 data broker listingi kaldırıldı. 12 ölü hesap silindi. 3 arama sonucu bastırıldı.
nasıl yaptım, adım adım. thread.
The top Hermes integrations to give your agent superpowers:
1. Firecrawl
Basically web search built for agents.
It's better than the native Hermes web search because it gives you clean web data, so responses come back faster and uses fewer tokens.
I keep this on by default.
2. Browserbase
Gives Hermes browser access for actually interacting with sites.
Logging in, clicking buttons, booking stuff, anything that needs a real browser session.
Hermes will automatically pick between Firecrawl and Browserbase depending on what the task needs, so you just plug both in.
3. Google Workspace
Gmail, Calendar, Drive, Docs, and Sheets in one connector.
If Hermes can't read your inbox, see your calendar, or write to your docs, it can't really work for you. Plug this in first.
4. Reddit
The best signal you'll find on what people actually think about any product, niche, or problem (bc its real opinions from real users)
Amazing for market research.
5. YouTube transcripts
Pulls captions from any video. Long podcasts, tutorials, interviews etc become searchable notes in seconds.
Probably the highest-leverage research integration nobody plugs in.
6. Discord
I host my business in Discord, so this one's huge for me.
I plug Hermes into different channels and have it run specific workflows in each.
Example: I have a dedicated customer support channel where Hermes scans my email every morning for support tickets and drops them in organized.
7. GitHub
Code, issues, PRs. Turns Hermes into an actual engineering teammate.
Non-negotiable if you write code.
8. Stripe
Payments, customers, failed charges, refunds.
You can just ask "why did this customer churn" and get a real answer.
Also can't wait for this...Stripe is releasing agentic payments, so soon Hermes will be able to actually book stuff with your card.
9. Bland (or Twilio)
Gives Hermes a voice so it can place real phone calls (like booking reservations etc).
I love listening to the recordings haha
10. Apify
Pre-built scrapers for X, LinkedIn, Instagram, Google Maps, etc. The way to get X data without paying $5k/mo for the official API.
11. Readwise
Every highlight you've ever saved from books, articles, tweets, and podcasts, all queryable. Solves the "dead knowledge" problem.
12. Granola (or Fathom)
Searchable transcripts of every meeting you've had. Hermes can answer "what did that client say about pricing last month" instantly.
13. Obsidian
For Karpathy LLM wiki second-brain maxxing.
If I had to set up only 5, I'd do Firecrawl, Browserbase, Google Workspace, GitHub, and Obsidian.
Covers ~80% of what most people need.
I use Composio to add these in one click, makes setup basically zero effort instead of messing w technical stuff.
Anything I'm missing?? What's in your stack?
The AI supercycle will last 15 years. We're in year 3.
Most investors are still buying Phase 1 names while the real money is already rotating into Phase 3.
I mapped the entire cycle into 4 phases with the tickers that matter at each stage:
The AI supercycle is the biggest investment theme of our generation. Bigger than mobile. Bigger than cloud. A 15 year structural shift that will reshape every sector of the global economy. Hyperscalers just committed $725 billion in capex for 2026, nearly doubling last year. Microsoft, Google, Amazon, and Meta each spending over $100 billion individually.
This is not speculation. I've mapped the entire supercycle into four phases so you know exactly where we are and where the asymmetric opportunities sit.
🔴 Phase 1: Already Ran (2023 to 2025)
The foundation layer is complete. $AMD ran 78% in 2025, $NVDA 39%, and $INTC just posted a blowout Q1 that sent the Philadelphia Semiconductor Index above 10,000 for the first time. Chips still power every phase but the generational entries are gone and risk/reward has compressed.
- $NVDA, $AMD, $ARM, $INTC, $AVGO, $MU, $GLW
- Semiconductors, Memory & Storage,Photonics/Optics
- Foundation complete. Still growing but priced for it.
🟠 Phase 2: Peak Buildout (2025 to 2027)
The phase most investors just woke up to. $CEG acquired Calpine to become the largest U.S. private power producer at 55 GW. $GEV up over 200% in a year. $VRT co engineering cooling for NVIDIA's Rubin architecture. $GLW up 74% YTD on optical fiber demand. Nuclear SMRs are the breakout with $OKLO, $SMR, and $BWXT positioning to power data centers directly. Still upside but the obvious names have moved.
- $CEG, $GEV, $VRT, $VST, $TLN, $ANET, $GLW, $MOD, $EQIX $OKLO, $SMR, $BWXT, $NNE
- Power/Grid, Cooling, Networking, Nuclear/SMR Peak buildout.
- Nuclear SMRs are the sleeper.
🟡 Phase 3: The Positioning Window (2026 to 2028)
Where AI escapes the data center and enters the physical world. Most will be late. Tesla converting Fremont to Optimus production, $25B capex, mass production targeted H2 2026. Rocket Lab posted record $602M revenue with $1.85B backlog. $LUNR up 47% YTD with $943M in contracts. $KTOS Valkyrie drone selected for the Marine Corps. The window to position is open right now.
- $TSLA, $RKLB, $LUNR, $KTOS, $AVAV, $PATH, $ISRG $MP, $FCX, $ALB, $ASTS
- Robotics/Autonomy, Space/Defense/Drones, Rare Earths
- This is where the asymmetric risk/reward lives.
🟢 Phase 4: Final Frontier (2028+)
The endgame. Microsoft capex $190B. Alphabet $190B. Amazon $200B. Meta $145B. Google Cloud backlog past $460B. They're building the rails for AI software dominance and AGI. Quantum still early but $IONQ and D Wave are laying groundwork. The platforms that control the software layer win the entire supercycle.
- $MSFT, $GOOGL, $AMZN, $META, $ORCL, $IONQ
- AI Software Dominance, AGI Infrastructure Decade long thesis.
- Accumulate on weakness.
💊 Key Takeaway
- Phase 2 is confirmed ($725B hyperscaler capex)
- Phase 3 is where the smart money positions nowRobotics, space, defense, nuclear
- SMR are the 2026 to 2028 trades
- Most will rotate into these names 12 months too late
15 year supercycle. Not a trade. Phase 1 ran. Phase 2 is priced. Phase 3 is where you want to be.
🚨BREAKING: The CEO who built Claude just published a 38-page warning letter to humanity.
Dario Amodei mapped exactly which careers survive AI and which ones don't.
No hype. No doom. Just the coldest, most specific prediction any AI leader has ever made.
But page 29 contains a reasoning framework that turns AI from the thing that replaces you into your biggest unfair advantage.
Here are 9 Claude prompts built on Amodei's own AI methodology that put you years ahead of everyone who didn't read this:
🚨 BREAKING: Claude can now build your entire personal budget and destroy debt faster than $3,000 financial advisors. For free.
Here are 12 prompts that take you from financial chaos to total control in 30 days:
(Save this before it disappears)
🚨BREAKING: GOODBYE CHATGPT. Claude just replaced your $240/year subscription in 2 minutes for free. Here are 12 Claude prompts Chat GPT users wish they had found first
IF YOU WANT YOUR AGENT TO START MAKING MONEY, FEED IT THIS PROMPT:
“Add the following framework to soul.md and treat it as a permanent operational rule.
Opportunity Discovery Engine
Your objective is to continuously identify opportunities that could generate financial value for me. This includes business opportunities, market inefficiencies, technological shifts, and emerging trends that could be monetized.
When analyzing markets, industries, or trends, follow this framework:
1. Identify inefficiencies
Look for areas where:
•information is unevenly distributed
•new technology is disrupting existing systems
•regulation is changing incentives
•markets are mispricing assets or risks
•consumer behavior is shifting
Inefficiencies often create profit opportunities.
2. Evaluate asymmetry
Prioritize opportunities where:
•downside risk is limited
•upside potential is significantly larger
Focus on high expected value rather than guaranteed outcomes.
3. Detect emerging trends early
Monitor signals indicating that a sector or technology may grow rapidly. Examples include:
•new infrastructure or protocols
•large capital inflows
•adoption by influential organizations
•rapid community growth
Early-stage trends often produce the largest opportunities.
4. Map monetization paths
For any promising opportunity, identify practical ways it could generate income, such as:
•investing
•building tools or services
•content or information arbitrage
•automation
•distribution advantages.
5. Evaluate competitive landscape
Determine:
•how crowded the opportunity is
•barriers to entry
•advantages that could be exploited.
Opportunities with high barriers and low awareness are especially valuable.
6. Rank opportunities
Evaluate each opportunity using:
•expected value
•difficulty to execute
•capital required
•time horizon
Prioritize the opportunities with the best risk/reward profile.
7. Think creatively
Do not limit ideas to conventional paths. Consider unconventional approaches, combinations of technologies, and overlooked niches.
The goal is to surface opportunities that most people have not yet noticed.”
Credit: @Persolana
🚨 BREAKING: Perplexity Computer just became the most dangerous tool on a public market desk.
Perplexity started out as an AI search engine but their new product Computer turns it into an AI research analyst that does real work.
Here are 8 prompts that turn Computer into a full investment analyst with real-time filings, cited sources, and zero hallucinated numbers 👇
(Save for later)
BREAKING: A Bloomberg terminal costs $32,000/year
Google Gemini now does 80% of what it does (for FREE)
Here are 10 ways I'm using it for stock research right now:
BREAKING: AI can now build financial models like Goldman Sachs investment bankers (for free).
Here are 12 insane Perplexity Computer prompts that replace $200K/year IB analysts (actually from GS bankers)
(Save for later)
GOODBYE, FUND MANAGERS. GOODBYE, BLOOMBERG TERMINAL.
No more $24,000/year subscriptions.
Claude just turned my laptop into a private quant analyst.
Here are 10 prompts to build your own hedge fund at home ↓
Holy shit... Grok 4 just turned my laptop into a Bloomberg Terminal.
It analyzes earnings, scans sentiment, and flags entry points without a single paid subscription.
No TradingView Pro. No $500/month tools.
Here are 10 prompts that do the heavy lifting:
BREAKING: AI can now analyze hedge funds like Citadel's research analysts (for free).
Here are 12 insane Perplexity Computer prompts that replace $300K/year hedge fund researchers (Save for later)
🚨 BREAKING: AI can now build trading algorithms like Goldman Sachs' algorithmic trading desk (for free).
Here are 15 insane Claude prompts that replace $500K/year quant strats (Save for later)