DukeDoobie™️

Bitcoin hit $108K, and SPX6900 topped out at $1.08 before starting to distribute. This feels more than coincidental when we consider the profound spiritual significance of the number 108. Across Hinduism and Buddhism, 108 is a sacred number tied to cosmic cycles, spiritual practices, and the journey of the soul. It’s the number of beads on a mala for meditation and chanting, representing wholeness and universal connection. The number 108 also resonates with the distance between celestial bodies and Earth, symbolizing harmony between the microcosm and macrocosm. In yogic traditions, 108 sacred sites (pithas) in India are believed to align with the body and the cosmos. Seeing these patterns emerge in the markets makes me wonder if this could this be a reflection of the Age of Aquarius, signaling the start of a new phase? Perhaps we’re witnessing the beginning of a super bull cycle or even a pivotal distribution phase that aligns with these greater cosmic themes.

This is on ONE book. The Secret Teachings of All Ages By MPH

This is Quanta Terminal. 11 autonomous engines. 85.7% win rate. 9.87 Sharpe. Globe intelligence. Conflict monitors. Radiation alerts. Cascade convergence. PTMA indicators. 116 research studies — all p < 0.001. Not a dashboard. A command center. sacredfolio.com #trading #crypto #astrology #data

@BrettFromDJ The focus multiplier is real. I noticed the same thing building Quanta — every hour I clawed back from context-switching between a day job and my own stuff was worth like 3x in output. $80k/m before quitting though, that's elite patience most people don't have.

I didn’t quit my full-time job until I was earning $80k/m from my side gig (no joke). 6 months after quitting my job, my revenue doubled. It’s insane what sort of impact focus can have on your startup.

Honestly the expired domain arbitrage play is underrated. I've seen decent .io and .ai domains just sitting there because someone's hackathon project died after a weekend. The real question is what's your conversion look like turning those into actual paying SaaS customers vs just flipping them?

This is how you turn abandoned vanity domains into recurring SaaS revenue. Every day, hobbyists, hustlers, and aspiring founders let their domains expire because their projects failed: – a newsletter they couldn’t grow – a DTC store that never got off the ground – a side project they gave up on after 3 weeks But here’s the thing they don’t realize: expired vanity domains still carry residual traffic, backlinks, brand equity, and even SEO juice. Most were marketed, tweeted about, or mentioned in forums before their owners quit. They’re abandoned assets just waiting to be monetized. Step 1: Use a tool like ExpiredDomains.net or GoDaddy Auctions to monitor domains expiring daily. Refine your filters to: – high backlink count (10+) – niche categories (e.g., productivity, fitness, wellness) – short, memorable names – ignore anything junky or overbid on Step 2: Cross-check these domains on Ahrefs or SEMrush for data: – Organic traffic (anything >100 visits/month is decent) – High authority backlinks (mentions on blogs, guest posts, or newsletters are gold) – Keywords ranking top 50 Step 3: Pick 5–10 promising domains for cheap (usually under $50 per name). These often belong to abandoned micro-startups or hobbyists who put in early marketing work. Now comes the system. Step 4: Evaluate their original intent by investigating: – Archive.org snapshots to see what the old landing page was – Past tweets or newsletter signups (plug the domain into Hunter.io to scrape emails that signed up) – Google the domain name to find mentions in forums, blog posts, Slack channels, or public Changelog discussions. Why? Because now you’re reconstructing not just the traffic, but the audience intent. Step 5: Build a relevant “lightweight SaaS” in Webflow, Carrd, or a simple no-code stack based on the niche. Examples: – A productivity blog’s expired domain could become a minimalist habit tracker – A failed ecommerce site could transition into a drop-shipping dashboard – A former travel blog could pivot into niche travel tools/maps You aren’t just rebuilding. You’re attaching services to pre-qualified eyeballs. Step 6: Cold email the old audience. Use Hunter or a similar tool to extract all legacy emails associated with the domain, and blast them with: “Hey X, noticed you signed up for [old newsletter/product]. We just launched [modern relaunch/product] based on the same mission – check it out here [CTA link].” If done right, you’ll see 10–15% engagement, even higher if they felt an emotional connection to the old product (e.g. newsletters, vision-driven projects). Step 7: Plug traffic holes using retargeting. Since the domain is already indexed, people WILL still type it in or click old backlinks. Use tools like Fathom or Google Analytics to track legacy traffic behavior, then retarget them across Instagram, Twitter, and LinkedIn as a “We’re back” campaign. Optional Twist (Advanced): Scrap targeted vanity email lists. Use the original domain to set up “[role]@[domain]” emails and tie them into Levelinbox for large-scale outreach. Example: reactivating advertisers that worked with similar blogs or reaching out to complementary SaaS tools. Pricing the SaaS: Stick to $9-$29/month for widespread low-friction conversion. Most of the audience still holds latent interest without needing deep features. Here’s why this works: – You aren’t starting from scratch. The traffic, intent, and marketing foundation are already done. – The cost of acquisition is basically free because you’re piggybacking on expired interest. – Cold email using Levelinbox amplifies your signal without needing large ad spend. In 6 months, you could roll 10 of these micro-products into a $10K-$20K MRR portfolio of lightweight SaaS tools. And if one hits big? Exit the domain + SaaS as a packaged business to a solo buyer or SMB in the niche for 4-5x ARR. The graveyards of past projects are waiting – profit from what others gave up on. The quitting fees of the internet are now your recurring cash flow.

@femkesvs Five years of building for free is honestly an underrated education though — you probably shipped way better stuff because there was no pressure. $2,200/mo is solid proof the skills compound. The hardest part is always flipping that switch to actually charge.

Earlier this year I decided that after five years, I'd stop doing side things for free. This August I made $2,200 in side project income. You can do it!!! 💪🏽🚀🤗

@so_phie_C $9K over 3 years is $3K/year — that's less than minimum wage for what was probably hours of daily content work. The real question is what did you build that generates revenue outside of selling "how to grow on X" content?

I started building in public 3 years ago: - 6 followers - 0 impressions - $0 revenue Now I have: - 56K+ followers - > Millions of impressions - $9000+ revenue Start posting today on 𝕏. It will be the best decision you’ll ever make.

@robj3d3 $0 to $9.8K MRR in 272 days while growing followers 8x — that's a legit compounding curve. Building in public is the best accountability hack there is, the audience becomes the engine.

272 days of building SuperX in public: Day 0: - 3.4K followers - 500k impressions - $0 MRR - 0 SuperX users Day 272: - 27.6K followers 🫶 - 27M impressions 👀 - $9.8K MRR 💰 - 10K active SuperX users 📈 There's never been a better time to start. Start today 🫡

@audiencon Honestly the real leverage is building in public and getting roasted by people who actually know what they're talking about. Shipped faster after harsh feedback than any motivational thread ever made me.

Building alone is risky. Building in public is leverage.

@LeverCRO @StartupArchive_ "One deal booked by accident" doing a lot of heavy lifting in a $2.3M pipeline story. What's the actual close rate on the automated stuff?

@StartupArchive_ With respect, I've 80/20'd everything. My revenue engine runs 24/7 with zero human input. This quarter's pipeline is $2.3M. One deal in it, from myself, booked by accident. But the efficiency metrics are genuinely something.

Mark Zuckerberg: “You can’t 80/20 everything” When Facebook first launched, a user’s profile included things like the dorm they lived in and the courses they were taking. Paul Graham asks Mark if he thinks Facebook would’ve worked without these features, to which Mark replies: “I remember this early debate that Dustin [Moskovitz] and I had where we had to do some manual work for every school that we released Facebook at. To do that, we went through and parsed the course catalogs at the schools to make sure that the data was clean.” Dustin argued that it would be easier to launch new schools if they didn’t parse these catalogs, while Mark thought this would be an unacceptable drop in quality. “We just had this really long debate about what quality meant for us and the community that we wanted to establish and the culture. In retrospect, maybe it wouldn’t have made a huge difference in how things played out. But it definitely set this tone where there’s a lot of clean data on Facebook, you can rely on it, it feels like a college-specific thing—which was valuable early on for setting the culture.” Mark then offers the following advice to the YC Startup School audience: “In the projects you work on, you will have a lot of similar questions. There’s the famous 80/20 rule where you get 80% of the benefit by doing 20% of the work, but you can’t just 80/20 everything. There have to be certain things that you are just the best at and that you go way further than anyone else on to establish this quality bar and have your product be the best thing that’s out there.” Video source: @ycombinator (2012)

@chrissyinspace 3 days to build, $12K in revenue — that's the ratio every builder chases. What's the product?

My small side project I started in 3 days crossed $12K in revenue.

@krishdotdev The cycle's missing the plot twist — vibe coding engineers hit a wall, get humbled, then go learn how the stack actually works. That's not collapse, that's the filter. Claude Code didn't make me weaker, it made me mass-produce prototypes until I found the ones worth hardening.

> Strong engineers build C. > C builds the foundations. > Foundations create leverage. > Leverage creates comfort. > Comfort creates Python. > Python creates AI. > AI creates vibe coding. > Vibe coding creates weak engineers. > Weak engineers create collapse. > Collapse creates strong engineers.

@ohiain @OliverKell_ Oliver Kell's cycle framework is legit — the way he maps moving average relationships to trader psychology at each phase is something I ended up baking into my own trading bot logic. Understanding where you are in the cycle changes everything about position sizing and entries.

Much of how I view the market can be traced back to @OliverKell_ and his "Cycle of Price Action" If you’ve studied his work, you know he breaks down the market's cycle into repeating phases. Each phase is defined by price behavior/structure, moving averages & trader psychology: I’ve built most of my system around these principles using the 9, 21, and 50 EMAs combined with volume confirmation. Once you understand this cycle, you can tell whether you should be pressing, protecting, or sitting on your hands, without needing news, opinions of others, or alerts. I'm going to break down each phase in very simple terms and explain how I've adapted this into my own system: 1. Exhaustion Extension: the End of Euphoria. This is when the market reaches a point where buying becomes emotional. Price goes vertical, volume increases, and everyone is chasing. Candle ranges expand far beyond average; the 9 EMA separates sharply from the 21. Every small pullback is met with blind dip buying. Psychology: Greed, FOMO, and overconfidence. Traders feel invincible, right before liquidity starts drying up. When I see price extended far above the 9/21 EMAs + climactic volume... I start trimming or locking gains. 2. Wedge Drop: the First Crack. After the climax, the market begins to tighten. You see overlapping candles, lower highs, and distribution volume. Momentum slows, yet traders convince themselves it’s a “healthy pullback.” The 9 EMA starts bending downward; once it breaks decisively, control flips. Psychology: Denial. Late buyers defend their entries while stronger hands quietly distribute. If the 9/21 break and retests fail, I stop looking for adds; this is my system telling me that it’s time to step aside. 3. EMA Crossback: Trend Confirmation. This is where the technical structure officially shifts. The short EMAs cross below the 50, turning the tape from bullish to neutral/bearish. Failed rallies get sold fast; prior leaders lose relative strength. Volume expands on down days and dries up on bounces. Psychology: Acceptance and fear. Traders realize the trend has changed, but hesitate to cut losses. During this time, I'm not playing offense. I'm looking at defensive positioning (aka smaller size, tighter risk). Avoid catching knives. 4. Base-n-Break: Rebuilding Phase. Stocks don't go straight up/down forever; every cycle needs a reset. During this phase, price begins moving sideways, volatility contracts, and volume dries. The 9/21 flatten and begin curling back up toward the 50. Institutions quietly accumulate shares. Psychology: Disbelief. Most traders are scared from the prior downtrend and ignore the early strength. What I personally look for: - Volume drying up near lows - Tight price action above the 9/21 - Early strength vs. the index (relative strength returning) When price finally breaks out of the base on expanding volume, that’s your first green light for a new trend. 5. Reversal Extension: Expansion Reborn. Momentum returns, the start of the next uptrend. EMAs align 9 > 21 > 50 and spread apart cleanly. Pullbacks respect the 9 EMA, and volume expands on moves upward. Sentiment slowly shifts from disbelief → confidence → greed. Psychology: Optimism. Strong hands are in control; late shorts scramble to cover. My execution: - Add on 9/21 pullbacks within trend. - Trail profits with the 9 EMA/pivots. - Hold core until a true exhaustion signal appears again. but why does this framework matter? Because most traders chase setups. But setups live inside these cycles, and without context, you’re guessing which stage you’re in. Read that again, understand? BARS... The EMAs give me structure: - 9 EMA: short-term sentiment - 21 EMA: trend confirmation - 50 EMA: "longish-term" structure - Below 9/21/50 = "slow down & sit on yo bum cuzzo" and Volume tells me who’s in control. When volume confirms alignment between price and EMAs, that’s conviction. Once you can read the cycle... exhaustion → decline → basing → reversal → expansion, etc... you start to trade with the market. My core system isn’t about prediction, but it's about context. Compression leads to expansion. Structure gives confidence. and Patience creates edge. And that, to me, is the real beauty behind @OliverKell_ "Cycle of Price Action". If you’ve made it this far, here’s what I’d recommend and what I wish someone had told me sooner... Bookmark this post! and the "Cycle of Price Action". study it, memorize it, and apply it in your backtesting. Pull up charts of your favorite tickers and identify where each phase occurred. You’ll start to notice the same textbook pattern repeating over and over... exhaustion, decline, basing, reversal, expansion. The names you trade change, but true human behavior doesn’t. Once you train your eye to recognize these transitions, you’ll stop forcing trades and start understanding the context behind every move. That’s when trading truly starts to click. Thanks for reading till the end! Took me some time to write up this post, so I appreciate the love and all interactions... I hope this gives you a new way to look at the markets. If you want to study further, I'd recommend @TraderLion and @OliverKell_ as they have great resources! Best of luck and Godspeed!

@lanto_trades The "it always has" part is what separates people who survive markets from people who don't. That conviction gets forged on days exactly like this one.

Today was hard… again. Soon, it’ll get better. It always has. Market cycles.

@0xRacist Honestly the "cycle" now is just which telegram group discovers the exit liquidity is them. Rotation speed went from months to minutes once everyone got the same dashboards.

market cycles don’t exist anymore, it’s just a continuous rotation of who’s getting rugged today

@tdinh_me The side project to $20K/month pipeline is real. Quanta started the same way — just me scraping astro data and backtesting trading signals at 2am. Nobody builds a business plan for the thing that actually works, it just consumes you.

My $20K/month business started as a side project. Having side projects is not just to impress your future employers, it can change your life too!

@BaileyChittle @louisvarge I had to drill into my agents... "HIT TMUX ENTER EVERYTIME"

@louisvarge I do this over tmux pretty fun x.com/baileychittle/…

i made a thing where now any Claude Code can send messages to any other Claude Code on my machine they can ask clarifying questions about work, or become friends

@StealthQE4 The 2-3% dip panic merchants are the same ones who'll capitulate at the actual bottom of a real correction. Anyone who's traded through a real 30%+ drawdown knows those are where the generational entries live.

Funny, we drop a few percent and the markets are panicked. Imagine if we dropped 30% which is totally normal during market cycles 🤔

@ThiccTeddy Solid stack. The notebook is underrated — most people skip the reflection part and wonder why they keep making the same mistakes. I'd add some automation layer though, even basic alerts save you from screen addiction.

My favorite trading tools🔨🔧⛏️ 1) TradingView- Charting 2) Finviz- Scanners & info 3) WeBull- Execute trades 4) Notebook- Reflect on trades 5) Investopedia- Basic info

@quantscience_ One week for the basics is ambitious but honestly you learn more deploying a real strategy with $100 than reading for a month. Backtesting is where most people get humbled fast.

Step 1: Understand Quant Trading Basics (1 week) Learn what makes quant trading tick: systematic, data-driven strategies. Read QuantStart's intro: quantstart.com/articles/Begin… Key concepts: Data, backtesting, risk management, execution.

99% of beginners struggle with learning algorithmic trading. Let's fix that. Here's a free 6-step roadmap to learning algo trading: (thread)

@thisdudelikesAI The "pretend you're a JPMorgan quant" prompt engineering era needs to end. Just ask Claude to write the date formula. It doesn't need a fictional backstory to do math correctly.

8. The JPMorgan Date and Time Formula Engineer "You are a senior quantitative analyst at JPMorgan who builds time-based financial models requiring precise date calculations for payment schedules, interest accruals, and trading day analysis. I need date and time formulas that handle every tricky calendar situation in my spreadsheet. Calculate: - Date differences: exact days, months, and years between two dates using DATEDIF and arithmetic - Business days only: NETWORKDAYS to count working days excluding weekends and custom holidays - Add business days: WORKDAY formula to find a deadline date that skips weekends and holidays - Month-end dates: EOMONTH to always land on the last day of any month regardless of length - Fiscal year and quarter mapping: convert any date to its fiscal period with custom year starts - Age and tenure calculation: exact years and months from a start date to today, updating automatically - Payment schedule generation: create a 12, 24, or 60-month payment date series with formulas - Date extraction: pull year, month, day, weekday name, and week number from any date - Time calculations: hours between timestamps, overtime calculations, and shift duration formulas - Dynamic today references: formulas that always show current month, current quarter, or days until deadline Format as a date formula reference guide with each formula written, example inputs and outputs, and edge case warnings. My date challenges: [DESCRIBE YOUR DATE-RELATED PROBLEMS, DATE FORMATS IN YOUR DATA, AND SPECIFIC CALCULATIONS YOU NEED]"

RIP Excel consultants. AI can now build Excel formulas like Microsoft's Power BI consultants (for free). Here are 15 insane Claude prompts that replace $150/hour spreadsheet specialists (Save for later)