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"Eat, Drink, Sleep UPSC" Morning: Study fresh concepts with full focus. Afternoon: Re-read, make notes, and strengthen memory. Night: Revise before sleep to lock it in. This cycle of Study → Notes → Revision builds mastery step by step. Covering the full syllabus thoroughly takes around 2 years. Consistency...

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🕵🏻‍♀️ UPSC AIR 1 Dr. Anuj Agnihotri's Full Study Plan & Booklist for Prelims & Mains with Dr. Mrunal Patel Timestamps 0:00 Highlights 1:47 Intro: Anuj Agnihotri AIR 1 2:02 History: Prelims & Mains 2:23 TN NCERT & IGNOU Strategy 2:52 Geography: NCERT Approach 3:12 Role of Unacademy Educators 3:52 NCERT Revision Tips 4:01 Geo Mains: Disasters & Current 4:34 Env & Ecology Intro 4:43 Env Laws & National Parks 5:12 Wikipedia Search Strategy 5:33 Economy: Why Fundamentals First 5:51 Mrunal Sir’s Economy Videos 5:56 Economy CA: Indian Express 6:13 Polity: Laxmikanth for Prelims 6:22 GS2 Governance Themes 6:42 Social Issues: Clubbing Method 7:21 The Hindu vs Indian Express 7:26 5 Years of Indian Express 7:48 Why skip CA Magazines? 7:59 Science & Tech Prep 8:36 PYQ Analysis & Filtering 8:56 Core Subjects Recap 9:00 Newspaper First Strategy 9:20 Static & Current Linkages 9:32 Reading Time & Note-making 9:44 Value Addition to Notes 10:03 Avoiding CA Compilations 10:24 Ethics: Keyword Approach 10:51 Definitions & Examples 10:58 Real Life & Mythic Examples 11:07 Ethics Case Study Mindset 11:32 Essay: Templates & Conclusion 12:25 Optional Subject Choice 12:29 Medical Science Optional 13:06 Med Science Resources 13:35 Revision Challenges 14:16 Data: Med Science Toppers 14:46 AIR 1: Honest Reflection 15:23 Message to Aspirants 15:55 Mock Tests & Mindset 16:07 Closing Remarks In this exclusive session, Dr. Mrunal Patel interviews Dr. Anuj Agnihotri (AIR 1, UPSC CSE 2025). A graduate of AIIMS Jodhpur, Anuj secured 1071 marks (Written: 867, Interview: 204) in his third attempt. 👩🏻‍🏫 Mrunal’s Annual Economy Current Affairs lecture series Win26- next Free Live stream class on Wednesday

Dr. Mrunal Patel (Ph.D.)

45,763 Aufrufe • vor 6 Monaten

Brian Tracy increased his income 100x in 12 years using this formula: "Once upon a time, I sat down at the end of the year and my tax returns were $14,400. Twelve years later, my tax returns were $1,440,000. I'd increased my income by 100 times." Brian explains the math behind it: "It's based on the law of incremental improvement. The Japanese call it Kaizen, the principle of continuous betterment. If you could increase your productivity by one-tenth of 1% per day, could you do that? Of course. If you did that every day for a week, you'd be half a percent more productive. Do that every week for a month, 2% more productive. Do that for a year, 26% more productive. Exposed to compounding, that's 1000% in 10 years." He shares the daily formula: Step 1: The Golden Hour. "Get up at least two hours before you have to be somewhere. Invest the first hour reading something uplifting, educational, or motivational. Reading is to the mind as exercise is to the body. The first hour is the rudder of the day." Step 2: Make a list. "Write down everything you have to do that day. Plan your day in advance." Step 3: Prioritize."Determine what's most important. Put a number next to each task." Step 4: Start on your most important task. "Work on it single-mindedly with concentration, focus, and discipline until it's done. Then go to task number two." Step 5: Turn your car into a university. "A study at USC concluded that if you listen to educational audio programs instead of music, you'll get the equivalent of full-time university attendance, except you only select things valuable to you in the moment." Step 6: Ask two questions after every interaction. "What did I do right? And what would I do differently next time?" Brian concludes: "This formula has been the key to success throughout history. You don't make quantum leaps. You don't go from zero to rich. You go to work on yourself bit by bit, day by day, week by week, month by month and your results are virtually guaranteed."
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Brian Tracy increased his income 100x in 12 years using this formula: "Once upon a time, I sat down at the end of the year and my tax returns were $14,400. Twelve years later, my tax returns were $1,440,000. I'd increased my income by 100 times." Brian explains the math behind it: "It's based on the law of incremental improvement. The Japanese call it Kaizen, the principle of continuous betterment. If you could increase your productivity by one-tenth of 1% per day, could you do that? Of course. If you did that every day for a week, you'd be half a percent more productive. Do that every week for a month, 2% more productive. Do that for a year, 26% more productive. Exposed to compounding, that's 1000% in 10 years." He shares the daily formula: Step 1: The Golden Hour. "Get up at least two hours before you have to be somewhere. Invest the first hour reading something uplifting, educational, or motivational. Reading is to the mind as exercise is to the body. The first hour is the rudder of the day." Step 2: Make a list. "Write down everything you have to do that day. Plan your day in advance." Step 3: Prioritize."Determine what's most important. Put a number next to each task." Step 4: Start on your most important task. "Work on it single-mindedly with concentration, focus, and discipline until it's done. Then go to task number two." Step 5: Turn your car into a university. "A study at USC concluded that if you listen to educational audio programs instead of music, you'll get the equivalent of full-time university attendance, except you only select things valuable to you in the moment." Step 6: Ask two questions after every interaction. "What did I do right? And what would I do differently next time?" Brian concludes: "This formula has been the key to success throughout history. You don't make quantum leaps. You don't go from zero to rich. You go to work on yourself bit by bit, day by day, week by week, month by month and your results are virtually guaranteed."

Jaynit

42,193 Aufrufe • vor 6 Monaten

Obsidian just became the most dangerous folder on your computer, and Andrej Karpathy predicted it with 1 markdown file. His method is called append-and-review. He described it years ago and almost nobody listened: 1 single note, every thought appended to the top, reviewed on random scrolls. No tags, no folders, no Notion dashboards with 40 linked databases. The problem was always the same the note remembers, but it can't act. That changed the moment people pointed Claude Code at an Obsidian vault. Here's the setup that's quietly spreading: Part 1 — The vault becomes a database. Obsidian stores everything as plain markdown on your disk, which means Claude Code can read it like a codebase. You open a terminal inside the vault folder and your 2,000 notes turn into queryable memory. Part 2 — The CLAUDEmd file becomes the brain stem. One file at the root tells the agent who you are, what you're building, and how your notes are structured. From that point every session starts with full context instead of a blank chat window. Part 3 — Karpathy append log becomes fuel. You dump raw thoughts all day ideas, links, half-sentences. Then 1 command at night: review today's appends, extract action items, draft the 3 posts hiding in there, link them to existing notes. The messy log goes in, structured output comes out, and the vault rewrites itself while you sleep. Part 4 — Agents start living in your notes. People are running weekly reviews, content calendars, even market research as scheduled Claude Code runs over their vault. Your second brain stops being a graveyard of highlights and starts shipping. The honest math: setup takes about 90 minutes, the first week feels like overkill, and by day 30 you're sitting on a system where every note you've written in 5 years is working for you instead of rotting in a folder. Notion needed a server, a subscription and your data on someone else's machine. Obsidian needed a text file and now the text file has an employee.
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Obsidian just became the most dangerous folder on your computer, and Andrej Karpathy predicted it with 1 markdown file. His method is called append-and-review. He described it years ago and almost nobody listened: 1 single note, every thought appended to the top, reviewed on random scrolls. No tags, no folders, no Notion dashboards with 40 linked databases. The problem was always the same the note remembers, but it can't act. That changed the moment people pointed Claude Code at an Obsidian vault. Here's the setup that's quietly spreading: Part 1 — The vault becomes a database. Obsidian stores everything as plain markdown on your disk, which means Claude Code can read it like a codebase. You open a terminal inside the vault folder and your 2,000 notes turn into queryable memory. Part 2 — The CLAUDEmd file becomes the brain stem. One file at the root tells the agent who you are, what you're building, and how your notes are structured. From that point every session starts with full context instead of a blank chat window. Part 3 — Karpathy append log becomes fuel. You dump raw thoughts all day ideas, links, half-sentences. Then 1 command at night: review today's appends, extract action items, draft the 3 posts hiding in there, link them to existing notes. The messy log goes in, structured output comes out, and the vault rewrites itself while you sleep. Part 4 — Agents start living in your notes. People are running weekly reviews, content calendars, even market research as scheduled Claude Code runs over their vault. Your second brain stops being a graveyard of highlights and starts shipping. The honest math: setup takes about 90 minutes, the first week feels like overkill, and by day 30 you're sitting on a system where every note you've written in 5 years is working for you instead of rotting in a folder. Notion needed a server, a subscription and your data on someone else's machine. Obsidian needed a text file and now the text file has an employee.

Spike 1%

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THIS GUY BUILT A BUSINESS SECOND BRAIN WITH CLAUDE CODE + OBSIDIAN IN 3 STEPS Most teams do not need another Notion workspace. They need a place where the company can remember how it works. The video shows a simple setup: 1. Create one empty folder called second brain. 2. Split it into 3 buckets: raw new knowledge wiki 3. Let Claude Code turn messy company material into connected notes. The useful part is the separation. Raw is where your existing stuff goes: SOPs, sales docs, process notes, client delivery checklists, old Loom summaries, onboarding docs. New knowledge is where fresh outside material lands: articles, clips, tactics, examples, market notes. Wiki is the cleaned version: concepts, roles, processes, SOPs, gaps, reusable decisions. That is where Claude Code becomes more useful than a normal chat window. Instead of asking it to remember random context forever, you give it a folder it can read, edit, and reorganize. Then Obsidian becomes the human interface. The Obsidian Web Clipper captures useful pages into the vault. Claude Code ingests them. The wiki gets updated. Then you can ask questions like: “Does my current workflow actually hold up?” That is the real point. Not “AI notes.” A business memory system that can compare what you do today against new information tomorrow. The caveat: this is not magic company intelligence. If your raw docs are vague, outdated, or full of tribal knowledge, Claude will organize weak inputs into cleaner weak outputs. You still need naming rules, review habits, and someone responsible for deleting junk. But the setup is refreshingly practical. Folder first. Clipper second. Claude Code as the maintainer. No giant knowledge base migration. No complex setup. Just a local vault that can slowly turn scattered business memory into something searchable, editable, and actually reusable.
1:25

THIS GUY BUILT A BUSINESS SECOND BRAIN WITH CLAUDE CODE + OBSIDIAN IN 3 STEPS Most teams do not need another Notion workspace. They need a place where the company can remember how it works. The video shows a simple setup: 1. Create one empty folder called second brain. 2. Split it into 3 buckets: raw new knowledge wiki 3. Let Claude Code turn messy company material into connected notes. The useful part is the separation. Raw is where your existing stuff goes: SOPs, sales docs, process notes, client delivery checklists, old Loom summaries, onboarding docs. New knowledge is where fresh outside material lands: articles, clips, tactics, examples, market notes. Wiki is the cleaned version: concepts, roles, processes, SOPs, gaps, reusable decisions. That is where Claude Code becomes more useful than a normal chat window. Instead of asking it to remember random context forever, you give it a folder it can read, edit, and reorganize. Then Obsidian becomes the human interface. The Obsidian Web Clipper captures useful pages into the vault. Claude Code ingests them. The wiki gets updated. Then you can ask questions like: “Does my current workflow actually hold up?” That is the real point. Not “AI notes.” A business memory system that can compare what you do today against new information tomorrow. The caveat: this is not magic company intelligence. If your raw docs are vague, outdated, or full of tribal knowledge, Claude will organize weak inputs into cleaner weak outputs. You still need naming rules, review habits, and someone responsible for deleting junk. But the setup is refreshingly practical. Folder first. Clipper second. Claude Code as the maintainer. No giant knowledge base migration. No complex setup. Just a local vault that can slowly turn scattered business memory into something searchable, editable, and actually reusable.

kocer

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A community college professor taught the same study skills lecture for 30 years, and the video quietly became one of the most watched educational recordings on the internet. His name is Marty Lobdell. He spent his career as a psychology professor watching students fail not because they were lazy, but because nobody had ever taught them how their brain actually works under the pressure of learning something hard. The lecture is called "Study Less Study Smart." Over 10 million views. Passed around in Reddit threads, Discord servers, and university study groups for over a decade. And the core insight buried inside it has been sitting in cognitive psychology research for years, waiting for someone to explain it in plain language. Here is the framework that completely changed how I think about effort. Your brain does not sustain focus the way you think it does. Studies tracking real students found that the average learner hits a wall somewhere between 25 and 30 minutes. After that, efficiency doesn't just decline. It collapses. You're still sitting at your desk, still looking at the page, but almost nothing is going in. Lobdell illustrated this with a student he knew personally. She set a goal of studying 6 hours a night, 5 nights a week, to pull herself out of academic probation. Thirty hours of studying per week. She failed every single class that quarter. She wasn't failing because she lacked effort. She was failing because she had confused time spent near books with time spent actually learning. The 25-minute crash hit her at 6:30pm every night. She spent the next five and a half hours sitting in the wreckage of her own focus and calling it studying. The fix sounds almost too simple. The moment you feel the slide, stop. Take five minutes. Do something that actually gives you a small reward. Then go back. That five-minute reset returns you to near full efficiency. Across a six-hour window, the difference is not marginal. It is the difference between thirty minutes of real learning and five and a half hours of it. The second thing he taught destroyed something I had believed about how memory actually works. Highlighting feels productive. Going back over your notes and recognizing everything feels like knowing. But recognition and recollection are two completely different cognitive processes, and your brain is very good at making you confuse them. You can see something you've read before and feel completely certain you understand it, even when you couldn't reconstruct a single sentence from memory if the page were blank. He proved this live in the room. He read 13 random letters to his audience. Almost nobody could recall them. Then he rearranged the same 13 letters into two words: Happy Thursday. The whole room got all 13 without effort. Same letters. Same count. The only thing that changed was meaning. The brain stores meaning. Not repetition. The moment new information connects to something you already understand, the retention changes entirely. This is what the cognitive psychology literature calls elaborative encoding, and it is the mechanism underneath every effective study technique. The third principle was the one that hit me hardest, and the one almost nobody applies. Lobdell cited research showing that 80 percent of your study time should be spent in active recitation, not passive reading. Close the material. Say it back in your own words. Teach it to someone else, or to an empty chair if no one is around. The struggle of retrieval is where the actual learning happens. Reading your notes again is watching someone else do the work. His parting line has stayed with me longer than almost anything else I have read about learning. He told the room that if what he shared didn't change their behavior, they hadn't actually learned it. It would just live in their heads as something they had heard once and felt good about. He was right. And most people leave every lecture exactly like that. The students who remember everything aren't putting in more hours. They stopped confusing the feeling of studying with the fact of it.
59:55

A community college professor taught the same study skills lecture for 30 years, and the video quietly became one of the most watched educational recordings on the internet. His name is Marty Lobdell. He spent his career as a psychology professor watching students fail not because they were lazy, but because nobody had ever taught them how their brain actually works under the pressure of learning something hard. The lecture is called "Study Less Study Smart." Over 10 million views. Passed around in Reddit threads, Discord servers, and university study groups for over a decade. And the core insight buried inside it has been sitting in cognitive psychology research for years, waiting for someone to explain it in plain language. Here is the framework that completely changed how I think about effort. Your brain does not sustain focus the way you think it does. Studies tracking real students found that the average learner hits a wall somewhere between 25 and 30 minutes. After that, efficiency doesn't just decline. It collapses. You're still sitting at your desk, still looking at the page, but almost nothing is going in. Lobdell illustrated this with a student he knew personally. She set a goal of studying 6 hours a night, 5 nights a week, to pull herself out of academic probation. Thirty hours of studying per week. She failed every single class that quarter. She wasn't failing because she lacked effort. She was failing because she had confused time spent near books with time spent actually learning. The 25-minute crash hit her at 6:30pm every night. She spent the next five and a half hours sitting in the wreckage of her own focus and calling it studying. The fix sounds almost too simple. The moment you feel the slide, stop. Take five minutes. Do something that actually gives you a small reward. Then go back. That five-minute reset returns you to near full efficiency. Across a six-hour window, the difference is not marginal. It is the difference between thirty minutes of real learning and five and a half hours of it. The second thing he taught destroyed something I had believed about how memory actually works. Highlighting feels productive. Going back over your notes and recognizing everything feels like knowing. But recognition and recollection are two completely different cognitive processes, and your brain is very good at making you confuse them. You can see something you've read before and feel completely certain you understand it, even when you couldn't reconstruct a single sentence from memory if the page were blank. He proved this live in the room. He read 13 random letters to his audience. Almost nobody could recall them. Then he rearranged the same 13 letters into two words: Happy Thursday. The whole room got all 13 without effort. Same letters. Same count. The only thing that changed was meaning. The brain stores meaning. Not repetition. The moment new information connects to something you already understand, the retention changes entirely. This is what the cognitive psychology literature calls elaborative encoding, and it is the mechanism underneath every effective study technique. The third principle was the one that hit me hardest, and the one almost nobody applies. Lobdell cited research showing that 80 percent of your study time should be spent in active recitation, not passive reading. Close the material. Say it back in your own words. Teach it to someone else, or to an empty chair if no one is around. The struggle of retrieval is where the actual learning happens. Reading your notes again is watching someone else do the work. His parting line has stayed with me longer than almost anything else I have read about learning. He told the room that if what he shared didn't change their behavior, they hadn't actually learned it. It would just live in their heads as something they had heard once and felt good about. He was right. And most people leave every lecture exactly like that. The students who remember everything aren't putting in more hours. They stopped confusing the feeling of studying with the fact of it.

Ihtesham Ali

1,917,662 Aufrufe • vor 5 Monaten

WHY YOU WAKE UP IN THE MIDDLE OF THE NIGHT Your brain has 20,000 neurons clustered in the hypothalamus. They form the suprachiasmatic nucleus. This is your master clock. It's been running since before birth. At 25, this clock kept you unconscious until morning. At 65, the same clock runs on less melatonin, weaker signals, and a rhythm that physically shifted 2-3 hours earlier. It fires a wake signal between 2-4 a.m. Four systems inside your body shifted with age. They converge at the same hour every night. The thoughts that arrive at 3 a.m. feel different from the same thoughts at 3 p.m. because your brain runs a different program in the dark. The part that would normally tell you those thoughts aren't emergencies is still asleep. THE CLOCK MOVED FORWARD The suprachiasmatic nucleus generates a near 24-hour rhythm controlling when you feel alert and when you feel sleepy. In young adults, peak sleepiness arrives around 11 p.m. Peak alertness arrives around 9-10 a.m. Blue light at 480 nanometers activates melanopsin cells in the retina. These cells send signals directly to the suprachiasmatic nucleus, synchronizing your clock to the day-night cycle. With age, the clock shifts earlier. This is circadian phase advance. The sleepiness signal arrives at 7-8 p.m. instead of 11 p.m. The wake signal arrives at 3-4 a.m. instead of 6-7 a.m. The entire sleep-wake window moves forward 2-3 hours. The suprachiasmatic nucleus itself degrades. Neurons deteriorate. The amplitude of the circadian signal weakens. Peaks become shallower. Troughs become less deep. The radio station loses transmitter power until the signal becomes fuzzy and inconsistent. The clock's sensitivity to light cues diminishes through two mechanisms. The aging lens yellows and thickens, filtering more blue light before it reaches the melanopsin cells. The suprachiasmatic neurons themselves respond less robustly to whatever signal does arrive. Weaker input through a cloudier window. Less responsive neurons processing that input. The clock drifts. When the circadian clock drifts without strong light cues, it drifts earlier. Phase advance is the default direction of an unanchored aging clock. MELATONIN COLLAPSED The pineal gland releases melatonin at night to initiate and maintain sleep. This hormone declines with age. The pineal gland calcifies gradually over decades, reducing functional tissue and capacity to produce melatonin. By 65, nighttime melatonin levels can be one-third to one-quarter of what they were at 30. Sometimes less. Melatonin doesn't just initiate sleep. It maintains depth and continuity across the full night. When melatonin is low, sleep is shallower, more fragmented, more vulnerable to interruption. Even if you fall asleep at a reasonable hour, low melatonin cannot hold you through to morning. Your body tries to put you to sleep at 8 p.m. and wake you at 3 a.m. That's a 7-hour sleep window. It might be enough sleep for your shifted clock. But you fight the 8 o'clock drowsiness. Social life, television, family, habit. You stay up until 10 or 11. The clock doesn't adjust to your social schedule. It fires the wake signal at 3 regardless. The clock runs on light and biology, not preferences. You lost 2-3 hours from the front of your sleep window by staying up late. The alarm still goes off on the original schedule. The 3 a.m. waking isn't a malfunction. It's your shifted clock doing exactly what it was programmed to do. This is social jet lag. The gap between your biological clock time and your social clock time creates the same physiological mismatch as flying across two or three time zones. Your body is in one time zone. Your social life is in another. The drowsiness you fight at 8 p.m. is your body's genuine sleep onset signal. The waking at 3 a.m. is your body's genuine wake signal. The problem isn't the signals. The problem is overriding one without being able to override the other. There's a compounding factor. The shifted clock means your body wants to sleep earlier. The reduced melatonin means it cannot hold sleep as deeply or as long. You're caught between two problems: a clock that fires the wake signal too early and a chemical supply that cannot maintain the sleep signal through the full night. Even if you went to bed at 8, the reduced melatonin might still fail to hold you past 3 or 4. The clock shifted the window. The melatonin shrank it. DEEP SLEEP DISAPPEARED Sleep cycles through stages roughly every 90 minutes. Light sleep, deeper sleep, deeper sleep, then REM. The stage that matters most for feeling rested is slow-wave sleep, stage N3, the deepest phase. Brainwaves drop to large, slow delta oscillations at 0.5-4 hertz. During slow-wave sleep, the glymphatic system activates. Cerebrospinal fluid flushes through brain tissue along channels that open when neurons shrink slightly during deep sleep. This clears metabolic waste: adenosine, the molecule that builds sleep pressure during the day, and amyloid beta proteins, the plaques associated with Alzheimer's disease. Growth hormone pulses during N3. Tissue repair peaks. Memory consolidation occurs. The hippocampus replays the day's experiences and transfers them to long-term cortical storage. This is the sleep that makes you feel like you actually slept. At 25, roughly 20% of the night is spent in slow-wave sleep. By 65, that drops to 10-15%. By 75, some people get almost none. My sleep tracker tells me that I almost never get less than 30%... and I'm 60. It is possible to have restorative deep sleep no matter what your age is. In my case even at lower sleep duration. High energy availability alsp plays a big role. The slow wave generating circuits in the medial prefrontal cortex usually deteriorate with age, producing weaker and less frequent delta oscillations. The deep sleep itself becomes shallower. The waves are smaller. The duration shorter. The restorative process is less complete. If deep sleep is the period when the brain clears amyloid beta, then reduced deep sleep means reduced clearance. Less deep sleep leads to more amyloid, which leads to less deep sleep, which leads to more amyloid. The relationship is bidirectional and self-reinforcing. If you never feel fully rested no matter how many hours you spend in bed, if 8 hours produces the recovery that 6 hours used to produce, if you wake in the morning with the sense that something was missing from the night, the missing component may be slow wave sleep. The hours were there. The depth was not. Slow-wave sleep that remains concentrates in the first half of the night, the first two to three sleep cycles. By 2-3 a.m., most of the deep sleep budget has been spent. What remains for the second half of the night is lighter stage one and stage two sleep, interspersed with REM. Light sleep has a dramatically lower arousal threshold. Stimuli that would not have registered during slow-wave sleep can push you above the waking threshold in light sleep. A slight temperature change in the room. A bathroom urge from a bladder that fills faster with age. A noise from outside. Even the natural shift in body position. You wake at 3 a.m. partly because the sleep you're in at 3 a.m. is physiologically different from the sleep you're in at midnight. The fortress walls got thinner as the night progressed. By 3 o'clock, you're sleeping behind a screen door instead of a vault. You could sleep through thunderstorms at 30. Now you wake at the sound of a refrigerator cycling on. The physics isn't about the noise. It's about the stage of sleep you're in when the noise arrives. At midnight, during slow-wave sleep, your arousal threshold is high. The brain runs delta waves that suppress responsiveness to external stimuli. At 3 a.m. in stage 1 or stage 2, the threshold has dropped to a fraction of its midnight level. The same sound that the sleeping brain would have filtered at midnight wakes you at 3 because the brain is no longer running the program that filters it. CORTISOL ARRIVED EARLY Your body runs a cortisol rhythm called the cortisol awakening response. In the final hours of sleep, the adrenal glands begin increasing cortisol output, preparing the body for waking. Mobilizing glucose into the bloodstream. Priming the immune system for the day's pathogens. Raising blood pressure and heart rate toward daytime operating levels. In a young adult, this cortisol rise begins around 4-5 a.m. and peaks roughly 30-45 minutes after waking. With age, the rise begins earlier. 2-3 a.m. in many older adults. Low-carb diets can also trigger a relatively strong cortisol release, waking you up early.. The same circadian phase advance that shifted the sleep-wake window also shifted the cortisol curve. Every rhythm the suprachiasmatic nucleus controls moves in the same direction. Cortisol alone doesn't wake you. But combined with already light sleep and a shifted circadian clock, the cortisol rise adds a third signal, pushing you toward wakefulness at precisely the hour when the other two systems have already weakened your defenses. Three systems converging on the same window. The clock says wake up. The sleep stage says the walls are thin. The cortisol says the body is preparing for morning. All three signals arrive at 3 a.m. Not by coincidence. All three are governed by the same shifted circadian master clock. If the waking comes at almost exactly the same time every night, not randomly scattered across the early morning hours but clustered within the same 30-minute window, that precision is the signature of a circadian event. Cortisol is antagonistic to melatonin. The two hormones suppress each other. Cortisol inhibits melatonin production. Melatonin suppresses cortisol. In a young person with high melatonin and correctly timed cortisol, the two hormones hand off smoothly. Melatonin dominates the night. Cortisol rises toward morning. The transition is seamless. In an aging body with depleted melatonin and early-arriving cortisol, the handoff happens too soon. When cortisol starts rising at 2-3 a.m. and melatonin is already low, the biochemical conditions for staying asleep collapse. The melatonin that should be holding you under is insufficient. The cortisol that should not be arriving for another two hours is already here. Two hormones that are supposed to hand off like relay runners, one finishing as the other begins, instead collide in the same hour because both shifted on the same aging clock. The balance tips toward waking. THE WORST THOUGHTS ARRIVE When you wake at 6-7 a.m., cortisol is high, light enters your eyes, and your prefrontal cortex comes online in its task-oriented mode. You think about what to do, what to eat, where to go. Executive function engages. The thinking is directed, practical, forward-looking. Problems that exist at 7 a.m. feel like problems to be solved. Manageable, bounded, addressable. When you wake at 3 a.m. in the dark with no tasks to perform and no light to signal daytime, a different network activates. The default mode network. The brain's self-referential processing system fires in the absence of external input and directed task. This is the rumination network. It runs replays of conversations you had years ago. It generates worry scenarios about events that may never happen. It revisits regrets from decades past with a vividness that feels more real than memory should. It rehearses confrontations that will never take place. It asks questions that have no answers at any hour, let alone at 3 a.m. At 3 a.m., the default mode network has nothing competing with it. No light. No task. No external stimulation. No social interaction. And the executive prefrontal cortex that would normally evaluate, contextualize, and override the rumination is still partially offline. The prefrontal cortex is the last brain region to fully activate upon waking. It requires light exposure and time to reach full operating capacity. This is the region that says this thought is not an emergency. This worry is not proportionate to reality. This problem can wait until morning and will look different then. At 3 a.m., that region is sleeping while the default mode network runs at full power. You're awake enough to think. But the thinking is the uncontrolled, self-referential, catastrophizing kind. The system that controls and contextualizes thought has not caught up with the system that generates it. The worry loop feels more intense at 3 a.m. than the same thoughts would feel at 3 p.m. because the brain regions that regulate emotional response and assign proportionality are not yet operational. You're running the worry software without the control software. The thoughts feel urgent and catastrophic because the part of your brain that would tell you they are neither is still asleep. The thoughts are not true in the way they feel true. They're running on hardware that cannot evaluate them yet. The 3 a.m. thoughts have a specific quality that daytime worry doesn't. A sense of certainty. Of inevitability. Of problems being larger and solutions being fewer than they actually are. The distortion isn't emotional. It's architectural. The brain regions that generate worry are online. The brain regions that evaluate worry are not. By 7 a.m., when the prefrontal cortex has fully activated and light has entered the eyes and cortisol has reached its appropriate peak, the same problems that felt catastrophic at 3 a.m. feel manageable. Nothing changed about the problems. Everything changed about which brain regions are processing them. If you've lain in the dark at 3 a.m. and felt that your problems were larger, your regrets sharper, your fears more certain than they would be by breakfast, that wasn't weakness. It wasn't anxiety disorder. It was the default mode network running without prefrontal supervision, amplified by cortisol that arrived early, in a brain that had already run through its deep sleep budget and could not pull you back under. Four systems, all doing what the physics of aging programmed them to do, all converging on the same hour. Subscribers have access to detailed practical applications of remedies in a second attached post.
5:35

WHY YOU WAKE UP IN THE MIDDLE OF THE NIGHT Your brain has 20,000 neurons clustered in the hypothalamus. They form the suprachiasmatic nucleus. This is your master clock. It's been running since before birth. At 25, this clock kept you unconscious until morning. At 65, the same clock runs on less melatonin, weaker signals, and a rhythm that physically shifted 2-3 hours earlier. It fires a wake signal between 2-4 a.m. Four systems inside your body shifted with age. They converge at the same hour every night. The thoughts that arrive at 3 a.m. feel different from the same thoughts at 3 p.m. because your brain runs a different program in the dark. The part that would normally tell you those thoughts aren't emergencies is still asleep. THE CLOCK MOVED FORWARD The suprachiasmatic nucleus generates a near 24-hour rhythm controlling when you feel alert and when you feel sleepy. In young adults, peak sleepiness arrives around 11 p.m. Peak alertness arrives around 9-10 a.m. Blue light at 480 nanometers activates melanopsin cells in the retina. These cells send signals directly to the suprachiasmatic nucleus, synchronizing your clock to the day-night cycle. With age, the clock shifts earlier. This is circadian phase advance. The sleepiness signal arrives at 7-8 p.m. instead of 11 p.m. The wake signal arrives at 3-4 a.m. instead of 6-7 a.m. The entire sleep-wake window moves forward 2-3 hours. The suprachiasmatic nucleus itself degrades. Neurons deteriorate. The amplitude of the circadian signal weakens. Peaks become shallower. Troughs become less deep. The radio station loses transmitter power until the signal becomes fuzzy and inconsistent. The clock's sensitivity to light cues diminishes through two mechanisms. The aging lens yellows and thickens, filtering more blue light before it reaches the melanopsin cells. The suprachiasmatic neurons themselves respond less robustly to whatever signal does arrive. Weaker input through a cloudier window. Less responsive neurons processing that input. The clock drifts. When the circadian clock drifts without strong light cues, it drifts earlier. Phase advance is the default direction of an unanchored aging clock. MELATONIN COLLAPSED The pineal gland releases melatonin at night to initiate and maintain sleep. This hormone declines with age. The pineal gland calcifies gradually over decades, reducing functional tissue and capacity to produce melatonin. By 65, nighttime melatonin levels can be one-third to one-quarter of what they were at 30. Sometimes less. Melatonin doesn't just initiate sleep. It maintains depth and continuity across the full night. When melatonin is low, sleep is shallower, more fragmented, more vulnerable to interruption. Even if you fall asleep at a reasonable hour, low melatonin cannot hold you through to morning. Your body tries to put you to sleep at 8 p.m. and wake you at 3 a.m. That's a 7-hour sleep window. It might be enough sleep for your shifted clock. But you fight the 8 o'clock drowsiness. Social life, television, family, habit. You stay up until 10 or 11. The clock doesn't adjust to your social schedule. It fires the wake signal at 3 regardless. The clock runs on light and biology, not preferences. You lost 2-3 hours from the front of your sleep window by staying up late. The alarm still goes off on the original schedule. The 3 a.m. waking isn't a malfunction. It's your shifted clock doing exactly what it was programmed to do. This is social jet lag. The gap between your biological clock time and your social clock time creates the same physiological mismatch as flying across two or three time zones. Your body is in one time zone. Your social life is in another. The drowsiness you fight at 8 p.m. is your body's genuine sleep onset signal. The waking at 3 a.m. is your body's genuine wake signal. The problem isn't the signals. The problem is overriding one without being able to override the other. There's a compounding factor. The shifted clock means your body wants to sleep earlier. The reduced melatonin means it cannot hold sleep as deeply or as long. You're caught between two problems: a clock that fires the wake signal too early and a chemical supply that cannot maintain the sleep signal through the full night. Even if you went to bed at 8, the reduced melatonin might still fail to hold you past 3 or 4. The clock shifted the window. The melatonin shrank it. DEEP SLEEP DISAPPEARED Sleep cycles through stages roughly every 90 minutes. Light sleep, deeper sleep, deeper sleep, then REM. The stage that matters most for feeling rested is slow-wave sleep, stage N3, the deepest phase. Brainwaves drop to large, slow delta oscillations at 0.5-4 hertz. During slow-wave sleep, the glymphatic system activates. Cerebrospinal fluid flushes through brain tissue along channels that open when neurons shrink slightly during deep sleep. This clears metabolic waste: adenosine, the molecule that builds sleep pressure during the day, and amyloid beta proteins, the plaques associated with Alzheimer's disease. Growth hormone pulses during N3. Tissue repair peaks. Memory consolidation occurs. The hippocampus replays the day's experiences and transfers them to long-term cortical storage. This is the sleep that makes you feel like you actually slept. At 25, roughly 20% of the night is spent in slow-wave sleep. By 65, that drops to 10-15%. By 75, some people get almost none. My sleep tracker tells me that I almost never get less than 30%... and I'm 60. It is possible to have restorative deep sleep no matter what your age is. In my case even at lower sleep duration. High energy availability alsp plays a big role. The slow wave generating circuits in the medial prefrontal cortex usually deteriorate with age, producing weaker and less frequent delta oscillations. The deep sleep itself becomes shallower. The waves are smaller. The duration shorter. The restorative process is less complete. If deep sleep is the period when the brain clears amyloid beta, then reduced deep sleep means reduced clearance. Less deep sleep leads to more amyloid, which leads to less deep sleep, which leads to more amyloid. The relationship is bidirectional and self-reinforcing. If you never feel fully rested no matter how many hours you spend in bed, if 8 hours produces the recovery that 6 hours used to produce, if you wake in the morning with the sense that something was missing from the night, the missing component may be slow wave sleep. The hours were there. The depth was not. Slow-wave sleep that remains concentrates in the first half of the night, the first two to three sleep cycles. By 2-3 a.m., most of the deep sleep budget has been spent. What remains for the second half of the night is lighter stage one and stage two sleep, interspersed with REM. Light sleep has a dramatically lower arousal threshold. Stimuli that would not have registered during slow-wave sleep can push you above the waking threshold in light sleep. A slight temperature change in the room. A bathroom urge from a bladder that fills faster with age. A noise from outside. Even the natural shift in body position. You wake at 3 a.m. partly because the sleep you're in at 3 a.m. is physiologically different from the sleep you're in at midnight. The fortress walls got thinner as the night progressed. By 3 o'clock, you're sleeping behind a screen door instead of a vault. You could sleep through thunderstorms at 30. Now you wake at the sound of a refrigerator cycling on. The physics isn't about the noise. It's about the stage of sleep you're in when the noise arrives. At midnight, during slow-wave sleep, your arousal threshold is high. The brain runs delta waves that suppress responsiveness to external stimuli. At 3 a.m. in stage 1 or stage 2, the threshold has dropped to a fraction of its midnight level. The same sound that the sleeping brain would have filtered at midnight wakes you at 3 because the brain is no longer running the program that filters it. CORTISOL ARRIVED EARLY Your body runs a cortisol rhythm called the cortisol awakening response. In the final hours of sleep, the adrenal glands begin increasing cortisol output, preparing the body for waking. Mobilizing glucose into the bloodstream. Priming the immune system for the day's pathogens. Raising blood pressure and heart rate toward daytime operating levels. In a young adult, this cortisol rise begins around 4-5 a.m. and peaks roughly 30-45 minutes after waking. With age, the rise begins earlier. 2-3 a.m. in many older adults. Low-carb diets can also trigger a relatively strong cortisol release, waking you up early.. The same circadian phase advance that shifted the sleep-wake window also shifted the cortisol curve. Every rhythm the suprachiasmatic nucleus controls moves in the same direction. Cortisol alone doesn't wake you. But combined with already light sleep and a shifted circadian clock, the cortisol rise adds a third signal, pushing you toward wakefulness at precisely the hour when the other two systems have already weakened your defenses. Three systems converging on the same window. The clock says wake up. The sleep stage says the walls are thin. The cortisol says the body is preparing for morning. All three signals arrive at 3 a.m. Not by coincidence. All three are governed by the same shifted circadian master clock. If the waking comes at almost exactly the same time every night, not randomly scattered across the early morning hours but clustered within the same 30-minute window, that precision is the signature of a circadian event. Cortisol is antagonistic to melatonin. The two hormones suppress each other. Cortisol inhibits melatonin production. Melatonin suppresses cortisol. In a young person with high melatonin and correctly timed cortisol, the two hormones hand off smoothly. Melatonin dominates the night. Cortisol rises toward morning. The transition is seamless. In an aging body with depleted melatonin and early-arriving cortisol, the handoff happens too soon. When cortisol starts rising at 2-3 a.m. and melatonin is already low, the biochemical conditions for staying asleep collapse. The melatonin that should be holding you under is insufficient. The cortisol that should not be arriving for another two hours is already here. Two hormones that are supposed to hand off like relay runners, one finishing as the other begins, instead collide in the same hour because both shifted on the same aging clock. The balance tips toward waking. THE WORST THOUGHTS ARRIVE When you wake at 6-7 a.m., cortisol is high, light enters your eyes, and your prefrontal cortex comes online in its task-oriented mode. You think about what to do, what to eat, where to go. Executive function engages. The thinking is directed, practical, forward-looking. Problems that exist at 7 a.m. feel like problems to be solved. Manageable, bounded, addressable. When you wake at 3 a.m. in the dark with no tasks to perform and no light to signal daytime, a different network activates. The default mode network. The brain's self-referential processing system fires in the absence of external input and directed task. This is the rumination network. It runs replays of conversations you had years ago. It generates worry scenarios about events that may never happen. It revisits regrets from decades past with a vividness that feels more real than memory should. It rehearses confrontations that will never take place. It asks questions that have no answers at any hour, let alone at 3 a.m. At 3 a.m., the default mode network has nothing competing with it. No light. No task. No external stimulation. No social interaction. And the executive prefrontal cortex that would normally evaluate, contextualize, and override the rumination is still partially offline. The prefrontal cortex is the last brain region to fully activate upon waking. It requires light exposure and time to reach full operating capacity. This is the region that says this thought is not an emergency. This worry is not proportionate to reality. This problem can wait until morning and will look different then. At 3 a.m., that region is sleeping while the default mode network runs at full power. You're awake enough to think. But the thinking is the uncontrolled, self-referential, catastrophizing kind. The system that controls and contextualizes thought has not caught up with the system that generates it. The worry loop feels more intense at 3 a.m. than the same thoughts would feel at 3 p.m. because the brain regions that regulate emotional response and assign proportionality are not yet operational. You're running the worry software without the control software. The thoughts feel urgent and catastrophic because the part of your brain that would tell you they are neither is still asleep. The thoughts are not true in the way they feel true. They're running on hardware that cannot evaluate them yet. The 3 a.m. thoughts have a specific quality that daytime worry doesn't. A sense of certainty. Of inevitability. Of problems being larger and solutions being fewer than they actually are. The distortion isn't emotional. It's architectural. The brain regions that generate worry are online. The brain regions that evaluate worry are not. By 7 a.m., when the prefrontal cortex has fully activated and light has entered the eyes and cortisol has reached its appropriate peak, the same problems that felt catastrophic at 3 a.m. feel manageable. Nothing changed about the problems. Everything changed about which brain regions are processing them. If you've lain in the dark at 3 a.m. and felt that your problems were larger, your regrets sharper, your fears more certain than they would be by breakfast, that wasn't weakness. It wasn't anxiety disorder. It was the default mode network running without prefrontal supervision, amplified by cortisol that arrived early, in a brain that had already run through its deep sleep budget and could not pull you back under. Four systems, all doing what the physics of aging programmed them to do, all converging on the same hour. Subscribers have access to detailed practical applications of remedies in a second attached post.

Metabolic Uncle

12,138 Aufrufe • vor 5 Monaten

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one
1:43

SOMEONE FROM THE ANTHROPIC TEAM LEAKED THEIR OBSIDIAN SETUP. 8 MILLION PEOPLE SAW HOW HE ACTUALLY USES CLAUDE the funniest part? all of this information was sitting in claude's documentation from day one. nobody read it one guy did, packed it into a 9-step guide and posted it. and it broke the internet. 4,100 likes, 800 retweets, then china picked it up and 8 million views want to know what's in it? one file. called CLAUDE.md. it holds everything about you: how you think, what you're working on, where you get stuck, even how you want the ai to talk to you. claude reads it first every single session one file changed everything. because now ai doesn't open with "how can i help?" it already knows. it remembers your projects, sees your goals, catches moments where you're contradicting yourself people spent years searching for the perfect prompt. the right temperature. the magic formula. and the answer turned out to be not how you ask ai. but what ai knows about you before you even open your mouth then the guy went deeper. taught claude to work on a schedule. every morning at 7am the ai walks through all notes on its own, finds new stuff, links it, cleans what's stale. no command. no reminder and all of this runs on obsidian. free app. text files on your drive. no cloud, no lock-in. switch models tomorrow and the folder keeps working the most liked comment under the original post: "this is the difference between using ai and building a system. most people won't realize it until they waste hundreds of hours repeating themselves" hundreds of hours. you've already spent some of them full guide in the video. i break down finds like this every day - follow so you don't miss the next one

kai

174,650 Aufrufe • vor 2 Monaten

I gave Elon Musk's new Grok Bot an org chart instead of a to-do list, and in one week I stopped being a founder who does the work and became one who assigns it. eight bots. one org chart. nobody sleeps but me. here's the whole design, steal it. step 1 → 0:01 What we're covering step 2 → 2:01 Installation & Setup step 3 → 3:14 Building the First Bot step 4 → 8:18 Teaching by Screen Recording step 5 → 14:18 Putting it All Together THE ROSTER: Atlas, chief of staff. the only bot I talk to. I give it outcomes, never tasks. it decomposes them and delegates to the team in group chat, and it never does specialist work itself. it posts the plan every morning and what shipped every night, and it only comes to me when a decision is irreversible or spends money. Scout, research. finds and qualifies my ICP. every day: 25 verified prospects, one line on why they need us right now, and a source. if it can't verify, it marks it unverified. it never guesses. Quill, content. turns what the company learned this week into 5 posts and 1 long piece, in my voice, matched from the last 50 things I wrote. drafts only, it never publishes. Pitch, outbound. writes a first touch and two follow-ups for everyone Scout marks ready. 60 words max, one specific observation about their business, one clear ask. queued in drafts, I approve in bulk. Vault, inbox and ops. triages everything into needs-me, needs-a-bot, needs-nothing. it handles the last, routes the middle, and gives me five bullets on the first by 9am. Ledger, analyst. one report a night: what moved, what didn't, and the single number I should care about tomorrow. no dashboards, no adjectives. HOW THEY'RE WIRED one group chat per outcome, not per person. Atlas sits in all of them. the bots hand off inside the chat, so I only read the handoff, I never manage it. two rules that made this actually work: 1. every charter ends with a hard "never do this without asking" line. autonomy without a fence is just chaos on a schedule. 2. show once, don't describe. I ran the full workflow on my screen one time. that single demo taught them more than a page of instructions ever could. WEEK ONE 214 verified prospects delivered. 89 personalized outreaches queued and approved. inbox at zero every morning. 11 content pieces ready. THE POINT most people are still treating Grok Bot like a smarter chat window. it isn't. it's the first time one person can own an org chart instead of a to-do list. my bottleneck was never how much I could do, it was how much I could hand off. bookmark this.
18:40

I gave Elon Musk's new Grok Bot an org chart instead of a to-do list, and in one week I stopped being a founder who does the work and became one who assigns it. eight bots. one org chart. nobody sleeps but me. here's the whole design, steal it. step 1 → 0:01 What we're covering step 2 → 2:01 Installation & Setup step 3 → 3:14 Building the First Bot step 4 → 8:18 Teaching by Screen Recording step 5 → 14:18 Putting it All Together THE ROSTER: Atlas, chief of staff. the only bot I talk to. I give it outcomes, never tasks. it decomposes them and delegates to the team in group chat, and it never does specialist work itself. it posts the plan every morning and what shipped every night, and it only comes to me when a decision is irreversible or spends money. Scout, research. finds and qualifies my ICP. every day: 25 verified prospects, one line on why they need us right now, and a source. if it can't verify, it marks it unverified. it never guesses. Quill, content. turns what the company learned this week into 5 posts and 1 long piece, in my voice, matched from the last 50 things I wrote. drafts only, it never publishes. Pitch, outbound. writes a first touch and two follow-ups for everyone Scout marks ready. 60 words max, one specific observation about their business, one clear ask. queued in drafts, I approve in bulk. Vault, inbox and ops. triages everything into needs-me, needs-a-bot, needs-nothing. it handles the last, routes the middle, and gives me five bullets on the first by 9am. Ledger, analyst. one report a night: what moved, what didn't, and the single number I should care about tomorrow. no dashboards, no adjectives. HOW THEY'RE WIRED one group chat per outcome, not per person. Atlas sits in all of them. the bots hand off inside the chat, so I only read the handoff, I never manage it. two rules that made this actually work: 1. every charter ends with a hard "never do this without asking" line. autonomy without a fence is just chaos on a schedule. 2. show once, don't describe. I ran the full workflow on my screen one time. that single demo taught them more than a page of instructions ever could. WEEK ONE 214 verified prospects delivered. 89 personalized outreaches queued and approved. inbox at zero every morning. 11 content pieces ready. THE POINT most people are still treating Grok Bot like a smarter chat window. it isn't. it's the first time one person can own an org chart instead of a to-do list. my bottleneck was never how much I could do, it was how much I could hand off. bookmark this.

Ridark

1,277,636 Aufrufe • vor 1 Monat

The Path to Trading Mastery: Research and Pattern Recognition By Qullamaggie 1. Step-by-Step Market Research The easiest way to start is to research the markets thoroughly. First, get a platform like TC2000 and set your charts to the monthly timeframe. Create a watchlist of all US stocks and filter them by dollar volume instead of just share volume. Aim for liquid names—those with at least $1 billion to $10 billion in monthly dollar volume—to avoid "super thin" or illiquid stocks. 2. Identifying the Big Movers Go through the entire database (roughly 5,000 stocks) and identify the outliers. Look for stocks that: At least doubled in price within six months. Increased 200–300% within a single year. Gained 400–500% over three to four years. Create a separate watchlist for every single stock that has made these massive moves. You will likely end up with a few hundred highly liquid, historical winners. 3. Studying Chart Patterns Go back as far as the 80s or 90s and study their chart patterns. Stocks move in very specific ways. These same patterns occur over and over again—there is nothing truly new in the markets. While there are variations, the patterns that worked in the 90s are the same ones you see today. Focus primarily on price action. You can add a few indicators if you wish—I recommend moving averages—but don't use too many. "Too many indicators is for suckers." Study how these big winners acted during pullbacks: Which moving averages did the best stocks respect or "obey"? How did they behave before the breakout? How did they act once the move was underway? 4. Building Your Mental Database (The 2,000-Hour Rule) Your goal is to build a database in your head. Spend 1,000 hours doing exactly this: printing out charts, studying them, and saving them. (I personally use Evernote to store tens of thousands of these charts). Once you understand the price action, spend another 1,000 hours researching the fundamentals and the news behind those moves. What was driving them? What made a stock go up 500% in a year? If you put in those 2,000 hours of deep research, I promise you: before you know it, you’re going to have ten million dollars in your account.
2:08

The Path to Trading Mastery: Research and Pattern Recognition By Qullamaggie 1. Step-by-Step Market Research The easiest way to start is to research the markets thoroughly. First, get a platform like TC2000 and set your charts to the monthly timeframe. Create a watchlist of all US stocks and filter them by dollar volume instead of just share volume. Aim for liquid names—those with at least $1 billion to $10 billion in monthly dollar volume—to avoid "super thin" or illiquid stocks. 2. Identifying the Big Movers Go through the entire database (roughly 5,000 stocks) and identify the outliers. Look for stocks that: At least doubled in price within six months. Increased 200–300% within a single year. Gained 400–500% over three to four years. Create a separate watchlist for every single stock that has made these massive moves. You will likely end up with a few hundred highly liquid, historical winners. 3. Studying Chart Patterns Go back as far as the 80s or 90s and study their chart patterns. Stocks move in very specific ways. These same patterns occur over and over again—there is nothing truly new in the markets. While there are variations, the patterns that worked in the 90s are the same ones you see today. Focus primarily on price action. You can add a few indicators if you wish—I recommend moving averages—but don't use too many. "Too many indicators is for suckers." Study how these big winners acted during pullbacks: Which moving averages did the best stocks respect or "obey"? How did they behave before the breakout? How did they act once the move was underway? 4. Building Your Mental Database (The 2,000-Hour Rule) Your goal is to build a database in your head. Spend 1,000 hours doing exactly this: printing out charts, studying them, and saving them. (I personally use Evernote to store tens of thousands of these charts). Once you understand the price action, spend another 1,000 hours researching the fundamentals and the news behind those moves. What was driving them? What made a stock go up 500% in a year? If you put in those 2,000 hours of deep research, I promise you: before you know it, you’re going to have ten million dollars in your account.

Will Hu

54,905 Aufrufe • vor 6 Monaten

HERMES AGENT SHIPS WITH A BUNDLED SKILL FOR ANDREJ KARPATHY'S LLM WIKI PATTERN. A SELF-IMPROVING KNOWLEDGE BASE THAT GROWS EVERY TIME YOU FEED IT. mentioned this briefly in the overnight workflow article. here is the full breakdown. what it is: a self-improving knowledge base built as interlinked markdown files. unlike RAG (which rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. cross-references stay linked. contradictions get flagged automatically. synthesis reflects everything ingested so far. why this matters for Hermes memory: Hermes built-in memory knows YOU. it remembers your conversations, your preferences, your business context across sessions. but it doesn't know your inbox. or your meeting transcripts. or that article you saved last week. or the expert framework you want it to learn. the LLM Wiki solves that. THE DIVISION OF LABOR human curates sources and directs analysis. agent summarizes, cross-references, files, and maintains consistency. you drop in articles, transcripts, notes. Hermes indexes them, links related concepts, flags contradictions, updates affected pages. your knowledge base grows itself. SETUP IS ONE COMMAND the skill ships with Hermes. enable it. set WIKI_PATH in ~/.hermes/.env: WIKI_PATH=/Users/you/wiki defaults to ~/wiki if unset. then drop anything into it: "index this article into my wiki: [paste URL or text]" Hermes reads it, builds a source page, updates related entries, flags contradictions. THE OBSIDIAN ANGLE set OBSIDIAN_VAULT_PATH to the same directory. now your wiki is visible in Obsidian's graph view. nodes, links, backlinks. all built by Hermes. for headless servers: install obsidian-headless. syncs vaults without a GUI. agent writes from the server, you read on your laptop. THE COMPOUND EFFECT Hermes knows you. the wiki knows your world. combine them and the agent answers questions using BOTH contexts at once. month 1: you explain things twice. month 3: the agent references the wiki on its own. answers get sharper because the knowledge base got sharper. AUTOMATIONS THAT FEED THE WIKI set cron jobs to ingest automatically: "every day at 9am, check Granola for new meetings. add any new transcripts to my wiki under meeting notes." "every morning, scan my Gmail starred items. add anything worth keeping to the wiki." "every week, check arXiv for new papers in [your niche]. summarize and file." your wiki grows while you sleep. Hermes never forgets what gets indexed. THE LIMITATION TO KNOW unlike Hermes memory (which is conversational and lives across sessions), the wiki is a separate knowledge layer. Hermes won't pull from the wiki automatically unless you reference it or save it as a skill. best setup: build an LLM Wiki personality that tells Hermes to consult the wiki when answering strategy questions or domain-specific queries. full HERMES AGENT OVERNIGHT WORKFLOW👇
14:28

HERMES AGENT SHIPS WITH A BUNDLED SKILL FOR ANDREJ KARPATHY'S LLM WIKI PATTERN. A SELF-IMPROVING KNOWLEDGE BASE THAT GROWS EVERY TIME YOU FEED IT. mentioned this briefly in the overnight workflow article. here is the full breakdown. what it is: a self-improving knowledge base built as interlinked markdown files. unlike RAG (which rediscovers knowledge from scratch every query), the wiki compiles knowledge once and keeps it current. cross-references stay linked. contradictions get flagged automatically. synthesis reflects everything ingested so far. why this matters for Hermes memory: Hermes built-in memory knows YOU. it remembers your conversations, your preferences, your business context across sessions. but it doesn't know your inbox. or your meeting transcripts. or that article you saved last week. or the expert framework you want it to learn. the LLM Wiki solves that. THE DIVISION OF LABOR human curates sources and directs analysis. agent summarizes, cross-references, files, and maintains consistency. you drop in articles, transcripts, notes. Hermes indexes them, links related concepts, flags contradictions, updates affected pages. your knowledge base grows itself. SETUP IS ONE COMMAND the skill ships with Hermes. enable it. set WIKI_PATH in ~/.hermes/.env: WIKI_PATH=/Users/you/wiki defaults to ~/wiki if unset. then drop anything into it: "index this article into my wiki: [paste URL or text]" Hermes reads it, builds a source page, updates related entries, flags contradictions. THE OBSIDIAN ANGLE set OBSIDIAN_VAULT_PATH to the same directory. now your wiki is visible in Obsidian's graph view. nodes, links, backlinks. all built by Hermes. for headless servers: install obsidian-headless. syncs vaults without a GUI. agent writes from the server, you read on your laptop. THE COMPOUND EFFECT Hermes knows you. the wiki knows your world. combine them and the agent answers questions using BOTH contexts at once. month 1: you explain things twice. month 3: the agent references the wiki on its own. answers get sharper because the knowledge base got sharper. AUTOMATIONS THAT FEED THE WIKI set cron jobs to ingest automatically: "every day at 9am, check Granola for new meetings. add any new transcripts to my wiki under meeting notes." "every morning, scan my Gmail starred items. add anything worth keeping to the wiki." "every week, check arXiv for new papers in [your niche]. summarize and file." your wiki grows while you sleep. Hermes never forgets what gets indexed. THE LIMITATION TO KNOW unlike Hermes memory (which is conversational and lives across sessions), the wiki is a separate knowledge layer. Hermes won't pull from the wiki automatically unless you reference it or save it as a skill. best setup: build an LLM Wiki personality that tells Hermes to consult the wiki when answering strategy questions or domain-specific queries. full HERMES AGENT OVERNIGHT WORKFLOW👇

YanXbt

30,804 Aufrufe • vor 3 Monaten

A new father became so terrified of never learning anything again that he accidentally dismantled the biggest lie in education. His name is Josh Kaufman, and he wasn't a neuroscientist or a professor. He was an author working from home, running a business with his wife, with a newborn daughter who had just obliterated any concept of free time he thought he had. Around week 8 of sleep deprivation, he had the thought every parent has. I am never going to learn anything new ever again. And because he was the kind of person who responds to panic with research, he went to the library and started reading everything he could find about how humans acquire skills. He read book after book, study after study. Every single one said the same thing. 10,000 hours. He had a full-body reaction to that number. 10,000 hours is a full-time job for five years. He didn't have five years. He didn't have five hours. He had a newborn and a business and a wife who was also building a business in the same house. So he kept digging. And here is where it gets interesting. The 10,000 hour rule came from a researcher named K. Anders Ericsson at Florida State University. What Ericsson actually studied was professional athletes, world-class musicians, chess grandmasters people at the absolute tip of ultra-competitive, ultra-high-performing fields. His finding was that the people at the very top of those narrow fields had put in around 10,000 hours of deliberate practice. That is all the finding said. Then Malcolm Gladwell wrote Outliers in 2007, and the message went through a game of telephone that destroyed its meaning entirely. It takes 10,000 hours to reach the top of an ultra-competitive field became it takes 10,000 hours to become an expert, which became it takes 10,000 hours to become good at something, which became it takes 10,000 hours to learn something. That last statement is completely false. And the actual research had been showing something different the entire time. When cognitive psychologists study skill acquisition, they measure a graph that looks identical across every domain they have ever tested. At the start, performance is terrible. With a small amount of practice, it improves rapidly. Then it plateaus, and subsequent gains become much harder and slower to achieve. The steep part of that curve the jump from knowing nothing to being reasonably good happens much faster than anyone tells you. Not 10,000 hours. Not 1,000 hours. 20 hours. Kaufman tested this himself. He had always wanted to learn ukulele. He picked one up, put 20 hours of focused deliberate practice into it, and stood on a TEDx stage playing a medley of recognizable pop songs in front of a live audience. The crowd went wild. He then told them that performance was his 20th hour. But 20 hours is not just a number. There is a method inside it. The first step is to deconstruct the skill. Most things we think of as single skills are actually bundles of dozens of smaller skills. You do not need all of them. You need the ones that get you to your specific goal the fastest. In music, this means most songs use four or five chords. Learn those first. Ignore the rest until they matter. The second step is to learn just enough to self-correct. Get three to five resources books, courses, videos but do not use them as a reason to delay practice. The point of learning is not to master theory first. It is to get good enough at noticing your own mistakes that you can adjust as you go. The third step is to remove barriers to practice. Not through willpower. Through structure. If the instrument is in the case in the closet, you will not play it. If your phone is in the room, you will not focus. Kaufman was brutal about this. The environment does the work that discipline cannot sustain. The fourth step is the one that actually makes the system work. Pre-commit to 20 hours before you start. Here is why this matters. Every skill has what he called a frustration barrier. The early part of learning anything is genuinely terrible. You are incompetent and you know it. That feeling is so uncomfortable that most people quit before they ever cross to the other side of the curve. By pre-committing to 20 hours, you are making a contract with yourself to push through the frustration long enough to arrive at the part where things start clicking. The barrier to learning something new is never intellectual. It is emotional. We are afraid of feeling stupid. That fear costs most people everything they could have learned. Kaufman figured this out while holding a baby and running out of time, which is the most human possible condition for having a breakthrough. Most people are waiting for the perfect season to start. He just started. 20 hours is 45 minutes a day for a month. That is it. That is the price of going from knowing nothing to being genuinely capable at almost anything you can name. The 10,000 hour rule was never about learning. It was about becoming the best in the world. You probably do not need to be the best in the world. You just need to start.
19:26

A new father became so terrified of never learning anything again that he accidentally dismantled the biggest lie in education. His name is Josh Kaufman, and he wasn't a neuroscientist or a professor. He was an author working from home, running a business with his wife, with a newborn daughter who had just obliterated any concept of free time he thought he had. Around week 8 of sleep deprivation, he had the thought every parent has. I am never going to learn anything new ever again. And because he was the kind of person who responds to panic with research, he went to the library and started reading everything he could find about how humans acquire skills. He read book after book, study after study. Every single one said the same thing. 10,000 hours. He had a full-body reaction to that number. 10,000 hours is a full-time job for five years. He didn't have five years. He didn't have five hours. He had a newborn and a business and a wife who was also building a business in the same house. So he kept digging. And here is where it gets interesting. The 10,000 hour rule came from a researcher named K. Anders Ericsson at Florida State University. What Ericsson actually studied was professional athletes, world-class musicians, chess grandmasters people at the absolute tip of ultra-competitive, ultra-high-performing fields. His finding was that the people at the very top of those narrow fields had put in around 10,000 hours of deliberate practice. That is all the finding said. Then Malcolm Gladwell wrote Outliers in 2007, and the message went through a game of telephone that destroyed its meaning entirely. It takes 10,000 hours to reach the top of an ultra-competitive field became it takes 10,000 hours to become an expert, which became it takes 10,000 hours to become good at something, which became it takes 10,000 hours to learn something. That last statement is completely false. And the actual research had been showing something different the entire time. When cognitive psychologists study skill acquisition, they measure a graph that looks identical across every domain they have ever tested. At the start, performance is terrible. With a small amount of practice, it improves rapidly. Then it plateaus, and subsequent gains become much harder and slower to achieve. The steep part of that curve the jump from knowing nothing to being reasonably good happens much faster than anyone tells you. Not 10,000 hours. Not 1,000 hours. 20 hours. Kaufman tested this himself. He had always wanted to learn ukulele. He picked one up, put 20 hours of focused deliberate practice into it, and stood on a TEDx stage playing a medley of recognizable pop songs in front of a live audience. The crowd went wild. He then told them that performance was his 20th hour. But 20 hours is not just a number. There is a method inside it. The first step is to deconstruct the skill. Most things we think of as single skills are actually bundles of dozens of smaller skills. You do not need all of them. You need the ones that get you to your specific goal the fastest. In music, this means most songs use four or five chords. Learn those first. Ignore the rest until they matter. The second step is to learn just enough to self-correct. Get three to five resources books, courses, videos but do not use them as a reason to delay practice. The point of learning is not to master theory first. It is to get good enough at noticing your own mistakes that you can adjust as you go. The third step is to remove barriers to practice. Not through willpower. Through structure. If the instrument is in the case in the closet, you will not play it. If your phone is in the room, you will not focus. Kaufman was brutal about this. The environment does the work that discipline cannot sustain. The fourth step is the one that actually makes the system work. Pre-commit to 20 hours before you start. Here is why this matters. Every skill has what he called a frustration barrier. The early part of learning anything is genuinely terrible. You are incompetent and you know it. That feeling is so uncomfortable that most people quit before they ever cross to the other side of the curve. By pre-committing to 20 hours, you are making a contract with yourself to push through the frustration long enough to arrive at the part where things start clicking. The barrier to learning something new is never intellectual. It is emotional. We are afraid of feeling stupid. That fear costs most people everything they could have learned. Kaufman figured this out while holding a baby and running out of time, which is the most human possible condition for having a breakthrough. Most people are waiting for the perfect season to start. He just started. 20 hours is 45 minutes a day for a month. That is it. That is the price of going from knowing nothing to being genuinely capable at almost anything you can name. The 10,000 hour rule was never about learning. It was about becoming the best in the world. You probably do not need to be the best in the world. You just need to start.

Ihtesham Ali

44,915 Aufrufe • vor 5 Monaten

Moneytaur study blueprint 🗺️ The process I used to go from not knowing what an order block is to pulling cash from the crypto markets in under 6 months using 🎯 Master concepts. Proof of performance, past 120 days👇 Start date: 09/03/2025 Requirements: - A PC/laptop - Wifi - A basic understanding of trading. ( What candlesticks are, how to actually place trades , etc ) - A free mind - Time or the ability to free up time. Starting: - Structure and routine - Stick to that routine + Pre mortem plan. - Notion / Obsidian setup. The first thing you need to create is a clear routine moulded around how you intend to approach this very large and complex task. This will not be linear and you will naturally adapt it as you progress but especially in the beginning some resemblance of structure each day is vital. This is an individual process but it is important to understand from the beginning that this will require a majority of your free time assuming you work a full time Job or study as a student. For me in the beginning this looked like: - Wake up at 6:30. - Shower - Study/work for 1h 45m before leaving for work. - 09:00 -> 17:00 work - 17:30 Exercise / Train - Eat - 19:00 resume study/work - 22:30 Start to wind down and get ready to sleep. It changed several times over the months and especially now I am full time but this is irrelevant, the only thing that matters is sticking with what you choose. Whatever your own routine may look like, it is important to understand it will inevitably require sacrifice. --- The next thing once you have established a draft framework of your routine is ensuring you will actually stick to that routine. Something I implemented which I found particularly beneficial was the concept of a Pre-Mortem plan. This involves creating several scenarios of a future in which you have failed and working backwards from each of these to find where it went wrong. Here is a video which explains it fully: When I did this I came up with 3 scenarios as well as prevention and cure for each. In the 6 months that followed each scenario presented at some point but I was able to catch them early due to having done this. The last thing is to not over complicate this, don't hyper focus on systems and loose momentum optimizing each detail. Just ensure you do the fucking work. I was a little guilty of the above at times, trying to craft the perfect routine. In reality the person who just gets up, drinks too much coffee and works his ass off out performs the workflow perfectionist who visualizes and repeats affirmations, any day of the week. --- Next you need somewhere to store your notes, journal your trades and build your knowledge. For me this was Obsidian but I have also used Notion before and it is an equally viable option. Whichever one of these you choose be warned you will inevitably want to bang your head against a wall trying to use them for the first few days, but they will both click pretty quick and are 100% better options the word document or paper alternative. Here is my full obsidian setup tutorial: Here is a link to MisterPA 's notion Journal: Here is how I create "Meta-Notes" using obsidian: The process: - How I did it. - How I would do it if doing it again. Now I did things the "hard way" and manually worked my way back through each of MT's tweets starting in 2021, reading every one and logging those that I felt where relevant. You can see in my first post: the very first system I used to do this. I quickly adapted though after about a week and focused less on just logging each relevant tweet but trying to find and focusing on those which contained the most information. There where a lot of charts I looked at then skipped over because especially at the start of his timeline they contained little useful information and my time was better spent finding those where there was something to decode. Now this does not mean skip out on "work" just use your time efficiently. -- If however if I was to start from the beginning again with the goal of levelling up technical understanding as quickly as possible I would take a different approach. To start with I would familiarise myself with all relevant SMC concepts, I have linked the best free recourses for this below 👇 CryptoChase beginner friendly index: Barncore's "The Moneytaur Way" series: Gian's Trading bootcamp playlist: Following this I would then work through all of Taur's subscription posts working backwards, recreating his charts and taking notes on his logic. The subscription feed has the highest value density and least noise. Video example of my notes from his subscription posts 👇: --- Okay so now once you have a basic understanding of concepts and can re-recreate them on charts of your own it is time to put this in to practice. The next step is vigorous backtesting, you can use the trading view tool but I think trade Zella offers a more use friendly option if you pay for the subscription. Especially as it allows you to change timeframes without skipping ahead to candle close time of the timeframe you change too ( like Trading view does ) *my only note would be that their LTF/Micro TF data feed with be different to brokerage charts you will use on Trading view, to start with though you should not be going low enough that this is an issue. When you backtest in this context, treat it like real trading. That means journal and logging like you would if real cash was on the line. Take time, do not rush and focus on quality. Stick to BTC, ETH, Major FX pairs or indices as these assets are less reliant on confluence, backtesting a shitcoin is near useless as whether levels work or not will be highly dependent on Majors PA. Go on HTF, scroll back a couple years and try not too look at chart while doing so and then begin. Start with HTF analysis and work down to 2H or wherever you feel comfortable, chart it fully and then identify setups. Make rough notes / plans and then press play, execute the setups as they hit, log and journal trade management as well as observations and key notes. It is very important to not cheat when you do this, do not skip back and adjust your stoploss because it hit by 0.1%, do not skip back and adjust plan because you missed a block and your TP got frontrun. Instead these are the things you journal, embrace these mistakes because they are the cheapest mistakes you are going to make. Grind this, do it for hours, put some music on and enjoy. To start with focus on HTF's, as you get better and start netting $ on paper you can drop the timeframes and increase the difficulty. HTF = Normal, MTF = Medium, LTF = Hard. Even if you do not intend to day trade, learning how to read the lower TF's that force you to think faster, harder and prepare you for lower win rates / loss streaks can greatly improve your ability on higher TF's. While you are doing this as you start to have concepts click you now want to build up your real trading experience, take a sum of money that you care about but will be okay loosing and dedicate this to live trading. Start taking real trades and expect net losses in the beginning. This is where you will make you 2nd cheapest mistakes. This is also where you can begin to learn about your psychology. You may encounter some elements already in backtesting but the real market is where true colours really start to show. Mental issues are inevitable and part of the game, get used to them and start working to identify and fix them. Reading and applying books like Trading in the Zone and Mental Game of Trading are important and will help a lot but there is no easy fix, for some stuff you I believe you just have to get used to it and it goes away with experience. Losses suck at the beginning but after you loose 100 times you starting getting pretty numb to it, same goes for the winners. To accelerate the learning process, build connections and get advice there is also always the option of private groups, while I never personally chose this route and committed to learning everything through my own endeavours there is no denying that having nearly all the information you need structured and compiled in one place is valuable and can save time. Beyond this having access to real time thoughts and opinions of profitable traders can accelerate performance, however it carries the risk of being a double edged sword if not used properly, if relying on it like a crutch and using it as a substitute for real work you will not succeed. With that said if you take it for what it is, a learning opportunity then I believe it can be very beneficial. I am not a member of, nor affiliated with any paid group. There are now many options available within the community, all run by different people with different styles, tailored to different needs. If I was to make a recommendation though, as a non-member, it would be Albert & Co's 618'ers simply due to the diversity in styles of the traders running it and results I have seen from members I know personally. It is important that as you start to trade with real capital you reduce noise in your social feeds or eliminate it all together. You do not need 5 different opinions, you also do not need 2 people telling you the same thing in their own way so you feel re-assured. What you do need is to develop your independent thinking as a trader and be comfortable making different decisions to others, even traders ahead of yourself if it fits with your system or understanding of market. Taur here is perhaps an exception as this is who you are learning from but down the line a real test of your own ability and independence will be being able to stick with your own plan even when it differs from his. Don't get me wrong, counter trading him is retarded but you must learn to adapt his gift to your own style. This will make sense at some point. The next stage is taking your understanding of specific concepts to higher level as you simultaneously snowball experience. Look back through your journal and review where you lost money and made money, do not over extrapolate from a small sample but start to take notes and observe if trends in performance emerge. This is the beginning of the transition to self reliance, you now understand the strategy but must learn for yourself when and where it works. Here you can also learn more nuanced secondary concepts such as VSA, orderflow etc and add these to your game where appropriate. Do NOT get lost in the sauce though and remember mastery of basics is key. IMO a big focus should be understanding correlation thoroughly but especially on HTF's this is the most important thing and what triggers the majority of large swings where most of your cash will be made and losses recovered. Some people will disagree with me here but IMO you should also not be *focusing* on Odd TF's. These are secondary at best and most people overweight their significance leading to avoidable losses while wondering why price did not care about their 327minute Breaker Block which they think is the key to the market. Study Taurs feed and take note of how he mostly uses: 3M, 1M, 3W, 2W, 1W, 5D, 4D, 3D, 2D, 1D, 12H, 8H, 6H, 4H, 2H, 1H, 30m, 15m + micro time frames. The only thing left is time and repetition, you must show up each day and really do this, for months. Maybe you start to see result's, you catch your first key swing and where able to trade where others froze. Congratulations. Learn from these winners and repeat the actions. Find what assets work best for you, find your style, refine and grow. --- The last thing I will include is a short list of tools or links that can be helpful. - Trading view tutorial: - Dictionary: - Market news Calendar: --- Thank you too all those who have read this, I hope this has been helpful for the beginners who want to start but are just not sure how. 🫶 Don't just bookmark this and move on, start 🙃
0:38

Moneytaur study blueprint 🗺️ The process I used to go from not knowing what an order block is to pulling cash from the crypto markets in under 6 months using 🎯 Master concepts. Proof of performance, past 120 days👇 Start date: 09/03/2025 Requirements: - A PC/laptop - Wifi - A basic understanding of trading. ( What candlesticks are, how to actually place trades , etc ) - A free mind - Time or the ability to free up time. Starting: - Structure and routine - Stick to that routine + Pre mortem plan. - Notion / Obsidian setup. The first thing you need to create is a clear routine moulded around how you intend to approach this very large and complex task. This will not be linear and you will naturally adapt it as you progress but especially in the beginning some resemblance of structure each day is vital. This is an individual process but it is important to understand from the beginning that this will require a majority of your free time assuming you work a full time Job or study as a student. For me in the beginning this looked like: - Wake up at 6:30. - Shower - Study/work for 1h 45m before leaving for work. - 09:00 -> 17:00 work - 17:30 Exercise / Train - Eat - 19:00 resume study/work - 22:30 Start to wind down and get ready to sleep. It changed several times over the months and especially now I am full time but this is irrelevant, the only thing that matters is sticking with what you choose. Whatever your own routine may look like, it is important to understand it will inevitably require sacrifice. --- The next thing once you have established a draft framework of your routine is ensuring you will actually stick to that routine. Something I implemented which I found particularly beneficial was the concept of a Pre-Mortem plan. This involves creating several scenarios of a future in which you have failed and working backwards from each of these to find where it went wrong. Here is a video which explains it fully: When I did this I came up with 3 scenarios as well as prevention and cure for each. In the 6 months that followed each scenario presented at some point but I was able to catch them early due to having done this. The last thing is to not over complicate this, don't hyper focus on systems and loose momentum optimizing each detail. Just ensure you do the fucking work. I was a little guilty of the above at times, trying to craft the perfect routine. In reality the person who just gets up, drinks too much coffee and works his ass off out performs the workflow perfectionist who visualizes and repeats affirmations, any day of the week. --- Next you need somewhere to store your notes, journal your trades and build your knowledge. For me this was Obsidian but I have also used Notion before and it is an equally viable option. Whichever one of these you choose be warned you will inevitably want to bang your head against a wall trying to use them for the first few days, but they will both click pretty quick and are 100% better options the word document or paper alternative. Here is my full obsidian setup tutorial: Here is a link to MisterPA 's notion Journal: Here is how I create "Meta-Notes" using obsidian: The process: - How I did it. - How I would do it if doing it again. Now I did things the "hard way" and manually worked my way back through each of MT's tweets starting in 2021, reading every one and logging those that I felt where relevant. You can see in my first post: the very first system I used to do this. I quickly adapted though after about a week and focused less on just logging each relevant tweet but trying to find and focusing on those which contained the most information. There where a lot of charts I looked at then skipped over because especially at the start of his timeline they contained little useful information and my time was better spent finding those where there was something to decode. Now this does not mean skip out on "work" just use your time efficiently. -- If however if I was to start from the beginning again with the goal of levelling up technical understanding as quickly as possible I would take a different approach. To start with I would familiarise myself with all relevant SMC concepts, I have linked the best free recourses for this below 👇 CryptoChase beginner friendly index: Barncore's "The Moneytaur Way" series: Gian's Trading bootcamp playlist: Following this I would then work through all of Taur's subscription posts working backwards, recreating his charts and taking notes on his logic. The subscription feed has the highest value density and least noise. Video example of my notes from his subscription posts 👇: --- Okay so now once you have a basic understanding of concepts and can re-recreate them on charts of your own it is time to put this in to practice. The next step is vigorous backtesting, you can use the trading view tool but I think trade Zella offers a more use friendly option if you pay for the subscription. Especially as it allows you to change timeframes without skipping ahead to candle close time of the timeframe you change too ( like Trading view does ) *my only note would be that their LTF/Micro TF data feed with be different to brokerage charts you will use on Trading view, to start with though you should not be going low enough that this is an issue. When you backtest in this context, treat it like real trading. That means journal and logging like you would if real cash was on the line. Take time, do not rush and focus on quality. Stick to BTC, ETH, Major FX pairs or indices as these assets are less reliant on confluence, backtesting a shitcoin is near useless as whether levels work or not will be highly dependent on Majors PA. Go on HTF, scroll back a couple years and try not too look at chart while doing so and then begin. Start with HTF analysis and work down to 2H or wherever you feel comfortable, chart it fully and then identify setups. Make rough notes / plans and then press play, execute the setups as they hit, log and journal trade management as well as observations and key notes. It is very important to not cheat when you do this, do not skip back and adjust your stoploss because it hit by 0.1%, do not skip back and adjust plan because you missed a block and your TP got frontrun. Instead these are the things you journal, embrace these mistakes because they are the cheapest mistakes you are going to make. Grind this, do it for hours, put some music on and enjoy. To start with focus on HTF's, as you get better and start netting $ on paper you can drop the timeframes and increase the difficulty. HTF = Normal, MTF = Medium, LTF = Hard. Even if you do not intend to day trade, learning how to read the lower TF's that force you to think faster, harder and prepare you for lower win rates / loss streaks can greatly improve your ability on higher TF's. While you are doing this as you start to have concepts click you now want to build up your real trading experience, take a sum of money that you care about but will be okay loosing and dedicate this to live trading. Start taking real trades and expect net losses in the beginning. This is where you will make you 2nd cheapest mistakes. This is also where you can begin to learn about your psychology. You may encounter some elements already in backtesting but the real market is where true colours really start to show. Mental issues are inevitable and part of the game, get used to them and start working to identify and fix them. Reading and applying books like Trading in the Zone and Mental Game of Trading are important and will help a lot but there is no easy fix, for some stuff you I believe you just have to get used to it and it goes away with experience. Losses suck at the beginning but after you loose 100 times you starting getting pretty numb to it, same goes for the winners. To accelerate the learning process, build connections and get advice there is also always the option of private groups, while I never personally chose this route and committed to learning everything through my own endeavours there is no denying that having nearly all the information you need structured and compiled in one place is valuable and can save time. Beyond this having access to real time thoughts and opinions of profitable traders can accelerate performance, however it carries the risk of being a double edged sword if not used properly, if relying on it like a crutch and using it as a substitute for real work you will not succeed. With that said if you take it for what it is, a learning opportunity then I believe it can be very beneficial. I am not a member of, nor affiliated with any paid group. There are now many options available within the community, all run by different people with different styles, tailored to different needs. If I was to make a recommendation though, as a non-member, it would be Albert & Co's 618'ers simply due to the diversity in styles of the traders running it and results I have seen from members I know personally. It is important that as you start to trade with real capital you reduce noise in your social feeds or eliminate it all together. You do not need 5 different opinions, you also do not need 2 people telling you the same thing in their own way so you feel re-assured. What you do need is to develop your independent thinking as a trader and be comfortable making different decisions to others, even traders ahead of yourself if it fits with your system or understanding of market. Taur here is perhaps an exception as this is who you are learning from but down the line a real test of your own ability and independence will be being able to stick with your own plan even when it differs from his. Don't get me wrong, counter trading him is retarded but you must learn to adapt his gift to your own style. This will make sense at some point. The next stage is taking your understanding of specific concepts to higher level as you simultaneously snowball experience. Look back through your journal and review where you lost money and made money, do not over extrapolate from a small sample but start to take notes and observe if trends in performance emerge. This is the beginning of the transition to self reliance, you now understand the strategy but must learn for yourself when and where it works. Here you can also learn more nuanced secondary concepts such as VSA, orderflow etc and add these to your game where appropriate. Do NOT get lost in the sauce though and remember mastery of basics is key. IMO a big focus should be understanding correlation thoroughly but especially on HTF's this is the most important thing and what triggers the majority of large swings where most of your cash will be made and losses recovered. Some people will disagree with me here but IMO you should also not be *focusing* on Odd TF's. These are secondary at best and most people overweight their significance leading to avoidable losses while wondering why price did not care about their 327minute Breaker Block which they think is the key to the market. Study Taurs feed and take note of how he mostly uses: 3M, 1M, 3W, 2W, 1W, 5D, 4D, 3D, 2D, 1D, 12H, 8H, 6H, 4H, 2H, 1H, 30m, 15m + micro time frames. The only thing left is time and repetition, you must show up each day and really do this, for months. Maybe you start to see result's, you catch your first key swing and where able to trade where others froze. Congratulations. Learn from these winners and repeat the actions. Find what assets work best for you, find your style, refine and grow. --- The last thing I will include is a short list of tools or links that can be helpful. - Trading view tutorial: - Dictionary: - Market news Calendar: --- Thank you too all those who have read this, I hope this has been helpful for the beginners who want to start but are just not sure how. 🫶 Don't just bookmark this and move on, start 🙃

Ace

45,752 Aufrufe • vor 10 Monaten

Excited to have Little Plains featured as a Notion case study. We've been tinkering with their product since we started the agency and earlier this year we got to demo some of our custom agentic workflows to Ivan Zhao and their leadership team. I remember reading a deep dive they did on Every 📧 and Dan Shipper, and being inspired by how advanced yet approachable these workflows felt. This has felt full-circle, and one of the reasons I'm so pumped to running a studio again. How we use Notion We use the software today as the contextual intelligence layer of our agency. Almost everything flows in and out of it, while also residing there: client briefs, meeting transcriptions, talent inquiries, custom new business proposals, finance, our internal agent hub, and our new site's repository management. The APIs and MCP connectors let the rest of our stack read from it, so the context travels with the work. Four specific ways we're using it today: Client project homes Every engagement starts with a custom deep research agent we built. It takes everything we have on a new client, plus public information and market research, and writes a full deep dive on the company, the founders, the space, and where the real opportunity sits. It lands as a Notion doc, saves out as Markdown, and loads into a shared team project in our LLM, so anyone here can chat with the entire repository of context from day one. That same Notion page then carries the brief, goals, meeting notes, decisions, and open questions through strategy, design, Figma, Flora, and client review. One home, so the original idea survives the handoffs. New business proposals We take the new business meeting transcriptions, using the potential client's own words and nuances, and input them into a custom template we've developed. We can shape the story, scope, timeline, team, case studies, and budget in Notion, then integrate each part of the proposal into Sanity to power the client-facing microsite. Alex Leiphart, our Head of Product, calls it an intelligent CMS driving the back end of every proposal, with a front end that wows clients time and time again. Talent intake We had a talent post go viral recently with over a quarter million views and over 2,500 submissions. Luckily, we had built a Notion-powered workflow where applicants submit role, portfolio, availability, timezone, and interests. An agent pushes it into Slack, where our leadership reacts with their custom emoji, and the agent drafts an email with that person's calendar link and updates the master talent database. With all this info, we can go back into Notion to filter by timezone, rate card, availability, capabilities, or our own notes. It's helped a lot for a small team dealing with a huge inflow. Agent hub Before anyone at Little Plains builds or operates an internal agent, they write down what it's for, how it works, what information it can use, and where a person stays in control. Those briefs, and the agent's associated information, live in one hub so the whole team can see what's being built and why. Structure is what makes the experimenting sustainable, whether you're a relative novice at agentic work or a pro-grade engineer. A rising tide raises all boats. Thanks to Alex Leiphart, Caroline Bel-Kher and the entire LP team for this. Read the full piece:
0:30

Excited to have Little Plains featured as a Notion case study. We've been tinkering with their product since we started the agency and earlier this year we got to demo some of our custom agentic workflows to Ivan Zhao and their leadership team. I remember reading a deep dive they did on Every 📧 and Dan Shipper, and being inspired by how advanced yet approachable these workflows felt. This has felt full-circle, and one of the reasons I'm so pumped to running a studio again. How we use Notion We use the software today as the contextual intelligence layer of our agency. Almost everything flows in and out of it, while also residing there: client briefs, meeting transcriptions, talent inquiries, custom new business proposals, finance, our internal agent hub, and our new site's repository management. The APIs and MCP connectors let the rest of our stack read from it, so the context travels with the work. Four specific ways we're using it today: Client project homes Every engagement starts with a custom deep research agent we built. It takes everything we have on a new client, plus public information and market research, and writes a full deep dive on the company, the founders, the space, and where the real opportunity sits. It lands as a Notion doc, saves out as Markdown, and loads into a shared team project in our LLM, so anyone here can chat with the entire repository of context from day one. That same Notion page then carries the brief, goals, meeting notes, decisions, and open questions through strategy, design, Figma, Flora, and client review. One home, so the original idea survives the handoffs. New business proposals We take the new business meeting transcriptions, using the potential client's own words and nuances, and input them into a custom template we've developed. We can shape the story, scope, timeline, team, case studies, and budget in Notion, then integrate each part of the proposal into Sanity to power the client-facing microsite. Alex Leiphart, our Head of Product, calls it an intelligent CMS driving the back end of every proposal, with a front end that wows clients time and time again. Talent intake We had a talent post go viral recently with over a quarter million views and over 2,500 submissions. Luckily, we had built a Notion-powered workflow where applicants submit role, portfolio, availability, timezone, and interests. An agent pushes it into Slack, where our leadership reacts with their custom emoji, and the agent drafts an email with that person's calendar link and updates the master talent database. With all this info, we can go back into Notion to filter by timezone, rate card, availability, capabilities, or our own notes. It's helped a lot for a small team dealing with a huge inflow. Agent hub Before anyone at Little Plains builds or operates an internal agent, they write down what it's for, how it works, what information it can use, and where a person stays in control. Those briefs, and the agent's associated information, live in one hub so the whole team can see what's being built and why. Structure is what makes the experimenting sustainable, whether you're a relative novice at agentic work or a pro-grade engineer. A rising tide raises all boats. Thanks to Alex Leiphart, Caroline Bel-Kher and the entire LP team for this. Read the full piece:

Emmett

20,066 Aufrufe • vor 18 Tagen

📖SEEDANCE 2.0 JUST MADE EVERY FILM SCHOOL IRRELEVANT FOR SOLO CREATORS Solo creators with the right workflow are closing clients that used to require a full production studio. Seedance 2.0 inside Dreamina holds character consistency across scenes in a way no other tool at this price point comes close to. Same face, same costume, same lighting logic — frame after frame after frame. That's the feature that turns a single prompt session into a short film. The lava demon materializing inside a gothic cathedral. The girl in black holding her ground while everything burns around her. Two characters with completely different visual languages sharing the same atmospheric world — and Seedance holds both of them consistent across every cut. That's not a generation. That's a production. Here's the 7-step workflow that produced this: • Step 1 — Define the character before you define the scene. Write a complete physical description — face structure, hair, clothing, skin, posture. This becomes the anchor every future generation references. • Step 2 — Build the world separately from the character. Gothic cathedral, candlelight, fog, cracked stone, scattered bodies. Define the atmosphere as its own entity before you place anyone inside it. • Step 3 — Generate the reference frame. One image that establishes the visual language, the color grade, the lighting temperature. Lock this as your style reference before generating any video. • Step 4 — Feed the reference into Seedance's image-to-video pipeline with a motion prompt. Camera behavior only — slow push, hold, circle. The image handles the subject. The prompt handles the direction. • Step 5 — Generate four variations per scene. Delete the two that look generated. Keep the one where the character's face holds and the atmosphere feels physical rather than rendered. • Step 6 — Edit in CapCut or Premiere Pro. Add music that matches the emotional temperature of the grade — the visual already tells you what the sound should feel like. Dark orchestral, slow tempo, single instrument carrying the melody. • Step 7 — Save the character description and reference frame as a template. The next episode starts from the same character in the same world. Series content becomes a system, not a restart. How a freelancer sells this: Dark fantasy content for game studios, music artists, and fantasy brands is a real market with real budgets. A musician dropping an album needs a visual world. A game studio needs promotional cinematics. A fantasy brand needs a story. Where to find clients: • Music artists on SoundCloud and Spotify releasing dark, gothic, or cinematic albums — search by genre, find artists with 1k–50k listeners who have no visual content. They have the audience and the need but no production budget for traditional video. • Indie game studios on Itch and Steam launching fantasy or horror titles — they need promotional cinematics and trailers but can't afford a production company. A single free scene built from their game's character art opens every conversation. • Dark fantasy and gothic brands on Instagram and TikTok with strong photo content but zero video presence — jewelry brands, clothing labels, occult lifestyle brands. They have the aesthetic already built. You just add motion to it. • Fantasy and horror fiction authors on Instagram and Substack launching new books — they need visual teasers, trailers, and world-building content to build pre-launch audiences. Most have no idea this kind of production is accessible at this price point. • Tabletop RPG creators and Dungeon Masters on Patreon and Kickstarter — they build entire fantasy universes and need cinematic content for campaigns, promotional videos, and subscriber rewards. The niche is underserved and the creators inside it spend consistently on content tools and services. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖Save this if you are looking for practical AI methods that actually pay.
0:36

📖SEEDANCE 2.0 JUST MADE EVERY FILM SCHOOL IRRELEVANT FOR SOLO CREATORS Solo creators with the right workflow are closing clients that used to require a full production studio. Seedance 2.0 inside Dreamina holds character consistency across scenes in a way no other tool at this price point comes close to. Same face, same costume, same lighting logic — frame after frame after frame. That's the feature that turns a single prompt session into a short film. The lava demon materializing inside a gothic cathedral. The girl in black holding her ground while everything burns around her. Two characters with completely different visual languages sharing the same atmospheric world — and Seedance holds both of them consistent across every cut. That's not a generation. That's a production. Here's the 7-step workflow that produced this: • Step 1 — Define the character before you define the scene. Write a complete physical description — face structure, hair, clothing, skin, posture. This becomes the anchor every future generation references. • Step 2 — Build the world separately from the character. Gothic cathedral, candlelight, fog, cracked stone, scattered bodies. Define the atmosphere as its own entity before you place anyone inside it. • Step 3 — Generate the reference frame. One image that establishes the visual language, the color grade, the lighting temperature. Lock this as your style reference before generating any video. • Step 4 — Feed the reference into Seedance's image-to-video pipeline with a motion prompt. Camera behavior only — slow push, hold, circle. The image handles the subject. The prompt handles the direction. • Step 5 — Generate four variations per scene. Delete the two that look generated. Keep the one where the character's face holds and the atmosphere feels physical rather than rendered. • Step 6 — Edit in CapCut or Premiere Pro. Add music that matches the emotional temperature of the grade — the visual already tells you what the sound should feel like. Dark orchestral, slow tempo, single instrument carrying the melody. • Step 7 — Save the character description and reference frame as a template. The next episode starts from the same character in the same world. Series content becomes a system, not a restart. How a freelancer sells this: Dark fantasy content for game studios, music artists, and fantasy brands is a real market with real budgets. A musician dropping an album needs a visual world. A game studio needs promotional cinematics. A fantasy brand needs a story. Where to find clients: • Music artists on SoundCloud and Spotify releasing dark, gothic, or cinematic albums — search by genre, find artists with 1k–50k listeners who have no visual content. They have the audience and the need but no production budget for traditional video. • Indie game studios on Itch and Steam launching fantasy or horror titles — they need promotional cinematics and trailers but can't afford a production company. A single free scene built from their game's character art opens every conversation. • Dark fantasy and gothic brands on Instagram and TikTok with strong photo content but zero video presence — jewelry brands, clothing labels, occult lifestyle brands. They have the aesthetic already built. You just add motion to it. • Fantasy and horror fiction authors on Instagram and Substack launching new books — they need visual teasers, trailers, and world-building content to build pre-launch audiences. Most have no idea this kind of production is accessible at this price point. • Tabletop RPG creators and Dungeon Masters on Patreon and Kickstarter — they build entire fantasy universes and need cinematic content for campaigns, promotional videos, and subscriber rewards. The niche is underserved and the creators inside it spend consistently on content tools and services. 📥Tomorrow I'll show you what's sitting right next to this opportunity. 🔖Save this if you are looking for practical AI methods that actually pay.

Zentrix⌚️

50,098 Aufrufe • vor 3 Monaten

There is something truly remarkable about the third movement of Ludwig van Beethoven’s Piano Sonata No. 14 in C-sharp minor, Op. 27 No. 2. It is one of the most famous piano movements in the world. Yet if we try to find a simple melody that can be easily hummed, we may notice something fascinating: this movement is not built around a memorable melody in the usual sense. There is no long, gentle singing line. There is no simple theme that immediately settles into the listener’s memory. Instead, Beethoven creates a world of intense motion: notes rushing forward without rest, powerful chords filled with tension, and waves of sound constantly rising and colliding with one another. So what gives this movement such extraordinary vitality after more than two centuries? The answer does not lie in how many notes Beethoven wrote. It lies in the way he transformed the smallest elements into a tremendous source of energy. Beethoven did not write this movement merely for listeners to remember a melody. He wrote it so they could feel a force in motion. From the very first notes of the Presto agitato, Beethoven draws the listener into a world without rest. The broken chords of C-sharp minor (C♯–E–G♯) continuously move across the keyboard. Taken individually, these notes are not extraordinary. But Beethoven was not concerned with the power of each single note. He was concerned with the relationship between them. One note leads naturally to the next. One small movement creates a larger movement. A continuous stream of sound emerges, like a force that cannot be stopped. This is one of Beethoven’s greatest artistic secrets: his ability to take simple materials and transform them into an idea of immense scale. Like a small seed that grows into a great tree, a few basic notes in Beethoven’s hands can become an entire world of emotional depth. When listening to this movement, many people are first captivated by its speed. The endless rushing passages of the piano create the impression of a storm gathering strength. But speed itself is not the true source of power. If it contained only rapid notes, the music might impress us for a moment but would struggle to become a lasting masterpiece. What makes Beethoven different is that he transforms speed into an expression of will. Above, the right hand moves continuously like an unstoppable current of energy. Yet beneath it, the left hand provides strong accents, creating a sense of weight and stability. One side represents movement. The other represents gravity. One force pushes forward. The other prevents the entire structure from collapsing. It is this contrast that creates the feeling of a tremendous power under control. Not a chaotic storm. But a storm with form. One of Beethoven’s deepest principles lies in the way he uses tension. The music constantly creates the feeling that it is searching for a place to return. The harmonies are not completely settled. The changes in harmony leave the listener with a sense of anticipation: what will happen next? When will this stream of energy finally be released? Yet Beethoven does not rush toward the answer. He holds the listener in this state of expectation long enough so that when balance finally appears, it carries greater meaning. This is not only a principle of music. It reflects a profound human experience. We often recognize the value of peace more clearly after passing through turbulence. Calmness has little meaning if we have never experienced tension. Light becomes more visible when it appears after darkness. The most remarkable aspect of this movement is that Beethoven never allows emotion to destroy form. On the surface, the music is intense and forceful, but beneath it lies an extraordinarily disciplined structure. The movement follows the principles of sonata form: an idea is introduced, developed, transformed, and eventually returns in a new state. Small motifs repeatedly appear, but each return carries a different meaning. Repetition does not mean standing still. It becomes the foundation for growth. This is also a principle found throughout nature. A river remains a river, yet the water within it is always moving. A heartbeat repeats itself, yet that repetition is what sustains life. Beethoven works in the same way. He does not create greatness by constantly searching for something new. Instead, he discovers depth by developing his original ideas until they reach their fullest expression. The beauty of the third movement of the Moonlight Sonata is not only found in the music itself. It reflects a broader principle. In nature, the strongest forces are often not forces without order. A storm may have tremendous destructive power, yet it still follows the laws of the atmosphere. A mountain remains standing not because it is untouched by forces, but because its internal structure is strong enough to withstand pressure. A healthy body does not exist because nothing changes, but because millions of small processes work together within a shared order. Beethoven achieves the same thing through sound. He takes thousands of small finger movements, hundreds of relationships between notes, and transforms them into a unified structure with direction and purpose. He does not eliminate conflict. He organizes conflict. He does not weaken power. He creates a form large enough to contain it. What distinguishes great artists in the classical tradition is not only technical mastery. It is their ability to perceive the inner structure of a work. In Murray Perahia’s interpretation, listeners do not experience only the speed and intensity of the movement. They also sense the balance beneath it: the precision of rhythm, the logic of harmonic movement, and the connection between each small part and the entire architectural design. Perahia does not attempt to make Beethoven more dramatic than he already is. Instead, he allows Beethoven’s own structure to reveal its strength. Because a great performer does not stand before a work to overshadow it. They become a means through which the inner beauty of the composition can be revealed more clearly. If we were to search for a single principle that defines the greatness of this movement, perhaps it would be this: A great power, when placed within a great order, becomes beauty. Beethoven does not transform anger, tension, and conflict into something softer. He preserves their full force, but builds a structure strong enough to carry them. Therefore, what listeners experience is not merely fingers racing across the keys. They experience something deeper: a storm that still has a shape, an energy that still possesses order, and a struggle that can become beauty. That is why the third movement of the Moonlight Sonata continues to move people across generations. Because behind those powerful sounds is not only a display of technical brilliance. It is an image of a fundamental principle of life: The greatest strength is not strength without control. It is strength that discovers the perfect form of its own expression.
6:44

There is something truly remarkable about the third movement of Ludwig van Beethoven’s Piano Sonata No. 14 in C-sharp minor, Op. 27 No. 2. It is one of the most famous piano movements in the world. Yet if we try to find a simple melody that can be easily hummed, we may notice something fascinating: this movement is not built around a memorable melody in the usual sense. There is no long, gentle singing line. There is no simple theme that immediately settles into the listener’s memory. Instead, Beethoven creates a world of intense motion: notes rushing forward without rest, powerful chords filled with tension, and waves of sound constantly rising and colliding with one another. So what gives this movement such extraordinary vitality after more than two centuries? The answer does not lie in how many notes Beethoven wrote. It lies in the way he transformed the smallest elements into a tremendous source of energy. Beethoven did not write this movement merely for listeners to remember a melody. He wrote it so they could feel a force in motion. From the very first notes of the Presto agitato, Beethoven draws the listener into a world without rest. The broken chords of C-sharp minor (C♯–E–G♯) continuously move across the keyboard. Taken individually, these notes are not extraordinary. But Beethoven was not concerned with the power of each single note. He was concerned with the relationship between them. One note leads naturally to the next. One small movement creates a larger movement. A continuous stream of sound emerges, like a force that cannot be stopped. This is one of Beethoven’s greatest artistic secrets: his ability to take simple materials and transform them into an idea of immense scale. Like a small seed that grows into a great tree, a few basic notes in Beethoven’s hands can become an entire world of emotional depth. When listening to this movement, many people are first captivated by its speed. The endless rushing passages of the piano create the impression of a storm gathering strength. But speed itself is not the true source of power. If it contained only rapid notes, the music might impress us for a moment but would struggle to become a lasting masterpiece. What makes Beethoven different is that he transforms speed into an expression of will. Above, the right hand moves continuously like an unstoppable current of energy. Yet beneath it, the left hand provides strong accents, creating a sense of weight and stability. One side represents movement. The other represents gravity. One force pushes forward. The other prevents the entire structure from collapsing. It is this contrast that creates the feeling of a tremendous power under control. Not a chaotic storm. But a storm with form. One of Beethoven’s deepest principles lies in the way he uses tension. The music constantly creates the feeling that it is searching for a place to return. The harmonies are not completely settled. The changes in harmony leave the listener with a sense of anticipation: what will happen next? When will this stream of energy finally be released? Yet Beethoven does not rush toward the answer. He holds the listener in this state of expectation long enough so that when balance finally appears, it carries greater meaning. This is not only a principle of music. It reflects a profound human experience. We often recognize the value of peace more clearly after passing through turbulence. Calmness has little meaning if we have never experienced tension. Light becomes more visible when it appears after darkness. The most remarkable aspect of this movement is that Beethoven never allows emotion to destroy form. On the surface, the music is intense and forceful, but beneath it lies an extraordinarily disciplined structure. The movement follows the principles of sonata form: an idea is introduced, developed, transformed, and eventually returns in a new state. Small motifs repeatedly appear, but each return carries a different meaning. Repetition does not mean standing still. It becomes the foundation for growth. This is also a principle found throughout nature. A river remains a river, yet the water within it is always moving. A heartbeat repeats itself, yet that repetition is what sustains life. Beethoven works in the same way. He does not create greatness by constantly searching for something new. Instead, he discovers depth by developing his original ideas until they reach their fullest expression. The beauty of the third movement of the Moonlight Sonata is not only found in the music itself. It reflects a broader principle. In nature, the strongest forces are often not forces without order. A storm may have tremendous destructive power, yet it still follows the laws of the atmosphere. A mountain remains standing not because it is untouched by forces, but because its internal structure is strong enough to withstand pressure. A healthy body does not exist because nothing changes, but because millions of small processes work together within a shared order. Beethoven achieves the same thing through sound. He takes thousands of small finger movements, hundreds of relationships between notes, and transforms them into a unified structure with direction and purpose. He does not eliminate conflict. He organizes conflict. He does not weaken power. He creates a form large enough to contain it. What distinguishes great artists in the classical tradition is not only technical mastery. It is their ability to perceive the inner structure of a work. In Murray Perahia’s interpretation, listeners do not experience only the speed and intensity of the movement. They also sense the balance beneath it: the precision of rhythm, the logic of harmonic movement, and the connection between each small part and the entire architectural design. Perahia does not attempt to make Beethoven more dramatic than he already is. Instead, he allows Beethoven’s own structure to reveal its strength. Because a great performer does not stand before a work to overshadow it. They become a means through which the inner beauty of the composition can be revealed more clearly. If we were to search for a single principle that defines the greatness of this movement, perhaps it would be this: A great power, when placed within a great order, becomes beauty. Beethoven does not transform anger, tension, and conflict into something softer. He preserves their full force, but builds a structure strong enough to carry them. Therefore, what listeners experience is not merely fingers racing across the keys. They experience something deeper: a storm that still has a shape, an energy that still possesses order, and a struggle that can become beauty. That is why the third movement of the Moonlight Sonata continues to move people across generations. Because behind those powerful sounds is not only a display of technical brilliance. It is an image of a fundamental principle of life: The greatest strength is not strength without control. It is strength that discovers the perfect form of its own expression.

🎼🌺Music Love♥️

19,104 Aufrufe • vor 2 Monaten

You are probably drinking too much water. Dr. Laszlo Boros strongly warns against drinking water habitually or in large quantities without the natural cue of thirst. This directly contradicts much of the conventional hydration advice that encourages people to drink three liters of water per day, a gallon per day, or hit a predetermined hydration target. He considers environmental water one of the sneakiest sources of deuterium because it enters the body directly. Unlike food, it arrives without carbon. It absorbs into tissues and mixes directly with your cytoplasmic water. This matters because the body is already designed to produce its own deuterium-depleted water. Every day. As mitochondria combine protons with oxygen, they create metabolic water inside the mitochondrial matrix. According to Dr. Laszlo Boros — Hungarian medical biochemist, retired professor at UCLA School of Medicine, author of 100+ peer-reviewed papers and one of the world's leading deuterium researchers — this is the most important water in the body. And the amount of metabolic water you produce depends heavily on the fuel you burn. Approximately 100 grams of fat generate around 110 grams of metabolic water. 100 grams of carbohydrates produce only around 55 grams. Nearly half as much. Fat produces substantially more metabolic water per unit of food consumed. This is one reason Boros spends so much time discussing fat metabolism and follows a carnivore ketogenic diet himself. Excessive water intake creates a different problem. According to Boros, drinking too much water — especially without salt — lowers blood osmolarity, which causes the brain to swell. The pituitary gland sits inside a tight bony compartment at the base of the skull called the sella turcica. When the brain swells from excess water, it physically compresses the pituitary gland inside this rigid bone. That can shut down its ability to release crucial hormones. Because the pituitary regulates sex hormones, fertility hormones, and thyroid-stimulating hormones, overdrinking can disrupt the entire endocrine system and contribute to chronic conditions like infertility and autoimmune thyroid issues. The most critical hormone affected is antidiuretic hormone (ADH), also called vasopressin. ADH normally signals the kidneys to reabsorb and preserve the body's own deuterium-depleted metabolic water. Without ADH, your body cannot hold onto its clean water. Boros points out that if you drink a liter of water in 30 minutes, you will simply pee it right back out. Because people constantly suppress ADH by forcing themselves to drink water, Boros notes that the average American has an ADH level of about 0.6, compared to a normal level of 1.0. In his view, the general population has essentially given itself a water-wasting disease called diabetes insipidus. Diabetes insipidus is a condition where the body cannot properly balance fluid levels, leading to excessive production of large volumes of urine and intense thirst. The downstream consequence is not just water loss. The suppression of these metabolic regulators can contribute to the buildup of visceral and subcutaneous fat. To show how dangerous overriding thirst can become, Boros gives an extreme example. A mother in New Jersey took her kids on a mountain walk and drank approximately 1.5 liters of water in 15 minutes. The rapid water influx caused severe brain swelling. By the time she drove back to her garage, she fell into a coma and died. Extreme case. But the principle is clear. More water is not always better. Now, the natural objection arises: "What about the studies showing performance drops before thirst kicks in? You can't rely on thirst — it lags behind the actual need." Boros addresses this directly. His argument: Those studies were almost certainly run on subjects whose ADH system was already suppressed from years of chronic overdrinking. If you have spent years forcing yourself to drink 3-4 liters a day whether thirsty or not, you have gradually damaged your hypothalamic cells' ability to produce ADH. It takes approximately six months of gradually reducing water intake to restore ADH production to normal levels. A subject with suppressed ADH entering a dehydration study will show impaired performance before thirst — not because thirst lags, but because their thirst signal itself is broken. They lost the ability to produce sufficient ADH — the key hormone in the hypothalamic system that drives both water retention and thirst signaling. Prime the subjects correctly — gradually restore their ADH production before the study begins — and Boros argues you would see a completely different result. The studies are not wrong. They are measuring the wrong population. Boros does not see a reason to drink water when you are not thirsty. Thirst is the signal. It tells you when to drink. It also tells you when to stop. His argument is not that people should restrict water. His argument is that people should stop overriding the signals that evolved to regulate it. This is an important distinction. Boros is not saying: Don't drink water. He is saying: Drink when thirsty. Drink enough. Then stop. Even Dr. Gabor Somlyai's deuterium-depleted water protocols in his book "Deuterium Depletion" recommend around 1.5–2 liters per day. Not a gallon per day. Not constant hydration. This is the researcher who has followed 2,649 cancer patients over 32 years and whose company sells deuterium-depleted water. If anyone had an incentive to recommend drinking more of it, it would be him. Yet his protocols still recommend around 1.5–2 liters per day. Thirst is a precise physiological signal. Just like hunger. Like sleepiness. You don't go to sleep just because a bed is in the room. The body already knows when it needs water. The problem begins when we stop listening.
8:52

You are probably drinking too much water. Dr. Laszlo Boros strongly warns against drinking water habitually or in large quantities without the natural cue of thirst. This directly contradicts much of the conventional hydration advice that encourages people to drink three liters of water per day, a gallon per day, or hit a predetermined hydration target. He considers environmental water one of the sneakiest sources of deuterium because it enters the body directly. Unlike food, it arrives without carbon. It absorbs into tissues and mixes directly with your cytoplasmic water. This matters because the body is already designed to produce its own deuterium-depleted water. Every day. As mitochondria combine protons with oxygen, they create metabolic water inside the mitochondrial matrix. According to Dr. Laszlo Boros — Hungarian medical biochemist, retired professor at UCLA School of Medicine, author of 100+ peer-reviewed papers and one of the world's leading deuterium researchers — this is the most important water in the body. And the amount of metabolic water you produce depends heavily on the fuel you burn. Approximately 100 grams of fat generate around 110 grams of metabolic water. 100 grams of carbohydrates produce only around 55 grams. Nearly half as much. Fat produces substantially more metabolic water per unit of food consumed. This is one reason Boros spends so much time discussing fat metabolism and follows a carnivore ketogenic diet himself. Excessive water intake creates a different problem. According to Boros, drinking too much water — especially without salt — lowers blood osmolarity, which causes the brain to swell. The pituitary gland sits inside a tight bony compartment at the base of the skull called the sella turcica. When the brain swells from excess water, it physically compresses the pituitary gland inside this rigid bone. That can shut down its ability to release crucial hormones. Because the pituitary regulates sex hormones, fertility hormones, and thyroid-stimulating hormones, overdrinking can disrupt the entire endocrine system and contribute to chronic conditions like infertility and autoimmune thyroid issues. The most critical hormone affected is antidiuretic hormone (ADH), also called vasopressin. ADH normally signals the kidneys to reabsorb and preserve the body's own deuterium-depleted metabolic water. Without ADH, your body cannot hold onto its clean water. Boros points out that if you drink a liter of water in 30 minutes, you will simply pee it right back out. Because people constantly suppress ADH by forcing themselves to drink water, Boros notes that the average American has an ADH level of about 0.6, compared to a normal level of 1.0. In his view, the general population has essentially given itself a water-wasting disease called diabetes insipidus. Diabetes insipidus is a condition where the body cannot properly balance fluid levels, leading to excessive production of large volumes of urine and intense thirst. The downstream consequence is not just water loss. The suppression of these metabolic regulators can contribute to the buildup of visceral and subcutaneous fat. To show how dangerous overriding thirst can become, Boros gives an extreme example. A mother in New Jersey took her kids on a mountain walk and drank approximately 1.5 liters of water in 15 minutes. The rapid water influx caused severe brain swelling. By the time she drove back to her garage, she fell into a coma and died. Extreme case. But the principle is clear. More water is not always better. Now, the natural objection arises: "What about the studies showing performance drops before thirst kicks in? You can't rely on thirst — it lags behind the actual need." Boros addresses this directly. His argument: Those studies were almost certainly run on subjects whose ADH system was already suppressed from years of chronic overdrinking. If you have spent years forcing yourself to drink 3-4 liters a day whether thirsty or not, you have gradually damaged your hypothalamic cells' ability to produce ADH. It takes approximately six months of gradually reducing water intake to restore ADH production to normal levels. A subject with suppressed ADH entering a dehydration study will show impaired performance before thirst — not because thirst lags, but because their thirst signal itself is broken. They lost the ability to produce sufficient ADH — the key hormone in the hypothalamic system that drives both water retention and thirst signaling. Prime the subjects correctly — gradually restore their ADH production before the study begins — and Boros argues you would see a completely different result. The studies are not wrong. They are measuring the wrong population. Boros does not see a reason to drink water when you are not thirsty. Thirst is the signal. It tells you when to drink. It also tells you when to stop. His argument is not that people should restrict water. His argument is that people should stop overriding the signals that evolved to regulate it. This is an important distinction. Boros is not saying: Don't drink water. He is saying: Drink when thirsty. Drink enough. Then stop. Even Dr. Gabor Somlyai's deuterium-depleted water protocols in his book "Deuterium Depletion" recommend around 1.5–2 liters per day. Not a gallon per day. Not constant hydration. This is the researcher who has followed 2,649 cancer patients over 32 years and whose company sells deuterium-depleted water. If anyone had an incentive to recommend drinking more of it, it would be him. Yet his protocols still recommend around 1.5–2 liters per day. Thirst is a precise physiological signal. Just like hunger. Like sleepiness. You don't go to sleep just because a bed is in the room. The body already knows when it needs water. The problem begins when we stop listening.

no.mind

30,199 Aufrufe • vor 3 Monaten

Calmness, Trust, and Community: A Message to Our Pioneers Dear Pioneers, I want to take a moment to speak honestly and calmly with all of you. First, let me be clear: GCV has already been successful. Even though some pioneers may still doubt it or argue against it, this does not change reality. When we want to truly understand something, humility is essential. Calm your heart, study carefully, and allow yourself to improve. Some pioneers resist GCV because they have a wrong concept. They do not yet see their mistake. In many cases, they have not read the articles thoroughly or have misunderstood the information. At this point, it does not matter whether someone agrees or disagrees. What matters is that it has already been written into the system — fixed at both the institutional and retail level at GCV. There is no other option for Pi Network to realize its vision. Many pioneers ask: > “Why is it not activated yet?” “Why is it not officially showing that GCV has been accepted?” The answer is timing. When the timing is not correct, it is simply not yet the time to announce it. But this does not mean it did not happen. It has happened — it is just not visible to everypioneer yet.. Why? Perhaps someone are smart, have knowledge and have access to information but most pioneers don’t have this knowledge or skills — just like in the stock market. Here, the principle is the same. From our side, we can already see confirmation: From the economic side, GCV is confirmed. From the technical side, it is confirmed. But that does not mean everything is fully ready. There may still be regulations, compliance procedures, or coordination across more than 100 countries and multiple fiat currencies. It is complicated, and the team must handle it carefully. So, we should trust the PCT and give them the time. Meanwhile, live happily during this time, because we are almost at success. I want to remind you: Enjoy your life and be happy. If you don’t have a job, look for one. Sleep well. Exercise and make yourself physically and mentally strong. Maintain a positive energy in our community. The community is very important — not only before the full activation, but also after. We have a lot of information, belongings, and opportunities within the community. By contributing, reposting accurate information, or simply participating, you improve yourself and help build a stronger community. Even small contributions matter. Not everyone can participate fully, and that is okay. What matters is having the knowledge, confidence, and willingness to support the community. This work benefits both yourself and the pioneers around you. Calmness, patience, humility, trust, and positive energy — these are the keys to navigating this stage. Focus your energy on learning, improving, and contributing. Worry is unnecessary. Confidence, understanding, and steady action will guide us to success. Thank you for your trust, your patience, and your dedication. Doris Yin 🪷 🪷🪷
4:59

Calmness, Trust, and Community: A Message to Our Pioneers Dear Pioneers, I want to take a moment to speak honestly and calmly with all of you. First, let me be clear: GCV has already been successful. Even though some pioneers may still doubt it or argue against it, this does not change reality. When we want to truly understand something, humility is essential. Calm your heart, study carefully, and allow yourself to improve. Some pioneers resist GCV because they have a wrong concept. They do not yet see their mistake. In many cases, they have not read the articles thoroughly or have misunderstood the information. At this point, it does not matter whether someone agrees or disagrees. What matters is that it has already been written into the system — fixed at both the institutional and retail level at GCV. There is no other option for Pi Network to realize its vision. Many pioneers ask: > “Why is it not activated yet?” “Why is it not officially showing that GCV has been accepted?” The answer is timing. When the timing is not correct, it is simply not yet the time to announce it. But this does not mean it did not happen. It has happened — it is just not visible to everypioneer yet.. Why? Perhaps someone are smart, have knowledge and have access to information but most pioneers don’t have this knowledge or skills — just like in the stock market. Here, the principle is the same. From our side, we can already see confirmation: From the economic side, GCV is confirmed. From the technical side, it is confirmed. But that does not mean everything is fully ready. There may still be regulations, compliance procedures, or coordination across more than 100 countries and multiple fiat currencies. It is complicated, and the team must handle it carefully. So, we should trust the PCT and give them the time. Meanwhile, live happily during this time, because we are almost at success. I want to remind you: Enjoy your life and be happy. If you don’t have a job, look for one. Sleep well. Exercise and make yourself physically and mentally strong. Maintain a positive energy in our community. The community is very important — not only before the full activation, but also after. We have a lot of information, belongings, and opportunities within the community. By contributing, reposting accurate information, or simply participating, you improve yourself and help build a stronger community. Even small contributions matter. Not everyone can participate fully, and that is okay. What matters is having the knowledge, confidence, and willingness to support the community. This work benefits both yourself and the pioneers around you. Calmness, patience, humility, trust, and positive energy — these are the keys to navigating this stage. Focus your energy on learning, improving, and contributing. Worry is unnecessary. Confidence, understanding, and steady action will guide us to success. Thank you for your trust, your patience, and your dedication. Doris Yin 🪷 🪷🪷

Doris Yin 东方紫莲🪷

13,136 Aufrufe • vor 9 Monaten

Andrej Karpathy: "90% of Claude's mistakes come from missing context, not a weak model." 41% mistake rate without a CLAUDE.md. 11% with the 4-rule baseline. 3% with the 12-rule version below here are the 12 rules senior engineers settled on: 1. think before coding: state assumptions, don't guess. the model can't read your mind, stop hoping it will 2. simplicity first: minimum code, no speculative abstractions. the moment you let Claude add "for future flexibility," you've added 200 lines you'll delete next quarter 3. surgical changes: touch only what you must. don't let it improve adjacent code, that's how PRs blow up 4. goal-driven execution: define success criteria upfront, loop until verified. without them Claude either loops forever or stops too early 5. use the model only for judgment calls: classification, drafting, summarization, extraction. NOT routing, retries, status-code handling, deterministic transforms. if code can answer, code answers 6. token budgets are not advisory: per-task 4000, per-session 30000. by message 40 of a long debug, Claude is re-suggesting fixes you rejected at message 5 7. surface conflicts, don't average them: two patterns in the codebase? pick one. Claude blending them is how errors get swallowed twice 8. read before you write: read exports, callers, shared utilities. Claude will happily add a duplicate function next to an identical one it never read 9. tests verify intent, not just behavior: a test that can't fail when business logic changes is wrong. all 12 of Claude's tests can pass while the function returns a constant 10. checkpoint every significant step: Claude finished steps 5 and 6 on top of a broken state from step 4. nobody noticed for an hour 11. match the codebase conventions: class components? don't fork to hooks silently. testing patterns assumed componentDidMount, hooks broke them without surfacing 12. fail loud: "completed successfully" with 14% of records silently skipped is the worst class of bug. surface uncertainty, don't hide it what actually compounds instead of the next framework: - the CLAUDE.md file as institutional memory across sessions - eval-driven changes, not vibe-driven - checkpoints over speed - explicit conflicts over silent blending - discipline over framework, every time - one repo, one rules file, no exceptions be a few rules ahead of AI twitter before this becomes mass-opinion study this
1:04:59

Andrej Karpathy: "90% of Claude's mistakes come from missing context, not a weak model." 41% mistake rate without a CLAUDE.md. 11% with the 4-rule baseline. 3% with the 12-rule version below here are the 12 rules senior engineers settled on: 1. think before coding: state assumptions, don't guess. the model can't read your mind, stop hoping it will 2. simplicity first: minimum code, no speculative abstractions. the moment you let Claude add "for future flexibility," you've added 200 lines you'll delete next quarter 3. surgical changes: touch only what you must. don't let it improve adjacent code, that's how PRs blow up 4. goal-driven execution: define success criteria upfront, loop until verified. without them Claude either loops forever or stops too early 5. use the model only for judgment calls: classification, drafting, summarization, extraction. NOT routing, retries, status-code handling, deterministic transforms. if code can answer, code answers 6. token budgets are not advisory: per-task 4000, per-session 30000. by message 40 of a long debug, Claude is re-suggesting fixes you rejected at message 5 7. surface conflicts, don't average them: two patterns in the codebase? pick one. Claude blending them is how errors get swallowed twice 8. read before you write: read exports, callers, shared utilities. Claude will happily add a duplicate function next to an identical one it never read 9. tests verify intent, not just behavior: a test that can't fail when business logic changes is wrong. all 12 of Claude's tests can pass while the function returns a constant 10. checkpoint every significant step: Claude finished steps 5 and 6 on top of a broken state from step 4. nobody noticed for an hour 11. match the codebase conventions: class components? don't fork to hooks silently. testing patterns assumed componentDidMount, hooks broke them without surfacing 12. fail loud: "completed successfully" with 14% of records silently skipped is the worst class of bug. surface uncertainty, don't hide it what actually compounds instead of the next framework: - the CLAUDE.md file as institutional memory across sessions - eval-driven changes, not vibe-driven - checkpoints over speed - explicit conflicts over silent blending - discipline over framework, every time - one repo, one rules file, no exceptions be a few rules ahead of AI twitter before this becomes mass-opinion study this

Ronin

451,845 Aufrufe • vor 4 Monaten

The Virtue of Pragmatism in Startup Scaling. 🚀 I always find it important that we share the learnings of our journey and I hope this post today speaks to someone out there building in Ag for Africa. Last week, I made my pitch representing Kenya🇰🇪 at the Africa’s Business Heroes Top 20 semi-finals in Kigali, Rwanda 🇷🇼 for a chance to make the top 10. I had just taken an 8-hour flight from New Delhi with my family following my daughter's successful BMT treatment, landed🛬 and took the next flight🛫 to Kigali. That's what it means to be a Founder, you keep moving. My head space needed to quickly adapt from thinking about my daughter's health to my startup pitch after 4 hours of sleep. During the pitch for Synnefa a judge asked why our projections seemed gentle given the huge market potential. It was a fair challenge from the judge, which I agree, to be bolder and more ambitious. My response was to defend our pragmatic step-by-step growth versus unbridled optimism. Through our journey so far, we've learned not to let ambition cloud prudent judgment. Our duty is to build credibility through achievable milestones while accounting for risks. In agriculture, outcomes depend on uncontrollable factors like weather and market prices. We can't predict with certainty. So we plan conservatively, focused on probable short-term wins. We also know that for us to scale sustainably, we can't go it alone. We need strong local partners in each new market to share costs, resources and risk. And those strategic relationships take time to cultivate. There is no shortcut or silver bullet to this. Its simpy hardwork. You need to put in the time and effort to create the right partnerships that will serve your farmers in each market you wish to expand to. Even locally in Kenya, farming varies in each region whether Central, Coast, Western or Nyanza. Could we portray more impressive hockey stick growth charts? Sure! But from my 9 years of experience building in Ag, we know steady pragmatic progress is better than overreach. With each phase, we'll earn the fuel needed to expand further. It's about laying foundations today that earn you the right to realize your full potential tomorrow. Other startups may have different paths and that's okay, it is what works for them but we've embraced pragmatism as a virtue, not a shortcoming. It's how we'll build trust, gain credibility, and lay the foundations to someday fully realize Synnefa’s potential. These are intangible assets that bold ambitions will follow from careful beginnings. Building an agtech startup is a marathon, not a sprint. We want to build for Africa and we know this will be a long game. Have a look at the video and share with me your thoughts. Do you think I am timid? Have you faced similar choices between boldness and pragmatism? #ABH2023 #entrepreneurship #agtech #innovation #startups
1:31

The Virtue of Pragmatism in Startup Scaling. 🚀 I always find it important that we share the learnings of our journey and I hope this post today speaks to someone out there building in Ag for Africa. Last week, I made my pitch representing Kenya🇰🇪 at the Africa’s Business Heroes Top 20 semi-finals in Kigali, Rwanda 🇷🇼 for a chance to make the top 10. I had just taken an 8-hour flight from New Delhi with my family following my daughter's successful BMT treatment, landed🛬 and took the next flight🛫 to Kigali. That's what it means to be a Founder, you keep moving. My head space needed to quickly adapt from thinking about my daughter's health to my startup pitch after 4 hours of sleep. During the pitch for Synnefa a judge asked why our projections seemed gentle given the huge market potential. It was a fair challenge from the judge, which I agree, to be bolder and more ambitious. My response was to defend our pragmatic step-by-step growth versus unbridled optimism. Through our journey so far, we've learned not to let ambition cloud prudent judgment. Our duty is to build credibility through achievable milestones while accounting for risks. In agriculture, outcomes depend on uncontrollable factors like weather and market prices. We can't predict with certainty. So we plan conservatively, focused on probable short-term wins. We also know that for us to scale sustainably, we can't go it alone. We need strong local partners in each new market to share costs, resources and risk. And those strategic relationships take time to cultivate. There is no shortcut or silver bullet to this. Its simpy hardwork. You need to put in the time and effort to create the right partnerships that will serve your farmers in each market you wish to expand to. Even locally in Kenya, farming varies in each region whether Central, Coast, Western or Nyanza. Could we portray more impressive hockey stick growth charts? Sure! But from my 9 years of experience building in Ag, we know steady pragmatic progress is better than overreach. With each phase, we'll earn the fuel needed to expand further. It's about laying foundations today that earn you the right to realize your full potential tomorrow. Other startups may have different paths and that's okay, it is what works for them but we've embraced pragmatism as a virtue, not a shortcoming. It's how we'll build trust, gain credibility, and lay the foundations to someday fully realize Synnefa’s potential. These are intangible assets that bold ambitions will follow from careful beginnings. Building an agtech startup is a marathon, not a sprint. We want to build for Africa and we know this will be a long game. Have a look at the video and share with me your thoughts. Do you think I am timid? Have you faced similar choices between boldness and pragmatism? #ABH2023 #entrepreneurship #agtech #innovation #startups

Taita Ngetich

19,339 Aufrufe • vor 3 Jahren