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Fix your Aim feeling inconsistent on Windows 10/11 in 20 Seconds Default pointer accel + USB power saving = inconsistent tracking and random input lag spikes Fixed in 2 clicks with PTU ✅Raw Aim Curve = 0/0 thresholds, zero accel, raw input ✅USB Power Guard = kills USB sleep...

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Master the laws of power. Featured in this video: Ryan Holiday Daily Stoic Simon Sinek Tom Bilyeu Dr Jordan B Peterson Jay Shetty Timestamps: 0:00 Introduction 0:25 Power is about Psychology 1:18 Never Put Too Much Trust in Friends, Learn How To Use Enemies 2:05 Always Say Less Than Necessary 3:32 Understand the People Around You 4:52 Get Other People To Do The Work For You, But Always Take The Credit 5:36 So Much Depends on Reputation Guard It With Your Life 7:19 Be Royal in Your Own Fashion 8:19 Learn To Keep People Dependent On You 9:07 Power Is Not Evil or Good 9:50 Stop Blaming The World 10:35 Become Irreplaceable 11:38 Power of Infection 12:33 Enter Action With Boldness 13:14 Don't Do This If You Want Power 15:48 Don't Shy Away From Ambition 16:25 Get Your Hands Dirty 17:20 Power Matters 18:20 Distortion of 48 Laws of Power
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Master the laws of power. Featured in this video: Ryan Holiday Daily Stoic Simon Sinek Tom Bilyeu Dr Jordan B Peterson Jay Shetty Timestamps: 0:00 Introduction 0:25 Power is about Psychology 1:18 Never Put Too Much Trust in Friends, Learn How To Use Enemies 2:05 Always Say Less Than Necessary 3:32 Understand the People Around You 4:52 Get Other People To Do The Work For You, But Always Take The Credit 5:36 So Much Depends on Reputation Guard It With Your Life 7:19 Be Royal in Your Own Fashion 8:19 Learn To Keep People Dependent On You 9:07 Power Is Not Evil or Good 9:50 Stop Blaming The World 10:35 Become Irreplaceable 11:38 Power of Infection 12:33 Enter Action With Boldness 13:14 Don't Do This If You Want Power 15:48 Don't Shy Away From Ambition 16:25 Get Your Hands Dirty 17:20 Power Matters 18:20 Distortion of 48 Laws of Power

Robert Greene

66,579 görüntüleme • 2 yıl önce

My second interview with Jim Belosic, Founder of sendcutsend. 0:15 Beating China in manufacturing requires scale 1:10 Automation is not a magic bullet 2:12 Scaling profitably 4:31 Delivering a great customer experience 8:44 Why SCS raised $110M 11:20 Expectations are promises 15:33 Increasing speed and capacity 18:46 Focusing on customers 22:20 Frugality and generosity 25:06 Creating The Anything Factory 26:33 3pm is the new midnight 27:49 Figuring out the next bottleneck 30:37 Finding buildings with enough power 35:21 Lowering prices 37:36 Gambling to turn on factories faster 39:03 Aim for perfection and you’ll end up at excellence 40:04 Maintaining a maniacal sense of urgency through impatience 41:30 Seeding SCS DNA at new factories 43:08 Solving challenges 45:32 Finding great capital partners 48:40 Focus on customer pain 51:59 Learning from Home Depot 54:16 Bringing manufacturing back to America 55:11 Building capacity creates demand 57:01 Handling demand surges 58:21 Being default skeptical and sensing bullsh*t 1:00:27 Getting back to building
1:01:51

My second interview with Jim Belosic, Founder of sendcutsend. 0:15 Beating China in manufacturing requires scale 1:10 Automation is not a magic bullet 2:12 Scaling profitably 4:31 Delivering a great customer experience 8:44 Why SCS raised $110M 11:20 Expectations are promises 15:33 Increasing speed and capacity 18:46 Focusing on customers 22:20 Frugality and generosity 25:06 Creating The Anything Factory 26:33 3pm is the new midnight 27:49 Figuring out the next bottleneck 30:37 Finding buildings with enough power 35:21 Lowering prices 37:36 Gambling to turn on factories faster 39:03 Aim for perfection and you’ll end up at excellence 40:04 Maintaining a maniacal sense of urgency through impatience 41:30 Seeding SCS DNA at new factories 43:08 Solving challenges 45:32 Finding great capital partners 48:40 Focus on customer pain 51:59 Learning from Home Depot 54:16 Bringing manufacturing back to America 55:11 Building capacity creates demand 57:01 Handling demand surges 58:21 Being default skeptical and sensing bullsh*t 1:00:27 Getting back to building

Ti Morse

72,258 görüntüleme • 2 ay önce

just copy the prompt below and paste on Utopai the PAI agent turns it into script, create storyline, generate clips and edit all by itself prompt: High-energy 3D CGI animated comedy short, Pixar quality, ultra-detailed character animation, exaggerated physics, vibrant colors, warm orange kitchen lighting with glowing flames, bright daylight city streets, dynamic camera work with fast pans, tilts and dramatic angles, subtle motion blur on fast movements, comedic timing and expressions, upbeat energetic music with whooshes and impacts. **Main Character Casting Descriptions:** - **Pizza Chef - Jack (main actor in kitchen)**: Early 50s energetic male, messy silver hair, large prominent nose, thick expressive eyebrows, sharp intense eyes, fair skin with slight blush from heat. Wears white double-breasted chef jacket, wear white chef hat with text “el.cine” in front, gree neckerchief. Highly animated face — furrowed brows, focused squint, dramatic determination turning to exhaustion. - **Pizza Delivery Guy - Tom (main actor on street/scooter)**: Late teens/early 20s lanky male, long blue hair, huge expressive brown eyes, long nose, very animated facial expressions (surprise, determination, panic, relief). Wears white helmet with spinning yellow propeller on to, light blue leather with text el.cine at back, white pants, sneakers. Fast, exaggerated movements. - **Customer (final shot)**: Large, middle-aged stern woman, brown hair, heavy eyebrows, downturned mouth, wearing beige suit jacket, white shirt, dark trousers. Standing in doorway with impatient/annoyed expression. SHOT 1 (0:00–0:02) – Cinematic fast motion, dramatic low angle with subtle Dutch tilt and intense push-in: fast push from kitchen wide shot to close up on the Pizza Chef’s face in the bustling kitchen. He grips the large pepperoni pizza on a metal tray with raw, over-the-top determination — brows dramatically furrowed into deep angry V-shapes, eyes sharply narrowed with a fierce glint and slight crazy wideness at the edges, teeth gritted in heroic effort, dramatic sweat beads flying off his forehead. Bright orange flames explode upward from the pizza in the foreground with massive sparks and heat waves licking toward his face. Dynamic camera orbits left while pushing in for maximum tension, subtle motion blur on the flames. Background shows chaotic kitchen with stacked pizza boxes, glowing ovens, and flying embers. SHOT 2 (0:02–0:04) – Medium close-up, eye-level: Chef lifts the flaming pizza higher with both hands, leans forward, eyes wide with concentration as flames lick upward toward his face. SHOT 3 (0:04–0:06) – Medium shot, eye-level, dynamic pan: Chef dramatically spins the flaming pizza on the peel in a huge fiery arc above his head, left hand on forehead in dramatic pose, right arm extended. Flames trail in a perfect circle. SHOT 4 (0:06–0:08) – Low-angle dramatic shot looking up: Chef tosses the flaming pizza high into the air with both hands. The camera follows the spinning fiery pizza as it arcs toward the ceiling tiles. SHOT 5 (0:08–0:10) – Extreme low-angle on ceiling: The flaming pizza spins in a perfect circle of fire against the tiled ceiling, sparks flying. SHOT 6 (0:10–0:12) – Wide dynamic shot, low angle: Chef does a full acrobatic flip in mid-air, upside-down, catching the flaming pizza behind his back while still in the air. SHOT 7 (0:12–0:14) – Wide action shot, eye-level: Chef lands in a wide stance, spins the flaming pizza on one hand like a basketball, then dramatically throws it forward toward the open doorway with full body power, flames trailing, quick push in and follow the close up of the flying pizza in slow motion SHOT 8 (0:14–0:16) – Medium shot on street, eye-level: Pizza Delivery Guy stands outside the shop holding an empty pizza box, looking down at his watch with bored expression, propeller on helmet slowly spinning. SHOT 9 (0:16–0:18) – Medium close-up, eye-level: Chef (partially visible inside doorway) throws the flaming pepperoni pizza directly toward the Delivery Guy. Delivery Guy looks up with wide-eyed shock. SHOT 10 (0:18–0:20) – Medium shot, eye-level: slow motion, close up of the flaming pizza flies straight into the open pizza box held by the Delivery Guy. Flames whoosh past his face as he catches it perfectly. SHOT 11 (0:20–0:22) – Close-up on Delivery Guy’s face: His eyes go extremely wide in surprise, mouth open, propeller spinning faster, and talk excitedly SHOT 12 (0:22–0:24) – Extreme close-up on smartphone screen held in hand: Red digital timer clearly shows “00:30” counting down. SHOT 13 (0:24–0:26) – Close-up on Delivery Guy’s face: Expression changes from shock to intense determination — eyebrows lowered, mouth set in a smirk, eyes focused. SHOT 14 (0:26–0:50 end) – Wide tracking shot from behind, fast-paced: Delivery Guy jumps on his purple scooter and speeds away down the sunny city street, pizza box secured on the back. Camera follows as he weaves between cars, jumps over red-and-white construction barriers, rides up stairs, does rooftop jumps, and finally stops smoothly in front of a house. He turns with a confident smile as the stern Customer opens the door and stares at him and says with an angry tone “you are late” cut to Tom smiling awkwardly and scratch the back of his head, he takes the pizza from his back and suddenly he slide and fall down on the ground Cinematic 3D CGI animation style, highly exaggerated comedic action, perfect continuity of the flaming pizza and characters, dynamic camera movements exactly matching the original video’s pacing, framing, and energetic tone. Photorealistic 3D render quality, 1080p, 24fps.
0:25

just copy the prompt below and paste on Utopai the PAI agent turns it into script, create storyline, generate clips and edit all by itself prompt: High-energy 3D CGI animated comedy short, Pixar quality, ultra-detailed character animation, exaggerated physics, vibrant colors, warm orange kitchen lighting with glowing flames, bright daylight city streets, dynamic camera work with fast pans, tilts and dramatic angles, subtle motion blur on fast movements, comedic timing and expressions, upbeat energetic music with whooshes and impacts. **Main Character Casting Descriptions:** - **Pizza Chef - Jack (main actor in kitchen)**: Early 50s energetic male, messy silver hair, large prominent nose, thick expressive eyebrows, sharp intense eyes, fair skin with slight blush from heat. Wears white double-breasted chef jacket, wear white chef hat with text “el.cine” in front, gree neckerchief. Highly animated face — furrowed brows, focused squint, dramatic determination turning to exhaustion. - **Pizza Delivery Guy - Tom (main actor on street/scooter)**: Late teens/early 20s lanky male, long blue hair, huge expressive brown eyes, long nose, very animated facial expressions (surprise, determination, panic, relief). Wears white helmet with spinning yellow propeller on to, light blue leather with text el.cine at back, white pants, sneakers. Fast, exaggerated movements. - **Customer (final shot)**: Large, middle-aged stern woman, brown hair, heavy eyebrows, downturned mouth, wearing beige suit jacket, white shirt, dark trousers. Standing in doorway with impatient/annoyed expression. SHOT 1 (0:00–0:02) – Cinematic fast motion, dramatic low angle with subtle Dutch tilt and intense push-in: fast push from kitchen wide shot to close up on the Pizza Chef’s face in the bustling kitchen. He grips the large pepperoni pizza on a metal tray with raw, over-the-top determination — brows dramatically furrowed into deep angry V-shapes, eyes sharply narrowed with a fierce glint and slight crazy wideness at the edges, teeth gritted in heroic effort, dramatic sweat beads flying off his forehead. Bright orange flames explode upward from the pizza in the foreground with massive sparks and heat waves licking toward his face. Dynamic camera orbits left while pushing in for maximum tension, subtle motion blur on the flames. Background shows chaotic kitchen with stacked pizza boxes, glowing ovens, and flying embers. SHOT 2 (0:02–0:04) – Medium close-up, eye-level: Chef lifts the flaming pizza higher with both hands, leans forward, eyes wide with concentration as flames lick upward toward his face. SHOT 3 (0:04–0:06) – Medium shot, eye-level, dynamic pan: Chef dramatically spins the flaming pizza on the peel in a huge fiery arc above his head, left hand on forehead in dramatic pose, right arm extended. Flames trail in a perfect circle. SHOT 4 (0:06–0:08) – Low-angle dramatic shot looking up: Chef tosses the flaming pizza high into the air with both hands. The camera follows the spinning fiery pizza as it arcs toward the ceiling tiles. SHOT 5 (0:08–0:10) – Extreme low-angle on ceiling: The flaming pizza spins in a perfect circle of fire against the tiled ceiling, sparks flying. SHOT 6 (0:10–0:12) – Wide dynamic shot, low angle: Chef does a full acrobatic flip in mid-air, upside-down, catching the flaming pizza behind his back while still in the air. SHOT 7 (0:12–0:14) – Wide action shot, eye-level: Chef lands in a wide stance, spins the flaming pizza on one hand like a basketball, then dramatically throws it forward toward the open doorway with full body power, flames trailing, quick push in and follow the close up of the flying pizza in slow motion SHOT 8 (0:14–0:16) – Medium shot on street, eye-level: Pizza Delivery Guy stands outside the shop holding an empty pizza box, looking down at his watch with bored expression, propeller on helmet slowly spinning. SHOT 9 (0:16–0:18) – Medium close-up, eye-level: Chef (partially visible inside doorway) throws the flaming pepperoni pizza directly toward the Delivery Guy. Delivery Guy looks up with wide-eyed shock. SHOT 10 (0:18–0:20) – Medium shot, eye-level: slow motion, close up of the flaming pizza flies straight into the open pizza box held by the Delivery Guy. Flames whoosh past his face as he catches it perfectly. SHOT 11 (0:20–0:22) – Close-up on Delivery Guy’s face: His eyes go extremely wide in surprise, mouth open, propeller spinning faster, and talk excitedly SHOT 12 (0:22–0:24) – Extreme close-up on smartphone screen held in hand: Red digital timer clearly shows “00:30” counting down. SHOT 13 (0:24–0:26) – Close-up on Delivery Guy’s face: Expression changes from shock to intense determination — eyebrows lowered, mouth set in a smirk, eyes focused. SHOT 14 (0:26–0:50 end) – Wide tracking shot from behind, fast-paced: Delivery Guy jumps on his purple scooter and speeds away down the sunny city street, pizza box secured on the back. Camera follows as he weaves between cars, jumps over red-and-white construction barriers, rides up stairs, does rooftop jumps, and finally stops smoothly in front of a house. He turns with a confident smile as the stern Customer opens the door and stares at him and says with an angry tone “you are late” cut to Tom smiling awkwardly and scratch the back of his head, he takes the pizza from his back and suddenly he slide and fall down on the ground Cinematic 3D CGI animation style, highly exaggerated comedic action, perfect continuity of the flaming pizza and characters, dynamic camera movements exactly matching the original video’s pacing, framing, and energetic tone. Photorealistic 3D render quality, 1080p, 24fps.

el.cine

12,990 görüntüleme • 1 ay önce

The enemy of sleep is effort. In this episode, Dr. Michael Grandner (Dr. Michael Grandner) explains how insomnia fundamentally stems from a learned pattern of wakefulness and why, for many, the bed itself becomes a source of stress and vigilance rather than rest. We explore practical strategies to retrain your brain to effortlessly anticipate sleep rather than forcing it. Dr. Grandner also highlights why sleep apnea is shockingly prevalent yet frequently undetected, and provides effective treatment alternatives beyond CPAP. Additionally, we discuss how supplements and other substances influence sleep architecture, how to optimize sleep tracking devices, and how to strategically use sleep to enhance cognitive and physical performance. This is an essential podcast for anyone looking to improve their sleep. Links in the comments. Timestamps: 0:00 - Introduction 1:33 - Insomnia vs. poor sleep 3:59 - Does stressing worsen insomnia? 10:28 - Why CBT-I targets wakefulness 12:59 - Reserving bed strictly for sleep 17:11 - Can trying too hard backfire? 18:26 - A fix for nighttime scrolling 21:47 - Can't fall back asleep? Get up 24:39 - Why effort keeps you awake 26:18 - Sleep restriction therapy 28:57 - How to fall asleep faster 31:39 - Avoiding bedtime cliffhangers 33:20 - Sedatives vs. CBT-I 37:33 - Insomnia by the numbers 38:54 - Why sleep apnea is so common 42:31 - Nighttime waking & sleep apnea 48:37 - At-home apnea tests 50:10 - What causes sleep apnea? 52:52 - Sleep stages 1:01:20 - Why do we dream? 1:05:38 - Apnea destroys sleep architecture 1:07:07 - Sleep apnea & Alzheimer’s risk 1:10:07 - Poor sleep, attention & memory 1:13:23 - CPAP alternatives 1:17:26 - Mouth taping 1:19:30 - Measuring apnea treatment success 1:21:33 - Sleep hygiene for chaotic schedules 1:25:00 - Do blue-blockers enhance sleep? 1:25:46 - Why morning light matters 1:30:33 - Should you delay morning coffee? 1:34:30 - Consistent mornings vs. bedtimes 1:38:01 - Revenge bedtime procrastination 1:42:49 - Is 5 mg melatonin too much? 1:50:25 - Are melatonin labels misleading? 1:53:19 - Melatonin & immune system boost 1:54:14 - Melatonin safety myths 1:58:35 - Magnesium, glycine, & L-theanine 2:01:37 - Glutamine & B12 disrupt sleep 2:03:08 - THC & REM sleep 2:09:36 - Does CBD help? 2:12:09 - Alcohol as a sleep aid 2:15:06 - How late is too late for caffeine? 2:19:19 - Staying up late & unhealthy eating 2:24:09 - Is shift work worse than smoking? 2:27:51 - Ideal power nap length 2:29:38 - Napping advice for shift workers 2:32:18 - How to beat jet lag 2:40:22 - Do trackers detect wakefulness? 2:43:56 - Sleep stage tracking accuracy 2:48:24 - Wearable sleep scores 2:57:56 - Evening habits elevating heart rate 2:59:59 - Insufficient REM & deep sleep 3:02:55 - Orthosomnia from sleep trackers 3:07:12 - Better sleep & cognitive resilience 3:09:42 - School start times vs. teen biology 3:14:26 - A sleep hack for athletes 3:16:36 - Sleep banking before competition 3:19:03 - Poor sleep & injury risk 3:24:00 - Why caffeine can't fix poor sleep 3:25:38 - Eye masks & earplugs 3:27:15 - Proven ways to fall asleep faster 3:29:11 - Reading before bed 3:30:02 - Algorithm for falling back asleep 3:31:04 - Proven strategy for deeper sleep 3:32:27 - Reducing nighttime urination 3:34:11 - Does sharing a bed disrupt sleep? 3:35:50 - Are you sleeping enough? 3:37:28 - Do you really need 8 hours? 3:38:42 - Adjusting to your chronotype
3:40:43

The enemy of sleep is effort. In this episode, Dr. Michael Grandner (Dr. Michael Grandner) explains how insomnia fundamentally stems from a learned pattern of wakefulness and why, for many, the bed itself becomes a source of stress and vigilance rather than rest. We explore practical strategies to retrain your brain to effortlessly anticipate sleep rather than forcing it. Dr. Grandner also highlights why sleep apnea is shockingly prevalent yet frequently undetected, and provides effective treatment alternatives beyond CPAP. Additionally, we discuss how supplements and other substances influence sleep architecture, how to optimize sleep tracking devices, and how to strategically use sleep to enhance cognitive and physical performance. This is an essential podcast for anyone looking to improve their sleep. Links in the comments. Timestamps: 0:00 - Introduction 1:33 - Insomnia vs. poor sleep 3:59 - Does stressing worsen insomnia? 10:28 - Why CBT-I targets wakefulness 12:59 - Reserving bed strictly for sleep 17:11 - Can trying too hard backfire? 18:26 - A fix for nighttime scrolling 21:47 - Can't fall back asleep? Get up 24:39 - Why effort keeps you awake 26:18 - Sleep restriction therapy 28:57 - How to fall asleep faster 31:39 - Avoiding bedtime cliffhangers 33:20 - Sedatives vs. CBT-I 37:33 - Insomnia by the numbers 38:54 - Why sleep apnea is so common 42:31 - Nighttime waking & sleep apnea 48:37 - At-home apnea tests 50:10 - What causes sleep apnea? 52:52 - Sleep stages 1:01:20 - Why do we dream? 1:05:38 - Apnea destroys sleep architecture 1:07:07 - Sleep apnea & Alzheimer’s risk 1:10:07 - Poor sleep, attention & memory 1:13:23 - CPAP alternatives 1:17:26 - Mouth taping 1:19:30 - Measuring apnea treatment success 1:21:33 - Sleep hygiene for chaotic schedules 1:25:00 - Do blue-blockers enhance sleep? 1:25:46 - Why morning light matters 1:30:33 - Should you delay morning coffee? 1:34:30 - Consistent mornings vs. bedtimes 1:38:01 - Revenge bedtime procrastination 1:42:49 - Is 5 mg melatonin too much? 1:50:25 - Are melatonin labels misleading? 1:53:19 - Melatonin & immune system boost 1:54:14 - Melatonin safety myths 1:58:35 - Magnesium, glycine, & L-theanine 2:01:37 - Glutamine & B12 disrupt sleep 2:03:08 - THC & REM sleep 2:09:36 - Does CBD help? 2:12:09 - Alcohol as a sleep aid 2:15:06 - How late is too late for caffeine? 2:19:19 - Staying up late & unhealthy eating 2:24:09 - Is shift work worse than smoking? 2:27:51 - Ideal power nap length 2:29:38 - Napping advice for shift workers 2:32:18 - How to beat jet lag 2:40:22 - Do trackers detect wakefulness? 2:43:56 - Sleep stage tracking accuracy 2:48:24 - Wearable sleep scores 2:57:56 - Evening habits elevating heart rate 2:59:59 - Insufficient REM & deep sleep 3:02:55 - Orthosomnia from sleep trackers 3:07:12 - Better sleep & cognitive resilience 3:09:42 - School start times vs. teen biology 3:14:26 - A sleep hack for athletes 3:16:36 - Sleep banking before competition 3:19:03 - Poor sleep & injury risk 3:24:00 - Why caffeine can't fix poor sleep 3:25:38 - Eye masks & earplugs 3:27:15 - Proven ways to fall asleep faster 3:29:11 - Reading before bed 3:30:02 - Algorithm for falling back asleep 3:31:04 - Proven strategy for deeper sleep 3:32:27 - Reducing nighttime urination 3:34:11 - Does sharing a bed disrupt sleep? 3:35:50 - Are you sleeping enough? 3:37:28 - Do you really need 8 hours? 3:38:42 - Adjusting to your chronotype

Dr. Rhonda Patrick

192,656 görüntüleme • 9 ay önce

Introducing Typeless for iPhone. -- When the iPhone was introduced, Steve Jobs intentionally removed the physical keyboard. A fixed keyboard couldn't adapt, but a virtual one could - and that decision defined the smartphone era. We believe that wasn't the final step. The virtual keyboard was a transition. Voice is the next generation. -- When we launched Typeless on Mac and Windows, tens of thousands of people resonated with this idea. And the number one request we heard, again and again, was: “Bring Typeless to mobile.” Today, I'm excited to launch Typeless for iPhone. Typeless for iOS is an AI voice keyboard that understands your intent and turns your raw speech into clear, polished, natural writing - effortlessly and in real time. No commands. No formatting tricks. It reads as if you carefully wrote it yourself. -- Core features: Works everywhere - Every app on your iPhone: iMessage, Slack, Mail, Notes, and more AI auto-editing - Removes filler words, fixes grammar, and formats perfectly as you speak Speak to edit - Revise, refine, or rephrase by simply saying what you want to change Whisper mode - Dictate quietly and precisely in low-voice environments 100+ languages - Speak any language (or mix them); Typeless detects and transcribes automatically Personal dictionary - Names, brands, and custom vocabulary learned once, never missed Private by design - Zero data retention. We never store or train on your data. All history stays on your device When input friction disappears on a phone, everything changes. Your iPhone becomes capable of things that once felt impossible - at 10× the speed. This isn't just a new app. It's a new way to use your phone. Welcome to the end of typing. Welcome to Typeless. -- Dictated with Typeless
2:04

Introducing Typeless for iPhone. -- When the iPhone was introduced, Steve Jobs intentionally removed the physical keyboard. A fixed keyboard couldn't adapt, but a virtual one could - and that decision defined the smartphone era. We believe that wasn't the final step. The virtual keyboard was a transition. Voice is the next generation. -- When we launched Typeless on Mac and Windows, tens of thousands of people resonated with this idea. And the number one request we heard, again and again, was: “Bring Typeless to mobile.” Today, I'm excited to launch Typeless for iPhone. Typeless for iOS is an AI voice keyboard that understands your intent and turns your raw speech into clear, polished, natural writing - effortlessly and in real time. No commands. No formatting tricks. It reads as if you carefully wrote it yourself. -- Core features: Works everywhere - Every app on your iPhone: iMessage, Slack, Mail, Notes, and more AI auto-editing - Removes filler words, fixes grammar, and formats perfectly as you speak Speak to edit - Revise, refine, or rephrase by simply saying what you want to change Whisper mode - Dictate quietly and precisely in low-voice environments 100+ languages - Speak any language (or mix them); Typeless detects and transcribes automatically Personal dictionary - Names, brands, and custom vocabulary learned once, never missed Private by design - Zero data retention. We never store or train on your data. All history stays on your device When input friction disappears on a phone, everything changes. Your iPhone becomes capable of things that once felt impossible - at 10× the speed. This isn't just a new app. It's a new way to use your phone. Welcome to the end of typing. Welcome to Typeless. -- Dictated with Typeless

Huang Song

1,325,893 görüntüleme • 7 ay önce

Imagine feeling like you’re in your 20s again — no CPAP, no endless pills, boundless energy every single day. That’s exactly what happened to Dana White after 10 weeks working with Gary Brecka… and Megyn Kelly just got him to spill every detail. The crazy part? It’s not some secret peptide or $20,000 IV drip. It starts with three non-negotiables that every single Blue Zone (the places where people routinely live past 100) has in common: 1. Sleep like your life depends on it (because it does) 2. Eat only foods your great-grandmother would recognize 3. Move every single day — sitting really is the new smoking But here’s where it gets wild: once those are locked in, Brecka runs one simple cheek-swab genetic test that shows exactly which raw materials (vitamins, minerals, methylated folate, etc.) your unique body can’t convert properly. Give your body the exact nutrients it’s been begging for — often things as basic as real vitamin D3 from sunlight or a bioavailable B vitamin — and the results feel like pure magic. Restless mind at 2 a.m.? Fixed. Bloated after the same meal one day but not the next? Gone. Brain fog and zero motivation? Suddenly you’re crushing life again. This 5:49 clip of Gary laying it all out for Megyn is straight fire — zero fluff, all science, all results. If you’ve ever wondered why you’re “doing everything right” but still feel off… watch this now. Your future 20-year-old-feeling self will thank you
5:49

Imagine feeling like you’re in your 20s again — no CPAP, no endless pills, boundless energy every single day. That’s exactly what happened to Dana White after 10 weeks working with Gary Brecka… and Megyn Kelly just got him to spill every detail. The crazy part? It’s not some secret peptide or $20,000 IV drip. It starts with three non-negotiables that every single Blue Zone (the places where people routinely live past 100) has in common: 1. Sleep like your life depends on it (because it does) 2. Eat only foods your great-grandmother would recognize 3. Move every single day — sitting really is the new smoking But here’s where it gets wild: once those are locked in, Brecka runs one simple cheek-swab genetic test that shows exactly which raw materials (vitamins, minerals, methylated folate, etc.) your unique body can’t convert properly. Give your body the exact nutrients it’s been begging for — often things as basic as real vitamin D3 from sunlight or a bioavailable B vitamin — and the results feel like pure magic. Restless mind at 2 a.m.? Fixed. Bloated after the same meal one day but not the next? Gone. Brain fog and zero motivation? Suddenly you’re crushing life again. This 5:49 clip of Gary laying it all out for Megyn is straight fire — zero fluff, all science, all results. If you’ve ever wondered why you’re “doing everything right” but still feel off… watch this now. Your future 20-year-old-feeling self will thank you

Camus

401,257 görüntüleme • 7 ay önce

I run my google ads with OpenClaw🦞 for $0/month 😱 here's the system that runs autonomously: step 1: map what you're actually spending → agent pulls every keyword from your Google Ads account → classifies intent: buyers, researchers, comparison shoppers, freebie hunters → tells you if overspending on clicks or if you're buying the wrong ones step 2: kill waste before it compounds → OpenClaw🦞 flags keywords burning budget with NO buying intent → specific negatives that won't kill your good traffic by accident → one account: 23% of spend on research queries. zero conversions. gone. step 3: separate winners from losers → buyers and researchers in the same ad group = bids optimizing against trash → agent shows you exactly which ad groups to break up → clean signal in, clean decisions out step 4: write ads from real buyer language → agent reads what your converting searchers actually type → generates RSAs from their words, → not templates. not Google's auto-AI. patterns from YOUR winners step 5: apply with instant undo → every change is a draft. dry run. confirm. done. → negatives, pauses, budget shifts w/ full audit trail → nothing hits your account without you saying yes step 6: morning brief + memory that compounds → /google-ads daily = what matters today. 90 seconds. → bleeding campaigns, wasted spend, what's ready to scale → week 4 catches what week 1 missed. it doesn't forget input: your google ads account + your target CPA output: an AI that kills waste, writes ads, shifts budget, and learns what works agencies charge $3-5K/month for this. this runs for $0. I packaged the entire system as the google ads kit. 15 OpenClaw🦞 skills: - connect (setup + health check) - daily (what matters today) - audit (full strategic review) - search-terms (waste + signal + routing) - intent-map (compounds across sessions) - negatives (scoped, with collateral warnings) - structure (campaign architecture) - rsas (copy from buyer language) - budget (scaling grounded in signal) - apply (controlled writes + instant undo) giving it away free. comment PAID + like + follow (must follow so i can DM)
0:22

I run my google ads with OpenClaw🦞 for $0/month 😱 here's the system that runs autonomously: step 1: map what you're actually spending → agent pulls every keyword from your Google Ads account → classifies intent: buyers, researchers, comparison shoppers, freebie hunters → tells you if overspending on clicks or if you're buying the wrong ones step 2: kill waste before it compounds → OpenClaw🦞 flags keywords burning budget with NO buying intent → specific negatives that won't kill your good traffic by accident → one account: 23% of spend on research queries. zero conversions. gone. step 3: separate winners from losers → buyers and researchers in the same ad group = bids optimizing against trash → agent shows you exactly which ad groups to break up → clean signal in, clean decisions out step 4: write ads from real buyer language → agent reads what your converting searchers actually type → generates RSAs from their words, → not templates. not Google's auto-AI. patterns from YOUR winners step 5: apply with instant undo → every change is a draft. dry run. confirm. done. → negatives, pauses, budget shifts w/ full audit trail → nothing hits your account without you saying yes step 6: morning brief + memory that compounds → /google-ads daily = what matters today. 90 seconds. → bleeding campaigns, wasted spend, what's ready to scale → week 4 catches what week 1 missed. it doesn't forget input: your google ads account + your target CPA output: an AI that kills waste, writes ads, shifts budget, and learns what works agencies charge $3-5K/month for this. this runs for $0. I packaged the entire system as the google ads kit. 15 OpenClaw🦞 skills: - connect (setup + health check) - daily (what matters today) - audit (full strategic review) - search-terms (waste + signal + routing) - intent-map (compounds across sessions) - negatives (scoped, with collateral warnings) - structure (campaign architecture) - rsas (copy from buyer language) - budget (scaling grounded in signal) - apply (controlled writes + instant undo) giving it away free. comment PAID + like + follow (must follow so i can DM)

Matthew Berman

68,566 görüntüleme • 4 ay önce

This tiny gummy could do more for your liver than most prescriptions… Ditch the chemical pills — heal with nature instead. My Dandelion + Honey Gummy Bears are packed with real healing power: ✨ Supports liver detox and healthy bile flow ✨ Reduces inflammation naturally ✨ Boosts digestion and gut health ✨ Strengthens the immune system ✨ Promotes hormone balance ✨ Helps clear skin from the inside out ✅I foraged fresh wild dandelions by hand from my garden, where I know nothing has been sprayed on them, washed them carefully, and simmered them slowly to extract every drop of their healing power — straight from the earth to your body. Here’s how I made them: 🌼Forage fresh dandelion flowers (make sure they’re from a clean, pesticide-free area) 🌼Wash thoroughly to remove dirt and insects 🌼Simmer the dandelions gently in water for about 20–30 minutes to create a rich, concentrated tea 🌼Strain the flowers out and keep the liquid 🌼Measure out 1 cup of the dandelion tea 🌼Warm the tea gently (do not boil) 🌼Whisk in 3 tbsp grass-fed gelatin powder until fully dissolved 🌼Stir in 2–3 tbsp raw organic honey & Juice of 2 Lemons 🍋 (optional) 🌼Pour into silicone molds and refrigerate until set Will you be trying this recipe? If you are drop a 🌼 in the comments, I love hearing from you when you’ve tried my recipes 🙌
0:29

This tiny gummy could do more for your liver than most prescriptions… Ditch the chemical pills — heal with nature instead. My Dandelion + Honey Gummy Bears are packed with real healing power: ✨ Supports liver detox and healthy bile flow ✨ Reduces inflammation naturally ✨ Boosts digestion and gut health ✨ Strengthens the immune system ✨ Promotes hormone balance ✨ Helps clear skin from the inside out ✅I foraged fresh wild dandelions by hand from my garden, where I know nothing has been sprayed on them, washed them carefully, and simmered them slowly to extract every drop of their healing power — straight from the earth to your body. Here’s how I made them: 🌼Forage fresh dandelion flowers (make sure they’re from a clean, pesticide-free area) 🌼Wash thoroughly to remove dirt and insects 🌼Simmer the dandelions gently in water for about 20–30 minutes to create a rich, concentrated tea 🌼Strain the flowers out and keep the liquid 🌼Measure out 1 cup of the dandelion tea 🌼Warm the tea gently (do not boil) 🌼Whisk in 3 tbsp grass-fed gelatin powder until fully dissolved 🌼Stir in 2–3 tbsp raw organic honey & Juice of 2 Lemons 🍋 (optional) 🌼Pour into silicone molds and refrigerate until set Will you be trying this recipe? If you are drop a 🌼 in the comments, I love hearing from you when you’ve tried my recipes 🙌

Barbara Oneill

97,567 görüntüleme • 12 gün önce

I run my meta ads with OpenClaw🦞 for $0/month 😱 here's the system that runs autonomously: step 1: daily health check → social-cli (major shoutout to Vishal Gopal Ojha) wraps Meta's marketing API (token refresh, pagination, rate limits all handled) → am I on track? what's running? who's winning? who's bleeding? any fatigue? → the same 5 questions I asked Ads Manager every morning for 20 years step 2: catch dying ads before CPA spikes → OpenClaw🦞 pulls daily frequency by ad → frequency > 3.5 = audience is cooked, CTR is about to drop → this one signal saves more money than any dashboard step 3: auto-pause bleeders + shift budget to winners → CPA > 2.5x target for 48hrs? auto-pause. no hesitation. → ranks every campaign by efficiency. recommends shifting spend. → last fri it paused an $87 CPA campaign at 3am and scaled my best performer 30% step 4: write new ad copy from your winners → agent analyzes what's working (hooks, angles, CTAs) → generates variations based on the patterns in YOUR top performers → copy modeled on what already converts in your account. step 5: upload ads directly to your account → new creative + copy → live in Meta Ads Manager → no more downloading, formatting, clicking through the upload flow → agent handles the entire publish cycle step 6: content concepts + morning brief → spots patterns across winners and suggests what to test next → delivers everything to Telegram, Slack, wherever you want it → 90 seconds to read. reply "approved." done. input: your ad account + your target CPA output: an AI that monitors, kills, scales, writes, AND uploads your ads dozens of hours in ad manager → 1 text message I packaged the entire system as the Meta Ads Kit. 5 OpenClaw🦞 skills: - meta-ads (daily checks + auto-pause) - ad-creative-monitor (fatigue detection) - budget-optimizer (efficiency scoring + shift recs) - ad-copy-generator (writes variations from your winners) - ad-upload (publishes creative directly to your account) giving it away free. comment ADS + like + follow (must follow so i can DM)
0:35

I run my meta ads with OpenClaw🦞 for $0/month 😱 here's the system that runs autonomously: step 1: daily health check → social-cli (major shoutout to Vishal Gopal Ojha) wraps Meta's marketing API (token refresh, pagination, rate limits all handled) → am I on track? what's running? who's winning? who's bleeding? any fatigue? → the same 5 questions I asked Ads Manager every morning for 20 years step 2: catch dying ads before CPA spikes → OpenClaw🦞 pulls daily frequency by ad → frequency > 3.5 = audience is cooked, CTR is about to drop → this one signal saves more money than any dashboard step 3: auto-pause bleeders + shift budget to winners → CPA > 2.5x target for 48hrs? auto-pause. no hesitation. → ranks every campaign by efficiency. recommends shifting spend. → last fri it paused an $87 CPA campaign at 3am and scaled my best performer 30% step 4: write new ad copy from your winners → agent analyzes what's working (hooks, angles, CTAs) → generates variations based on the patterns in YOUR top performers → copy modeled on what already converts in your account. step 5: upload ads directly to your account → new creative + copy → live in Meta Ads Manager → no more downloading, formatting, clicking through the upload flow → agent handles the entire publish cycle step 6: content concepts + morning brief → spots patterns across winners and suggests what to test next → delivers everything to Telegram, Slack, wherever you want it → 90 seconds to read. reply "approved." done. input: your ad account + your target CPA output: an AI that monitors, kills, scales, writes, AND uploads your ads dozens of hours in ad manager → 1 text message I packaged the entire system as the Meta Ads Kit. 5 OpenClaw🦞 skills: - meta-ads (daily checks + auto-pause) - ad-creative-monitor (fatigue detection) - budget-optimizer (efficiency scoring + shift recs) - ad-copy-generator (writes variations from your winners) - ad-upload (publishes creative directly to your account) giving it away free. comment ADS + like + follow (must follow so i can DM)

Matthew Berman

639,074 görüntüleme • 4 ay önce

A subnet founder allegedly walked away with $10M in TAO and torched his own community in the process. On TWiST, Mark Jeffrey of Stillcore Capital joins us to break down what really happened with Templar/Covenant, the overall fixes that co-founder Const has proposed, and why Bittensor’s incentive engine may have been a victim of its own success. PLUS we’re joined by subnet operators Will Squires and Steffan Cruz (of MacroCosmos) and Ken Miyachi of BitMind to get their perspective on the controversy, and to demo the exciting projects they’re still building on the blockchain. 0:00 Mark Jeffrey joins the show! 2:18 How Mark Jeffrey learned about Bittensor. 6:17 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at and use code TWIST for 10% off! 7:22 Mark Jeffrey's Bittensor investments. 9:25 Check out our discussion with Nova: 10:16 Sentry - New users can get $240 in free credits when they go to and use the code TWIST 10:41 Check out Ridges! 11:53 How trading alpha tokens works on Bittensor 12:44 Subnet drama: what happened? 16:01 Do subnet owners have too much power? 18:33 Check out our conversation with Sam Dare (2268): 19:10 How Sam Dare should've handled walking away (per Mark Jeffrey) 20:02 Deel - Founders scale faster on Deel. Set up payroll for any country in minutes, hire anyone anywhere, get visas handled fast, and get back to building. Visit to learn more. 23:29 Who should subnets be owned by? 24:02 Ken Miyachi from BitMind joins the show 30:56 Netsuite - Get the free business guide Demystifying AI at 31:06 Ken's $3M raise & investors (Arch, Canonical, Mechanism) 33:18 Token vs. equity: how to think about a subnet investment. 41:57 Will Squires and Stefan Kruse of MacroCosmos join the show 42:54 How MacroCosmos lets anyone become a compute provider. 56:29 Stefan on the Covenant drama: "disappointing, but solvable" 1:02:11 Off-duty with J-Cal, Mark Jeffrey, and Lon Harris 1:02:48 Bieber vs. Carpenter: does Coachella owe you a spectacle? 1:15:20 Jason says Staples should pay the "Staples baddie" $1M/year cc: @jason, Lon Harris, Mark Jeffrey, const, Distributed State, templar, covenant, Macrocosmos, Apex・SN1, IOTA ・ SN9, Ken Jon, BitMind BitMindAI 🎥 Watch the full episode here 👇
1:18:38

A subnet founder allegedly walked away with $10M in TAO and torched his own community in the process. On TWiST, Mark Jeffrey of Stillcore Capital joins us to break down what really happened with Templar/Covenant, the overall fixes that co-founder Const has proposed, and why Bittensor’s incentive engine may have been a victim of its own success. PLUS we’re joined by subnet operators Will Squires and Steffan Cruz (of MacroCosmos) and Ken Miyachi of BitMind to get their perspective on the controversy, and to demo the exciting projects they’re still building on the blockchain. 0:00 Mark Jeffrey joins the show! 2:18 How Mark Jeffrey learned about Bittensor. 6:17 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at and use code TWIST for 10% off! 7:22 Mark Jeffrey's Bittensor investments. 9:25 Check out our discussion with Nova: 10:16 Sentry - New users can get $240 in free credits when they go to and use the code TWIST 10:41 Check out Ridges! 11:53 How trading alpha tokens works on Bittensor 12:44 Subnet drama: what happened? 16:01 Do subnet owners have too much power? 18:33 Check out our conversation with Sam Dare (2268): 19:10 How Sam Dare should've handled walking away (per Mark Jeffrey) 20:02 Deel - Founders scale faster on Deel. Set up payroll for any country in minutes, hire anyone anywhere, get visas handled fast, and get back to building. Visit to learn more. 23:29 Who should subnets be owned by? 24:02 Ken Miyachi from BitMind joins the show 30:56 Netsuite - Get the free business guide Demystifying AI at 31:06 Ken's $3M raise & investors (Arch, Canonical, Mechanism) 33:18 Token vs. equity: how to think about a subnet investment. 41:57 Will Squires and Stefan Kruse of MacroCosmos join the show 42:54 How MacroCosmos lets anyone become a compute provider. 56:29 Stefan on the Covenant drama: "disappointing, but solvable" 1:02:11 Off-duty with J-Cal, Mark Jeffrey, and Lon Harris 1:02:48 Bieber vs. Carpenter: does Coachella owe you a spectacle? 1:15:20 Jason says Staples should pay the "Staples baddie" $1M/year cc: @jason, Lon Harris, Mark Jeffrey, const, Distributed State, templar, covenant, Macrocosmos, Apex・SN1, IOTA ・ SN9, Ken Jon, BitMind BitMindAI 🎥 Watch the full episode here 👇

This Week in Startups

29,964 görüntüleme • 3 ay önce

This Chinese developer linked two $2,999 NVIDIA DGX Sparks into one box and runs the full Qwen3-235B at home, after dropping his $1,999-a-month cloud bill to zero. He wired 2 small boxes into a single computer, split a giant 235-billion-parameter model in half between them, and serves it across his own network at about 10 tokens a second, with no internet, no cloud, right there on the desk. No data center, no thousand-dollar graphics cards, no monthly cloud bill. Just him, 2 gold boxes the size of a sandwich, one cable between them, and 1 power strip. And here is the whole payoff. He used to pay the cloud $1,999 a month for the same model, and the meter ticked on every request. Now he paid $5,998 once for 2 boxes, they covered their cost in 3 months, and after that he sends as many requests as he wants for free, only electricity. The two Sparks talk over one fast cable, each holds 128GB of memory, and together they carry the whole model, about 73GB loaded per box, with the chip inside pinned near the limit at 96%. Both boxes work as one and keep trading data over the cable, with no cloud in the loop and no single word leaking out. The ready model sits on one local address, and any app on his network calls it as easily as ChatGPT. And here is how he described, in plain words, what this pair of boxes does: "this is a pair of boxes that holds the huge Qwen3-235B model and serves it to one network. the model is split in half, and each box owns its half. parts: // Box 1 (holds the first half of the model and starts the answer fast, the first word appears in under a second) // Box 2 (holds the second half and writes out the rest, about 10 tokens a second) // Cable (connects the 2 boxes and moves data between them on every step, with no lag) // Address (one local address where any app sends its request, like to a cloud model) // Test (a script that runs big prompts through and measures speed and delays) // Monitor (checks temperature, power draw, and load on both boxes every 2 seconds). the model never goes to the cloud. he only steps in when a box runs hotter than 80 degrees or the cable between them starts dropping data." So the system knows exactly what it is, what it is for, and where its limits are. It knows it has to hold the whole huge model across 2 boxes on its own. It knows it has to answer every request locally, with no meter, no limits, and no internet. It knows the human is only needed when a box overheats or the link between them stalls. → The setup runs around the clock on 2 boxes, each pulling under 60 watts → However many requests he sends, the monthly bill is $0, only electricity → The first box starts the answer in under a second → The second writes text at about 10 tokens a second → One request at a time: 838 tokens in 85 seconds, first word in 0.8s → Two requests at once: 697 tokens in 108 seconds, first word in 0.7s → Both boxes sit at 96% load and warm up to 76-78 degrees And only when a chip in a box runs hotter than 80 degrees or the cable between the 2 Sparks drops data does the system call the owner. And when he himself is out on a run or in a coffee shop, he still reaches his own model at home from his phone: sends a big prompt to the local Qwen3-235B, gets the full answer back in under a minute and a half, with no token meter ticking and no limit to hit. Here is what the test shows on his screen during one of the night runs: "one request at a time: 838 tokens in 84.9 seconds, first word in 0.8s, then 0.1s per token." "two requests at once: 697 tokens in 107.6 seconds, first word in 0.7s, then 0.15s per token." "Box 1: chip at 96% load, 76 degrees, 56 watts, 73GB used in memory." "Box 2: chip at 96% load, 78 degrees, 56 watts, the Qwen3-235B model fully loaded." And while everyone around is paying for AI by the month and bumping into limits, his top-tier model just sits on the desk and works as much as he wants: his own little power plant instead of a forever meter. He has no server rack of his own and no cloud account behind it. Just 2 DGX Spark boxes on a desk, one model split in half between them, one local address, and a folder of prompts next to it. Out of everything I have seen this year, this is the cleanest way to stop paying for AI: $5,998 of hardware on the desk once, $0 a month to the cloud, unlimited forever, and between them 2 gold boxes, 1 cable, and the full Qwen3-235B answering at home with no internet.
1:16

This Chinese developer linked two $2,999 NVIDIA DGX Sparks into one box and runs the full Qwen3-235B at home, after dropping his $1,999-a-month cloud bill to zero. He wired 2 small boxes into a single computer, split a giant 235-billion-parameter model in half between them, and serves it across his own network at about 10 tokens a second, with no internet, no cloud, right there on the desk. No data center, no thousand-dollar graphics cards, no monthly cloud bill. Just him, 2 gold boxes the size of a sandwich, one cable between them, and 1 power strip. And here is the whole payoff. He used to pay the cloud $1,999 a month for the same model, and the meter ticked on every request. Now he paid $5,998 once for 2 boxes, they covered their cost in 3 months, and after that he sends as many requests as he wants for free, only electricity. The two Sparks talk over one fast cable, each holds 128GB of memory, and together they carry the whole model, about 73GB loaded per box, with the chip inside pinned near the limit at 96%. Both boxes work as one and keep trading data over the cable, with no cloud in the loop and no single word leaking out. The ready model sits on one local address, and any app on his network calls it as easily as ChatGPT. And here is how he described, in plain words, what this pair of boxes does: "this is a pair of boxes that holds the huge Qwen3-235B model and serves it to one network. the model is split in half, and each box owns its half. parts: // Box 1 (holds the first half of the model and starts the answer fast, the first word appears in under a second) // Box 2 (holds the second half and writes out the rest, about 10 tokens a second) // Cable (connects the 2 boxes and moves data between them on every step, with no lag) // Address (one local address where any app sends its request, like to a cloud model) // Test (a script that runs big prompts through and measures speed and delays) // Monitor (checks temperature, power draw, and load on both boxes every 2 seconds). the model never goes to the cloud. he only steps in when a box runs hotter than 80 degrees or the cable between them starts dropping data." So the system knows exactly what it is, what it is for, and where its limits are. It knows it has to hold the whole huge model across 2 boxes on its own. It knows it has to answer every request locally, with no meter, no limits, and no internet. It knows the human is only needed when a box overheats or the link between them stalls. → The setup runs around the clock on 2 boxes, each pulling under 60 watts → However many requests he sends, the monthly bill is $0, only electricity → The first box starts the answer in under a second → The second writes text at about 10 tokens a second → One request at a time: 838 tokens in 85 seconds, first word in 0.8s → Two requests at once: 697 tokens in 108 seconds, first word in 0.7s → Both boxes sit at 96% load and warm up to 76-78 degrees And only when a chip in a box runs hotter than 80 degrees or the cable between the 2 Sparks drops data does the system call the owner. And when he himself is out on a run or in a coffee shop, he still reaches his own model at home from his phone: sends a big prompt to the local Qwen3-235B, gets the full answer back in under a minute and a half, with no token meter ticking and no limit to hit. Here is what the test shows on his screen during one of the night runs: "one request at a time: 838 tokens in 84.9 seconds, first word in 0.8s, then 0.1s per token." "two requests at once: 697 tokens in 107.6 seconds, first word in 0.7s, then 0.15s per token." "Box 1: chip at 96% load, 76 degrees, 56 watts, 73GB used in memory." "Box 2: chip at 96% load, 78 degrees, 56 watts, the Qwen3-235B model fully loaded." And while everyone around is paying for AI by the month and bumping into limits, his top-tier model just sits on the desk and works as much as he wants: his own little power plant instead of a forever meter. He has no server rack of his own and no cloud account behind it. Just 2 DGX Spark boxes on a desk, one model split in half between them, one local address, and a folder of prompts next to it. Out of everything I have seen this year, this is the cleanest way to stop paying for AI: $5,998 of hardware on the desk once, $0 a month to the cloud, unlimited forever, and between them 2 gold boxes, 1 cable, and the full Qwen3-235B answering at home with no internet.

Blaze

93,219 görüntüleme • 1 ay önce

I make unlimited landing pages with Claude Cowork for $0 😱 here's the system that turns one URL into a landing page for every possible angle: step 1: scrape your brand DNA → Firecrawl scrapes your site. trust signals, colors, fonts, the works → I pointed it at virlo and it pulled every proof element & visual system in 90 seconds → nothing hallucinated. everything traced back to your actual site step 2: figure out WHY your product works → not the features but the reason someone should care. → maps which claims you can back up vs ones you can't step 3: lock your brand voice → pulls your exact phrases, tone, language patterns → ran it on a client last week. they thought they wrote the page. they didn't. step 4: write the copy → hard ban list kills AI slop on sight ("unlock", "seamless", "revolutionize" = dead) → then cuts 20% of whatever it wrote. if a line doesn't earn its spot, it's gone. step 5: generate on-brand visuals → Bloom creates images that ACTUALLY match your brand (s/o Ray for hooking up FREE bloom credits, ill send you a link) → no stock photo energy. no purple AI gradients. no "two businesspeople shaking hands." step 6: build the page → single-file HTML. responsive. ready to roll. → routes layout by type. product, SaaS, lead gen, regulated all look different → one product. six angles. six pages. each one ships. step 7: QA gate → scores every page on proof, trust, copy, visuals, anti-slop → shippable, draft, or blocked. nothing goes live without passing. input: your URL output: unlimited landing pages w/ copy & brand images Steal Ads automates ads. this builds landers for each. money ad → money page. agencies charge $5-10K per landing page. this builds unlimited pages for $0. I packaged the entire system as the Landing Page Factory. 7 Claude skills: - site-extract (brand DNA via Firecrawl) - page-strategy (mechanism mapping + real claims) - brand-profile (your voice + your branding) - page-copy (conversion copy w/ slop ban) - page-visuals (on-brand images w/ Bloom) - page-build (multiple variations & layouts) - page-qa (shippability gate so it doesn't suck) also works with OpenClaw🦞, hermes (Nous Research) or any agent framework. giving it away free. comment PAGES + like + follow (must follow so i can DM)
0:48

I make unlimited landing pages with Claude Cowork for $0 😱 here's the system that turns one URL into a landing page for every possible angle: step 1: scrape your brand DNA → Firecrawl scrapes your site. trust signals, colors, fonts, the works → I pointed it at virlo and it pulled every proof element & visual system in 90 seconds → nothing hallucinated. everything traced back to your actual site step 2: figure out WHY your product works → not the features but the reason someone should care. → maps which claims you can back up vs ones you can't step 3: lock your brand voice → pulls your exact phrases, tone, language patterns → ran it on a client last week. they thought they wrote the page. they didn't. step 4: write the copy → hard ban list kills AI slop on sight ("unlock", "seamless", "revolutionize" = dead) → then cuts 20% of whatever it wrote. if a line doesn't earn its spot, it's gone. step 5: generate on-brand visuals → Bloom creates images that ACTUALLY match your brand (s/o Ray for hooking up FREE bloom credits, ill send you a link) → no stock photo energy. no purple AI gradients. no "two businesspeople shaking hands." step 6: build the page → single-file HTML. responsive. ready to roll. → routes layout by type. product, SaaS, lead gen, regulated all look different → one product. six angles. six pages. each one ships. step 7: QA gate → scores every page on proof, trust, copy, visuals, anti-slop → shippable, draft, or blocked. nothing goes live without passing. input: your URL output: unlimited landing pages w/ copy & brand images Steal Ads automates ads. this builds landers for each. money ad → money page. agencies charge $5-10K per landing page. this builds unlimited pages for $0. I packaged the entire system as the Landing Page Factory. 7 Claude skills: - site-extract (brand DNA via Firecrawl) - page-strategy (mechanism mapping + real claims) - brand-profile (your voice + your branding) - page-copy (conversion copy w/ slop ban) - page-visuals (on-brand images w/ Bloom) - page-build (multiple variations & layouts) - page-qa (shippability gate so it doesn't suck) also works with OpenClaw🦞, hermes (Nous Research) or any agent framework. giving it away free. comment PAGES + like + follow (must follow so i can DM)

Matthew Berman

134,808 görüntüleme • 3 ay önce

🚨🇪🇺 INTERVIEW: HE RAN FOR EU PARLIAMENT AS A JOKE AND EXPOSED HOW BROKEN IT IS Ever wondered why the EU is so messed up, and what happens behind the sc eyes? Well today I spoke to an MEP that started as a prank YouTuber, ran for EU Parliament as a joke, and ended up becoming the most‑voted candidate in the country. He gained so much traction that Elon publicly endorsed him: “Fidias for EU president!!” Inside the EU, his take is blunt: massive bureaucracy, slow decision‑making, and politicians obsessing over irrelevant stuff while Europe falls behind in tech, energy, defense, and innovation. On Ukraine, he says the war is a proxy fight Europe is paying for, the U.S. is profiting from, and diplomacy should’ve happened long ago, and not because he’s “pro‑Russia,” but because Europe is bleeding itself dry. He breaks down why the EU depends too much on the U.S. for defense, why pushing Russia toward China was a mistake, and why Europe has power but doesn’t use it well. He also explains why the EU keeps clashing with Elon Musk: free speech, platform regulation, and why his refusal to let governments control moderation changed the game. Bottom line: Europe isn’t doomed, but it is stuck. Unless it kills bureaucracy, fixes immigration, boosts innovation, and reconnects voters to power, it’s going to keep losing ground. If you want a raw, inside look at EU politics from someone who wasn’t supposed to be there, listen to this interview with Fidias Panayiotou 1:04 - How Fídias Panayiotou got into EU politics 8:16 - EU Criticisms, Bureaucracy, and how Fidias ended up in Cyprus 10:55 - The state of the EU, the Russia-Ukraine War, and Venezuela 17:08 - EU Defense and Dependence on the U.S. 21:20 - EU Politics, Effects of Voting, and What the Bureaucracy is doing 26:22 - Political Strategy for Being in an Independent Party 30:34 - In-App Elections and Voting: Making Politics Great Again 36:10 - Why Europe is Destroying Itself from Within 38:49 - Could the EU Fail? 40:35 - The Future of the EU is more Efficient 44:11 - The Effects of EU Regulations Online 49:00 - Illegal Immigration and the EU 53:19 - Fídias on Elon Musk: Elon’s Influence on him and the EU
1:02:33

🚨🇪🇺 INTERVIEW: HE RAN FOR EU PARLIAMENT AS A JOKE AND EXPOSED HOW BROKEN IT IS Ever wondered why the EU is so messed up, and what happens behind the sc eyes? Well today I spoke to an MEP that started as a prank YouTuber, ran for EU Parliament as a joke, and ended up becoming the most‑voted candidate in the country. He gained so much traction that Elon publicly endorsed him: “Fidias for EU president!!” Inside the EU, his take is blunt: massive bureaucracy, slow decision‑making, and politicians obsessing over irrelevant stuff while Europe falls behind in tech, energy, defense, and innovation. On Ukraine, he says the war is a proxy fight Europe is paying for, the U.S. is profiting from, and diplomacy should’ve happened long ago, and not because he’s “pro‑Russia,” but because Europe is bleeding itself dry. He breaks down why the EU depends too much on the U.S. for defense, why pushing Russia toward China was a mistake, and why Europe has power but doesn’t use it well. He also explains why the EU keeps clashing with Elon Musk: free speech, platform regulation, and why his refusal to let governments control moderation changed the game. Bottom line: Europe isn’t doomed, but it is stuck. Unless it kills bureaucracy, fixes immigration, boosts innovation, and reconnects voters to power, it’s going to keep losing ground. If you want a raw, inside look at EU politics from someone who wasn’t supposed to be there, listen to this interview with Fidias Panayiotou 1:04 - How Fídias Panayiotou got into EU politics 8:16 - EU Criticisms, Bureaucracy, and how Fidias ended up in Cyprus 10:55 - The state of the EU, the Russia-Ukraine War, and Venezuela 17:08 - EU Defense and Dependence on the U.S. 21:20 - EU Politics, Effects of Voting, and What the Bureaucracy is doing 26:22 - Political Strategy for Being in an Independent Party 30:34 - In-App Elections and Voting: Making Politics Great Again 36:10 - Why Europe is Destroying Itself from Within 38:49 - Could the EU Fail? 40:35 - The Future of the EU is more Efficient 44:11 - The Effects of EU Regulations Online 49:00 - Illegal Immigration and the EU 53:19 - Fídias on Elon Musk: Elon’s Influence on him and the EU

Mario Nawfal

1,215,880 görüntüleme • 5 ay önce

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.
25:22

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.

Himanshu Kumar

13,573 görüntüleme • 3 ay önce

This video is a visual breakdown of each law of power. Law 1: Never outshine the master. Law 2: Never put too much trust in friends; learn how to use enemies. Law 3: Conceal your intentions. Law 4: Always say less than necessary. Law 5: So much depends on reputation - guard it with your life. Law 6: Court attention at all costs. Law 7: Get others to do the work for you, but always take credit. Law 8: Make other people come to you - use bait if necessary. Law 9: Win through your actions, never through argument. Law 10: Infection: avoid the unhappy and unlucky. Law 11: Learn to keep people dependent on you. Law 12: Use selective honesty and generosity to disarm your victim. Law 13: When asking for help, appeal to people's self-interest. Law 14: Pose as a friend, work as a spy. Law 15: Crush your enemy totally. Law 16: Use absence to increase respect and honor. Law 17: Keep others in suspended terror: cultivate an air of unpredictability. Law 18: Do not build fortresses to protect yourself - isolation is dangerous. Law 19: Know who you're dealing with - do not offend the wrong person. Law 20: Do not commit to anyone. Law 21: Play a sucker to catch a sucker - seem dumber than your mark. Law 22: Use the surrender tactic: transform weakness into power. Law 23: Concentrate your forces. Law 24: Play the perfect courtier. Law 25: Re-create yourself. Law 26: Keep your hands clean. Law 27: Play on people's need to believe to create a cult-like following. Law 28: Enter action with boldness. Law 29: Plan all the way to the end. Law 30: Make your accomplishments seem effortless. Law 31: Control the options: get others to play with the cards you deal. Law 32: Play to people's fantasies. Law 33: Discover each man's thumbscrew. Law 34: Be royal in your fashion: act like a king to be treated like one. Law 35: Master the art of timing. Law 36: Disdain things you cannot have: ignoring them is the best revenge. Law 37: Create compelling spectacles. Law 38: Think as you like but behave like others. Law 39: Stir up waters to catch fish. Law 40: Despise the free lunch. Law 41: Avoid stepping into a great man's shoes. Law 42: Strike the shepherd and the sheep will scatter. Law 43: Work on the hearts and minds of others. Law 44: Disarm and infuriate with the mirror effect. Law 45: Preach the need for change, but never reform too much at once. Law 46: Never appear too perfect. Law 47: Do not go past the mark you aimed for; in victory, learn when to stop. Law 48: Assume formlessness.
28:15

This video is a visual breakdown of each law of power. Law 1: Never outshine the master. Law 2: Never put too much trust in friends; learn how to use enemies. Law 3: Conceal your intentions. Law 4: Always say less than necessary. Law 5: So much depends on reputation - guard it with your life. Law 6: Court attention at all costs. Law 7: Get others to do the work for you, but always take credit. Law 8: Make other people come to you - use bait if necessary. Law 9: Win through your actions, never through argument. Law 10: Infection: avoid the unhappy and unlucky. Law 11: Learn to keep people dependent on you. Law 12: Use selective honesty and generosity to disarm your victim. Law 13: When asking for help, appeal to people's self-interest. Law 14: Pose as a friend, work as a spy. Law 15: Crush your enemy totally. Law 16: Use absence to increase respect and honor. Law 17: Keep others in suspended terror: cultivate an air of unpredictability. Law 18: Do not build fortresses to protect yourself - isolation is dangerous. Law 19: Know who you're dealing with - do not offend the wrong person. Law 20: Do not commit to anyone. Law 21: Play a sucker to catch a sucker - seem dumber than your mark. Law 22: Use the surrender tactic: transform weakness into power. Law 23: Concentrate your forces. Law 24: Play the perfect courtier. Law 25: Re-create yourself. Law 26: Keep your hands clean. Law 27: Play on people's need to believe to create a cult-like following. Law 28: Enter action with boldness. Law 29: Plan all the way to the end. Law 30: Make your accomplishments seem effortless. Law 31: Control the options: get others to play with the cards you deal. Law 32: Play to people's fantasies. Law 33: Discover each man's thumbscrew. Law 34: Be royal in your fashion: act like a king to be treated like one. Law 35: Master the art of timing. Law 36: Disdain things you cannot have: ignoring them is the best revenge. Law 37: Create compelling spectacles. Law 38: Think as you like but behave like others. Law 39: Stir up waters to catch fish. Law 40: Despise the free lunch. Law 41: Avoid stepping into a great man's shoes. Law 42: Strike the shepherd and the sheep will scatter. Law 43: Work on the hearts and minds of others. Law 44: Disarm and infuriate with the mirror effect. Law 45: Preach the need for change, but never reform too much at once. Law 46: Never appear too perfect. Law 47: Do not go past the mark you aimed for; in victory, learn when to stop. Law 48: Assume formlessness.

Robert Greene

695,676 görüntüleme • 2 yıl önce

HERMES AGENT RUNS MONITORING, RESEARCH, LEAD DETECTION, AND COMPETITIVE ANALYSIS ON AUTOPILOT. AND KNOWS WHEN NOT TO SPEND YOUR TOKENS. the biggest unlock most people skip: Hermes cron jobs can decide ON THEIR OWN whether the LLM should wake up. WAKE AGENT — THE $0 GATE every cron job can run a Python script first. the script checks: did anything actually change? nothing changed: → script outputs {"wakeAgent": false} → LLM stays asleep → zero tokens spent something changed: → script outputs {"wakeAgent": true} → agent wakes up and handles it three gate patterns from official docs: → file-change: compare file mtime to last run. no change? sleep. → external-flag: another process drops a ready file. no flag? sleep. → HTTP-check: ping a URL, diff the response. same as last time? sleep. real example: monitor AWS costs every hour. script pulls current spend from AWS API. no spike? agent sleeps. zero cost. costs jump 40%? agent wakes, reports to Slack, takes action through Stripe MCP. you run 20 monitoring jobs a day. 18 of them find nothing. you pay for 2. NO AGENT — PURE SCRIPT, ZERO LLM some jobs don't need reasoning at all. TLS checks. uptime pings. disk alerts. heartbeats. hermes cron edit --no-agent --script check_health.py script runs. stdout goes straight to Telegram, Discord, or Slack. no LLM involved. flip any job between modes: hermes cron edit --agent # add LLM hermes cron edit --no-agent # remove LLM free monitoring that lives inside the same ecosystem as your agent. 4 MORE USE CASES THIS UNLOCKS: COMPETITIVE ANALYSIS weekly cron with script that diffs competitor pages. agent only analyzes actual changes. updates your tracking file and PRD skill automatically. PRD AS A SKILL save product requirements as a skill, not a document. skills load on demand into fresh context. documents drift. skills stay sharp. CONTENT REPURPOSING hand a video script to the agent. it drafts X and LinkedIn posts in your voice. writes to a review folder. you approve via Telegram. LEAD DETECTION webhook monitors inbox. agent spots potential leads. drafts responses using your business context. schedules meetings from your calendar. the pattern across all of these: scripts handle the mechanical work for free. the agent only spends tokens on reasoning that requires judgment. comment CRON and I'll send you 5 ready-to-paste cron configs with wakeAgent and no_agent patterns. full Hermes SOUL.MD guide 👇
10:37

HERMES AGENT RUNS MONITORING, RESEARCH, LEAD DETECTION, AND COMPETITIVE ANALYSIS ON AUTOPILOT. AND KNOWS WHEN NOT TO SPEND YOUR TOKENS. the biggest unlock most people skip: Hermes cron jobs can decide ON THEIR OWN whether the LLM should wake up. WAKE AGENT — THE $0 GATE every cron job can run a Python script first. the script checks: did anything actually change? nothing changed: → script outputs {"wakeAgent": false} → LLM stays asleep → zero tokens spent something changed: → script outputs {"wakeAgent": true} → agent wakes up and handles it three gate patterns from official docs: → file-change: compare file mtime to last run. no change? sleep. → external-flag: another process drops a ready file. no flag? sleep. → HTTP-check: ping a URL, diff the response. same as last time? sleep. real example: monitor AWS costs every hour. script pulls current spend from AWS API. no spike? agent sleeps. zero cost. costs jump 40%? agent wakes, reports to Slack, takes action through Stripe MCP. you run 20 monitoring jobs a day. 18 of them find nothing. you pay for 2. NO AGENT — PURE SCRIPT, ZERO LLM some jobs don't need reasoning at all. TLS checks. uptime pings. disk alerts. heartbeats. hermes cron edit --no-agent --script check_health.py script runs. stdout goes straight to Telegram, Discord, or Slack. no LLM involved. flip any job between modes: hermes cron edit --agent # add LLM hermes cron edit --no-agent # remove LLM free monitoring that lives inside the same ecosystem as your agent. 4 MORE USE CASES THIS UNLOCKS: COMPETITIVE ANALYSIS weekly cron with script that diffs competitor pages. agent only analyzes actual changes. updates your tracking file and PRD skill automatically. PRD AS A SKILL save product requirements as a skill, not a document. skills load on demand into fresh context. documents drift. skills stay sharp. CONTENT REPURPOSING hand a video script to the agent. it drafts X and LinkedIn posts in your voice. writes to a review folder. you approve via Telegram. LEAD DETECTION webhook monitors inbox. agent spots potential leads. drafts responses using your business context. schedules meetings from your calendar. the pattern across all of these: scripts handle the mechanical work for free. the agent only spends tokens on reasoning that requires judgment. comment CRON and I'll send you 5 ready-to-paste cron configs with wakeAgent and no_agent patterns. full Hermes SOUL.MD guide 👇

YanXbt

95,587 görüntüleme • 1 ay önce

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 görüntüleme • 3 ay önce

A beanie that reads your thoughts and turns them into text — no surgery required?@jason grills the co-founders on their noninvasive brain-computer interface, backed by Vinod Khosla, and calls cap on the whole thing (until he doesn't). This episode of This Week in Startups covers a lot of ground: Jason's tactical tip of the day on making everyone the CEO of their domain, a deep dive into Sabi's thought-to-text beanie, a live demo of AI-powered podcast sidebars built by the TWiST audience, the announcement of a new $5K bounty for an annotation tool, and Jason's big five wellness framework. 0:00 Intro & tactical tip: Make everyone the CEO of their domain 1:49 Matt Coffin's "CEO of X" management philosophy 3:04 Community ownership: Deputizing Ricky, Lawn, Bianca, Maddie, Kabir 4:02 Building the Noti Gang: X group chats and community flywheels 5:08 Founder takeaways: Activate your top 1%, make someone the CEO of it 6:18 The streamer trick, parasocial dynamics, and creator ethics 7:59 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at and use code TWIST for 10% off! 9:34 Guest intro: Rahul Chhabra of Sabi 10:01 What is Sabi? Noninvasive BCI in a beanie with 100,000 sensors 10:02 LinkedIn Jobs - Hire right, the first time. Post your first job and get $100 off towards your job post at 11:02 How it works: From fMRI to EEG, from hospital to hat 13:46 The brain foundation model and thought-to-text decoding 15:55 Vetting the founders: BITS Pilani, Stanford, athlete fatigue AI 17:22 Vinod Khosla's investment thesis: BCI must be noninvasive 19:30 Jason's challenge: Say "Calacanis" or it doesn't count 19:50 Northwest Registered Agent: Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at 21:30 Reserve your device, release by end of 2026 22:26 Privacy concerns: Does the beanie read everything? 23:47 Jason's Big Five wellness framework: sleep, nutrition, exercise, meditation, socialization 25:41 Bounty #1: AI live sidebar contest — demos from the TWiST audience 26:02 What the bounty asked for: AI personas watching the show in real time 27:04 Oliver's breakdown: What's easy vs. hard about live AI commentary 28:40 Demo #1: Armchair (by Mark Colebrook) — fact-checker + troll personas, live 30:26 Render: Find out why 5 million developers are already using the all-in-one cloud platform, Render. Go to and apply for the Render Startup Program to get $500-$100,000 in free credits, depending on your stage and backers. 35:30 Live political violence test: The sidebar in real time on the WHCD shooting 38:45 Demo #2: Pod Commentators / SideCast — browser-based, Gemini-powered 40:35 Jason's revised Bounty #1 spec: Fact-checker + cynic, public stream or Zoom 42:41 Timeline: check-ins May 1, May 8; final winner May 15 44:51 Demo #3: BMD Pat (by Patrick Hughes) — instant URL, all-snarky personas 46:52 Bounty #2 announced: — a fair-use multimedia annotation tool 49:31 Annotated: the of media commentary 51:11 Contest rules: Jason owns the domain, winner gets $5K + potential ongoing work 53:13 Wrap-up: Bounty 1 = AI sidebar, Bounty 2 = Annotated 🎥 Watch the full episode here 👇
55:43

A beanie that reads your thoughts and turns them into text — no surgery required?@jason grills the co-founders on their noninvasive brain-computer interface, backed by Vinod Khosla, and calls cap on the whole thing (until he doesn't). This episode of This Week in Startups covers a lot of ground: Jason's tactical tip of the day on making everyone the CEO of their domain, a deep dive into Sabi's thought-to-text beanie, a live demo of AI-powered podcast sidebars built by the TWiST audience, the announcement of a new $5K bounty for an annotation tool, and Jason's big five wellness framework. 0:00 Intro & tactical tip: Make everyone the CEO of their domain 1:49 Matt Coffin's "CEO of X" management philosophy 3:04 Community ownership: Deputizing Ricky, Lawn, Bianca, Maddie, Kabir 4:02 Building the Noti Gang: X group chats and community flywheels 5:08 Founder takeaways: Activate your top 1%, make someone the CEO of it 6:18 The streamer trick, parasocial dynamics, and creator ethics 7:59 Plaud: If your work depends on conversations — interviews, meetings, calls — you need a Plaud NotePin. You can check it out at and use code TWIST for 10% off! 9:34 Guest intro: Rahul Chhabra of Sabi 10:01 What is Sabi? Noninvasive BCI in a beanie with 100,000 sensors 10:02 LinkedIn Jobs - Hire right, the first time. Post your first job and get $100 off towards your job post at 11:02 How it works: From fMRI to EEG, from hospital to hat 13:46 The brain foundation model and thought-to-text decoding 15:55 Vetting the founders: BITS Pilani, Stanford, athlete fatigue AI 17:22 Vinod Khosla's investment thesis: BCI must be noninvasive 19:30 Jason's challenge: Say "Calacanis" or it doesn't count 19:50 Northwest Registered Agent: Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at 21:30 Reserve your device, release by end of 2026 22:26 Privacy concerns: Does the beanie read everything? 23:47 Jason's Big Five wellness framework: sleep, nutrition, exercise, meditation, socialization 25:41 Bounty #1: AI live sidebar contest — demos from the TWiST audience 26:02 What the bounty asked for: AI personas watching the show in real time 27:04 Oliver's breakdown: What's easy vs. hard about live AI commentary 28:40 Demo #1: Armchair (by Mark Colebrook) — fact-checker + troll personas, live 30:26 Render: Find out why 5 million developers are already using the all-in-one cloud platform, Render. Go to and apply for the Render Startup Program to get $500-$100,000 in free credits, depending on your stage and backers. 35:30 Live political violence test: The sidebar in real time on the WHCD shooting 38:45 Demo #2: Pod Commentators / SideCast — browser-based, Gemini-powered 40:35 Jason's revised Bounty #1 spec: Fact-checker + cynic, public stream or Zoom 42:41 Timeline: check-ins May 1, May 8; final winner May 15 44:51 Demo #3: BMD Pat (by Patrick Hughes) — instant URL, all-snarky personas 46:52 Bounty #2 announced: — a fair-use multimedia annotation tool 49:31 Annotated: the of media commentary 51:11 Contest rules: Jason owns the domain, winner gets $5K + potential ongoing work 53:13 Wrap-up: Bounty 1 = AI sidebar, Bounty 2 = Annotated 🎥 Watch the full episode here 👇

This Week in Startups

16,332 görüntüleme • 2 ay önce