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STOP UPGRADING YOUR MAC MINI, YOU ARE DOING IT WRONG Apple has been robbing us blind on storage upgrades for a decade, forcing people to throw away perfectly good computers. But if you have an M1 or M2 Mac Mini, this one insane vertical dock completely breaks the matrix....

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Shadow Nick

12,686 subscribers

15,047 次观看 • 22 天前 •via X (Twitter)

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APPLE IS LYING TO YOU ABOUT THE MAC MINI, AND THIS SUB-$100 FIX PERMANENTLY UNLOCKS ITS TRUE POWER The Mac Mini is an absolute beast until you run out of ports in exactly 5 seconds and your system begins throttling to death under heavy video editing or gaming. Most users waste hundreds on messy dongles and external hubs, completely destroying their desk aesthetics. The ultimate power move is dropping a vertical, active-cooling dock right into your workstation ecosystem. Why this layout changes everything: The Thermal Shield: Integrated aluminum pads and a silent high-speed fan that completely eliminate system lag, heat build-up, and sudden freezing under load. Extreme Expansion: Instantly unlocks triple-monitor support via multiple HDMI ports, high-speed USB arrays, and a hidden SSD slot. Modular Integration: Bridges directly into the Mac's native ports using a flush, custom jump connector, keeping your desktop entirely cord-free. Stop letting Apple gatekeep your machine's peak performance.
3:22

APPLE IS LYING TO YOU ABOUT THE MAC MINI, AND THIS SUB-$100 FIX PERMANENTLY UNLOCKS ITS TRUE POWER The Mac Mini is an absolute beast until you run out of ports in exactly 5 seconds and your system begins throttling to death under heavy video editing or gaming. Most users waste hundreds on messy dongles and external hubs, completely destroying their desk aesthetics. The ultimate power move is dropping a vertical, active-cooling dock right into your workstation ecosystem. Why this layout changes everything: The Thermal Shield: Integrated aluminum pads and a silent high-speed fan that completely eliminate system lag, heat build-up, and sudden freezing under load. Extreme Expansion: Instantly unlocks triple-monitor support via multiple HDMI ports, high-speed USB arrays, and a hidden SSD slot. Modular Integration: Bridges directly into the Mac's native ports using a flush, custom jump connector, keeping your desktop entirely cord-free. Stop letting Apple gatekeep your machine's peak performance.

Ridark

86,299 次观看 • 28 天前

THE $599 MAC MINI GETS A $49 DOCK AND TURNS FROM A DESK COMPUTER INTO A TINY 24/7 AI WORKFLOW SERVER 00:19 he clips the dock onto the back of the mac mini, adds extra ports, ethernet, storage and turns one small silver box into a workflow hub that can stay online for 700+ hours a month a base mac mini can sit online all day, pulling light power while scripts watch folders, move files, process notes and keep boring workflows running in the background paired with claude, it becomes a small home automation box: 2-hour lectures get transcribed, 30-page articles get summarized, reports get drafted, and research gets cleaned before you even open the laptop the difference is the loop. trigger, process, verify, save, repeat. the same workflow that costs $40-100/month across cloud tools can run locally from one machine on your desk that is why this tiny upgrade matters. the dock is cheap, but it gives the mac mini enough expansion to act like a quiet server instead of another computer waiting for you to use it bookmark this before your desk setup realizes it became infrastructure.
0:29

THE $599 MAC MINI GETS A $49 DOCK AND TURNS FROM A DESK COMPUTER INTO A TINY 24/7 AI WORKFLOW SERVER 00:19 he clips the dock onto the back of the mac mini, adds extra ports, ethernet, storage and turns one small silver box into a workflow hub that can stay online for 700+ hours a month a base mac mini can sit online all day, pulling light power while scripts watch folders, move files, process notes and keep boring workflows running in the background paired with claude, it becomes a small home automation box: 2-hour lectures get transcribed, 30-page articles get summarized, reports get drafted, and research gets cleaned before you even open the laptop the difference is the loop. trigger, process, verify, save, repeat. the same workflow that costs $40-100/month across cloud tools can run locally from one machine on your desk that is why this tiny upgrade matters. the dock is cheap, but it gives the mac mini enough expansion to act like a quiet server instead of another computer waiting for you to use it bookmark this before your desk setup realizes it became infrastructure.

Gipp 🦅

73,558 次观看 • 1 个月前

THIS GUY VIBE CODED A MAC APP THAT AUTOMATICALLY SETS FOLDER ICONS BASED ON THEIR NAMES every folder on your mac looks the same (all blue folders) you have to read every name to find what you're looking for this app reads the folder name and automatically assigns a matching icon your "Photos" folder gets a camera icon. your "Music" folder gets a music icon. your "Projects" folder gets a code icon, all automatic it uses an LLM to understand the folder name and match it to the right icon so it works even with creative or unusual folder names the small details that make your workspace feel organized are the ones nobody builds because they seem too simple to charge for but anyone who has stared at 30 identical blue folders trying to find the right one knows THIS is a real problem mac used to have custom folder icons built in on older versions of macOS. apple removed it. this guy brought it back
0:37

THIS GUY VIBE CODED A MAC APP THAT AUTOMATICALLY SETS FOLDER ICONS BASED ON THEIR NAMES every folder on your mac looks the same (all blue folders) you have to read every name to find what you're looking for this app reads the folder name and automatically assigns a matching icon your "Photos" folder gets a camera icon. your "Music" folder gets a music icon. your "Projects" folder gets a code icon, all automatic it uses an LLM to understand the folder name and match it to the right icon so it works even with creative or unusual folder names the small details that make your workspace feel organized are the ones nobody builds because they seem too simple to charge for but anyone who has stared at 30 identical blue folders trying to find the right one knows THIS is a real problem mac used to have custom folder icons built in on older versions of macOS. apple removed it. this guy brought it back

Om Patel

79,744 次观看 • 2 个月前

A GIRL BOUGHT A $599 APPLE BOX AND CUT HER AI COSTS FROM $459/MONTH TO $23/MONTH. THE MAC MINI M4 IS QUIETLY BECOMING THE CHEAPEST AI SETUP IN 2026 she didn’t buy it because it looked nice on her desk. she bought it because paying for claude, chatgpt, cursor and api usage every month was getting ridiculous the setup is simple. mac mini m4, ollama, open webui, and local models like qwen, deepseek and llama. for most daily work, that’s enough to write, code, summarize, search notes, and run private workflows without sending everything to the cloud that’s why the math looks so good. a heavy ai stack can hit $459 a month, or $5,508 a year. the mac mini starts at $599 and uses around $3 a month in electricity. if it handles even 70 to 80% of the workload, it pays for itself fast install ollama, point your tools to localhost, and the workflow changes immediately. no token stress, no rate limits, no wondering where your files are going you still keep one cloud model for the hardest tasks but once a small box on your desk does most of the work, paying full price for everything starts to feel stupid
0:23

A GIRL BOUGHT A $599 APPLE BOX AND CUT HER AI COSTS FROM $459/MONTH TO $23/MONTH. THE MAC MINI M4 IS QUIETLY BECOMING THE CHEAPEST AI SETUP IN 2026 she didn’t buy it because it looked nice on her desk. she bought it because paying for claude, chatgpt, cursor and api usage every month was getting ridiculous the setup is simple. mac mini m4, ollama, open webui, and local models like qwen, deepseek and llama. for most daily work, that’s enough to write, code, summarize, search notes, and run private workflows without sending everything to the cloud that’s why the math looks so good. a heavy ai stack can hit $459 a month, or $5,508 a year. the mac mini starts at $599 and uses around $3 a month in electricity. if it handles even 70 to 80% of the workload, it pays for itself fast install ollama, point your tools to localhost, and the workflow changes immediately. no token stress, no rate limits, no wondering where your files are going you still keep one cloud model for the hardest tasks but once a small box on your desk does most of the work, paying full price for everything starts to feel stupid

Gipp 🦅

457,654 次观看 • 2 个月前

100 MAC MINIS ON ONE METAL SHELF. IN THE CLOUD, EACH OF THOSE RENTS FOR $120 TO $500 A MONTH. that clip is a homemade rack: wire shelving packed with mac minis, each running macos, wired into one cluster. why macs and not a normal server? two reasons. you can only build, sign, and notarize ios and mac apps on apple hardware. cloud providers know it and charge for it. and apple silicon sips power and runs near-silent, so you can stack a lot of them on a shelf in a room, not a datacenter. the rent they're escaping: a single mac in the cloud runs ~$120 to $500 a month (macstadium up to aws) one engineer documented saving $4,000+ a month by self-hosting mac minis instead of cloud ci runners a used or new mini is a few hundred dollars once, then a few dollars of electricity what a shelf like this actually runs: ios and mac build farms, render jobs, app and device testing automation, and increasingly local ai inference. own the boxes, rent nothing. the uncomfortable part: the cloud was never the only option. it was the convenient one. the people who did the math bought the shelf. the honest caveat: it's real capex up front, real heat and power, and you become the sysadmin. no rented rack means no one to call at 3am. worth it at scale, overkill for one build a week. no rack rental, no per-hour metering, no fleet you don't own. save this before your cloud invoice renews again.
0:25

100 MAC MINIS ON ONE METAL SHELF. IN THE CLOUD, EACH OF THOSE RENTS FOR $120 TO $500 A MONTH. that clip is a homemade rack: wire shelving packed with mac minis, each running macos, wired into one cluster. why macs and not a normal server? two reasons. you can only build, sign, and notarize ios and mac apps on apple hardware. cloud providers know it and charge for it. and apple silicon sips power and runs near-silent, so you can stack a lot of them on a shelf in a room, not a datacenter. the rent they're escaping: a single mac in the cloud runs ~$120 to $500 a month (macstadium up to aws) one engineer documented saving $4,000+ a month by self-hosting mac minis instead of cloud ci runners a used or new mini is a few hundred dollars once, then a few dollars of electricity what a shelf like this actually runs: ios and mac build farms, render jobs, app and device testing automation, and increasingly local ai inference. own the boxes, rent nothing. the uncomfortable part: the cloud was never the only option. it was the convenient one. the people who did the math bought the shelf. the honest caveat: it's real capex up front, real heat and power, and you become the sysadmin. no rented rack means no one to call at 3am. worth it at scale, overkill for one build a week. no rack rental, no per-hour metering, no fleet you don't own. save this before your cloud invoice renews again.

RetroChainer

21,055 次观看 • 15 天前

A 24 BAY DELL POWEREDGE T550 TOWER SERVER FITS IN A HOME OFFICE WITHOUT A RACK, 384TB OF RAW SAS STORAGE HOSTS EVERY OPEN SOURCE LLM EVER RELEASED LOCALLY, THE HOME AI LIBRARY TIER UNDER YOUR MAP 00:25 the reseller spins the chassis around, "it's a 24 bay Dell T550 tower server man, look it's got a boss card for dual NVMe boot SSDs" a refurbished T550 ships at $900-1,100 with single Xeon Silver, 64GB DDR4 ECC and 24 hot swap SAS bays in a tower form factor that fits next to a desk without a server rack 24x 16TB SAS drives at $80 each on eBay equals 384TB raw storage for $1,920, the same array on enterprise Mac Studio Pro tier would cost $35,000 in thunderbolt JBOD enclosures Llama 3.3 70B is 42GB, Qwen3-235B is 110GB, DeepSeek-V3 is 100GB, Mistral Large is 80GB, the entire ollama public model library fits inside 4TB, you can mirror every open weights release for the next decade your map covers compute boxes that swap one model at a time, the T550 is the model warehouse tier that feeds them, a homelab operator wires the tower over 10GbE to a mac mini and the mac never waits 30 seconds to pull a swap the window is open, follow and bookmark before it closes
0:53

A 24 BAY DELL POWEREDGE T550 TOWER SERVER FITS IN A HOME OFFICE WITHOUT A RACK, 384TB OF RAW SAS STORAGE HOSTS EVERY OPEN SOURCE LLM EVER RELEASED LOCALLY, THE HOME AI LIBRARY TIER UNDER YOUR MAP 00:25 the reseller spins the chassis around, "it's a 24 bay Dell T550 tower server man, look it's got a boss card for dual NVMe boot SSDs" a refurbished T550 ships at $900-1,100 with single Xeon Silver, 64GB DDR4 ECC and 24 hot swap SAS bays in a tower form factor that fits next to a desk without a server rack 24x 16TB SAS drives at $80 each on eBay equals 384TB raw storage for $1,920, the same array on enterprise Mac Studio Pro tier would cost $35,000 in thunderbolt JBOD enclosures Llama 3.3 70B is 42GB, Qwen3-235B is 110GB, DeepSeek-V3 is 100GB, Mistral Large is 80GB, the entire ollama public model library fits inside 4TB, you can mirror every open weights release for the next decade your map covers compute boxes that swap one model at a time, the T550 is the model warehouse tier that feeds them, a homelab operator wires the tower over 10GbE to a mac mini and the mac never waits 30 seconds to pull a swap the window is open, follow and bookmark before it closes

Antid

18,445 次观看 • 1 个月前

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints
16:04

Don't Buy a Mac Mini for Clawdbot: The Secret $10,000 Architecture That Costs You Nothing clawdbot might be the reason you feel like you need a ten thousand dollar computer right now but i am about to show you why that fomo is going to leave you broke. if you have been watching everyone rush out to buy mac minis and mac studios just to run open claw or some local models you are witnessing a massive transfer of wealth from your pocket to apple for no reason. there is a specific setup i use that costs almost nothing and keeps my main machine safe from whatever these autonomous agents are doing. if you stick with me i will walk you through the exact architecture of a professional trading system that handles the heavy lifting without you needing to drop a single rack on hardware most people are scared of running these bots on their main computer because they don't want an agent messing with their personal files or browser sessions. instead of buying a second mac mini for six hundred dollars you can just go to the top left of your screen and create a brand new user profile. this acts like a completely isolated sandbox where you can install all your trading tools and agents without them ever seeing your main data. it is essentially like getting a free computer for the price of five minutes of clicking around your settings but what if you aren't on a mac or you need to access your system while you are traveling without carrying three laptops in your backpack. this is where the first loop of professional automation starts to close because i use something called chrome remote desktop to bridge the gap. this allows me to leave a dedicated machine running in a safe place while i access the full desktop environment from a tablet or a cheap laptop anywhere in the world. it solves the mobility issue but it still doesn't solve the problem of those massive ten thousand dollar price tags for high end mac pros if you are a pc user or just someone who doesn't want to own physical hardware yet you should look into a windows vps through a provider like contabo. most developers will tell you to use a linux terminal but if you aren't a coder yet you need a visual interface you can actually see. getting a windows server allows you to log in and see a desktop just like your home computer for about fifteen dollars a month. i usually recommend at least twelve gigabytes of ram to keep things from getting janky when you are running multiple browser windows and agents at once now you might be thinking that the whole point of the big hardware was to run local models like kimi or glm to save on api costs. i spent years thinking i had to own the machines myself and i even spent hundreds of thousands on developers before i realized i could just do this myself. the secret to running those massive open source models without the ten thousand dollar investment is renting gpu power by the hour. sites like lambda labs let you spin up a monster machine that can run any model in existence for just a couple dollars an hour this is the ultimate pivot because it allows you to test if your strategy actually prints money before you commit to the hardware. you can turn the server on when you are iterating and turn it off the second you are done which keeps your overhead near zero. if you haven't proven that your bot can pay for itself yet then buying a mac studio is just an expensive hobby rather than a business move. there is a much bigger loophole involving the anthropic subscriptions that most people are completely overlooking right now right now i am using a specific plan with claude code that costs about two hundred dollars a month but it lets me run open claw all day without hitting api limits. if i were paying for those same tokens through the standard api i would probably be spending hundreds of dollars every single day. it is a massive cost savings that allows you to iterate and fail until you find a winning strategy without draining your bank account. even if they eventually close this loophole or snitch on the usage patterns it serves as the perfect training ground for a data dog the goal is to find a system that works with a smaller or cheaper model like haiku before you ever try to scale up to the heavy weights. if you can make a strategy profitable using a less intelligent and cheaper model then you know you have found real alpha. once you have that foundation you can decide if it finally makes sense to build your own custom pc rig which will always be half the price of an apple machine. i am an apple guy so i usually pay the tax anyway but i only do it once the system is already generating enough to cover the cost ten times over i believe that code is the great equalizer because it took me from losing money and getting liquidated to having fully automated systems doing the work for me. i had to learn to live with the iterations and the failures on youtube to get to this point of clarity. the universe tends to get out of your way once you make a non negotiable contract with yourself to see the process through to the end. you don't need the flashy hardware or the most expensive setup to start winning in this game stay focused on the logic and the data rather than the hype and the fomo that everyone else is falling for. if you can master the bridge between renting power and owning your logic you will be ahead of ninety nine percent of the people in this space. the path to a fully automated life isn't paved with expensive gadgets but with the discipline to iterate until the system finally prints

Moon Dev

17,382 次观看 • 5 个月前

TWO BOXES THE SIZE OF A MAC MINI JUST RAN A 235 BILLION PARAMETER MODEL ON A DESK It is two NVIDIA DGX Spark units linked by a single cable. A year ago a model this size meant renting a GPU cluster by the hour. Now it sits next to your monitor for around $8,000. Here is the twist most people miss. Linking them does not create one shared 256GB memory pool. The model is split across both boxes, and that is the only reason a 235B model fits at all. It answers at roughly 10 tokens per second, and both chips sit at just 74 degrees while sipping around 50 watts. Every token stays on the desk. Nothing touches a cloud, and nothing leaves the room. The ceiling for what you can run at home just jumped from 70B to 235B. Bookmark this & Watch it run ↓
1:21

TWO BOXES THE SIZE OF A MAC MINI JUST RAN A 235 BILLION PARAMETER MODEL ON A DESK It is two NVIDIA DGX Spark units linked by a single cable. A year ago a model this size meant renting a GPU cluster by the hour. Now it sits next to your monitor for around $8,000. Here is the twist most people miss. Linking them does not create one shared 256GB memory pool. The model is split across both boxes, and that is the only reason a 235B model fits at all. It answers at roughly 10 tokens per second, and both chips sit at just 74 degrees while sipping around 50 watts. Every token stays on the desk. Nothing touches a cloud, and nothing leaves the room. The ceiling for what you can run at home just jumped from 70B to 235B. Bookmark this & Watch it run ↓

slash1s

101,240 次观看 • 1 个月前

One guy keeps a farm of Mac minis on his desk and says each $600 box brings him $2,000 a month while he sleeps. AND THE HARDWARE ACTUALLY WORKS. But the number is not even the interesting part. The broken part is HOW: his AI no longer sits in a chat window. It sees the screen, moves the mouse itself, types and clicks the interface like a human at a computer. That is it. While most people still run AI in a chat and ask it for text, he sat Claude down right at the computer and put it to work with its hands. He automated not a single task but the workplace itself. How it actually works: on every Mac mini Claude runs with computer use turned on and the official Claude API docs spell it out: screenshot capture, mouse control, keyboard input, desktop automation. The agent opens the browser and the apps itself and runs the boring routine on a schedule: pulls leads, fills the CRM, checks orders, runs QA on the site. One box, one quiet worker that does not sleep and does not ask for a salary. His math is simple: a Mac mini is $600 once, Claude Max is $200 a month, and a live white-collar worker on the same routine costs a business $4,000 and up. So he rents out each node to a client as an AI worker for about $2,000 and 6 Mac minis come out to around $12,000 a month with costs a bit over $1,000 on subscriptions. But the $12,000 is his projection not a revenue dashboard: the video has no client, no task log, no working automation at all. The real asset here is not the stack of hardware but the one repeatable process the agent actually closes. Because a Mac mini on its own earns nothing. The money shows up exactly where the boring browser routine used to be done by hand for a salary and now you can hand it to an agent for the price of a subscription. Computer use is still in beta, almost nobody builds a service on it and the demand for cheap GUI routine is huge. The window is open for literally the next few months. Most people will watch this, laugh at the "$600 AI worker" and close it. And the ones who actually put an agent on one boring task and grind it into a repeat will ride this wave while it is still empty. Would you sit an AI right at your own computer on the boring routine or are you still clicking through it by hand?
1:05

One guy keeps a farm of Mac minis on his desk and says each $600 box brings him $2,000 a month while he sleeps. AND THE HARDWARE ACTUALLY WORKS. But the number is not even the interesting part. The broken part is HOW: his AI no longer sits in a chat window. It sees the screen, moves the mouse itself, types and clicks the interface like a human at a computer. That is it. While most people still run AI in a chat and ask it for text, he sat Claude down right at the computer and put it to work with its hands. He automated not a single task but the workplace itself. How it actually works: on every Mac mini Claude runs with computer use turned on and the official Claude API docs spell it out: screenshot capture, mouse control, keyboard input, desktop automation. The agent opens the browser and the apps itself and runs the boring routine on a schedule: pulls leads, fills the CRM, checks orders, runs QA on the site. One box, one quiet worker that does not sleep and does not ask for a salary. His math is simple: a Mac mini is $600 once, Claude Max is $200 a month, and a live white-collar worker on the same routine costs a business $4,000 and up. So he rents out each node to a client as an AI worker for about $2,000 and 6 Mac minis come out to around $12,000 a month with costs a bit over $1,000 on subscriptions. But the $12,000 is his projection not a revenue dashboard: the video has no client, no task log, no working automation at all. The real asset here is not the stack of hardware but the one repeatable process the agent actually closes. Because a Mac mini on its own earns nothing. The money shows up exactly where the boring browser routine used to be done by hand for a salary and now you can hand it to an agent for the price of a subscription. Computer use is still in beta, almost nobody builds a service on it and the demand for cheap GUI routine is huge. The window is open for literally the next few months. Most people will watch this, laugh at the "$600 AI worker" and close it. And the ones who actually put an agent on one boring task and grind it into a repeat will ride this wave while it is still empty. Would you sit an AI right at your own computer on the boring routine or are you still clicking through it by hand?

Sorven

11,948 次观看 • 1 个月前

THIS GUY SPENT $829 TO TURN A MAC MINI INTO A BATTERY-POWERED AI WORKER THAT CAN RUN FOR 12 HOURS ALMOST ANYWHERE 02:10 he plugs the $599 mac mini into a portable battery and pure sine wave inverter. the power kit adds roughly $230 to the build, weighs about 2 kilograms and keeps the computer running for around 10 to 12 hours depending on the workload. suddenly, the mac is no longer tied to a desk. it can process documents, download files, run scheduled scripts and organize research from a backpack, a car or any place where a normal computer would need an outlet. claude handles the reasoning, obsidian becomes the permanent memory and local whisper converts hours of audio into text without charging by the minute. python connects the stack and starts each task automatically, even when nobody is watching the screen. one 2-hour lecture can become 5 key ideas, 3 timestamped quotes and 5 review questions. 120 unread links can become connected notes, while a 45-minute meeting is turned into a clean summary before the laptop is opened. the full $829 setup can replace a $25 storage plan, $39 automation tool, $20 transcription service and a $30 vps. instead of paying up to $114 every month, the machine runs locally with only a few dollars in claude api usage. bookmark this before ai computers stop needing desks.
2:41

THIS GUY SPENT $829 TO TURN A MAC MINI INTO A BATTERY-POWERED AI WORKER THAT CAN RUN FOR 12 HOURS ALMOST ANYWHERE 02:10 he plugs the $599 mac mini into a portable battery and pure sine wave inverter. the power kit adds roughly $230 to the build, weighs about 2 kilograms and keeps the computer running for around 10 to 12 hours depending on the workload. suddenly, the mac is no longer tied to a desk. it can process documents, download files, run scheduled scripts and organize research from a backpack, a car or any place where a normal computer would need an outlet. claude handles the reasoning, obsidian becomes the permanent memory and local whisper converts hours of audio into text without charging by the minute. python connects the stack and starts each task automatically, even when nobody is watching the screen. one 2-hour lecture can become 5 key ideas, 3 timestamped quotes and 5 review questions. 120 unread links can become connected notes, while a 45-minute meeting is turned into a clean summary before the laptop is opened. the full $829 setup can replace a $25 storage plan, $39 automation tool, $20 transcription service and a $30 vps. instead of paying up to $114 every month, the machine runs locally with only a few dollars in claude api usage. bookmark this before ai computers stop needing desks.

Gipp 🦅

14,055 次观看 • 1 个月前

OpenClaw is the best AI agent I've ever used. I run it every single day. But if you asked me to run it on my laptop full-time, I'd say you're making a mistake. OpenClaw is brilliant for accessing your files, reading your apps, and running local AI tasks. But running it on your own machine creates real problems nobody talks about: • Who's keeping it secure when it's exposed to the internet? • What happens when your laptop sleeps or shuts down? • Where are the access controls? • Who's blocking bad bots from hitting your instance? • What if you don't want to spend $800 on a Mac Mini just to run it? That's the main issue with local AI agents: your laptop was never meant to be a server. As far as I know, DigitalOcean is the only platform making OpenClaw cloud deployment this simple. And the security setup is actually impressive: • secret token authentication • bad bot blocking • limited user permissions • Docker containerization All of this configured automatically when you spin up a Droplet. I really don't see any other way forward for people who want OpenClaw running 24/7 without the hardware headaches. By the way, DigitalOcean runs everything in full isolation. Only you can message your OpenClaw instance. Setup takes about 5 minutes. No Mac Mini required. Here's the link to get started: DigitalOcean collaborated with me on this post.
6:32

OpenClaw is the best AI agent I've ever used. I run it every single day. But if you asked me to run it on my laptop full-time, I'd say you're making a mistake. OpenClaw is brilliant for accessing your files, reading your apps, and running local AI tasks. But running it on your own machine creates real problems nobody talks about: • Who's keeping it secure when it's exposed to the internet? • What happens when your laptop sleeps or shuts down? • Where are the access controls? • Who's blocking bad bots from hitting your instance? • What if you don't want to spend $800 on a Mac Mini just to run it? That's the main issue with local AI agents: your laptop was never meant to be a server. As far as I know, DigitalOcean is the only platform making OpenClaw cloud deployment this simple. And the security setup is actually impressive: • secret token authentication • bad bot blocking • limited user permissions • Docker containerization All of this configured automatically when you spin up a Droplet. I really don't see any other way forward for people who want OpenClaw running 24/7 without the hardware headaches. By the way, DigitalOcean runs everything in full isolation. Only you can message your OpenClaw instance. Setup takes about 5 minutes. No Mac Mini required. Here's the link to get started: DigitalOcean collaborated with me on this post.

Hasan Toor

213,678 次观看 • 3 个月前

🚨PERPLEXITY JUST LAUNCHED SOMETHING THAT MAKES EVERY OTHER AI PRODUCT LOOK LIKE A TOY.. AND NOBODY IS TALKING ABOUT IT.. They built a Personal Computer.. Not an app.. Not a chatbot.. A full digital worker that runs 24/7 on a Mac mini even while you sleep.. You press both command keys.. And it wakes up.. Ready to work.. But here's where it gets insane.. This thing doesn't run on one AI model.. It runs on 19 of them.. At the same time.. It uses Claude Opus for complex reasoning.. Gemini 3.1 Pro for deep research with a 2 million token context window.. Nano Banana Pro for 4K images.. Grok for fast tasks.. It doesn't just pick one model and hope for the best.. It reads your task.. Breaks it into subtasks.. And routes each one to whichever model is best at that specific thing.. All running in parallel.. While ChatGPT is still thinking about your first question.. Perplexity has already split your project into 6 pieces and assigned each one to a different AI.. And here's the part that should worry OpenAI.. Perplexity hallucinates at 3.3%.. ChatGPT hallucinates at 12%.. Claude at 15%.. It's not even close.. Because Perplexity is built differently.. Every other AI tries to remember facts.. Perplexity searches for them first.. It's structurally forced to cite live sources before it's even allowed to generate a response.. OpenAI Operator launched with a 32.6% success rate on computer-use tasks.. People called it "the world's most anxious intern" because it pauses every 5 seconds to ask if it's doing the right thing.. Perplexity runs multi-hour and multi-day workflows independently.. Only interrupts you when it hits a decision that actually matters.. You can start a task from your iPhone on the train.. And it executes on your Mac mini at home.. The economics are wild too.. Internal studies show it saved teams an average of $1.6 million in labor costs.. Performing 3.25 years of work in four weeks.. And unlike every other AI company.. Perplexity dropped ads entirely.. They charge $200 a month because they said they're in the "accuracy business".. Not the advertising business.. They even launched a $42.5 million publisher program to pay media partners when their content gets cited.. While OpenAI is getting sued by every newspaper on earth.. Google and OpenAI want you locked into their ecosystem.. If a better model comes out tomorrow you're stuck.. Perplexity just updates its routing matrix.. You get the best model on earth automatically.. No switching.. No migrations.. No friction.. This isn't an AI assistant anymore.. This is the first real AI employee.. And it costs $200 a month.
1:39

🚨PERPLEXITY JUST LAUNCHED SOMETHING THAT MAKES EVERY OTHER AI PRODUCT LOOK LIKE A TOY.. AND NOBODY IS TALKING ABOUT IT.. They built a Personal Computer.. Not an app.. Not a chatbot.. A full digital worker that runs 24/7 on a Mac mini even while you sleep.. You press both command keys.. And it wakes up.. Ready to work.. But here's where it gets insane.. This thing doesn't run on one AI model.. It runs on 19 of them.. At the same time.. It uses Claude Opus for complex reasoning.. Gemini 3.1 Pro for deep research with a 2 million token context window.. Nano Banana Pro for 4K images.. Grok for fast tasks.. It doesn't just pick one model and hope for the best.. It reads your task.. Breaks it into subtasks.. And routes each one to whichever model is best at that specific thing.. All running in parallel.. While ChatGPT is still thinking about your first question.. Perplexity has already split your project into 6 pieces and assigned each one to a different AI.. And here's the part that should worry OpenAI.. Perplexity hallucinates at 3.3%.. ChatGPT hallucinates at 12%.. Claude at 15%.. It's not even close.. Because Perplexity is built differently.. Every other AI tries to remember facts.. Perplexity searches for them first.. It's structurally forced to cite live sources before it's even allowed to generate a response.. OpenAI Operator launched with a 32.6% success rate on computer-use tasks.. People called it "the world's most anxious intern" because it pauses every 5 seconds to ask if it's doing the right thing.. Perplexity runs multi-hour and multi-day workflows independently.. Only interrupts you when it hits a decision that actually matters.. You can start a task from your iPhone on the train.. And it executes on your Mac mini at home.. The economics are wild too.. Internal studies show it saved teams an average of $1.6 million in labor costs.. Performing 3.25 years of work in four weeks.. And unlike every other AI company.. Perplexity dropped ads entirely.. They charge $200 a month because they said they're in the "accuracy business".. Not the advertising business.. They even launched a $42.5 million publisher program to pay media partners when their content gets cited.. While OpenAI is getting sued by every newspaper on earth.. Google and OpenAI want you locked into their ecosystem.. If a better model comes out tomorrow you're stuck.. Perplexity just updates its routing matrix.. You get the best model on earth automatically.. No switching.. No migrations.. No friction.. This isn't an AI assistant anymore.. This is the first real AI employee.. And it costs $200 a month.

Evan Luthra

1,097,305 次观看 • 3 个月前

EVERYONE BUYING A $2,000 MAC MINI M4 PRO FOR LOCAL AI MISSED THAT A SERVER RESELLER IS UNLOADING DEAD HP PROLIANT DL380 GEN 10 BOXES WITH 5 YEAR WARRANTY, A $250 USED TESLA P40 BOLTED IN RUNS LLAMA 3.3 70B AT HOME 00:19 he stands behind a pallet, "these 10 HP Proliant DL380 Gen 10 servers, they're a few generations older, you guys will be surprised who these servers are going to" a DL380 Gen 10 with dual Xeon Gold 6248 and 256GB of DDR4 ECC sells refurbished for $380-500 in 2026, the same chassis cost $14,000 new in 2018 and got written off the books by every fortune 500 by 2024 drop a $250 used Tesla P40 with 24GB VRAM into one PCIe slot, total bill $650, llama 3.3 70B quantized to 4 bit runs at 9 tokens per second locally, the article calls $2,000 mac mini m4 pro the sweet spot, this stack hits it for a third the seller in the video gives a 5 year warranty on hardware that hyperscalers threw away, the same companies the article warns will jack subscription prices are selling you the rack they used to charge $200 a month to access a 2018 enterprise chassis pulls 280 watts at idle and screams at 65 decibels, the mac mini pulls 10 watts and runs silent, the tradeoff is real but $1,350 cheaper buys a lot of electricity and earplugs over 4 years bookmark this and read the article below
1:23

EVERYONE BUYING A $2,000 MAC MINI M4 PRO FOR LOCAL AI MISSED THAT A SERVER RESELLER IS UNLOADING DEAD HP PROLIANT DL380 GEN 10 BOXES WITH 5 YEAR WARRANTY, A $250 USED TESLA P40 BOLTED IN RUNS LLAMA 3.3 70B AT HOME 00:19 he stands behind a pallet, "these 10 HP Proliant DL380 Gen 10 servers, they're a few generations older, you guys will be surprised who these servers are going to" a DL380 Gen 10 with dual Xeon Gold 6248 and 256GB of DDR4 ECC sells refurbished for $380-500 in 2026, the same chassis cost $14,000 new in 2018 and got written off the books by every fortune 500 by 2024 drop a $250 used Tesla P40 with 24GB VRAM into one PCIe slot, total bill $650, llama 3.3 70B quantized to 4 bit runs at 9 tokens per second locally, the article calls $2,000 mac mini m4 pro the sweet spot, this stack hits it for a third the seller in the video gives a 5 year warranty on hardware that hyperscalers threw away, the same companies the article warns will jack subscription prices are selling you the rack they used to charge $200 a month to access a 2018 enterprise chassis pulls 280 watts at idle and screams at 65 decibels, the mac mini pulls 10 watts and runs silent, the tradeoff is real but $1,350 cheaper buys a lot of electricity and earplugs over 4 years bookmark this and read the article below

starmex

107,995 次观看 • 1 个月前

Guys. Please. I’d like to ask you to stop what you’re doing for a second and watch this 4 minute video from Erin Molan and Sky News Australia I am not afraid to admit I shed many a tear at this message. I have a small feature at the start, but just to have an inclusion with someone who has a message like this is an absolute honour. Erin. I send the most powerful thanks from the bottom of my heart. You are every bit as courageous and admirable as your father. Your daughter will grow up knowing she had a parent who fought for what is right. Now. I have many followers on here that I hold just as admirable. Your support on here for Israel and the Jewish community during our darkest days, will never be forgotten. I will always have your back. People like you are the ones that really matter, your voices matter. Erin, I send the biggest wishes of safety for you and your daughter. Thank you for standing up and laying it on the line. Truly, I am stunned at the bravery. It shouldn’t have to be brave, but this is the world we live in. People’s minds have been poisoned by the most evil forces out there. It’s the ones that stand up and call it out that will forever be remembered. Thank you Sky News Australia and Erin Molan for reminding us there are people who would have stood up to the Nazis in the 1930s Truly. Thank you.
4:39

Guys. Please. I’d like to ask you to stop what you’re doing for a second and watch this 4 minute video from Erin Molan and Sky News Australia I am not afraid to admit I shed many a tear at this message. I have a small feature at the start, but just to have an inclusion with someone who has a message like this is an absolute honour. Erin. I send the most powerful thanks from the bottom of my heart. You are every bit as courageous and admirable as your father. Your daughter will grow up knowing she had a parent who fought for what is right. Now. I have many followers on here that I hold just as admirable. Your support on here for Israel and the Jewish community during our darkest days, will never be forgotten. I will always have your back. People like you are the ones that really matter, your voices matter. Erin, I send the biggest wishes of safety for you and your daughter. Thank you for standing up and laying it on the line. Truly, I am stunned at the bravery. It shouldn’t have to be brave, but this is the world we live in. People’s minds have been poisoned by the most evil forces out there. It’s the ones that stand up and call it out that will forever be remembered. Thank you Sky News Australia and Erin Molan for reminding us there are people who would have stood up to the Nazis in the 1930s Truly. Thank you.

Kosher

396,233 次观看 • 1 年前

Played like 4 hours of ghost of yotei today. The game is aggresively mid. Story is alright, nothing outstanding so far. Average revenge plot. The combat wants to be a duel, where you are able to strike, block and parry, and can learn even more things thoughtout the game. You get dual katana's very early on, with an option to swap between one blade and two blades. BUT, the game FORCES you which weapon to use against which enemy weapon. (solo blade against katana wielders, dual blades against spear wielders) The game has WAY too many gimmicks and mini games, that seemingly are only there to show you what your PS5 controller can do and to artifically inflate the time you spend in the game. Instead of feeling immersed, it's unneccessary and a literal waste of time. For example, when camping in the open world, you have to start up your own fire by swiping up many times and hitting R2 over and over again. You have to cook your food by using the gyoroscope of the controller and physically moving it down. Sure, cute gimmick, but no actual purpose was served, and havng to do this every single time, is just a waste of time. 80 bucks for this is a waste, do not spend your money on this, don't even buy it on a sale lol, just replay the original.
1:00

Played like 4 hours of ghost of yotei today. The game is aggresively mid. Story is alright, nothing outstanding so far. Average revenge plot. The combat wants to be a duel, where you are able to strike, block and parry, and can learn even more things thoughtout the game. You get dual katana's very early on, with an option to swap between one blade and two blades. BUT, the game FORCES you which weapon to use against which enemy weapon. (solo blade against katana wielders, dual blades against spear wielders) The game has WAY too many gimmicks and mini games, that seemingly are only there to show you what your PS5 controller can do and to artifically inflate the time you spend in the game. Instead of feeling immersed, it's unneccessary and a literal waste of time. For example, when camping in the open world, you have to start up your own fire by swiping up many times and hitting R2 over and over again. You have to cook your food by using the gyoroscope of the controller and physically moving it down. Sure, cute gimmick, but no actual purpose was served, and havng to do this every single time, is just a waste of time. 80 bucks for this is a waste, do not spend your money on this, don't even buy it on a sale lol, just replay the original.

Kitsu 🦊💊

1,261,711 次观看 • 10 个月前

Former #Patriots RB Damien Harris says Bill Belichick being “stuck in his ways” caused Mac Jones to fail in New England. “What happened to Mac Jones in New England, was not because of Mac Jones… (it) was because of the fact you took away an offensive coordinator who coached him to be a Pro-Bowler and almost coached us to winning our division. With a rookie quarterback… then you take Matt Patricia who’s coached defense his entire life. Joe Judge who’s been a special teams coach… and then you just throw them in there and say, ‘Hey, coach this kid up. He’s a first round pick, but as long as you teach him what I say, everything gonna be fine.’ S**t wasn’t fine. Now Mac Jones is in Jacksonville… the breath of Mac Jones in New England — it came and went. It shouldn’t have (gone) the way that it went. The only reason that it did was because Bill Belichick, being stuck in his ways, was very much so ‘As long as I am here. As long as I am, along with Robert Kraft, the top dog at this organization… we will have success.’ I think that started kinda was this Cam Newton situation… everybody was like, ‘What the f**ck is this? Why Cam Newton?’ Bill thought that he could make it work. It didn’t really work. Then we drafted Mac. We had a hell of a year… went on to win seven straight. At that time we were kinda looking at ourselves like we might have a Super Bowl run here… then the next year after that you replace… Josh McDaniels with Matt Patricia and Joe Judge and then look at the year we had that year… now Mac Jones is all of a sudden gone. I think that everybody can look at what I just said. And ultimately, just watch it for what it was and kinda say that maybe Bill Belichick did not do right by Mac Jones.” Wow. (🎥 The Athletic Football Show)
2:06

Former #Patriots RB Damien Harris says Bill Belichick being “stuck in his ways” caused Mac Jones to fail in New England. “What happened to Mac Jones in New England, was not because of Mac Jones… (it) was because of the fact you took away an offensive coordinator who coached him to be a Pro-Bowler and almost coached us to winning our division. With a rookie quarterback… then you take Matt Patricia who’s coached defense his entire life. Joe Judge who’s been a special teams coach… and then you just throw them in there and say, ‘Hey, coach this kid up. He’s a first round pick, but as long as you teach him what I say, everything gonna be fine.’ S**t wasn’t fine. Now Mac Jones is in Jacksonville… the breath of Mac Jones in New England — it came and went. It shouldn’t have (gone) the way that it went. The only reason that it did was because Bill Belichick, being stuck in his ways, was very much so ‘As long as I am here. As long as I am, along with Robert Kraft, the top dog at this organization… we will have success.’ I think that started kinda was this Cam Newton situation… everybody was like, ‘What the f**ck is this? Why Cam Newton?’ Bill thought that he could make it work. It didn’t really work. Then we drafted Mac. We had a hell of a year… went on to win seven straight. At that time we were kinda looking at ourselves like we might have a Super Bowl run here… then the next year after that you replace… Josh McDaniels with Matt Patricia and Joe Judge and then look at the year we had that year… now Mac Jones is all of a sudden gone. I think that everybody can look at what I just said. And ultimately, just watch it for what it was and kinda say that maybe Bill Belichick did not do right by Mac Jones.” Wow. (🎥 The Athletic Football Show)

Carlos A. Lopez

582,438 次观看 • 2 年前

Here is how you can install an open-source, enterprise-grade RAG system on your server (with the best document understanding I've seen.) First, something obvious to anyone trying to sell RAG in the market: You are crazy if you think companies will let their data travel to a hosted model. No one wants to send their data anywhere (those who do haven't found an alternative.) Every single company would rather have an air-gapped system with no internet access. GroundX is an open-source RAG system that you can run on your servers (or any cloud provider, as long as you have access to GPUs) and works without a network. (If the military wants to do RAG, this is precisely what they will be looking for.) I installed GroundX on my AWS account and recorded a video to show you how to use it. There are two services you can use: 1. Ingest: This service uses a pretrained vision model to ingest and understand your knowledge base. 2. Search: This service combines text and vector search with a fine-tuned re-ranker model to retrieve information from your knowledge base. A quick note about the Ingest service: 99% of people think they need better "retrieval" mechanisms. I think they need better "ingestion." That's where this service comes in! Ingest "understands" your documents in a way I haven't seen before. After you try it, you'll realize why showing your LLM your raw documents is a bad idea. In the video, I use a free tool called X-Ray to test a document and understand how the Ingest service breaks it down. You can access this tool by signing up for a free GroundX cloud account and uploading your documents. You'll see a bit more about this in the video.
8:15

Here is how you can install an open-source, enterprise-grade RAG system on your server (with the best document understanding I've seen.) First, something obvious to anyone trying to sell RAG in the market: You are crazy if you think companies will let their data travel to a hosted model. No one wants to send their data anywhere (those who do haven't found an alternative.) Every single company would rather have an air-gapped system with no internet access. GroundX is an open-source RAG system that you can run on your servers (or any cloud provider, as long as you have access to GPUs) and works without a network. (If the military wants to do RAG, this is precisely what they will be looking for.) I installed GroundX on my AWS account and recorded a video to show you how to use it. There are two services you can use: 1. Ingest: This service uses a pretrained vision model to ingest and understand your knowledge base. 2. Search: This service combines text and vector search with a fine-tuned re-ranker model to retrieve information from your knowledge base. A quick note about the Ingest service: 99% of people think they need better "retrieval" mechanisms. I think they need better "ingestion." That's where this service comes in! Ingest "understands" your documents in a way I haven't seen before. After you try it, you'll realize why showing your LLM your raw documents is a bad idea. In the video, I use a free tool called X-Ray to test a document and understand how the Ingest service breaks it down. You can access this tool by signing up for a free GroundX cloud account and uploading your documents. You'll see a bit more about this in the video.

Santiago

89,664 次观看 • 1 年前

#WATCH | Congress MP Shashi Tharoor says, "It's not the first time we have had people deported. It's just that the media has suddenly woken up to this story because Mr Trump has done it a bit quicker than people expected. But already last year, under the Biden Administration, were over 1100 Indians being deported back. If you are illegally in the US, the US has the right to deport you and if your identity as an Indian is confirmed then India has an obligation to accept you. So, in both cases there really isn't very much debate. However, it wasn't good to hear that they were brought back forcibly in a military plane and handcuffed and so on. That was quite unnecessary. It should have been enough to put them on a commercial aircraft or civilian aeroplane and send them back. If you want to do a mass deportation, do in civilian charters. That would have been the more humane thing to do. They may have broken your laws by coming in to your country but by and large they have no bad intentions, they are not criminals, they are not convicted of anything else. They are there to make a better life for themselves which they have done by violating your laws sp you can send them out. But handcuffing and putting them in a military aircraft and sending them in this way, I think India should say that this is not entirely advisable..."
3:42

#WATCH | Congress MP Shashi Tharoor says, "It's not the first time we have had people deported. It's just that the media has suddenly woken up to this story because Mr Trump has done it a bit quicker than people expected. But already last year, under the Biden Administration, were over 1100 Indians being deported back. If you are illegally in the US, the US has the right to deport you and if your identity as an Indian is confirmed then India has an obligation to accept you. So, in both cases there really isn't very much debate. However, it wasn't good to hear that they were brought back forcibly in a military plane and handcuffed and so on. That was quite unnecessary. It should have been enough to put them on a commercial aircraft or civilian aeroplane and send them back. If you want to do a mass deportation, do in civilian charters. That would have been the more humane thing to do. They may have broken your laws by coming in to your country but by and large they have no bad intentions, they are not criminals, they are not convicted of anything else. They are there to make a better life for themselves which they have done by violating your laws sp you can send them out. But handcuffing and putting them in a military aircraft and sending them in this way, I think India should say that this is not entirely advisable..."

ANI

58,038 次观看 • 1 年前

Stop throwing away your seeds! If you want to beat the grocery store prices and enjoy that unmatched "picked from the garden" flavor, you have to try this. Most people don’t realize that the seeds inside your store-bought peppers are a gold mine for your homestead. Here is the step-by-step guide to turning one pepper into a full harvest: 1. Extract & Prep: Slice open a ripe pepper and gently remove the seeds. 2 The "Cookie Box" Hack: Use an old plastic cookie or fruit container as a mini greenhouse. Just make sure to poke drainage holes in the bottom! 3. Planting: Bury them a few cm deep in soil, water them well, and close the lid to lock in that moisture. 4. Patience is Key: It takes a few weeks to germinate, but once they hit 6 inches, it’s time for their own individual pots. 5. The Harvest: When the plant reaches about 15 inches, you’ll see those beautiful flower heads. That’s the sign that your peppers are on the way! Pick them green for a zesty crunch, or leave them on the vine to ripen into vibrant reds and yellows. There is nothing like the feeling of watching something grow from a tiny seed into a meal on your table.
0:38

Stop throwing away your seeds! If you want to beat the grocery store prices and enjoy that unmatched "picked from the garden" flavor, you have to try this. Most people don’t realize that the seeds inside your store-bought peppers are a gold mine for your homestead. Here is the step-by-step guide to turning one pepper into a full harvest: 1. Extract & Prep: Slice open a ripe pepper and gently remove the seeds. 2 The "Cookie Box" Hack: Use an old plastic cookie or fruit container as a mini greenhouse. Just make sure to poke drainage holes in the bottom! 3. Planting: Bury them a few cm deep in soil, water them well, and close the lid to lock in that moisture. 4. Patience is Key: It takes a few weeks to germinate, but once they hit 6 inches, it’s time for their own individual pots. 5. The Harvest: When the plant reaches about 15 inches, you’ll see those beautiful flower heads. That’s the sign that your peppers are on the way! Pick them green for a zesty crunch, or leave them on the vine to ripen into vibrant reds and yellows. There is nothing like the feeling of watching something grow from a tiny seed into a meal on your table.

The_Hemp_Hottie🌿🔥

34,734 次观看 • 2 个月前