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THIS GUY POWERED A $599 MAC MINI WITH A LAWN MOWER BATTERY AND TURNED HIS TESLA MODEL Y INTO A MOBILE AI OFFICE 00:44 he plugs the mac mini into a green EGO battery through a portable inverter, giving the entire setup its own power source instead of pulling...

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Gipp 🦅

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51,569 görüntüleme • 14 gün önce •via X (Twitter)

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THIS DEVELOPER TURNED A $599 MAC MINI AND $110 OF EXTRA HARDWARE INTO A PRIVATE AI COMPUTER THAT FITS IN A BACKPACK 00:49 he takes the complete setup out of the bag, connects it to a nearby screen and restores the same desktop, files and running tools in less than a minute. instead of syncing a new laptop every time he moves, the mac mini carries the original obsidian vault, claude code sessions, local models and unfinished agent tasks between every desk. the 10,000mah battery can keep the machine running for roughly 2 to 4 hours during writing, research and file organization, or around 60 to 90 minutes under heavier transcription and local ai workloads. the full build costs close to $710 if a screen is already available. that includes the mac mini, a 55w battery, the side mount and the cables needed to connect it to an ipad, hotel tv or office monitor. one box can carry 12,000 notes, 300gb of private files and several active agents without sending the data to another cloud account or rebuilding the workspace every time he changes locations.
1:05

THIS DEVELOPER TURNED A $599 MAC MINI AND $110 OF EXTRA HARDWARE INTO A PRIVATE AI COMPUTER THAT FITS IN A BACKPACK 00:49 he takes the complete setup out of the bag, connects it to a nearby screen and restores the same desktop, files and running tools in less than a minute. instead of syncing a new laptop every time he moves, the mac mini carries the original obsidian vault, claude code sessions, local models and unfinished agent tasks between every desk. the 10,000mah battery can keep the machine running for roughly 2 to 4 hours during writing, research and file organization, or around 60 to 90 minutes under heavier transcription and local ai workloads. the full build costs close to $710 if a screen is already available. that includes the mac mini, a 55w battery, the side mount and the cables needed to connect it to an ipad, hotel tv or office monitor. one box can carry 12,000 notes, 300gb of private files and several active agents without sending the data to another cloud account or rebuilding the workspace every time he changes locations.

Gipp 🦅

30,550 görüntüleme • 15 gün önce

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 görüntüleme • 16 gün önce

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 görüntüleme • 18 gün önce

HE TURNED A $599 MAC MINI INTO A CLAUDE SECOND BRAIN USING OBSIDIAN, PYTHON AND A FEW ALWAYS-ON LOOPS not a fancy SaaS dashboard. not another chat tab. a tiny box on a desk that can pull lectures, transcribe audio, read articles, clean notes and write everything into a local vault while he sleeps Steve Jobs wanted the Mac mini to be the small affordable Mac anyone could put on a desk. now that same tiny Apple box can run Claude loops 24/7, process 100+ saved links, turn 2-hour lectures into structured notes, and send a morning brief for a few dollars in API calls the real trick is the loop. trigger, do, verify, retry, stop. Claude does the thinking, Obsidian stores the memory, and the Mac mini keeps running even when nobody is touching the keyboard bookmark this before you think a second brain needs another $29/month app
0:21

HE TURNED A $599 MAC MINI INTO A CLAUDE SECOND BRAIN USING OBSIDIAN, PYTHON AND A FEW ALWAYS-ON LOOPS not a fancy SaaS dashboard. not another chat tab. a tiny box on a desk that can pull lectures, transcribe audio, read articles, clean notes and write everything into a local vault while he sleeps Steve Jobs wanted the Mac mini to be the small affordable Mac anyone could put on a desk. now that same tiny Apple box can run Claude loops 24/7, process 100+ saved links, turn 2-hour lectures into structured notes, and send a morning brief for a few dollars in API calls the real trick is the loop. trigger, do, verify, retry, stop. Claude does the thinking, Obsidian stores the memory, and the Mac mini keeps running even when nobody is touching the keyboard bookmark this before you think a second brain needs another $29/month app

Ridark

65,142 görüntüleme • 21 gün önce

Apple CEO : "Apple just made the Mac Mini small enough to disappear on your desk, but powerful enough to become your AI workstation." The new M4 Mac Mini starts at $599, comes with Apple Silicon, and pushes desktop compute into a box most people could hide behind a monitor. It is the next cheap entry point for local AI, automation, coding, content, and private workflows. Mac Mini + M4 + local models + low power = the new desk setup. Worth more than another $500 productivity course.
5:32

Apple CEO : "Apple just made the Mac Mini small enough to disappear on your desk, but powerful enough to become your AI workstation." The new M4 Mac Mini starts at $599, comes with Apple Silicon, and pushes desktop compute into a box most people could hide behind a monitor. It is the next cheap entry point for local AI, automation, coding, content, and private workflows. Mac Mini + M4 + local models + low power = the new desk setup. Worth more than another $500 productivity course.

Lummox

261,857 görüntüleme • 17 gün önce

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 🦅

456,957 görüntüleme • 1 ay önce

THIS TOKYO PROGRAMMER MADE $8,500 IN HIS FIRST MONTH WITH A MAC MINI — AND SAYS IT'S THE ONLY MACHINE YOU NEED FOR AI Claude Code, Codex, any AI tool - all of it runs on a Mac Mini with zero issues and zero monthly cloud bills at the 0:11 second mark he turns the monitor around - Claude Code with Opus 4.7 running in full context, terminal active and the agent already working - one programmer, one room in Tokyo, one $599 Mac Mini used to pay $200+ a month on subscriptions and cloud GPU - now pays $3 in electricity and everything else stays in his business $599 invested once - and in the first year he saved $2,364 that used to go to someone else's data center his advice is simple: if you're serious about AI - the Mac Mini is the first thing you should buy
0:25

THIS TOKYO PROGRAMMER MADE $8,500 IN HIS FIRST MONTH WITH A MAC MINI — AND SAYS IT'S THE ONLY MACHINE YOU NEED FOR AI Claude Code, Codex, any AI tool - all of it runs on a Mac Mini with zero issues and zero monthly cloud bills at the 0:11 second mark he turns the monitor around - Claude Code with Opus 4.7 running in full context, terminal active and the agent already working - one programmer, one room in Tokyo, one $599 Mac Mini used to pay $200+ a month on subscriptions and cloud GPU - now pays $3 in electricity and everything else stays in his business $599 invested once - and in the first year he saved $2,364 that used to go to someone else's data center his advice is simple: if you're serious about AI - the Mac Mini is the first thing you should buy

Sprytix

14,771 görüntüleme • 1 ay önce

People always love to ask, "What are you going to do when the battery goes on your Tesla?" This 2019 Model 3 RWD owned by Eric @ Drive Protected ™ still had the ORIGINAL battery and rear motor after 381,000 miles (613,000 km). Even after all those miles, the battery retained 70% capacity. He decided to bring new life to the car by swapping the original NCA pack for a modern LFP pack from a newer Model 3. The original pack was still perfectly functional, the swap was just for performance. Swapping a battery in a Tesla is much quicker than people think. In just a few hours, the orginal battery was removed then replaced with a LFP pack. Once configured via the computer, the car is perfectly functional. There’s no huge mess, not a lot of wires, it’s actually very simple once you are experienced with it. His Model 3 now functions and charges like a newer car. Tesla vehicles are designed from the ground up to be very serviceable.
1:14

People always love to ask, "What are you going to do when the battery goes on your Tesla?" This 2019 Model 3 RWD owned by Eric @ Drive Protected ™ still had the ORIGINAL battery and rear motor after 381,000 miles (613,000 km). Even after all those miles, the battery retained 70% capacity. He decided to bring new life to the car by swapping the original NCA pack for a modern LFP pack from a newer Model 3. The original pack was still perfectly functional, the swap was just for performance. Swapping a battery in a Tesla is much quicker than people think. In just a few hours, the orginal battery was removed then replaced with a LFP pack. Once configured via the computer, the car is perfectly functional. There’s no huge mess, not a lot of wires, it’s actually very simple once you are experienced with it. His Model 3 now functions and charges like a newer car. Tesla vehicles are designed from the ground up to be very serviceable.

Nic Cruz Patane

330,520 görüntüleme • 2 ay önce

One day, Shehu Ibrahim Inyass was inside a car with Shehul Hadi, the driver kickstarted the car and the engine refused to rev up. So, Shehu curiously asked; what is happening here, and he was told the car battery has weakened and cannot longer run the engine, until they use an external power to boost the battery . Immediately, he turned to Shehul Hadi and said, this is applicable to human souls, he continued, “This car refused to start because the battery is weak, once your imaam goes weak, it becomes dysfunctional that everything about you stops working, you need a reviving power (Zikr) to resuscitate it back to life. Everything about them is Allah. ❤️
1:31

One day, Shehu Ibrahim Inyass was inside a car with Shehul Hadi, the driver kickstarted the car and the engine refused to rev up. So, Shehu curiously asked; what is happening here, and he was told the car battery has weakened and cannot longer run the engine, until they use an external power to boost the battery . Immediately, he turned to Shehul Hadi and said, this is applicable to human souls, he continued, “This car refused to start because the battery is weak, once your imaam goes weak, it becomes dysfunctional that everything about you stops working, you need a reviving power (Zikr) to resuscitate it back to life. Everything about them is Allah. ❤️

JayB

29,561 görüntüleme • 2 yıl önce

THIS DEVELOPER BOUGHT A $799 MAC MINI AND NOW RUNS 5 FACELESS YOUTUBE CHANNELS FOR $55/MONTH WITH CLAUDE AGENTS the trick is not buying a stronger computer. the trick is giving claude its own 24/7 machine, so it can take over the screen, click through tools, move files, write scripts and keep working while his main laptop stays untouched each channel runs from its own skill. documentary, luxury, gaming, deep sea and infrastructure all have different tones, seo formats and script rules. claude can turn one topic into a 1,600-2,000 word script, 8-10 visual prompts and 3 title options without a new brief every night the whole system costs $799 once and around $55 a month to operate. claude, elevenlabs, midjourney and electricity replace the manual loop most faceless creators get stuck in after month two. the mac mini itself stays online for about $3/month setup takes around 45 minutes. fresh macos install, 32gb ram, claude desktop, computer use permissions, google drive routing, connectors and one dedicated output folder. after that the machine becomes the place where the work happens most people try to scale youtube by adding more channels and more manual work. this flips the model. one box handles research, scripts, prompts, descriptions and scheduling while the human does one review session per week month 6 is where this starts getting dangerous. the channels that survive the first 90 days are not just posting videos anymore. they are running a tiny content factory from a box under the desk
1:07

THIS DEVELOPER BOUGHT A $799 MAC MINI AND NOW RUNS 5 FACELESS YOUTUBE CHANNELS FOR $55/MONTH WITH CLAUDE AGENTS the trick is not buying a stronger computer. the trick is giving claude its own 24/7 machine, so it can take over the screen, click through tools, move files, write scripts and keep working while his main laptop stays untouched each channel runs from its own skill. documentary, luxury, gaming, deep sea and infrastructure all have different tones, seo formats and script rules. claude can turn one topic into a 1,600-2,000 word script, 8-10 visual prompts and 3 title options without a new brief every night the whole system costs $799 once and around $55 a month to operate. claude, elevenlabs, midjourney and electricity replace the manual loop most faceless creators get stuck in after month two. the mac mini itself stays online for about $3/month setup takes around 45 minutes. fresh macos install, 32gb ram, claude desktop, computer use permissions, google drive routing, connectors and one dedicated output folder. after that the machine becomes the place where the work happens most people try to scale youtube by adding more channels and more manual work. this flips the model. one box handles research, scripts, prompts, descriptions and scheduling while the human does one review session per week month 6 is where this starts getting dangerous. the channels that survive the first 90 days are not just posting videos anymore. they are running a tiny content factory from a box under the desk

Gipp 🦅

19,638 görüntüleme • 1 ay önce

THIS CHINESE BUILDER TURNED 8 RETIRED TESLA P40s INTO A 192GB PRIVATE AI SERVER THAT CAN WORK 5,760 GPU-HOURS EVERY MONTH. 00:06 he holds up one used Tesla P40 while seven more sit behind it, then installs the full stack inside a massive dual-Xeon server chassis. each card carries 24GB of VRAM, giving the system 192GB across eight GPUs for local models, video processing, transcription, private documents and AI agents. the real advantage is parallel work. some cards can serve a local model while the rest generate images, process files and run overnight automation at the same time. eight GPUs running continuously deliver 5,760 GPU-hours every 30 days. rent that workload from the cloud and the meter keeps moving for every minute the server stays online. a $412 monthly AI stack already costs $4,944 a year before serious GPU rental. he bought retired hardware once, kept the data local and built a machine that keeps working after the browser closes.
0:55

THIS CHINESE BUILDER TURNED 8 RETIRED TESLA P40s INTO A 192GB PRIVATE AI SERVER THAT CAN WORK 5,760 GPU-HOURS EVERY MONTH. 00:06 he holds up one used Tesla P40 while seven more sit behind it, then installs the full stack inside a massive dual-Xeon server chassis. each card carries 24GB of VRAM, giving the system 192GB across eight GPUs for local models, video processing, transcription, private documents and AI agents. the real advantage is parallel work. some cards can serve a local model while the rest generate images, process files and run overnight automation at the same time. eight GPUs running continuously deliver 5,760 GPU-hours every 30 days. rent that workload from the cloud and the meter keeps moving for every minute the server stays online. a $412 monthly AI stack already costs $4,944 a year before serious GPU rental. he bought retired hardware once, kept the data local and built a machine that keeps working after the browser closes.

Gipp 🦅

42,332 görüntüleme • 13 gün önce

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change
18:41

This guy plugged a DGX Spark (the $3K Nvidia box) and a Mac Mini M4 together to run AI and what happened next surprised everyone > the Nvidia box handles the hard part - processing your prompt in milliseconds > Mac Mini M4 handles the fast part - generating the response at memory bandwidth speeds nothing else can match > together they hit 84 tokens per second on Llama - 6x faster than the Spark alone > running compute agents locally on this setup means your data never leaves your hardware > two boxes. two different architectures. one AI system that Deepseek runs at data center scale he ran it on his desk save this. the way we build local AI is about to change

Mr. Buzzoni

153,432 görüntüleme • 1 ay önce

HAO WANG BUILT AN AI SERVER FARM OUT OF 100 MAC MINIS. ONE $599 BOX KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below
0:20

HAO WANG BUILT AN AI SERVER FARM OUT OF 100 MAC MINIS. ONE $599 BOX KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below

starmex

50,610 görüntüleme • 1 ay önce

THE NEXT WAVE OF LOCAL AI BUILDERS SHIPS PORTABLE STACKS WITH HANDHELD $40 SDR SCANNERS, LOCAL LLMs ONLY WORK OFF-GRID WHEN SOMETHING ELSE IS LISTENING TO THE AIR 00:30 he opens the case and points at each component, "really it's a pi sugar power pack mounted to a raspberry pi zero 2w and a little adafruit bonnet" the scanner adds a noelec sdr dongle and a 2m antenna, boots up as a spectrum analyzer he takes to the park with his kid to identify local radio transmissions the same maker keeps a $600 mini pc running qwen 3.6 27b on his desk with claude code pointed at localhost, the offline ai handles his coding, writing and research without a single cloud api call the sdr scanner completes the sovereignty stack, the mini pc thinks locally while the scanner listens locally, and neither needs the internet for the parts of his work that used to require it builders who moved off cloud ai are now moving off cloud everything, the pattern isn't just $459 in subscriptions dead but a full stack that survives when the cloud goes down bookmark this and read the article below
3:58

THE NEXT WAVE OF LOCAL AI BUILDERS SHIPS PORTABLE STACKS WITH HANDHELD $40 SDR SCANNERS, LOCAL LLMs ONLY WORK OFF-GRID WHEN SOMETHING ELSE IS LISTENING TO THE AIR 00:30 he opens the case and points at each component, "really it's a pi sugar power pack mounted to a raspberry pi zero 2w and a little adafruit bonnet" the scanner adds a noelec sdr dongle and a 2m antenna, boots up as a spectrum analyzer he takes to the park with his kid to identify local radio transmissions the same maker keeps a $600 mini pc running qwen 3.6 27b on his desk with claude code pointed at localhost, the offline ai handles his coding, writing and research without a single cloud api call the sdr scanner completes the sovereignty stack, the mini pc thinks locally while the scanner listens locally, and neither needs the internet for the parts of his work that used to require it builders who moved off cloud ai are now moving off cloud everything, the pattern isn't just $459 in subscriptions dead but a full stack that survives when the cloud goes down bookmark this and read the article below

starmex

40,403 görüntüleme • 11 gün önce

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 görüntüleme • 17 gün önce

THIS PORTABLE HACKER KIT PACKS A RASPBERRY PI 5 WITH 16GB OF RAM AND A 512GB NVME THAT ALSO RUNS LOCAL LLMs, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT MOBILE 00:08 he sets down the pi and starts the tour, "this is my raspberry pi 5, 16 gigs of ram, 512 gigabyte nvme ssd storage, this thing means business" the kit stacks the pi next to a bluetooth analyzer, a 5g wifi router with a battery, and a pen-testing dongle for packet injection, the whole rig runs off usb-c and fits in a shoulder bag he uses it for evil-twin wifi tests and bluetooth device audits, and the same pi 5 also handles ollama with a 7b or 14b model locally at usable speed with every packet capture staying inside the case claude code points at localhost through a single environment variable, the cli behaves identically to the cloud version except every token generates on the pi in his hand and the api bill never arrives $200 chatgpt pro and $200 claude code max used to hit the same card that pays his internet, the whole subscription stack died the day the pi got mobile and ai bills went to zero because the model runs on the same box that runs his packet capture bookmark this and read the article below
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THIS PORTABLE HACKER KIT PACKS A RASPBERRY PI 5 WITH 16GB OF RAM AND A 512GB NVME THAT ALSO RUNS LOCAL LLMs, KILLED $200 CLAUDE CODE MAX AND $200 CHATGPT PRO SUBSCRIPTIONS THE DAY IT WENT MOBILE 00:08 he sets down the pi and starts the tour, "this is my raspberry pi 5, 16 gigs of ram, 512 gigabyte nvme ssd storage, this thing means business" the kit stacks the pi next to a bluetooth analyzer, a 5g wifi router with a battery, and a pen-testing dongle for packet injection, the whole rig runs off usb-c and fits in a shoulder bag he uses it for evil-twin wifi tests and bluetooth device audits, and the same pi 5 also handles ollama with a 7b or 14b model locally at usable speed with every packet capture staying inside the case claude code points at localhost through a single environment variable, the cli behaves identically to the cloud version except every token generates on the pi in his hand and the api bill never arrives $200 chatgpt pro and $200 claude code max used to hit the same card that pays his internet, the whole subscription stack died the day the pi got mobile and ai bills went to zero because the model runs on the same box that runs his packet capture bookmark this and read the article below

starmex

25,094 görüntüleme • 11 gün önce

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this
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THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

57,975 görüntüleme • 1 ay önce

THIS VETERAN DEVELOPER PUT 2 MAC MINIS ON HIS DESK FOR $1,198 AND TURNED HERMES INTO A LOCAL AI WORKSPACE THAT DOESN’T NEED A $210/MONTH AGENT STACK he is not flexing hardware. he is showing the part most people still miss: once Hermes runs locally, the laptop stops being a chat window and starts acting like a workspace with memory, tools and saved skills two Mac minis, one local setup, zero cloud agent dashboard. research tasks, summaries, client notes and workflow steps stay on his machine instead of disappearing every time a session ends most people keep paying for Claude, wrappers, API calls and automation tools just to repeat the same instructions every day. Hermes cuts the waste by saving the process once and pulling it back when the same job returns the math is ugly for cloud tools. $210/month turns into $2,520/year before you even count extra tokens. his version is hardware once, local workflows after, and no panic when rate limits hit the quiet winners will not be the people with the cleanest chatbot tab. it will be the people who own the machine, the memory and the workflow before everyone else realizes that is the product
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THIS VETERAN DEVELOPER PUT 2 MAC MINIS ON HIS DESK FOR $1,198 AND TURNED HERMES INTO A LOCAL AI WORKSPACE THAT DOESN’T NEED A $210/MONTH AGENT STACK he is not flexing hardware. he is showing the part most people still miss: once Hermes runs locally, the laptop stops being a chat window and starts acting like a workspace with memory, tools and saved skills two Mac minis, one local setup, zero cloud agent dashboard. research tasks, summaries, client notes and workflow steps stay on his machine instead of disappearing every time a session ends most people keep paying for Claude, wrappers, API calls and automation tools just to repeat the same instructions every day. Hermes cuts the waste by saving the process once and pulling it back when the same job returns the math is ugly for cloud tools. $210/month turns into $2,520/year before you even count extra tokens. his version is hardware once, local workflows after, and no panic when rate limits hit the quiet winners will not be the people with the cleanest chatbot tab. it will be the people who own the machine, the memory and the workflow before everyone else realizes that is the product

Gipp 🦅

60,173 görüntüleme • 1 ay önce

🇺🇸 Nine years in the making, and the Tesla Semi is finally headed to volume production in 2026 at Giga Nevada. The refreshed version runs on the 4680 battery pack with a promised 500-mile range. Elon's calls it a "money machine" for fleets: lower operating costs than diesel at scale, and a product category that's been waiting for this moment since the first prototype rolled out in 2017. If the timeline holds, this might be the year electric trucks stop being a promise and start being a business. Source: Tesla Semi
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🇺🇸 Nine years in the making, and the Tesla Semi is finally headed to volume production in 2026 at Giga Nevada. The refreshed version runs on the 4680 battery pack with a promised 500-mile range. Elon's calls it a "money machine" for fleets: lower operating costs than diesel at scale, and a product category that's been waiting for this moment since the first prototype rolled out in 2017. If the timeline holds, this might be the year electric trucks stop being a promise and start being a business. Source: Tesla Semi

Mario Nawfal

100,710 görüntüleme • 2 ay önce