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A 14-year-old student ordered a Raspberry Pi Zero W for $15, a small LCD screen for $12 and printed a case on a 3D printer for $3. $30 total and a package from AliExpress. He built a Pwnagotchi - a device that looks like a toy with a little...

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Sprytix

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10,508 просмотров • 1 месяц назад •via X (Twitter)

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A small tip on making back and forward screen transitions feel a bit snappier and more natural. Use a shorter movement trajectory and apply the movement animation only to the upcoming screen, not the one that is leaving.
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A small tip on making back and forward screen transitions feel a bit snappier and more natural. Use a shorter movement trajectory and apply the movement animation only to the upcoming screen, not the one that is leaving.

Jakub Antalik

39,490 просмотров • 9 месяцев назад

Space objects in 3D NASA created 3D models of stars and supernova remnants by combining data from the Chandra X-ray Observatory with computer calculations. These models can not only be viewed on the screen, but also printed on a 3D printer. Here they are, from left to right — the supernova remnant Cassiopeia A, the young star BP Tauri, the planetary nebula Cygnus Loop, and the supernova remnant G292.0+1.8.
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Space objects in 3D NASA created 3D models of stars and supernova remnants by combining data from the Chandra X-ray Observatory with computer calculations. These models can not only be viewed on the screen, but also printed on a 3D printer. Here they are, from left to right — the supernova remnant Cassiopeia A, the young star BP Tauri, the planetary nebula Cygnus Loop, and the supernova remnant G292.0+1.8.

Black Hole

13,055 просмотров • 1 год назад

This 47-year-old man from Japan made $14,450 in a month by creating an AI girl and turning her into a virtual influencer. He got tired of watching people hire a model and a photographer and an editor and a content manager for a virtual influencer and burn a budget on it. He built an AI girl from scratch and handed the whole operation to Claude. A project like that used to cost a team. His entire spend is $20 a month. No model. No studio. No team. Here is the exact breakdown: → First he built the persona herself: a face, a character, a backstory and a manner that the AI keeps identical in every clip → He films it simply: the girl is on top of the frame and he sits below in the same room and she repeats his moves and his face so the character reads as alive → The first free source is TikTok and the second is Reddit with photos and short videos and behind-the-scenes and both point to one link in the profile → From there Claude carries it all: it designs the visuals and writes the captions and shapes the content for the algorithm and posts on a schedule almost without him → From that link a person lands not on a pretty picture but on a subscription, a digital product or a private community The move that 96% skip: they polish the girl herself but the asset is not the face, it is the system around her. Make just a pretty AI girl and she dissolves into thousands like her within a week. Run two free traffic streams into her and a stack of ways to pay and the attention starts turning into money because people pay not for a picture but for access and a product and exclusivity. Here is what those $14,450 are made of. A private Patreon subscription: 700 people at $9.90 is $6,930. Digital products on Gumroad like photosets and wallpapers and prompt packs: 300 sales at $19 is $5,700. Affiliate offers for AI tools: 100 conversions at $12 is $1,200. Donations and paid requests added about $620 more. He grew the TikTok in 5 days: the clips pulled 1,500,000 views and 6,790 followers off a persona that did not exist a week earlier. Under the clips people argue whether the girl is real and that argument carries them further on its own. Not a single shoot day. Not a dollar on ads. Not a single hire. Just one AI persona. Two free traffic streams. And the discipline to build a system around her not just polish one picture. Half of you are already typing that nobody will watch a virtual influencer. The other half is already setting up an account for their first persona. Which half are you in?
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This 47-year-old man from Japan made $14,450 in a month by creating an AI girl and turning her into a virtual influencer. He got tired of watching people hire a model and a photographer and an editor and a content manager for a virtual influencer and burn a budget on it. He built an AI girl from scratch and handed the whole operation to Claude. A project like that used to cost a team. His entire spend is $20 a month. No model. No studio. No team. Here is the exact breakdown: → First he built the persona herself: a face, a character, a backstory and a manner that the AI keeps identical in every clip → He films it simply: the girl is on top of the frame and he sits below in the same room and she repeats his moves and his face so the character reads as alive → The first free source is TikTok and the second is Reddit with photos and short videos and behind-the-scenes and both point to one link in the profile → From there Claude carries it all: it designs the visuals and writes the captions and shapes the content for the algorithm and posts on a schedule almost without him → From that link a person lands not on a pretty picture but on a subscription, a digital product or a private community The move that 96% skip: they polish the girl herself but the asset is not the face, it is the system around her. Make just a pretty AI girl and she dissolves into thousands like her within a week. Run two free traffic streams into her and a stack of ways to pay and the attention starts turning into money because people pay not for a picture but for access and a product and exclusivity. Here is what those $14,450 are made of. A private Patreon subscription: 700 people at $9.90 is $6,930. Digital products on Gumroad like photosets and wallpapers and prompt packs: 300 sales at $19 is $5,700. Affiliate offers for AI tools: 100 conversions at $12 is $1,200. Donations and paid requests added about $620 more. He grew the TikTok in 5 days: the clips pulled 1,500,000 views and 6,790 followers off a persona that did not exist a week earlier. Under the clips people argue whether the girl is real and that argument carries them further on its own. Not a single shoot day. Not a dollar on ads. Not a single hire. Just one AI persona. Two free traffic streams. And the discipline to build a system around her not just polish one picture. Half of you are already typing that nobody will watch a virtual influencer. The other half is already setting up an account for their first persona. Which half are you in?

Kaidu

48,471 просмотров • 11 дней назад

A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.
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A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

Bober_smart

4,298,037 просмотров • 5 дней назад

this guy 3D printed and vibe coded a tiny Claude robot for his desk it's called "Clawd Mochi." runs on an ESP32 chip with a tiny display that shows animated expressions. > hosts its own WiFi hotspot. zero cloud and zero internet required. fully offline > live-switch between animated faces, a terminal emulator, and a drawing canvas from your browser > total cost: under $8 > takes less than an hour to build 3D print files AND the full build are both open source too this is the greatest thing anyone has built with vibe coding
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this guy 3D printed and vibe coded a tiny Claude robot for his desk it's called "Clawd Mochi." runs on an ESP32 chip with a tiny display that shows animated expressions. > hosts its own WiFi hotspot. zero cloud and zero internet required. fully offline > live-switch between animated faces, a terminal emulator, and a drawing canvas from your browser > total cost: under $8 > takes less than an hour to build 3D print files AND the full build are both open source too this is the greatest thing anyone has built with vibe coding

Om Patel

153,144 просмотров • 3 месяцев назад

yeonjun tells us how he came up with the line “till the coda” in the song coma 🦊: i was on a short vacation for a day or two back then and I watched a movie i did at the end to signify the end of the episode “ the coda “ appeared on the screen I thought “ oh I have to use that “ and jotted it down
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yeonjun tells us how he came up with the line “till the coda” in the song coma 🦊: i was on a short vacation for a day or two back then and I watched a movie i did at the end to signify the end of the episode “ the coda “ appeared on the screen I thought “ oh I have to use that “ and jotted it down

yeonjun

19,991 просмотров • 7 месяцев назад

> a screen recording of the boot screen and menus for a user playing Mario Kart 64 on the N64, they play a grand prix and start to race
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> a screen recording of the boot screen and menus for a user playing Mario Kart 64 on the N64, they play a grand prix and start to race

fofr

466,521 просмотров • 8 месяцев назад

What does the alert look and sound like? 🚨 Emergency Alerts will appear on the home screen of your device and you will hear a loud siren-like sound and feel a vibration for up to 10 seconds. Watch the video below 📽️👇
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What does the alert look and sound like? 🚨 Emergency Alerts will appear on the home screen of your device and you will hear a loud siren-like sound and feel a vibration for up to 10 seconds. Watch the video below 📽️👇

Cabinet Office

3,076,983 просмотров • 3 лет назад

Seedance 2 is so good at character and scene consistency across cuts. I tested it with a short film on something I learned last week about cats. The key is detailed prompts - take your story to an LLM to nail the structure, then to Krea to make the video. Take my prompt 👇 Style: high-quality 3D animation, expressive character acting, cozy lighting, cinematic composition Timestamped structure: 0:00 - 0:02 Open on a cozy desk setup in a home office. A black cat, Finn, is near the desk, alert and curious. The woman with brown hair and blue eyes sits at her computer, pulling up a YouTube-style bird video. The screen shows colorful birds hopping on branches. Finn immediately locks in on the movement. 0:03 - 0:05 The woman smiles knowingly and adjusts the monitor so Finn can see better. She lightly gestures toward the screen. Finn jumps onto the chair or desk edge and sits facing the monitor, ears forward, body still, completely mesmerized by the birds. 0:05 - 0:07 The woman gets up from the desk and walks away casually, leaving Finn watching. Finn remains seated, staring at the bird video with total concentration. Maybe a subtle tail flick or tiny head movement tracks the birds on screen. 0:07 - 0:10 Cut to later in the day, in the exact same office. The woman is now back at the desk in a Zoom meeting, still with the single monitor on the same desk. The computer screen now shows a video call grid or work presentation instead of the birds. She is mid-conversation, professional and focused, seated upright, saying "and now we'll move to the next slide" 0:10 - 0:12 Finn suddenly jumps up onto the desk from below, entering frame with urgency. He looks at the screen, confused and dissatisfied that the birds are gone. He starts pawing at the screen and the woman is shocked and embarrassed
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Seedance 2 is so good at character and scene consistency across cuts. I tested it with a short film on something I learned last week about cats. The key is detailed prompts - take your story to an LLM to nail the structure, then to Krea to make the video. Take my prompt 👇 Style: high-quality 3D animation, expressive character acting, cozy lighting, cinematic composition Timestamped structure: 0:00 - 0:02 Open on a cozy desk setup in a home office. A black cat, Finn, is near the desk, alert and curious. The woman with brown hair and blue eyes sits at her computer, pulling up a YouTube-style bird video. The screen shows colorful birds hopping on branches. Finn immediately locks in on the movement. 0:03 - 0:05 The woman smiles knowingly and adjusts the monitor so Finn can see better. She lightly gestures toward the screen. Finn jumps onto the chair or desk edge and sits facing the monitor, ears forward, body still, completely mesmerized by the birds. 0:05 - 0:07 The woman gets up from the desk and walks away casually, leaving Finn watching. Finn remains seated, staring at the bird video with total concentration. Maybe a subtle tail flick or tiny head movement tracks the birds on screen. 0:07 - 0:10 Cut to later in the day, in the exact same office. The woman is now back at the desk in a Zoom meeting, still with the single monitor on the same desk. The computer screen now shows a video call grid or work presentation instead of the birds. She is mid-conversation, professional and focused, seated upright, saying "and now we'll move to the next slide" 0:10 - 0:12 Finn suddenly jumps up onto the desk from below, entering frame with urgency. He looks at the screen, confused and dissatisfied that the birds are gone. He starts pawing at the screen and the woman is shocked and embarrassed

Justine Moore

27,064 просмотров • 2 месяцев назад

A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.
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A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.

Marlow

23,171 просмотров • 1 месяц назад

He created a device that lets paralyzed individuals control phones, tablets, and computers with only their tongue. Created by MIT-trained engineer Tomás Vega, the device sits on the roof of the mouth and works like a wireless trackpad.
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He created a device that lets paralyzed individuals control phones, tablets, and computers with only their tongue. Created by MIT-trained engineer Tomás Vega, the device sits on the roof of the mouth and works like a wireless trackpad.

Massimo

8,319,267 просмотров • 11 месяцев назад

From simulation to reality 🤖 Robotics creator Skyentific built a walking bipedal robot using a simulation-first approach to design, test, and iterating in virtual environments before deploying in the real world. Powered by the NVIDIA Isaac platform and NVIDIA Jetson for on-device AI and control. 📖 #NationalRoboticsWeek
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From simulation to reality 🤖 Robotics creator Skyentific built a walking bipedal robot using a simulation-first approach to design, test, and iterating in virtual environments before deploying in the real world. Powered by the NVIDIA Isaac platform and NVIDIA Jetson for on-device AI and control. 📖 #NationalRoboticsWeek

NVIDIA Robotics

21,697 просмотров • 2 месяцев назад

omg can someone write a fic where ilya is THE best player in the nhl, shane’s a college student dating someone on the rival team, and every time ilya scores he skates straight to the away fans section just to look for the pretty guy who keeps catching his eye
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omg can someone write a fic where ilya is THE best player in the nhl, shane’s a college student dating someone on the rival team, and every time ilya scores he skates straight to the away fans section just to look for the pretty guy who keeps catching his eye

𝒃𝒆𝒓𝒆𝒚

155,208 просмотров • 1 месяц назад

A 19 year old built an AI girl in one evening. Last month she made $21,847. One guy sent her $200, then came back the next day. Another has spent over $4,000 this year. He thinks she's real. She isn't. The entire thing runs from a laptop on his parents' WiFi. Total cost: $21 a month. That's the part that feels fake. Not the revenue. The barrier to building it. A year ago this would've taken a team. Now it's a weekend project.
0:10

A 19 year old built an AI girl in one evening. Last month she made $21,847. One guy sent her $200, then came back the next day. Another has spent over $4,000 this year. He thinks she's real. She isn't. The entire thing runs from a laptop on his parents' WiFi. Total cost: $21 a month. That's the part that feels fake. Not the revenue. The barrier to building it. A year ago this would've taken a team. Now it's a weekend project.

wluha

20,406 просмотров • 5 дней назад

THIS GUY BOUGHT A $31 TOY DRONE AND TURNED CLAUDE OPUS 4.8 INTO ITS ENGINEER he plugged it into a laptop, explained the control logic in plain english and let Claude build the flight interface by the end of the session it had calibration, live controls and a browser cockpit moving the drone in real time most people will use Opus 4.8 to save 12 minutes on emails. he used it to turn cheap plastic into a working demo the crazy part isn’t the drone. it’s that the bottleneck moved from writing code to describing exactly what you want built while everyone debates benchmarks, someone with a $31 gadget and one afternoon is already shipping hardware demos
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THIS GUY BOUGHT A $31 TOY DRONE AND TURNED CLAUDE OPUS 4.8 INTO ITS ENGINEER he plugged it into a laptop, explained the control logic in plain english and let Claude build the flight interface by the end of the session it had calibration, live controls and a browser cockpit moving the drone in real time most people will use Opus 4.8 to save 12 minutes on emails. he used it to turn cheap plastic into a working demo the crazy part isn’t the drone. it’s that the bottleneck moved from writing code to describing exactly what you want built while everyone debates benchmarks, someone with a $31 gadget and one afternoon is already shipping hardware demos

Gipp 🦅

735,627 просмотров • 26 дней назад

A 19-year-old Chinese student spent $20 on Claude and built a YouTube automation system making $7,400/month. Found 12 small channels getting 300,000+ views from the same lazy formats, copied the structure, not the videos. Titles, thumbnails, pacing, hooks, upload schedule. 30 minutes later, Claude turned the winning patterns into 40 new video ideas. AI tools made the visuals, voiceovers and captions. CapCut packaged everything into Shorts. He didn’t edit a single video manually. Started testing 20-30 uploads a day across multiple channels. Most failed, but the winners kept pulling views automatically. Month 1 - $430 from test videos. Month 3 - $2,800. Month 6 - $7,400+ every month from channels running while he sleeps. University makes you pay $100,000 to learn theory for 4 years. He spent $20, opened 4 browser windows and let YouTube data tell him what to make next.
0:10

A 19-year-old Chinese student spent $20 on Claude and built a YouTube automation system making $7,400/month. Found 12 small channels getting 300,000+ views from the same lazy formats, copied the structure, not the videos. Titles, thumbnails, pacing, hooks, upload schedule. 30 minutes later, Claude turned the winning patterns into 40 new video ideas. AI tools made the visuals, voiceovers and captions. CapCut packaged everything into Shorts. He didn’t edit a single video manually. Started testing 20-30 uploads a day across multiple channels. Most failed, but the winners kept pulling views automatically. Month 1 - $430 from test videos. Month 3 - $2,800. Month 6 - $7,400+ every month from channels running while he sleeps. University makes you pay $100,000 to learn theory for 4 years. He spent $20, opened 4 browser windows and let YouTube data tell him what to make next.

Gipp 🦅

137,223 просмотров • 1 месяц назад

19-year-old girl spent $42 and 30 minutes, then made $9,600 from children’s videos she never appeared in. 4,100,000 views on YouTube, no camera, no face, no editor. The entire channel was built around kids content. One video uploaded in 2023 still brings in money every month with zero extra work. Dozens of videos like this, each one turning simple stories, bright visuals and voiceovers into small digital assets. $6,000+ a month from a faceless kids channel running in the background. $42 spent on tools, $9,600+ made from content she didn’t even film herself. The best children’s channel is the one that works without needing you on camera.
0:16

19-year-old girl spent $42 and 30 minutes, then made $9,600 from children’s videos she never appeared in. 4,100,000 views on YouTube, no camera, no face, no editor. The entire channel was built around kids content. One video uploaded in 2023 still brings in money every month with zero extra work. Dozens of videos like this, each one turning simple stories, bright visuals and voiceovers into small digital assets. $6,000+ a month from a faceless kids channel running in the background. $42 spent on tools, $9,600+ made from content she didn’t even film herself. The best children’s channel is the one that works without needing you on camera.

Gipp 🦅

510,602 просмотров • 1 месяц назад

More than 6 years of mining and supporting the project,yet no token migration. Out of 47M users, barely 10M users migrated and most of them are locked till 2027. This isn’t a delay it’s a calculated scam, masked as innovation. They sold us dreams, gave us numbers on a screen and built a closed system to trap our time and data. No transparency, no freedom, no value. Just hype, control, and excuses. Pi Network is a deception years in the making.
0:12

More than 6 years of mining and supporting the project,yet no token migration. Out of 47M users, barely 10M users migrated and most of them are locked till 2027. This isn’t a delay it’s a calculated scam, masked as innovation. They sold us dreams, gave us numbers on a screen and built a closed system to trap our time and data. No transparency, no freedom, no value. Just hype, control, and excuses. Pi Network is a deception years in the making.

Honey

18,196 просмотров • 1 год назад

Nearly identical plays from Detroit and Philly, but the details make or break this. From the OL technique, to the footwork from the WR on the screen, plus the execution on the blocks. A lot goes into one play being a negative vs one play being a positive on the same exact play
0:17

Nearly identical plays from Detroit and Philly, but the details make or break this. From the OL technique, to the footwork from the WR on the screen, plus the execution on the blocks. A lot goes into one play being a negative vs one play being a positive on the same exact play

Nick Waters

23,086 просмотров • 8 месяцев назад