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People are using Verdent to build projects that are both interesting and genuinely useful. Some are already using computer vision to empower the sports industry. Take this badminton video analysis demo. The result is not perfect: shuttle tracking jitters, speed is only estimated, and pose detection still needs real... show more

Verdent

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13,040 просмотров • 1 месяц назад •via X (Twitter)

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I challenged myself to build a real AI SaaS using just "one prompt". No infrastructure. No backend setup. No deployment. I described what I wanted, and naïve handled the rest—from cloud and database to authentication and payments. The result? A live app in minutes. This is one of the easiest ways I've seen to turn an idea into a working product. What would you build first?

I challenged myself to build a real AI SaaS using just "one prompt". No infrastructure. No backend setup. No deployment. I described what I wanted, and naïve handled the rest—from cloud and database to authentication and payments. The result? A live app in minutes. This is one of the easiest ways I've seen to turn an idea into a working product. What would you build first?

Mimu | AI Tools & News

17,767 просмотров • 1 месяц назад

Today, I had the privilege of speaking to the HUMAIN team at our CEO Townhall. I often say this, and I mean it deeply: I am living my dream... working in a country where energy goes beyond oil. It’s in the people, the ambition, and the belief in building a better future. Saudi Arabia is unlike anywhere else. The hospitality is second to none. The vision is bold. And the commitment to shaping the future is real. What we are building at HUMAIN is foundational. We are not only participating in the AI era, but redefining it. Shifting the narrative from experimentation to real value creation. But more importantly, we are not afraid to challenge what an organization should look like in an AI-native world. In fact, we are pioneering it. We are actively reshaping how we work: - Moving toward a future where AI agents do the work - Empowering our people to focus on high-value thinking, creativity, and decision-making - Building strong foundations in security, governance, and guardrails - Continuously enhancing our models, systems, and operating frameworks This is not theory. This is happening now. What I saw today from our teams gives me absolute confidence: - Products that are not just innovative, but game-changing - Teams building at a speed and quality that challenge global norms - A culture focused on execution, ownership, and impact At #LEAP2026 this year, we will go beyond vision. We will show: Real demos. Real products. Some of them are a first of their kind in the world. And they are built right here in Saudi Arabia. I could not be more proud of this team. What they have accomplished in such a short time is remarkable. This is just the beginning. The future is not something we wait for. It’s something we build. #HUMAIN #LEAP #TheEndOfLimits #AI

Today, I had the privilege of speaking to the HUMAIN team at our CEO Townhall. I often say this, and I mean it deeply: I am living my dream... working in a country where energy goes beyond oil. It’s in the people, the ambition, and the belief in building a better future. Saudi Arabia is unlike anywhere else. The hospitality is second to none. The vision is bold. And the commitment to shaping the future is real. What we are building at HUMAIN is foundational. We are not only participating in the AI era, but redefining it. Shifting the narrative from experimentation to real value creation. But more importantly, we are not afraid to challenge what an organization should look like in an AI-native world. In fact, we are pioneering it. We are actively reshaping how we work: - Moving toward a future where AI agents do the work - Empowering our people to focus on high-value thinking, creativity, and decision-making - Building strong foundations in security, governance, and guardrails - Continuously enhancing our models, systems, and operating frameworks This is not theory. This is happening now. What I saw today from our teams gives me absolute confidence: - Products that are not just innovative, but game-changing - Teams building at a speed and quality that challenge global norms - A culture focused on execution, ownership, and impact At #LEAP2026 this year, we will go beyond vision. We will show: Real demos. Real products. Some of them are a first of their kind in the world. And they are built right here in Saudi Arabia. I could not be more proud of this team. What they have accomplished in such a short time is remarkable. This is just the beginning. The future is not something we wait for. It’s something we build. #HUMAIN #LEAP #TheEndOfLimits #AI

Tareq Amin

17,856 просмотров • 3 месяцев назад

“This is hard. It’s not an easy business… I’m trying to build a combat sports ecosystem, not just a promotion, and that takes time. Time is not our friend, and we’ve got to ramp up awareness of the PFL, but there are interesting ways to do that.” John Martin on his first 6 months as PFL CEO.

“This is hard. It’s not an easy business… I’m trying to build a combat sports ecosystem, not just a promotion, and that takes time. Time is not our friend, and we’ve got to ramp up awareness of the PFL, but there are interesting ways to do that.” John Martin on his first 6 months as PFL CEO.

Ariel Helwani

17,965 просмотров • 4 месяцев назад

Every solution to conflict that people are using is ChatGPT, friends, therapists, but the issue is that they only hear one side of the conflict, so both people feel ‘validated’ in opposite directions and nothing actually gets resolved I built the fix: - Both people enter a private session - AI sits in the middle in real time - Filters reactivity out before the other person sees it - Emotion check-ins, escalation detection - Agreement builder + resolution summary

Every solution to conflict that people are using is ChatGPT, friends, therapists, but the issue is that they only hear one side of the conflict, so both people feel ‘validated’ in opposite directions and nothing actually gets resolved I built the fix: - Both people enter a private session - AI sits in the middle in real time - Filters reactivity out before the other person sees it - Emotion check-ins, escalation detection - Agreement builder + resolution summary

Mika

32,231 просмотров • 5 месяцев назад

Occupying entire seats like bulls is a serious problem in Indian trains. People lie down and take up the whole seat, using illness as an excuse. If you are that sick, book an ambulance and take them to a hospital. Trains are public transport. A seat meant for 4 people cannot be occupied by just 1 person. These are the real everyday issues that should be discussed. But first, people would have to get free from endless debates about temples and mosques.

Occupying entire seats like bulls is a serious problem in Indian trains. People lie down and take up the whole seat, using illness as an excuse. If you are that sick, book an ambulance and take them to a hospital. Trains are public transport. A seat meant for 4 people cannot be occupied by just 1 person. These are the real everyday issues that should be discussed. But first, people would have to get free from endless debates about temples and mosques.

Oppressor

276,248 просмотров • 4 месяцев назад

In a $4.5T industry where over 50 new Tech roles open every year some still believe in scarcity. I personally think empowering young Africans to take advantage of the opportunities is not a bad idea. “Job no Dey but people sign multi million contracts everyday” Are some Threatened by competition? What are your thoughts on this video👨🏽‍💻

In a $4.5T industry where over 50 new Tech roles open every year some still believe in scarcity. I personally think empowering young Africans to take advantage of the opportunities is not a bad idea. “Job no Dey but people sign multi million contracts everyday” Are some Threatened by competition? What are your thoughts on this video👨🏽‍💻

Tech_baby

23,035 просмотров • 6 месяцев назад

Saw this video compilation on tiktok about Malaysian players defending style. Especially the dive, the sitting, and the lying down. It may not be the best (defending way) one, but certainly the most entertaining to watch. Also it is painful and dangerous. Makes you think, why would they go all the way to that extend, just return that shuttle. Lee Yong Dae 🗣️: 🇮🇩 is detailed one 🇰🇷 is powerful one 🇨🇳 has the speed 🇲🇾 has the defense “They (Malaysian) scoop the shuttle like a spoon.” “All of them did that.” 📸: Tiktok @/Jahzabby #BadmintonMalaysia

Saw this video compilation on tiktok about Malaysian players defending style. Especially the dive, the sitting, and the lying down. It may not be the best (defending way) one, but certainly the most entertaining to watch. Also it is painful and dangerous. Makes you think, why would they go all the way to that extend, just return that shuttle. Lee Yong Dae 🗣️: 🇮🇩 is detailed one 🇰🇷 is powerful one 🇨🇳 has the speed 🇲🇾 has the defense “They (Malaysian) scoop the shuttle like a spoon.” “All of them did that.” 📸: Tiktok @/Jahzabby #BadmintonMalaysia

Giarc Nibisna 🌺🇲🇾

259,930 просмотров • 2 лет назад

There is no way that ethnic tensions could be as pronounced as they currently are without a lot of deep sin going into the generation of those tensions. But ethnic tensions are not the result of a white person waking up one day and thinking he needs to start despising people who are darker than he is. Neither is it the result of black people suddenly lurching into a policy of violence and mayhem. There are two errors to avoid when it comes to the kind of repentance that is needed in an hour like ours. One is to approach the whole thing in a simplistic spirit, calling for people to repent of all their behavior, but only starting at the precise moment the rioting started. But repentance is also needed for all the decisions and policies that led to the conditions that made the rioting seem like a reasonable way out. It isn’t, but why do people come to believe that? The second mistake is that of starting at the wrong end—this happens when we start by confessing the sins of the other guy. That gets us nowhere, and just perpetuates the conflict. You can confess other people’s sins all day long and your joy will not come back.

There is no way that ethnic tensions could be as pronounced as they currently are without a lot of deep sin going into the generation of those tensions. But ethnic tensions are not the result of a white person waking up one day and thinking he needs to start despising people who are darker than he is. Neither is it the result of black people suddenly lurching into a policy of violence and mayhem. There are two errors to avoid when it comes to the kind of repentance that is needed in an hour like ours. One is to approach the whole thing in a simplistic spirit, calling for people to repent of all their behavior, but only starting at the precise moment the rioting started. But repentance is also needed for all the decisions and policies that led to the conditions that made the rioting seem like a reasonable way out. It isn’t, but why do people come to believe that? The second mistake is that of starting at the wrong end—this happens when we start by confessing the sins of the other guy. That gets us nowhere, and just perpetuates the conflict. You can confess other people’s sins all day long and your joy will not come back.

Douglas Wilson

73,863 просмотров • 10 месяцев назад

AI TENNIS ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, PYTORCH, AND KEYPOINT EXTRACTION. Take any tennis match broadcast, any camera angle, any resolution. Feed it into the pipeline. YOLO detects both players and the tennis ball frame by frame. No manual labeling, no pre-annotated dataset. A fine-tuned YOLOv5 model trained on a Roboflow tennis ball dataset handles the ball - the hardest object to track in any sport. Tiny, fast, constantly occluded. The model finds it anyway. Trackers maintain identity across frames so Player 1 stays Player 1 from the first serve to match point. But detection is just the start. A ResNet50 CNN trained in PyTorch predicts court keypoints from every frame - the corners, service lines, baselines, net posts. Fourteen points that define the entire playing surface geometry. From those keypoints the system builds a homography matrix and warps the broadcast perspective into a top-down mini court with real coordinates. Now every player has a position in real space, not pixel space. Every frame becomes a measurement. Every rally becomes a dataset. Player movement speed - calculated from position deltas between frames, converted to meters per second through the homography. Ball shot speed - measured from the ball trajectory across consecutive detections. Number of shots per rally - counted automatically through ball direction changes. All of this rendered live on the video as an overlay. A mini court in the corner showing both players as dots moving in real time. Stats updating after every point. OpenCV handles the rendering. Pandas handles the math. PyTorch handles the intelligence. YOLO handles the eyes. No Hawkeye subscription, no court-embedded sensors, no tracking chips in the ball. A Python script, a trained model, and a GPU. The full code is on GitHub. The tutorial walks through every module - from ball detector training to court keypoint extraction to the final statistical overlay. Professional teams used to need broadcast deals and proprietary hardware for this kind of analysis. Now you build it in an afternoon with open-source tools. Trading here: Computer vision didn't just enter tennis. It made the expensive stuff free.

AI TENNIS ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, PYTORCH, AND KEYPOINT EXTRACTION. Take any tennis match broadcast, any camera angle, any resolution. Feed it into the pipeline. YOLO detects both players and the tennis ball frame by frame. No manual labeling, no pre-annotated dataset. A fine-tuned YOLOv5 model trained on a Roboflow tennis ball dataset handles the ball - the hardest object to track in any sport. Tiny, fast, constantly occluded. The model finds it anyway. Trackers maintain identity across frames so Player 1 stays Player 1 from the first serve to match point. But detection is just the start. A ResNet50 CNN trained in PyTorch predicts court keypoints from every frame - the corners, service lines, baselines, net posts. Fourteen points that define the entire playing surface geometry. From those keypoints the system builds a homography matrix and warps the broadcast perspective into a top-down mini court with real coordinates. Now every player has a position in real space, not pixel space. Every frame becomes a measurement. Every rally becomes a dataset. Player movement speed - calculated from position deltas between frames, converted to meters per second through the homography. Ball shot speed - measured from the ball trajectory across consecutive detections. Number of shots per rally - counted automatically through ball direction changes. All of this rendered live on the video as an overlay. A mini court in the corner showing both players as dots moving in real time. Stats updating after every point. OpenCV handles the rendering. Pandas handles the math. PyTorch handles the intelligence. YOLO handles the eyes. No Hawkeye subscription, no court-embedded sensors, no tracking chips in the ball. A Python script, a trained model, and a GPU. The full code is on GitHub. The tutorial walks through every module - from ball detector training to court keypoint extraction to the final statistical overlay. Professional teams used to need broadcast deals and proprietary hardware for this kind of analysis. Now you build it in an afternoon with open-source tools. Trading here: Computer vision didn't just enter tennis. It made the expensive stuff free.

zostaff

120,370 просмотров • 3 месяцев назад

"What happened to Campbell’s this week is symptomatic of a much broader problem in the food industry. Some consumers genuinely believed the company was using “bioengineered chicken” and “3D-printed meat”—whatever that’s supposed to mean. With food prices rising, people are increasingly suspicious of how their food is made. The landscape has changed, and some companies are clearly not prepared for this new level of scrutiny."

"What happened to Campbell’s this week is symptomatic of a much broader problem in the food industry. Some consumers genuinely believed the company was using “bioengineered chicken” and “3D-printed meat”—whatever that’s supposed to mean. With food prices rising, people are increasingly suspicious of how their food is made. The landscape has changed, and some companies are clearly not prepared for this new level of scrutiny."

The Food Professor

64,309 просмотров • 8 месяцев назад

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

AI BASKETBALL ANALYSIS. A FULL COMPUTER VISION SYSTEM. BUILT ON YOLO, OPENCV, AND PYTHON. Take any NBA broadcast. Any camera angle. Any resolution. Feed it into the system. YOLO finds every player and the ball. Frame by frame. No manual annotation. No pre-labeled data.The model just sees the court and understands it. Zero-shot classification looks at jersey pixels and decides who plays for whom. Two teams separated in milliseconds. Without ever being told the team names. But here's where it gets wild. Court keypoint detection identifies the geometry of the playing surface. Homography transforms the broadcast camera into a top-down tactical map. Real meters. Real coordinates. From a flat 2D video. Now every player has a position on a real court. Every movement becomes a data point. Every pass becomes a vector. Speed. Distance. Possession time. Pass networks. All extracted from nothing but pixels. No GPS. No chips in the ball. No million-dollar Second Spectrum setup. A Python script and a GPU. The full pipeline is open source. The tutorial walks through every line of code. From detection to transformation to analytics output. Teams used to pay six figures for this data. Now you build it in an afternoon. Computer vision didn't just enter basketball. It democratized it.

zostaff

230,194 просмотров • 3 месяцев назад

Thought-Controlled Robotics is now very real and it's happening with Neuralink Neuralink recipients are already playing multiplayer video games with their minds, not with their hands, but with pure thought A paralyzed Neuralink patient, Alex Conley, just controlled a robotic arm using only his thoughts - then piloted a drone with his mind Meanwhile, another patient, Jon L. Noble, is now playing World of Warcraft hands-free using only brain signals People who were once completely paralyzed are now interacting with the physical and digital world using nothing but their thoughts The Neuralink implant has given them a second chance at life, restoring independence they had lost Elon did not just build a company. He gave people their lives back and giving them hope for a second chance at life

Thought-Controlled Robotics is now very real and it's happening with Neuralink Neuralink recipients are already playing multiplayer video games with their minds, not with their hands, but with pure thought A paralyzed Neuralink patient, Alex Conley, just controlled a robotic arm using only his thoughts - then piloted a drone with his mind Meanwhile, another patient, Jon L. Noble, is now playing World of Warcraft hands-free using only brain signals People who were once completely paralyzed are now interacting with the physical and digital world using nothing but their thoughts The Neuralink implant has given them a second chance at life, restoring independence they had lost Elon did not just build a company. He gave people their lives back and giving them hope for a second chance at life

X Freeze

24,904 просмотров • 1 месяц назад

Who's Into Polyamory? Polyamory gets stereotyped a lot, but the people drawn to it are not all one type. The more interesting question is why some people are willing to question the relationship script they were handed. This video isn’t about saying polyamory is better or monogamy is outdated. It’s about looking at why some people choose different structures, what that requires emotionally, and why “normal” is not always the same thing as “right for you.”

Who's Into Polyamory? Polyamory gets stereotyped a lot, but the people drawn to it are not all one type. The more interesting question is why some people are willing to question the relationship script they were handed. This video isn’t about saying polyamory is better or monogamy is outdated. It’s about looking at why some people choose different structures, what that requires emotionally, and why “normal” is not always the same thing as “right for you.”

Kate Shelor

18,625 просмотров • 8 дней назад

Does anyone want to join a digital book club dedicated to studying the great texts of Western Civilization? Right now, we are working through Homer's Iliad. We live in a time of noise, speed, and amnesia. Few remember where we came from, and fewer still care to ask. But without memory, a culture dies. This is a home for readers who still believe that ideas matter. That Plato has more to teach us than TikTok. That Augustine, Dante, Shakespeare, and Dostoevsky are not just names in a syllabus — they are guides to a deeper and more ordered life. In this club there are no grades, no credentials, no status games. Just a community of readers serious about recovering what’s been lost — and using it to build something better. Join us (link below)...

Does anyone want to join a digital book club dedicated to studying the great texts of Western Civilization? Right now, we are working through Homer's Iliad. We live in a time of noise, speed, and amnesia. Few remember where we came from, and fewer still care to ask. But without memory, a culture dies. This is a home for readers who still believe that ideas matter. That Plato has more to teach us than TikTok. That Augustine, Dante, Shakespeare, and Dostoevsky are not just names in a syllabus — they are guides to a deeper and more ordered life. In this club there are no grades, no credentials, no status games. Just a community of readers serious about recovering what’s been lost — and using it to build something better. Join us (link below)...

Athenaeum Book Club

43,872 просмотров • 1 год назад

3/6 Although Mooney is certainly not the tallest player, he is still male (women are not short men) and displays the same strength and speed of any other average male. Mooney's presence on the team is not only unfair, it presents a safety issue as well. Injuries by men on women's teams are not an "if it happens" risk, they are a "when it happens" guarantee. In this case, it already has, multiple times. Watch him chase down and slam another woman to the ground here:

3/6 Although Mooney is certainly not the tallest player, he is still male (women are not short men) and displays the same strength and speed of any other average male. Mooney's presence on the team is not only unfair, it presents a safety issue as well. Injuries by men on women's teams are not an "if it happens" risk, they are a "when it happens" guarantee. In this case, it already has, multiple times. Watch him chase down and slam another woman to the ground here:

HeCheated.org

134,967 просмотров • 1 год назад

One decision can change the entire course of your life. If you’re a Nigerian student and you’ve been thinking about applying for the OPay National Innovation Challenge 2026, this is your sign to stop waiting and take that final leap of faith. I made this video to show you how to complete your application in just a few minutes. From using Gemini to generate ideas to the final submission. In partnership with Google and 3MTT, OPay is giving Nigerian students a chance to learn, innovate, compete, and win. Your idea doesn’t have to be perfect, it just needs to solve an important problem. Applications are still open till July 3rd. All the best.

One decision can change the entire course of your life. If you’re a Nigerian student and you’ve been thinking about applying for the OPay National Innovation Challenge 2026, this is your sign to stop waiting and take that final leap of faith. I made this video to show you how to complete your application in just a few minutes. From using Gemini to generate ideas to the final submission. In partnership with Google and 3MTT, OPay is giving Nigerian students a chance to learn, innovate, compete, and win. Your idea doesn’t have to be perfect, it just needs to solve an important problem. Applications are still open till July 3rd. All the best.

Tunde Onakoya

15,320 просмотров • 1 месяц назад

🔥 Some projects create hype, but only a few focus on building something meaningful. GEORGE is one of those projects pushing the boundaries of Web3 with a powerful ecosystem combining GameFi, staking, AI powered tools, market intelligence, and real utility. The vision, dedication, and ambition behind George are truly impressive. They are not just creating another token, they are building an entire ecosystem designed for long term growth and adoption. With strong innovation, a clear mission, and a team focused on delivering real value, $GEORGE is a project that deserves serious attention. Don’t miss what they are building. Keep an eye on George because this journey is just getting started. 🚀🔥 X: Web:

🔥 Some projects create hype, but only a few focus on building something meaningful. GEORGE is one of those projects pushing the boundaries of Web3 with a powerful ecosystem combining GameFi, staking, AI powered tools, market intelligence, and real utility. The vision, dedication, and ambition behind George are truly impressive. They are not just creating another token, they are building an entire ecosystem designed for long term growth and adoption. With strong innovation, a clear mission, and a team focused on delivering real value, $GEORGE is a project that deserves serious attention. Don’t miss what they are building. Keep an eye on George because this journey is just getting started. 🚀🔥 X: Web:

Sol Queen 👑

155,900 просмотров • 16 дней назад

I've seen some people ask how the Noxus Portal in Arena is made, so here is how! It is using a stencil mask (very similar to a Photoshop Layer Mask) to hide geometry that is placed in front and behind it to fake a parallax effect. This video shows with and without the stencil enabled. The reflection layers are in the front, while the several flat environment layers are in the back.

I've seen some people ask how the Noxus Portal in Arena is made, so here is how! It is using a stencil mask (very similar to a Photoshop Layer Mask) to hide geometry that is placed in front and behind it to fake a parallax effect. This video shows with and without the stencil enabled. The reflection layers are in the front, while the several flat environment layers are in the back.

Sirhaian

356,232 просмотров • 1 год назад

AN OXFORD STUDENT IS RUNNING A PARTICLE SIMULATION WITH REAL PEOPLE'S NAMES AND CLAIMS CERN IS TAUNTING HIM THROUGH THE CODE Thousands of particles on a black screen - each one labeled with a real person's name - moving according to the laws of physics in real time and he is completely convinced this is not a simulation but a personal message from CERN directed at him specifically. Particle simulation with collision detection, velocity vectors and brownian motion - technically flawless code that tracks every particle individually and renders trajectories at 60 fps. CERN operates a 17km collider that accelerates protons to 99.9999991% the speed of light and generates a petabyte of data every single day - and apparently found the time to encode Oxford student names into a simulation. The code is real. The physics is correct. The conclusions are a separate conversation.

AN OXFORD STUDENT IS RUNNING A PARTICLE SIMULATION WITH REAL PEOPLE'S NAMES AND CLAIMS CERN IS TAUNTING HIM THROUGH THE CODE Thousands of particles on a black screen - each one labeled with a real person's name - moving according to the laws of physics in real time and he is completely convinced this is not a simulation but a personal message from CERN directed at him specifically. Particle simulation with collision detection, velocity vectors and brownian motion - technically flawless code that tracks every particle individually and renders trajectories at 60 fps. CERN operates a 17km collider that accelerates protons to 99.9999991% the speed of light and generates a petabyte of data every single day - and apparently found the time to encode Oxford student names into a simulation. The code is real. The physics is correct. The conclusions are a separate conversation.

Noisy

5,716,810 просмотров • 2 месяцев назад