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🚀 Acceleration & Sprint Profiling – Made Simple! Inspired by the work of Ryan Grubbs dpfaff JB Morin Ken Clark, PhD James Wild Ryu Nagahara Helen Bayne ………… This 3-min video breaks down key metrics for 10-20m sprints (static or flying). Originally built for me to analyze teams faster,...

13,655 просмотров • 1 год назад •via X (Twitter)

Комментарии: 5

Фото профиля Coach Bott
Coach Bott1 год назад

@coachrgrubbs @PfaffSC @jb_morin @KenClarkSpeed @wildy_jj @R_Nagahara @HelenBayneZA Can I ask a dumb question 🙋‍♀️ Since sprinting is a motor skill when do we profile? I see people profiling kids that do not own any competence. Can you commment on that from your view? Thx! 🙏

Фото профиля Jonas Dodoo
Jonas Dodoo1 год назад

Never a stupid question from you @carmenbott Sprinting is motor skill but highly afforded by physical qualities. So I would profile from the beginning of a journey with any athlete. It costs me very little time, is embedded into a training session and creates the language and connection with the athlete between field and gym. Why would you not measure incompetent movers? They’re the best to show video to and illustrate good vs bad. They are the easiest to empower with better competence by using running gate as a vessel to understand hinging, pelvic control, trunk control, pretension , force direction, RFD, elasticity…. Etc. There is always so much low hanging fruit and low friction in general motor skills when physical conditioning is framed from running, stopping, jumping. No doubt kids and incompetent movers get faster easily by just getting stronger. I just prefer to create the lens for physical performance from the actions that dominate the sport. Captures the imagination of the player and empowers them way faster than an fms or equivalent. Thoughts?

Фото профиля ksminnovation
ksminnovation1 год назад

Dr. Tal Patalon explores how AI mega initiatives like the $500B Stargate project & AI-powered genomic analysis by Illumina & NVIDIA are transforming healthcare. @TalPatalon @forbes @edengallery_ #AIinHealthcare #PrecisionMedicine #Multiomics #HealthTech

Фото профиля Sam Becker
Sam Becker1 год назад

@coachrgrubbs @PfaffSC @jb_morin @KenClarkSpeed @wildy_jj @R_Nagahara @HelenBayneZA This is a super cool product. Being able to get all this data with just 1 camera is impressive. That being said, what’s the max sprint distance you can measure?

Фото профиля Jonas Dodoo
Jonas Dodoo1 год назад

@coachrgrubbs @PfaffSC @jb_morin @KenClarkSpeed @wildy_jj @R_Nagahara @HelenBayneZA Thanks a lot.👌🏾 20m per camera 📸 You can go from a static start or fly into the run. For team sports I get most of what I need from 20m sprint.

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SPRINT RSI! I bet this improves your coaching eye! Questions I am asking about my programs during running rehab. Do our improvement in “switching” transfer to better sprinting? Can I measure that? Do our improvement in strength/power increase PROJECTION (rebound height through minimum yield) Does improvement in calf ankle qualities improve reactivity (low ground time, low yield ankle , good postures) ? Throw back to Aspetar سبيتار On the weekend I shared a snippet of a project I have been running with our rehabbers! We see a great alignment between thigh angular velocity and SPRINT RSI. It’s a a great teaching and training tool to use before and during early running exposure. You get all of the intra /inter-limb sequencing, reflexive patterning and vertical forces whilst not having to deal with large eccentric forces on the hamstrings. The box height is important as a constraint to encourage rebound and height after hitting the floor. The knowledge of results (ground time/height) provides instant feedback, and is really useful for the rehabber to calibrate their execution. I need you guys to take this exercise and run with it. How do your lower limb rehabbers look when executing? Does your coaching, constraints or just exposure have positive impacts on sequencing and outputs? Keen to get your feedback! VALD Performance Sportsmith Matt ᴍᴀʀᴛɪɴ ʙᴜᴄʜʜᴇɪᴛ JB Morin ZENTRUM SPORT Sportsmith Ben Saldivar Areté Performance Areté Performance David Grey Rehab4Performance Colin Griffin @fred_duncan Dr John McMahon Science for Sport Fitfam_Sport_Conditioning Enda King PhD Roula Kotsifaki Running-Physio RunningMechanics Running.Physio Ryan Grubbs

Jonas Dodoo

19,192 просмотров • 1 год назад

😏Secrets of deceleration assessment… it’s not about the turn.🙋🏽‍♂️ For 15 years I have studied great coaches. A common thread has been that they all use intense actions as movement screens. Thus they have a great coaching eye. ❓Why intense actions? 🙋🏽‍♂️Analysis of sprinting, stoping , turning , hopping, jumping, cutting, backwards running opens a diagnostic window to assess how athletes create pretension and share load across their system. dpfaff has made this clear 🏥Be it for rehab (physios are coaches in my world) or for explosive sports. It’s the same screen, but through different lenses 🧐🤓 👀What are they looking at? 💡The same thing as you. 👀What do they SEE? 🤔Well that’s a different story. Damian Harper, PhD has set the scene for what metrics matter and Tom Dos'Santos has re-clarified the shapes that are safe vs effective for deceleration and COD. ↩️When you watch a 180 degree turn, all the focus is on the turn. Turning and being perturbed at speed is the ultimate speed ability for team sports and also a moment of tragedy for knees and hamstrings. To assess turning efficiency we use vuemotion to measure the shapes , velocities , decelerations and movement efficiency of team sports players. We create PSR reports to simplify the metrics and make it actionable for our clients across professional leagues. ⚽️🏀🏈🥎🎾🏉 📝The plant step is important but is highly impacted by the previous 1-5 steps. 🦘Just like in the Olympics. A good take off in the long jump is the result of the preceding 4-5 “steering steps”. This applies to any jumping when we are converting horizontal to vertical momentum… ❓Does it continue to happen in Braking, COD and agility… 💡These penultimate steps are critical for steering , and are how we constantly adjust our locomaotion. 📝Frans Bosch has made it clear, efficient execution of intense actions are characterised by optimal limb SWITCH and the associated reflexive postures of hip lock. 🤔What movement preference can be observed in the penultimate, antipenultimate, preantipenultimate , propreantipenultimate steps during an intense deceleration? 🤔What clues can you get about a players triple flexion ability? Do they share the load? 🤔How do they coordinate co contractions around hip and knee? Can they sit to create leverage? 🤔 What do asymmetries say about physical qualities and player confidence? 🧪When assessing deceleration for team sports we recognise the 15-0-5 for its maximal intensities but we utilise the 10-0-5 more often because we can get more reps and teaching moments out of it. Needless to say we love ᴍᴀʀᴛɪɴ ʙᴜᴄʜʜᴇɪᴛ new paper on the topic. Key Highlights: 🔹 Effective Pressing: Crucial for disrupting opponents and regaining possession, enhancing offensive opportunities. 🔹 Injury Risks: Pressing increases injury risks, particularly ACL injuries. 🔹 Realistic Training: We compared the 15-0-5 change of direction test with actual match-pressing actions to enhance testing and training realism. 🔹 Peak Speeds: Similar peak speeds in 15-0-5 and match-pressing actions validate the 15-0-5 as a practical tool for assessing and training pressing demands. 🔹 Future Directions (1): Incorporate variability in speed, angle of change in direction and deceleration demands, along with perception-action challenges for better simulation of game conditions. 🔹 Future Directions (2): Motorized sprint resistance devices can enhance assessment and training, providing valuable data for player development and injury prevention. #Football #SportsScience #Research #Training #InjuryPrevention #PerformanceOptimization #EliteAthletes

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20,553 просмотров • 10 месяцев назад

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13,696 просмотров • 8 месяцев назад

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Nityesh

36,790 просмотров • 3 месяцев назад

someone is going to make millions with this in 2026 99% of people think this is a real human (or they fail to notice it’s an ai-generated video) but this video is completely ai-generated, including the background music. let me teach you how to create this in a few minutes follow this workflow step by step: first, create the base image of your ai influencer using nb pro. this is currently the best tool for character consistency i used a json prompt to generate the base image then i turn it into video (i will share the exact json prompt with you in this thread) now, to generate the video paste this prompt into google veo using the “frame to video” option “a man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. he gestures naturally with one hand as he speaks in vintage tv broadcast aesthetic: "today is october 12th, 1985. what i'm about to tell you will sound impossible... but mark my words, these three predictions will come true. no background music, no sound effects” next, i gave it a chunk of script, i only changed the script dialogue each time and kept the rest of the prompt exactly the same using this method, you also get a little consintent voiceover here is the format for you to use: [character description] + [visual style] + [dialogue of your script for under 8 seconds] for example, for the next part dialogue; [A man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. He gestures naturally with one hand as he speaks in Vintage TV broadcast aesthetic: "but mark my words, these three predictions will come true... ONE: You will carry a device no bigger than a playing card that holds ten thousand songs" ] rest things i adjusted in the editing, now how to clone the audio for these several clips we just generated? i got the best audio from the very first clip i generated using veo 3 but here is the trick: - export that clip to a video editor - detach the audio of it - duplicate it to make it 10+ seconds long - clone the voice over using elevenlabs (go to 11Labs-> click on voices-> click on "create or clone a voice" button in the top right side) (i named mine “1985 ai influencer” inside 11labs) then, finally export all your video clips into your video editor detach the audios of all clips, and export it to 11Labs to clone it with that "1985 AI Influencer" voice once you dubbed it, import it back to your editor that’s it. there are endless use cases where you can use such an ai influencer like this to promote your biz: - skincare - weight loss & nutrition - psychology and mental health - marketing and sales - predictions (like this video) - making money & career growth - dating, parenting, and so on… there are a few people already started using such ai influencers, you are just behind them, you can find their pages on instagram don't be lazy, create one such an ai influencer for your targeted biz 2026 is going to be yours

ViralOps

14,371 просмотров • 9 месяцев назад

How to Build a Proper Product Page It breaks my heart every time I see someone from Brazil, making just $200 a month, spend $40 on a test ad only to get a $2 CPC. Then, they cut the ad at $35 spend with 17 clicks and 0 conversions. What’s even more frustrating is when I visit their site and see it’s a complete mess. It’s like they didn’t even try. That’s why I’m making this post. *Disclaimer: If you're building a brand, this isn’t for you. This is for testing products correctly with a website that’s good enough to convert, but if you’re serious about your brand, hire a Figma designer and a developer to get things done right. As a fun fact, I tested the following product myself (In the video below) and with just one click at a $3 CPC, I got a sale with an $80 AOV (100% CVR). I paused the ads because the CPMs hit $150. If you're interested, save this product for the future. I'll share the creatives i used to ran the product with those who comment below. "jordan, stop teaching high school kids about selling reps and getting them sued by Prada or other big brands, ruining their payment gateways, and crushing their dreams." (with 5 random people only will do it, wouldn't make sense for everyone to be ripping it). Shoutout to Adrian for this one. 🫡 Back to the important stuff: Let’s talk about creating a great product page. First off, ditch the “Buy Now” button. By using this, you miss out on the chance to increase your Average Order Value (AOV) through upsells during checkout. Instead, replace it with an “Add to Cart” button. Also, remove the quantity selector. Hardly anyone uses them on the product page, but they do in the cart. Instead, offer bundles, which you can set up using the Kaching Bundles app or your theme if it supports this feature. The cart experience is crucial, and you can optimize it using the UpCart app. Enable all its product page features so it takes over the standard Shopify cart or your theme’s cart. The built-in cart systems are outdated—they don’t allow upsells like UpCart does. Plus, UpCart directly opens the cart after a product is added, where the upsell option appears at the bottom, increasing your chances of boosting AOV. Pay attention to color schemes. Don’t use neutral colors for headers and buttons if your product features a primary color. A yellow jacket with a black header is like pizza with raspberry syrup—just doesn’t work. If your product images are gray, white, or black, match those with your headers and buttons. Otherwise, play around with colors to give your page some dynamic appeal. Bookmark this site to get color palettes that match your primary color. For exact color matches, download the "ColorZilla" extension, which gives you the exact color code of whatever is under your mouse on the screen. If your product color is #6E402A, you’ll know it and can match it perfectly with your header and buttons, creating a visually appealing contrast like Cider did here below. Right now, when some of you send me these websites, they look like government pages from the early 2000s. Next, consider the typography and button styles. For fonts, use Helvetica Regular for body text and Helvetica Bold for titles, both at a minimum size of 100%. It’s simple and effective. As for buttons, they should have a corner radius of 8px. To change these settings, go to the theme settings - typography/buttons and adjust the buttons and typography accordingly. Rounded buttons create a modern, inviting feel, while full square buttons can give off an outdated vibe. Even casinos in Vegas design their buildings with curves, ensuring that visitors always have a view angle that draws them back in—it’s all about keeping things appealing and engaging. Finally, the product page layout itself should be clean and concise. Use collapsible rows for your product descriptions. No one wants to read a novel, so keep it compact and focused. Images and videos are what sell—this is why we don’t use text-heavy images in our ads; they just bore people. Keep the description short, with enough information to inform but not overwhelm. If you need to include more features, put them in the FAQs section—that’s what they’re for. The goal is to make sure that the "Add to Cart" button is visible as soon as possible once the customer lands on the product page, without overwhelming them but providing just enough information—some key benefits, high-quality images, and buying options in the bundles. Once they hit the cart, the upsells will do their job. Remember, the three essential apps for setting this up are Loox Reviews for customer feedback (use the product widget reviews at the bottom of the page before the FAQs and the rating widget just above the title), Kaching Bundles for offering package deals, and UpCart for optimizing the cart experience. Just for the record, this is to help newcomers and guide them to something taht works, me personally i don't use free themes, but this one i created could convert easily if the product, offer and ads match well. Good luck and keep testing! 🗳🥂💸🤑

Zzzz

42,318 просмотров • 2 лет назад

COACHES ONLY: THIS IS WHY COACHING EXPERIENCE MATTERS This post is primarily for coaches. Before I get into my own analysis, I want to give Venom Reacts (VENOM 😈) full credit for the film breakdown that prompted this post. He did an excellent job slowing the possession down, identifying where the defensive action actually breaks, and explaining why the final matchup at the rim does not tell the whole story. If you have not watched his video yet, watch it first. His explanation is worth your time. What I want to add is another coaching perspective. If you have spent years completing USA Basketball education, PGC training, NABC development, certification requirements, clinics, continuing education, film study and the thousand other things serious coaches do to become better teachers of the game, watch this possession and tell me what you see. Because I see a coaching problem. Mercedes Russell navigates the low-post screen incorrectly. She goes over it when the coverage requires her to get underneath. That single mistake changes the geometry of the possession and leaves Caitlin Clark forced into an emergency switch against a center at the rim. By then, the defense is already compromised. Clark did not create the mismatch. She inherited it. Could Clark have handled the emergency differently? Coaches can debate that. Maybe there is a late communication, front, dig, foul or emergency rotation January wanted. But none of those possibilities change the first breakdown. Russell loses the coverage. Clark is left trying to survive it. Then watch the timeout. Briann January appears to direct an extremely animated correction toward Clark. Clark clearly disagrees. Stephanie White stands between them and allows the exchange to continue. Now forget personalities for a moment and evaluate this strictly as coaches. What are we trying to accomplish during that timeout? Indiana is protecting a double-digit lead with roughly four minutes remaining. Clark is having a career-level night. This is closing time. My timeout priorities are clock, score, personnel, foul situation, remaining timeouts, offensive organization, defensive coverage, anticipated counters and making absolutely certain my five players leave that huddle composed and connected. The previous possession gets corrected only to the extent necessary to prevent it from happening again: Mercedes, get under it. Caitlin, stay home unless she gets caught. Communicate it. Next play. That takes seconds. Everything else belongs in film. And even if Clark had been completely responsible for the breakdown... I don't believe she was... I still cannot understand using precious late-game timeout bandwidth to publicly unload on a player who is carrying your offense and playing one of the best games of her season. Experienced coaches understand the difference between correction and emotional discharge. We also understand the difference between being a great defender and teaching great team defense. Briann January was an outstanding individual defensive player. Seven All-Defensive selections deserve respect. But playing credentials are not coaching credentials. Her publicly documented coaching résumé remains remarkably thin for the responsibility she now carries: brief college assistant experience while still playing, a long gap, two seasons under Stephanie White in Connecticut, one G League season, and back to White in Indiana. No head-coaching experience. No associate head-coaching experience. No independently established defensive program. And I have found no publicly documented USA Basketball, PGC, NABC or comparable formal coaching credential attached to her résumé. That does not prove she has never completed additional training. It does raise a fair question experienced coaches will immediately understand: Where was the apprenticeship that taught the transition from elite individual defender to elite teacher of five-player defense? Because those are very different jobs. A great defender can solve problems with athleticism, anticipation, toughness and individual technique. A defensive coach has to diagnose the first breakdown, establish five-player rules, teach screen navigation, define switch triggers, organize help behind the action and communicate corrections in a way players can immediately execute. That is why this possession bothers me. It is not because a coach raised her voice. It is because the film appears to show the coach directing the most intense correction at the player who was cleaning up somebody else's mistake. Coaches: watch the play, not the personalities. Then watch the timeout. I would genuinely like to know what you see. X Video analysis credit: VENOM 😈 YouTube: @VenomReacts3

Sports Patriot

20,754 просмотров • 23 дней назад

Woot woot! THE BIG DAY IS HERE. Eddie AI v2! Download it: It’s been a sprint pace to cover a marathon distance. We launched Eddie AI v1 in October last year. Thousands of new users. Lots of feature requests. Learned a ton. (Yes, Paul Graham is right: ship early and often!) Eddie AI v2 releases three big advancements. And underpinning those decisions are the learnings baked in. 1. Eddie now runs locally on Macs and Windows. Our native apps are out of beta and available to everyone. Video is large. The video files used by video professionals are even larger. No one wants to wait around uploading. Native applications make it MUCH MUCH faster to import and thus much faster to get on with editing. One of the challenges with Eddie is how do we *quickly* get the user to aha – that moment where they can see the magic of this assistant AI video editor – if it takes awhile to upload files. These native applications are a big step towards getting to aha, swiftly, and help deliver on our promise to save customers time. 2. Analyze raw footage, aka logging interviews and B-rolls. Eddie v1 only created edits. But users were asking for a step before the edit too. They want their footage logged – what happened in this shot, who said what, etc – and grouped logically with this metadata back in their video editing application. We released a test of this a month ago. Users were blown away by the accuracy of the AI, the rich descriptions, and how the metadata seamlessly is sent to their video editing application where they can find the right shot when they need. We were blown away by the usage of this feature. Logging is now updated and released to all in v2. 3. Rough cut mode. This is the big dream: Eddie is the AI assistant video editor. There’s a lot of tedious work in video editing. Eddie takes it on. And helps you get to a great story faster. Sorting through hours of interviews and finding great soundbites that can be cut together to form a coherent story is a big step toward this dream. We attempted to do this in v1. But the prompt box was too open ended. People were typing in things like “Cut me a great story” and the subjectivity of the statement led to variable results. So we re-thought the story crafting process. We added friction. YES you read that correctly. We added friction into the product that slows the customer down. BUT they get much better results, reliably. And that trade-off is well worth it. Eddie now takes a step-by-step approach with you on crafting your story. It aligns with you on the story framework and then cuts chapter by chapter with your feedback. What used to take days, now takes minutes. We spent months hacking at LLMs to make them able to provide coherent edits over a longer duration and handle a large amount of source material (aka context-window problem). It’s ready for release. Version 2.0 is here. Download Eddie at

Shamir Allibhai

57,672 просмотров • 1 год назад

New short course: Vibe Coding 101 with Replit! Learn to build and host applications with an AI agent in this course, built in partnership with Replit ⠕ and taught by its President Michele Catasta and Head of Developer Relations . Coding agents are changing how we write code. "Vibe coding" refers to a growing practice where you might barely look at the generated code, and instead focus on the architecture and features of your application. However, contrary to popular belief, effectively coding this way isn't done by just prompting, accepting all recommendations, and hoping for the best. It requires structuring your work, refining your prompts, and having a systematic process that lead to a more efficient and effective workflow. I code frequently using LLMs, and asking an LLM to do everything in one shot usually does not work. I'll typically take a problem, partition it into manageable modules, spend time creating prompts to specify each module, and use the model to produce the code one module at a time, and test/debug each module before moving on. A process like this is making me and many other developers faster and more efficient. In this video-only course, you’ll learn how to use Replit’s cloud environment--with an integrated code editor, package manager, and deployment tools--to build and deploy web applications. Along the way, you’ll learn strategies for working effectively with agents and improve your development skills. In detail, you’ll: - Understand principles of agentic code development such as being precise, giving agents one task at a time, making prompts specific, keeping projects tidy, starting with fresh sessions for each new feature, and how to approach debugging. - Learn how to get started with Replit, and key skills for vibe coding: Thinking, using frameworks, checkpoints, debugging, and providing context. - Create a product requirement document (PRD) and wireframe for your agent to build a prototype of a website performance analyzer. - See how to use an agent to make your prototype more visually appealing, and deploy it application others to access . - Learn to build a head-to-head national park ranking app, from a sample dataset, with voting capabilities and persistent data storage, and refine further ask the assistant to recap and explain what it built to find room for improvement and reinforce your learning. By the end of this course, you’ll have a solid foundation in building with coding agents, and a process you can use to keep vibe coding effectively. Please sign up here:

Andrew Ng

753,361 просмотров • 1 год назад

The disgustingly simple framework behind my best performing thumbnails (1.7M, 1M views) This is the exact method I used for thumbnails on my best performing videos I call it the "analyze-recreate" method: 1. Search YouTube for your video title 2. Find the top performing video 3. Copy their thumbnail image 4. Send it to Claude/GPT with this prompt (steal this): ---- You are a YouTube thumbnail visual analysis expert. Analyze only what is visible in the provided thumbnail. Do not infer identities, brands, context, or any off-frame elements. Output must be plaintext and under 1800 characters. Keep it concise and directly usable for recreating a similar image. Important: Do NOT reference, describe, paraphrase, or characterize any text, typography, logos, watermarks, UI, arrows, icons, or other graphic design overlays. Focus only on the underlying photographic/illustrative scene and its composition. Cover exactly these sections: 1. Overall Style: mood, tone, realism level, and artistic approach (photo, 3D, illustration, composite). 2. Color Palette: 2–3 dominant colors and where they appear (brief; no hex). 3. Composition: camera angle/shot type (close/medium/wide), depth (foreground/mid/background), focal point, balance, and approximate % of frame occupied by each main scene element. 4. Main Subjects: describe visible characters/objects only, pose/expression, size relative to frame, and key environment/background elements. 5. Lighting & Post: lighting type and direction, shadow softness, contrast, depth of field, and noticeable post-processing (very short). 6. AI Prompt Suggestion: a compact generation prompt describing the scene + composition + mood + rendering style; do not list colors; do not include any text/logo/overlay instructions. Write the analysis now: ---- Paste the output into an AI image generator (Nano Banana, etc.) Add your text/graphics manually - I use autotube's built-in thumbnail designer which makes this easy The key is: you're recreating the image from scratch, not stealing. You're analyzing what works and building your own version - while avoiding copyright issues It might take 5-10 generations to nail it. Different AI models handle different styles better, so experiment YouTube is a game of copy/paste, so stick to what has been proven to work by your competitors instead of reinventing the wheel Shout out to the channels BEFORE CITIES, Woke up History, Sleepless Homo, Ancestor Vault among others, who were a big inspiration for this channel The above method was the one I used most of the time for Sleepy Time History, but recently I switched to something crazier: fully AI driven thumbnail generation. AI creates 5 thumbnails based on a "thumbnail design language" based on your channel's 15 best thumbnails So far so good, but this is more experimental, and mostly to save time while I focus on new channels I built autotube to automate the entire YouTube workflow: thumbnails, scripts, rendering, everything. Works well for sleep channels and other ai image/video slideshows. We're gradually opening up access. Link in bio

facelessjourney | YTA & SaaS

13,259 просмотров • 5 месяцев назад