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NFL Draft Prospect Matt Morrissey Quarterback @ Eastern Kentucky Pro Day Throwing stats 43 for 44 Height & Weight 6'4.5" 230 lbs Hands 10" Agent: John Vaughan (Select 1 Sports) (Full Pro day video with every throw linked below)

Matt Morrissey

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25,714 views • 1 year ago •via X (Twitter)

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2025 Draft Prospect Film -Quarterback, Eastern Kentucky -6’5 230 lbs -2024 UAC All-Conference -2023 Missouri Valley All-Conference -2021 Juco All-American & All-Conference -Full Tape linked below

2025 Draft Prospect Film -Quarterback, Eastern Kentucky -6’5 230 lbs -2024 UAC All-Conference -2023 Missouri Valley All-Conference -2021 Juco All-American & All-Conference -Full Tape linked below

Matt Morrissey

12,364 views • 1 year ago

From NDSU Football Pro Day: Cole Payton (Cole Payton) shares what the pre-draft process has been like and what is next - off to Pittsburgh for a workout Payton's Pro Day measurables (per NDSU): Hand: 10” Arm: 33” Wing: 78 1/2” Height: 6’2 3/8” Weight: 237 lbs Bench: DNP Vertical: DNP Broad: DNP video: Aaron Walling

From NDSU Football Pro Day: Cole Payton (Cole Payton) shares what the pre-draft process has been like and what is next - off to Pittsburgh for a workout Payton's Pro Day measurables (per NDSU): Hand: 10” Arm: 33” Wing: 78 1/2” Height: 6’2 3/8” Weight: 237 lbs Bench: DNP Vertical: DNP Broad: DNP video: Aaron Walling

Ryan Bowlin

37,656 views • 6 months ago

Shedeur Sanders was criticized for weeks leading up to the 2025 NFL draft for patting the ball before every throw. “He needs to stop patting the ball.” “That patting the ball stuff won’t work in the NFL.” “All of that patting the ball will lead to sacks in the NFL.” “Shedeur does not have an NFL quality release. He pats the ball before every throw. He’ll never succeed in the NFL with that habit.” This was being printed all over the place leading up to the 2025 NFL Draft. I opened X today, and here was the TOP TRENDING STORY: Fernando Mendoza DOMINATES at Indiana’s Pro Day. I pulled up live videos of his performance, and guess what jumped off the SCREEN: He PATS THE BALL BEFORE EVERY THROW. I have not seen ONE article. I have not seen ONE quote from an anonymous GM. I have not seen one statement from an unnamed NFL source….regarding his slow delivery, or his patting the ball! You folks are NOT ready to have the difficult conversation about how the racist sports media in America handles black Quarterbacks coming out of college vs. how they handle white Quarterbacks coming out of college!

Shedeur Sanders was criticized for weeks leading up to the 2025 NFL draft for patting the ball before every throw. “He needs to stop patting the ball.” “That patting the ball stuff won’t work in the NFL.” “All of that patting the ball will lead to sacks in the NFL.” “Shedeur does not have an NFL quality release. He pats the ball before every throw. He’ll never succeed in the NFL with that habit.” This was being printed all over the place leading up to the 2025 NFL Draft. I opened X today, and here was the TOP TRENDING STORY: Fernando Mendoza DOMINATES at Indiana’s Pro Day. I pulled up live videos of his performance, and guess what jumped off the SCREEN: He PATS THE BALL BEFORE EVERY THROW. I have not seen ONE article. I have not seen ONE quote from an anonymous GM. I have not seen one statement from an unnamed NFL source….regarding his slow delivery, or his patting the ball! You folks are NOT ready to have the difficult conversation about how the racist sports media in America handles black Quarterbacks coming out of college vs. how they handle white Quarterbacks coming out of college!

Hovah76

987,830 views • 6 months ago

🚨"NFL Spotlight" featuring #Broncos DL Zach Allen, One of the NFL's most underrated DL and a key piece of Denver's defensive success: Links: A: S: YT: FULL VIDEO + TIMESTAMPS👇 (0:41) Intro (1:49) Zach Allen joins the show (2:48) Almost committing to baseball (5:10) Reflecting on high school career & Lou Marinelli (7:07) Playing at Boston College (9:21) Draft process & falling to the 3rd round (13:49) Early years with the Cardinals (15:31) Rookie season neck injury (18:16) Learning from J.J. Watt (24:01) Free agency and signing with the Broncos (26:31) First season in Denver & reuniting with Vance Joseph (30:29) Zach on his stamina & high snap count (32:12) Handling double teams (34:22) Preferred position: EDGE or interior? (35:37) All-Pro recognition but not a Pro Bowler (38:17) Playing with Pat Surtain (39:39) Who deserves more recognition? (43:08) Expectations for the Broncos in 2025

🚨"NFL Spotlight" featuring #Broncos DL Zach Allen, One of the NFL's most underrated DL and a key piece of Denver's defensive success: Links: A: S: YT: FULL VIDEO + TIMESTAMPS👇 (0:41) Intro (1:49) Zach Allen joins the show (2:48) Almost committing to baseball (5:10) Reflecting on high school career & Lou Marinelli (7:07) Playing at Boston College (9:21) Draft process & falling to the 3rd round (13:49) Early years with the Cardinals (15:31) Rookie season neck injury (18:16) Learning from J.J. Watt (24:01) Free agency and signing with the Broncos (26:31) First season in Denver & reuniting with Vance Joseph (30:29) Zach on his stamina & high snap count (32:12) Handling double teams (34:22) Preferred position: EDGE or interior? (35:37) All-Pro recognition but not a Pro Bowler (38:17) Playing with Pat Surtain (39:39) Who deserves more recognition? (43:08) Expectations for the Broncos in 2025

Ari Meirov

598,696 views • 1 year ago

I CAN'T BELIEVE MY $1,000 IS NOW $101,607, JEV + MY GROK BOTS DID 100X IN 10 NIGHTS AND I SLEPT THROUGH EVERY F*CKING TRADE ten days ago i handed six Grok bots $1,000, Jev chooses the coin for them every night i made one rule, hands off, i only get to read the morning number here is every morning so far: → day 1 $3,833.92 → day 2 $9,118.21 → day 3 $12,539.36 → day 4 $20,974.63 → day 5 $31,042.45 → day 6 $44,198.24 → day 7 $55,773.76 → day 8 $73,470.77 → day 9 $86,695.51 → day 10 $101,607.14 nothing was ever reset for night ten Jev went through 86 coins and kept one, Super Inu it ran from $40.17M to $70.45M by lunch, then crashed to $36.98M at midnight holders who sat through all of it made 6.3% and got their heart broken twice the bots traded that same chart seven times and made $14,911.63 the biggest one was 9:20am, in at $44.84M, out at $63.15M, +$4,123.63 the last one sold at 5:20am, an hour later the coin was back at $42.70M that sale is the one that pushed the profit past $100K i found out from a notification, half awake one bot on the video says it better: size: the bank is past 98K, 1000 was day one $1,000 → $101,607.14, and i have not pressed buy once the video is the real desk, every bot, every coin it threw out the full setup is in my article below ↓ free bookmark this for the day you want to buy a coin after it pumped send it to that friend who still trades by hand at 3am what would you do with the first $100K, cash out or let the bots keep going?

I CAN'T BELIEVE MY $1,000 IS NOW $101,607, JEV + MY GROK BOTS DID 100X IN 10 NIGHTS AND I SLEPT THROUGH EVERY F*CKING TRADE ten days ago i handed six Grok bots $1,000, Jev chooses the coin for them every night i made one rule, hands off, i only get to read the morning number here is every morning so far: → day 1 $3,833.92 → day 2 $9,118.21 → day 3 $12,539.36 → day 4 $20,974.63 → day 5 $31,042.45 → day 6 $44,198.24 → day 7 $55,773.76 → day 8 $73,470.77 → day 9 $86,695.51 → day 10 $101,607.14 nothing was ever reset for night ten Jev went through 86 coins and kept one, Super Inu it ran from $40.17M to $70.45M by lunch, then crashed to $36.98M at midnight holders who sat through all of it made 6.3% and got their heart broken twice the bots traded that same chart seven times and made $14,911.63 the biggest one was 9:20am, in at $44.84M, out at $63.15M, +$4,123.63 the last one sold at 5:20am, an hour later the coin was back at $42.70M that sale is the one that pushed the profit past $100K i found out from a notification, half awake one bot on the video says it better: size: the bank is past 98K, 1000 was day one $1,000 → $101,607.14, and i have not pressed buy once the video is the real desk, every bot, every coin it threw out the full setup is in my article below ↓ free bookmark this for the day you want to buy a coin after it pumped send it to that friend who still trades by hand at 3am what would you do with the first $100K, cash out or let the bots keep going?

savip.

18,699 views • 7 days ago

🧵There's a small-school RB seemingly every year that ends up getting drafted Day 3 and making an impact as rookie. Two years ago it was Jaleel McLaughlin with Broncos and Dylan Laube appears on-track for a role this year based off early reports from Raiders camp. 𝐖𝐡𝐨'𝐬 𝐭𝐡𝐚𝐭 𝐠𝐮𝐲 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓 𝐝𝐫𝐚𝐟𝐭 𝐜𝐲𝐜𝐥𝐞? Panini Senior Bowl is calling our shot early on Delaware RB Marcus Yarns. The biggest thing that usually separates guys that fall into "good college back"' category (and there's tons of those!) and legit pro prospects is how explosive they are. Believe us, Yarns (5102v, 185v, 31 arm, 8 5/8 hand) has NFL juice. 🧃 Springy athlete runs with low pad level and natural lean, which you can see from rewind-worthy below 👇. While he lacks ideal size, Yarns' excellent contact balance gives him a real sturdiness that will translate at the next level. Checkout next clip to see why we think marcus yarns will be favorite of NFL offensive coordinators during pre-draft process... 🧵1/2 #TheDraftStartsInMOBILE™️

🧵There's a small-school RB seemingly every year that ends up getting drafted Day 3 and making an impact as rookie. Two years ago it was Jaleel McLaughlin with Broncos and Dylan Laube appears on-track for a role this year based off early reports from Raiders camp. 𝐖𝐡𝐨'𝐬 𝐭𝐡𝐚𝐭 𝐠𝐮𝐲 𝐟𝐨𝐫 𝟐𝟎𝟐𝟓 𝐝𝐫𝐚𝐟𝐭 𝐜𝐲𝐜𝐥𝐞? Panini Senior Bowl is calling our shot early on Delaware RB Marcus Yarns. The biggest thing that usually separates guys that fall into "good college back"' category (and there's tons of those!) and legit pro prospects is how explosive they are. Believe us, Yarns (5102v, 185v, 31 arm, 8 5/8 hand) has NFL juice. 🧃 Springy athlete runs with low pad level and natural lean, which you can see from rewind-worthy below 👇. While he lacks ideal size, Yarns' excellent contact balance gives him a real sturdiness that will translate at the next level. Checkout next clip to see why we think marcus yarns will be favorite of NFL offensive coordinators during pre-draft process... 🧵1/2 #TheDraftStartsInMOBILE™️

Jim Nagy

239,086 views • 2 years ago

I've used OpenClaw every single day for 50+ days. Through ClawdBot. Through MoltBot. Through the rebrand and OpenAI partnership. I made the setup video in the official docs. I built Clawdiverse. I contributed a skill to ClawHub. Nobody else can tell you what happens after the first month. Here's everything I learned: 20 real use cases, what actually breaks, and every prompt to set them up yourself: 0:00 Nobody has been here for 50 days yet 1:02 What is OpenClaw? 1:49 What 50 days actually looks like 4:53 #1 Morning briefing 5:54 #2 AI art for my e-ink display 7:30 #3 Auto-updates & backups 8:42 #4 Background checks that caught my Netflix payment fail 10:44 #5 Research with parallel sub-agents 12:09 #6 YouTube analytics in plain English 14:51 #7 /summarize any URL 15:28 #8 "Go fix everything" — server migration 16:57 #9 Coding from my phone 17:35 #10 Email triage (draft-only mode) 18:01 #11 Calendar via WhatsApp for my wife 18:35 #12 Voice note transcription 19:25 #13 Coffee shops, weather, reminders 20:59 #14 My agent helped my friend set up for 3 hours in Polish 23:10 #15 Why I migrated to Discord (biggest upgrade) 26:02 #16 Bookmarks replaced Raindrop 27:24 #17 Semantic search across 3,000 Obsidian notes 29:21 #18 WordPress rickroll honeypot 31:02 #19 Excalidraw diagrams via MCP 31:53 #20 Home automation 33:46 Starter pack: 3 workflows for day one 34:29 The honest part — what breaks 42:03 My 50-day scorecard

I've used OpenClaw every single day for 50+ days. Through ClawdBot. Through MoltBot. Through the rebrand and OpenAI partnership. I made the setup video in the official docs. I built Clawdiverse. I contributed a skill to ClawHub. Nobody else can tell you what happens after the first month. Here's everything I learned: 20 real use cases, what actually breaks, and every prompt to set them up yourself: 0:00 Nobody has been here for 50 days yet 1:02 What is OpenClaw? 1:49 What 50 days actually looks like 4:53 #1 Morning briefing 5:54 #2 AI art for my e-ink display 7:30 #3 Auto-updates & backups 8:42 #4 Background checks that caught my Netflix payment fail 10:44 #5 Research with parallel sub-agents 12:09 #6 YouTube analytics in plain English 14:51 #7 /summarize any URL 15:28 #8 "Go fix everything" — server migration 16:57 #9 Coding from my phone 17:35 #10 Email triage (draft-only mode) 18:01 #11 Calendar via WhatsApp for my wife 18:35 #12 Voice note transcription 19:25 #13 Coffee shops, weather, reminders 20:59 #14 My agent helped my friend set up for 3 hours in Polish 23:10 #15 Why I migrated to Discord (biggest upgrade) 26:02 #16 Bookmarks replaced Raindrop 27:24 #17 Semantic search across 3,000 Obsidian notes 29:21 #18 WordPress rickroll honeypot 31:02 #19 Excalidraw diagrams via MCP 31:53 #20 Home automation 33:46 Starter pack: 3 workflows for day one 34:29 The honest part — what breaks 42:03 My 50-day scorecard

Radek Sienkiewicz

62,258 views • 7 months ago

Agent OBS: First Day Live. We armed Agent OBS for real trading on Robinhood Chain, with $100 per trade, a 10% floor, and a cap of 6 entries and $1,200 of swaps a day. This is what the first 11 hours looked like. Numbers: - 85 desk cycles: 61 holds, 17 entries refused by the rails, 6 buys. - 6 trades, all $100: 4 wins, 2 losses. SHARD +$20 (take profit at +20% after one minute) TRIBUTE +$43 (sold into thinning buyers after 44 minutes) COMMOTITTES +$6, ZZZ +$2 FRANKLIN -$48 (a fresh launch that fell 48% in 48 seconds; the floor sold it) MEME -$10 (we closed it by hand when we narrowed the lane, see below) - Gross on the marks: +$13. After price impact, gas and two USDG hops: the wallet went from 0.4100 to 0.4057 ETH, about -1%. Dollar equity was flat, $1,018 to $1,014, with ETH up 0.7% on the day. What We Learned: - The rails did their job. Every exit fired on its rule: take profit, floor, tape roll-over. The agent itself proposed only sells it could justify. - Fresh launches are where the loss came from. After FRANKLIN we narrowed the lane to tokens at least 24 hours old with a trading record, and the four trades after that were +$41 net. - At $100 a trade, round-trip cost of roughly 4% eats the small wins. The next decision is size and selection, not more rules. What Broke And Was Fixed The Same Night: - A sell that would have reverted on every full exit (the book carried a hair more than the wallet held). Caught before it cost anything. - Dust after a full sell counting as a position, and airdropped tokens counting as holdings. The desk now only ever touches what it bought. - The terminal describing a held token as a new entry, and the performance chart dropping off a cliff for a minute after each sell. Both fixed. Next: Let the 24-hour-old lane run a full day at the same size, then decide on size and on whether fresh launches get a smaller lane of their own.

Agent OBS: First Day Live. We armed Agent OBS for real trading on Robinhood Chain, with $100 per trade, a 10% floor, and a cap of 6 entries and $1,200 of swaps a day. This is what the first 11 hours looked like. Numbers: - 85 desk cycles: 61 holds, 17 entries refused by the rails, 6 buys. - 6 trades, all $100: 4 wins, 2 losses. SHARD +$20 (take profit at +20% after one minute) TRIBUTE +$43 (sold into thinning buyers after 44 minutes) COMMOTITTES +$6, ZZZ +$2 FRANKLIN -$48 (a fresh launch that fell 48% in 48 seconds; the floor sold it) MEME -$10 (we closed it by hand when we narrowed the lane, see below) - Gross on the marks: +$13. After price impact, gas and two USDG hops: the wallet went from 0.4100 to 0.4057 ETH, about -1%. Dollar equity was flat, $1,018 to $1,014, with ETH up 0.7% on the day. What We Learned: - The rails did their job. Every exit fired on its rule: take profit, floor, tape roll-over. The agent itself proposed only sells it could justify. - Fresh launches are where the loss came from. After FRANKLIN we narrowed the lane to tokens at least 24 hours old with a trading record, and the four trades after that were +$41 net. - At $100 a trade, round-trip cost of roughly 4% eats the small wins. The next decision is size and selection, not more rules. What Broke And Was Fixed The Same Night: - A sell that would have reverted on every full exit (the book carried a hair more than the wallet held). Caught before it cost anything. - Dust after a full sell counting as a position, and airdropped tokens counting as holdings. The desk now only ever touches what it bought. - The terminal describing a held token as a new entry, and the performance chart dropping off a cliff for a minute after each sell. Both fixed. Next: Let the 24-hour-old lane run a full day at the same size, then decide on size and on whether fresh launches get a smaller lane of their own.

Obscura

12,678 views • 1 month ago

This guy closes $5K/month managed agent clients and his AI agent does the fulfillment. His agent Dewey builds the client's agent, onboards it into their Slack, and handles the customer support after. Nick Vasilescu watches client problems get solved from his phone while he's on a walk. He came back on the Build With AI podcast to walk through the entire system. Here's what I learned: 1. Agents building agents is here. Dewey built a $5K/month client's agent on Orgo and onboarded it into their Slack himself. 2. The company behind Hermes is hiring forward deployed engineers for enterprise. The SMB and mid-market layer beneath is up for grabs. 3. His agent has its own email, phone, and card. Dewey signed up for Higgsfield and paid for it himself. 4. Customer support runs without him. Dewey sits in iMessage group chats with clients and fixes issues on the fly. 5. The 80/20 stack: a harness (Hermes or OpenClaw), a model, an Orgo computer, Agent Mail, Agent Phone, Obsidian, Honcho for memory, Composio, Latitude. 6. packages the agent card, email, and phone for about $20/month. 7. Templatize once, deploy forever. Save your ideal stack as an Orgo template and one-click clone it for every client. 8. Nobody pays $5K/month for an agent that doesn't make them money. Build the client an agent, then help them resell it to THEIR customers. B2B2B never churns. 9. Skills come from a context dump. The client dumps everything into Slack and Dewey turns the discovery call transcript into skills. 10. Sell to real businesses, not startups. SMBs doing $1M to $2M minimum pay more and ask fewer questions. Nick put Dewey's entire build into a simple blueprint. Anyone can set this up and be texting their agent in under 2 minutes. Grab the blueprint (free) here: His 2 key takeaways: 1. Build is commoditized. The valuable skill is asking the right questions and knowing which tool to point the agent at. 2. Speed to value wins. The same day a client wires money, ship them something. Agent live by day two. Nick is living further in the future than almost anyone I know and round two did not disappoint. Go follow Nick Vasilescu. Full video below. (Also available on the Build With AI podcast wherever you get your pods)

This guy closes $5K/month managed agent clients and his AI agent does the fulfillment. His agent Dewey builds the client's agent, onboards it into their Slack, and handles the customer support after. Nick Vasilescu watches client problems get solved from his phone while he's on a walk. He came back on the Build With AI podcast to walk through the entire system. Here's what I learned: 1. Agents building agents is here. Dewey built a $5K/month client's agent on Orgo and onboarded it into their Slack himself. 2. The company behind Hermes is hiring forward deployed engineers for enterprise. The SMB and mid-market layer beneath is up for grabs. 3. His agent has its own email, phone, and card. Dewey signed up for Higgsfield and paid for it himself. 4. Customer support runs without him. Dewey sits in iMessage group chats with clients and fixes issues on the fly. 5. The 80/20 stack: a harness (Hermes or OpenClaw), a model, an Orgo computer, Agent Mail, Agent Phone, Obsidian, Honcho for memory, Composio, Latitude. 6. packages the agent card, email, and phone for about $20/month. 7. Templatize once, deploy forever. Save your ideal stack as an Orgo template and one-click clone it for every client. 8. Nobody pays $5K/month for an agent that doesn't make them money. Build the client an agent, then help them resell it to THEIR customers. B2B2B never churns. 9. Skills come from a context dump. The client dumps everything into Slack and Dewey turns the discovery call transcript into skills. 10. Sell to real businesses, not startups. SMBs doing $1M to $2M minimum pay more and ask fewer questions. Nick put Dewey's entire build into a simple blueprint. Anyone can set this up and be texting their agent in under 2 minutes. Grab the blueprint (free) here: His 2 key takeaways: 1. Build is commoditized. The valuable skill is asking the right questions and knowing which tool to point the agent at. 2. Speed to value wins. The same day a client wires money, ship them something. Agent live by day two. Nick is living further in the future than almost anyone I know and round two did not disappoint. Go follow Nick Vasilescu. Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

32,144 views • 2 months ago

OpenAI Dots is way deeper than the launch demo makes it look... I pulled together the 7 videos worth watching before you hire your first Dot. they run under 3 hours total and cover what the launch demo left out Here are 7 videos: video 1 → How Sam Altman Actually Uses AI (Every, 33 min). Altman walks through his own Dot, how it triages his morning and which features it builds without being asked video 2 → OpenAI's Dots lead on the future of ChatGPT (Sources, 45 min). Alexander Embiricos, who runs the product, explains why Dots started as one agent and how permissions and Space shape what it's allowed to do video 3 → OpenAI's New Agent Stack (Latent Space, 40 min). Computer Use, the Decisions API, UltraFast and the Linux computer every Dot gets video 4 → ChatGPT Dots Just Dropped (Brendan Jowett, 22 min). a hands-on run with schedules, an Airbnb booking and MCP, plus the bugs he hit and why one account still gets only one Dot video 5 → The dots demo, take two (OpenAI, 9 min). the official demo again, recorded after the live one broke on stage video 6 → Everything Announced at OpenAI Dev Day 2026 (PCMag, 16 min). Dots, Space, Sol and Codex Cloud in one recap, useful if you missed the keynote video 7 → We Tested OpenAI DevDay Products (Every, 10 min). a full week of real use with Dots, Space and the Decisions API watch them in this order and the architecture in the article below stops feeling abstract. you'll know what a Dot can do on its own and where it still needs you Grab the full Dots video roadmap in the comments, then read the complete architecture below ↓

OpenAI Dots is way deeper than the launch demo makes it look... I pulled together the 7 videos worth watching before you hire your first Dot. they run under 3 hours total and cover what the launch demo left out Here are 7 videos: video 1 → How Sam Altman Actually Uses AI (Every, 33 min). Altman walks through his own Dot, how it triages his morning and which features it builds without being asked video 2 → OpenAI's Dots lead on the future of ChatGPT (Sources, 45 min). Alexander Embiricos, who runs the product, explains why Dots started as one agent and how permissions and Space shape what it's allowed to do video 3 → OpenAI's New Agent Stack (Latent Space, 40 min). Computer Use, the Decisions API, UltraFast and the Linux computer every Dot gets video 4 → ChatGPT Dots Just Dropped (Brendan Jowett, 22 min). a hands-on run with schedules, an Airbnb booking and MCP, plus the bugs he hit and why one account still gets only one Dot video 5 → The dots demo, take two (OpenAI, 9 min). the official demo again, recorded after the live one broke on stage video 6 → Everything Announced at OpenAI Dev Day 2026 (PCMag, 16 min). Dots, Space, Sol and Codex Cloud in one recap, useful if you missed the keynote video 7 → We Tested OpenAI DevDay Products (Every, 10 min). a full week of real use with Dots, Space and the Decisions API watch them in this order and the architecture in the article below stops feeling abstract. you'll know what a Dot can do on its own and where it still needs you Grab the full Dots video roadmap in the comments, then read the complete architecture below ↓

monokern

25,252 views • 5 days ago

I spent 1 day building something that saves you 2-4 weeks. Let me explain. Right now, if you want to deploy a single AI agent that earns money on blockchain, you need: → Wallet infrastructure (key generation, encryption, signing) → Payment integration (on-chain flows, stablecoin handling) → On-chain identity (NFT registration, metadata, URIs) → Escrow contracts (state machines, fund locking) → Monitoring dashboard (analytics, revenue tracking) That's 2-4 weeks of engineering. Minimum. And it locks out 99% of potential creators who aren't Solidity devs. So I built Bumi Agent. It takes 10 seconds. 3 fields: Name, Template, Price. 1 button: Deploy. That's it. Your AI agent is live on Celo, earning cUSD, with on-chain identity before your coffee gets cold. Here's what happens behind that 1 click: • Wallet auto-generated with AES-256-GCM encryption • Agent registered as NFT via ERC-8004 • Payment endpoint configured via x402 protocol • Agent runtime deployed with your chosen template • Revenue starts flowing in cUSD from call #1 No Solidity. No wallet setup. No payment gateway. But the real magic is what powers the agents: 8 AI models with intelligent routing: - Free tier: Claude 4.6 Sonnet, DeepSeek R1, Gemini Flash, Llama 4 Scout, Mistral Medium - Premium: GPT-4o, Gemini 2.5 Pro, Claude 4 Opus If one model fails? Auto-fallback to the next. Zero downtime. Users always get a response. And agents don't just chat they work. ERC-8183 job escrow lets clients post paid tasks: Client funds escrow → Agent delivers → Client approves → Funds release. Fully trustless. On-chain. With Celoscan links for every transaction. The part I'm most proud of: EarthPool 🌱 15% of premium revenue automatically goes to an on-chain ReFi treasury that funds environmental campaigns on Celo. AI growth funding climate action. No greenwashing — every cent is trackable on-chain. The numbers so far: → 12 agents deployed on Celo Mainnet → 52+ paid API calls processed → 7.80 cUSD revenue generated → 3 smart contracts verified on Celoscan → 8 AI models running → 85 contract tests passing → 16 API endpoints in production → 10 agent templates ready The full stack: Frontend: Next.js 16 + Tailwind v4 + Recharts → Vercel Backend: Hono + Drizzle + PostgreSQL + Redis → Railway Blockchain: Solidity 0.8.25 + Foundry + OpenZeppelin → Celo Mainnet Everything is live. Everything is open source. 🌐 📦 📊 Bumi Agent — AI agents for everyone. Built with 🌱 on Celo CeloDevs CeloPublicGoods /disclosure this post is hackathon submission req

I spent 1 day building something that saves you 2-4 weeks. Let me explain. Right now, if you want to deploy a single AI agent that earns money on blockchain, you need: → Wallet infrastructure (key generation, encryption, signing) → Payment integration (on-chain flows, stablecoin handling) → On-chain identity (NFT registration, metadata, URIs) → Escrow contracts (state machines, fund locking) → Monitoring dashboard (analytics, revenue tracking) That's 2-4 weeks of engineering. Minimum. And it locks out 99% of potential creators who aren't Solidity devs. So I built Bumi Agent. It takes 10 seconds. 3 fields: Name, Template, Price. 1 button: Deploy. That's it. Your AI agent is live on Celo, earning cUSD, with on-chain identity before your coffee gets cold. Here's what happens behind that 1 click: • Wallet auto-generated with AES-256-GCM encryption • Agent registered as NFT via ERC-8004 • Payment endpoint configured via x402 protocol • Agent runtime deployed with your chosen template • Revenue starts flowing in cUSD from call #1 No Solidity. No wallet setup. No payment gateway. But the real magic is what powers the agents: 8 AI models with intelligent routing: - Free tier: Claude 4.6 Sonnet, DeepSeek R1, Gemini Flash, Llama 4 Scout, Mistral Medium - Premium: GPT-4o, Gemini 2.5 Pro, Claude 4 Opus If one model fails? Auto-fallback to the next. Zero downtime. Users always get a response. And agents don't just chat they work. ERC-8183 job escrow lets clients post paid tasks: Client funds escrow → Agent delivers → Client approves → Funds release. Fully trustless. On-chain. With Celoscan links for every transaction. The part I'm most proud of: EarthPool 🌱 15% of premium revenue automatically goes to an on-chain ReFi treasury that funds environmental campaigns on Celo. AI growth funding climate action. No greenwashing — every cent is trackable on-chain. The numbers so far: → 12 agents deployed on Celo Mainnet → 52+ paid API calls processed → 7.80 cUSD revenue generated → 3 smart contracts verified on Celoscan → 8 AI models running → 85 contract tests passing → 16 API endpoints in production → 10 agent templates ready The full stack: Frontend: Next.js 16 + Tailwind v4 + Recharts → Vercel Backend: Hono + Drizzle + PostgreSQL + Redis → Railway Blockchain: Solidity 0.8.25 + Foundry + OpenZeppelin → Celo Mainnet Everything is live. Everything is open source. 🌐 📦 📊 Bumi Agent — AI agents for everyone. Built with 🌱 on Celo CeloDevs CeloPublicGoods /disclosure this post is hackathon submission req

Eight

15,647 views • 6 months ago

$Creatine isn’t just for athletes. A growing body of scientific evidence now shows creatine helps preserve muscle during aging, maintains bone density, improves cognition (especially during stress), and speeds muscle recovery after intense exercise. To explore the mechanisms, optimal dosing strategies, and practical considerations, and more, I invited a leading creatine researcher Dr. Darren Candow (Darren Candow, PhD, CSEP-CEP, FISSN) onto the podcast. Even if you’re not an athlete—or you’ve dismissed creatine as a muscle supplement—you need to listen to this episode. Links to YouTube, Apple Podcasts, and Spotify in the comments. Timestamps: 0:00 - Introduction 0:56 - What makes creatine effective for exercise performance? 4:23 - The loss of explosive power with aging 5:59 - How creatine speeds up recovery between sets 8:36 - Two ways creatine boosts muscle strength 10:34 - Why creatine might not speed typical weight-training recovery 13:01 - Anti-catabolic effects 13:38 - Why do men and women respond differently? 15:12 - Dietary creatine vs. supplementation 15:59 - Is creatine supplementation necessary—or optional? 17:27 - Why plant-based may benefit most 18:38 - Should creatine dosage change with age? 19:23 - Loading vs. daily dosing 22:20 - Why 5 grams might not be enough—other tissues 24:11 - Can creatine prevent bone loss—even without weight training? 24:32 - How creatine supports osteoblast activity 26:13 - Preventing hip fractures with creatine 28:55 - Creatine vs. bisphosphonates 32:43 - Why creatine isn’t just for weightlifters 35:14 - Why stressed brains benefit most 37:19 - Why brain aging accelerates demand 40:16 - Why 10g per day might be the optimal dose 42:07 - Why creatine counteracts sleep deprivation 45:16 - Before vs. after concussion 47:39 - Should dosage be adjusted by weight? 49:01 - Does creatine improve sleep on training days? 51:56 - Creatine for Alzheimer’s and Parkinson’s 53:29 - Can creatine help with depression and anxiety? 56:46 - Creatine and glutamine for preventing respiratory illness 59:02 - Why creatine may enhance endothelial health and circulation 1:00:26 - Creatine’s role in cardiometabolic health 1:02:07 - When does loading actually make sense? 1:03:12 - Preserving muscle and enhancing recovery after injury 1:06:07 - Is creatine effective without exercise? 1:08:23 - Why creatine might improve male fertility 1:10:19 - Is it safe for children? 1:13:43 - Creatine supplementation during pregnancy 1:15:15 - Could creatine boost motor skills in kids? 1:15:55 - Creatine monohydrate vs. the rest 1:20:37 - How to avoid digestive issues with creatine supplementation 1:23:18 - Does timing matter—and should you cycle it? 1:24:54 - Should you take creatine every day—or only workout days? 1:25:39 - Why caffeine might blunt the effects 1:28:43 - Does creatine increase body fat—or is that a myth? 1:29:30 - Preventing cramps (the hydration myth) 1:30:55 - Why creatine won’t damage your kidneys 1:33:21 - Why creatine is linked (wrongly?) to baldness 1:36:44 - Debunking myths—sleep, cancer, urination 1:40:01 - How creatine affects homocysteine levels 1:42:54 - Creatine and protein—the ideal post-workout pair? 1:45:48 - How to pick the best creatine supplement 1:48:08 - What to know about micronized creatine$

Creatine isn’t just for athletes. A growing body of scientific evidence now shows creatine helps preserve muscle during aging, maintains bone density, improves cognition (especially during stress), and speeds muscle recovery after intense exercise. To explore the mechanisms, optimal dosing strategies, and practical considerations, and more, I invited a leading creatine researcher Dr. Darren Candow (Darren Candow, PhD, CSEP-CEP, FISSN) onto the podcast. Even if you’re not an athlete—or you’ve dismissed creatine as a muscle supplement—you need to listen to this episode. Links to YouTube, Apple Podcasts, and Spotify in the comments. Timestamps: 0:00 - Introduction 0:56 - What makes creatine effective for exercise performance? 4:23 - The loss of explosive power with aging 5:59 - How creatine speeds up recovery between sets 8:36 - Two ways creatine boosts muscle strength 10:34 - Why creatine might not speed typical weight-training recovery 13:01 - Anti-catabolic effects 13:38 - Why do men and women respond differently? 15:12 - Dietary creatine vs. supplementation 15:59 - Is creatine supplementation necessary—or optional? 17:27 - Why plant-based may benefit most 18:38 - Should creatine dosage change with age? 19:23 - Loading vs. daily dosing 22:20 - Why 5 grams might not be enough—other tissues 24:11 - Can creatine prevent bone loss—even without weight training? 24:32 - How creatine supports osteoblast activity 26:13 - Preventing hip fractures with creatine 28:55 - Creatine vs. bisphosphonates 32:43 - Why creatine isn’t just for weightlifters 35:14 - Why stressed brains benefit most 37:19 - Why brain aging accelerates demand 40:16 - Why 10g per day might be the optimal dose 42:07 - Why creatine counteracts sleep deprivation 45:16 - Before vs. after concussion 47:39 - Should dosage be adjusted by weight? 49:01 - Does creatine improve sleep on training days? 51:56 - Creatine for Alzheimer’s and Parkinson’s 53:29 - Can creatine help with depression and anxiety? 56:46 - Creatine and glutamine for preventing respiratory illness 59:02 - Why creatine may enhance endothelial health and circulation 1:00:26 - Creatine’s role in cardiometabolic health 1:02:07 - When does loading actually make sense? 1:03:12 - Preserving muscle and enhancing recovery after injury 1:06:07 - Is creatine effective without exercise? 1:08:23 - Why creatine might improve male fertility 1:10:19 - Is it safe for children? 1:13:43 - Creatine supplementation during pregnancy 1:15:15 - Could creatine boost motor skills in kids? 1:15:55 - Creatine monohydrate vs. the rest 1:20:37 - How to avoid digestive issues with creatine supplementation 1:23:18 - Does timing matter—and should you cycle it? 1:24:54 - Should you take creatine every day—or only workout days? 1:25:39 - Why caffeine might blunt the effects 1:28:43 - Does creatine increase body fat—or is that a myth? 1:29:30 - Preventing cramps (the hydration myth) 1:30:55 - Why creatine won’t damage your kidneys 1:33:21 - Why creatine is linked (wrongly?) to baldness 1:36:44 - Debunking myths—sleep, cancer, urination 1:40:01 - How creatine affects homocysteine levels 1:42:54 - Creatine and protein—the ideal post-workout pair? 1:45:48 - How to pick the best creatine supplement 1:48:08 - What to know about micronized creatine

Dr. Rhonda Patrick

465,373 views • 1 year ago

This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)

This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

225,868 views • 2 months ago

For the first time, anyone with a Facebook account has a personal AI agent. Meta just launched Muse. It's the #1 app on the App Store. And it's free. This is a big deal. Agents used to be a power-user thing. You had to be technical to set one up, and you had to pay for it. Now billions of people can sign in with the Facebook account they already have and get an assistant that goes and does things for them. And because it's tied to Facebook and Instagram, it already knows a good bit about you on day one. I've been using it for the past two weeks, and it's become part of my day. It's proactive. It helps me keep track of chats and messages I need to get back to, so nothing slips. And I even have it running on my own device now through the Muse SDK (link in the comments). So all of a sudden this free "little" agent is on every device I own, with one super agent, Carl, helping me at every step of the way. Man, it feels like the movies. I recorded a full walkthrough, beginner to pro: Let's dive in. ⏱️ Timestamps: 00:00 What Meta Muse Can Do 00:36 Download Muse on Every Device 01:01 Main Chat and Side Chats 01:53 The Activity Feed 02:28 Soul and Memory Files 04:27 Heartbeat and Morning Brief 05:04 Connect Your Calendar 05:40 Muse's Own Browser and Computer 06:36 Your Personalized Feed 07:57 Ideas Tab and the Calling Agent 08:59 Create Your Muse Avatar 09:42 Run Multiple Agents at Once 10:26 Artifacts: A Family Calendar 12:07 Facebook and Instagram Updates 12:50 AI Tesla Car Search 13:50 Fill Out a School Form 15:46 Book a Dinner Reservation 17:58 Why Muse Works for Everyday Users 18:54 Muse vs Grok Bot Bot vs OpenClaw🦞 20:33 Muse Can Make Phone Calls 21:26 Is Meta Muse Free? 21:49 Computer Control and Its Own Email 22:27 The Muse Charm and Video Chat 23:27 Final Thoughts Great work Alexandr Wang and team!

JJ Englert

66,616 views • 3 days ago

Joey McGuire Exposes Schools For Late NIL Payments + How Texas Tech Landed Sorsby Over LSU | Bussin' 0:00 Intro 2:38 Texas Tech Spring Tour Recap 6:12 Lubbock BBQ & West Texas Football Culture 9:18 Sorsby First Impressions At Practice 15:30 Will Puts Sorsby On His Heisman List 19:52 Lavonte David Episode Callbacks 22:06 YouTube Comments & Future Spring Tour Stops 27:40 Michigan National Championship Basketball 28:46 Dan Orlovsky Bet Negotiation 36:03 Kirk Cousins To The Raiders 39:07 Orlovsky Counter Offers Keep Coming 41:37 Michigan's Tournament Dominance 44:23 NFL Draft Talk 46:07 Stadium Food Tier Talk 52:18 Highest Paid Non-QB In NFL History 58:37 Big Ten Baseball & NIL Discussion 1:00:00 WrestleMania Tag Team Partner Tier Talk 1:03:49 Pat McAfee & WWE Drama 1:05:17 Jalen Hurts & The Eagles 1:08:04 Taylor's Easter Story 1:17:54 Joe Burrow To The Eagles 1:21:29 Joey McGuire Interview Starts 1:23:24 Taylor's Mustache Would Be A Hit In West Texas 1:28:21 McGuire's Relationship With Cody Campbell 1:28:47 The Friday Night Lights Controversy 1:30:30 Texas Tech As NIL "Disruptors" 1:35:00 How Texas Tech Recruits In The Transfer Portal 1:37:13 Beating Schools In Recruiting 1:38:04 Why Texas Tech Never Misses A Payment 1:39:43 Developing Transfer Portal Players 1:41:06 Recruiting Sorsby 1:43:55 Is The NIL Landscape Sustainable? 1:48:26 Building A Team Culture With 27 Transfers 1:55:11 McGuire's Love For Texas Tech 1:56:43 What Would McGuire Change About College Football? 2:00:00 The 25-Day Playoff Layoff Problem 2:04:01 McGuire's Relationship With Matt Rhule 2:07:00 The Agent Problem In College Football 2:09:00 Big 12 Perception & Playoff Format Issues 2:12:00 McGuire's 24-Team Playoff Idea 2:16:13 Should A Team Make The Playoff After A Blowout Loss? 2:22:31 Texas Tech vs Nebraska 2:25:08 Bowl Games Should Be Season Openers 2:29:03 Sorsby & The 2025 Offensive Preview 2:32:56 McGuire's Coaching Journey 2:39:42 McGuire's Open Door Policy 2:40:28 Advice For Young Coaches 2:41:48 Fan Questions 2:46:00 New Big 12 Rivalries 2:48:58 Big 12 Coach Of The Year Snub 2:51:06 McGuire Is A Texas High School Football Legend 2:51:22 Scheduling Tougher Non-Conference Opponents 2:54:23 Bowl Games As Season Openers 2:56:16 If You Could Add Any Rule To College Football 2:59:50 The Bud Light Question 3:00:34 The "Believe" Trophy Case Story

Joey McGuire Exposes Schools For Late NIL Payments + How Texas Tech Landed Sorsby Over LSU | Bussin' 0:00 Intro 2:38 Texas Tech Spring Tour Recap 6:12 Lubbock BBQ & West Texas Football Culture 9:18 Sorsby First Impressions At Practice 15:30 Will Puts Sorsby On His Heisman List 19:52 Lavonte David Episode Callbacks 22:06 YouTube Comments & Future Spring Tour Stops 27:40 Michigan National Championship Basketball 28:46 Dan Orlovsky Bet Negotiation 36:03 Kirk Cousins To The Raiders 39:07 Orlovsky Counter Offers Keep Coming 41:37 Michigan's Tournament Dominance 44:23 NFL Draft Talk 46:07 Stadium Food Tier Talk 52:18 Highest Paid Non-QB In NFL History 58:37 Big Ten Baseball & NIL Discussion 1:00:00 WrestleMania Tag Team Partner Tier Talk 1:03:49 Pat McAfee & WWE Drama 1:05:17 Jalen Hurts & The Eagles 1:08:04 Taylor's Easter Story 1:17:54 Joe Burrow To The Eagles 1:21:29 Joey McGuire Interview Starts 1:23:24 Taylor's Mustache Would Be A Hit In West Texas 1:28:21 McGuire's Relationship With Cody Campbell 1:28:47 The Friday Night Lights Controversy 1:30:30 Texas Tech As NIL "Disruptors" 1:35:00 How Texas Tech Recruits In The Transfer Portal 1:37:13 Beating Schools In Recruiting 1:38:04 Why Texas Tech Never Misses A Payment 1:39:43 Developing Transfer Portal Players 1:41:06 Recruiting Sorsby 1:43:55 Is The NIL Landscape Sustainable? 1:48:26 Building A Team Culture With 27 Transfers 1:55:11 McGuire's Love For Texas Tech 1:56:43 What Would McGuire Change About College Football? 2:00:00 The 25-Day Playoff Layoff Problem 2:04:01 McGuire's Relationship With Matt Rhule 2:07:00 The Agent Problem In College Football 2:09:00 Big 12 Perception & Playoff Format Issues 2:12:00 McGuire's 24-Team Playoff Idea 2:16:13 Should A Team Make The Playoff After A Blowout Loss? 2:22:31 Texas Tech vs Nebraska 2:25:08 Bowl Games Should Be Season Openers 2:29:03 Sorsby & The 2025 Offensive Preview 2:32:56 McGuire's Coaching Journey 2:39:42 McGuire's Open Door Policy 2:40:28 Advice For Young Coaches 2:41:48 Fan Questions 2:46:00 New Big 12 Rivalries 2:48:58 Big 12 Coach Of The Year Snub 2:51:06 McGuire Is A Texas High School Football Legend 2:51:22 Scheduling Tougher Non-Conference Opponents 2:54:23 Bowl Games As Season Openers 2:56:16 If You Could Add Any Rule To College Football 2:59:50 The Bud Light Question 3:00:34 The "Believe" Trophy Case Story

Bussin' With The Boys

74,194 views • 6 months ago

🏟️ SPORTS MEETS PURPOSE: The $2.6B Opportunity 92 UK football clubs. Millions of fans. Billions in annual transactions. What if every shirt sold could generate measurable social impact while creating native token demand? Not theoretical. Already live. And this video? It’s currently being presented to every professional club in the UK.*🧵 THE PROOF: MK Dons Our first pro club partnership: • 3,000 shirts = 10,000 meals for children in food poverty • Every fan got NFT proof of impact • Zero friction to execute CEO “You buy one of those shirts and you will feed a child in poverty in this city” That authenticity scales. Which is why we’re now taking this to all 92 clubs. THE TOKEN ECONOMICS When a fan buys a shirt: - Auto Buys $ZENKO - Funds real impact (meal/tree/carbon offset) - Fan receives gasless NFT proof - Club gets ESG compliance + loyalty Every transaction = programmatic token buying. Now multiply across 92 UK clubs, European leagues, US sports. Average Premier League club sells 800,000+ shirts annually. WHAT #SPORTSFORGOOD DELIVERS 🎽 Impact embedded in every purchase 🏃 Community fitness challenges funding causes 🎮 Match day prediction games & fantasy leagues 🌐 Digital stadium twins & metaverse experiences All powered by $ZENKO. All creating measurable good. This is what’s being pitched to decision-makers across UK football right now. THE PIPELINE ✅ MK Dons live & delivering results ✅ Active presentations to all 92 UK pro clubs ✅ 25+ clubs in advanced discussions ✅ 5 Premier League LOIs signed ✅ English Football League institutional backing 🎯 Next: Europe + US sports CONSERVATIVE MATH Year 1: 25 clubs × 200K transactions = 5M transactions At $5-10 per transaction in $ZENKO buying = $25-50M in native token demand from sports alone Before platform fees, staking, NFT burns, governance participation. WHY CLUBS WILL ADOPT ✅ New revenue beyond match days ✅ Mandatory ESG compliance solved ✅ Fan loyalty through impact ✅ Youth engagement via gamification ✅ Easy setup (weeks not months) The value prop writes itself. Which is why they’re listening. FOR TOKEN HOLDERS You’re positioned before sports market activation. While we’re in boardrooms presenting to 92 clubs, you can still get in early. Growth independent of crypto cycles because sports fans buy merch and tickets in bull markets AND bear markets. That stability compounds. 🔥 BOTTOM LINE MK Dons proved it works. This presentation is live with every UK pro club. Platform ready to scale globally. This is the activation of a multi-billion dollar market where $ZENKO becomes infrastructure for global sports engagement. The beautiful game just got purposeful. 🌍⚽ 📺 Watch what clubs are seeing in boardrooms right now ⬆️ 📖 Read more: < 💬 < 🪙 < #Sportsforgood. Powered by $ZENKO. LFG. 🚀

🏟️ SPORTS MEETS PURPOSE: The $2.6B Opportunity 92 UK football clubs. Millions of fans. Billions in annual transactions. What if every shirt sold could generate measurable social impact while creating native token demand? Not theoretical. Already live. And this video? It’s currently being presented to every professional club in the UK.*🧵 THE PROOF: MK Dons Our first pro club partnership: • 3,000 shirts = 10,000 meals for children in food poverty • Every fan got NFT proof of impact • Zero friction to execute CEO “You buy one of those shirts and you will feed a child in poverty in this city” That authenticity scales. Which is why we’re now taking this to all 92 clubs. THE TOKEN ECONOMICS When a fan buys a shirt: - Auto Buys $ZENKO - Funds real impact (meal/tree/carbon offset) - Fan receives gasless NFT proof - Club gets ESG compliance + loyalty Every transaction = programmatic token buying. Now multiply across 92 UK clubs, European leagues, US sports. Average Premier League club sells 800,000+ shirts annually. WHAT #SPORTSFORGOOD DELIVERS 🎽 Impact embedded in every purchase 🏃 Community fitness challenges funding causes 🎮 Match day prediction games & fantasy leagues 🌐 Digital stadium twins & metaverse experiences All powered by $ZENKO. All creating measurable good. This is what’s being pitched to decision-makers across UK football right now. THE PIPELINE ✅ MK Dons live & delivering results ✅ Active presentations to all 92 UK pro clubs ✅ 25+ clubs in advanced discussions ✅ 5 Premier League LOIs signed ✅ English Football League institutional backing 🎯 Next: Europe + US sports CONSERVATIVE MATH Year 1: 25 clubs × 200K transactions = 5M transactions At $5-10 per transaction in $ZENKO buying = $25-50M in native token demand from sports alone Before platform fees, staking, NFT burns, governance participation. WHY CLUBS WILL ADOPT ✅ New revenue beyond match days ✅ Mandatory ESG compliance solved ✅ Fan loyalty through impact ✅ Youth engagement via gamification ✅ Easy setup (weeks not months) The value prop writes itself. Which is why they’re listening. FOR TOKEN HOLDERS You’re positioned before sports market activation. While we’re in boardrooms presenting to 92 clubs, you can still get in early. Growth independent of crypto cycles because sports fans buy merch and tickets in bull markets AND bear markets. That stability compounds. 🔥 BOTTOM LINE MK Dons proved it works. This presentation is live with every UK pro club. Platform ready to scale globally. This is the activation of a multi-billion dollar market where $ZENKO becomes infrastructure for global sports engagement. The beautiful game just got purposeful. 🌍⚽ 📺 Watch what clubs are seeing in boardrooms right now ⬆️ 📖 Read more: < 💬 < 🪙 < #Sportsforgood. Powered by $ZENKO. LFG. 🚀

Zenkō Protocol

18,053 views • 1 year ago

‼️Candace Finally Admits Publicly That Erika Kirk NEVER Loved Charlie — She Handed The Last Home Video With His Kids To An Internet Troll.🤯 Candace said she is done pretending Erika Kirk loved that man. Andrew Wilson aired what he claims is September 8 footage of Charlie on the couch with his kids — possibly the last video ever taken of them together. If that tape were precious, it would not be in the hands of a chaos agent at 3 a.m. for a “debunk” that debunks nothing. Erika did not put it on Charlie’s show. She did not give it to a real journalist. She gave it to Andrew Wilson so Turning Point can keep legal distance while he trolls the internet. Then it got worse. Candace says she also handed him private texts with her sick mother. Bank. Soup. Tremors. None of it places Erika anywhere. None of it answers Fort Huachuca. It only tells you what she is willing to sell to keep this community off the investigation. Don’t take the bait. Stay on September 10. FOLLOW Candace Owens, RT and watch her FULL episode linked below. ⚠️As you guys know this is now day 16 of no monetization. Now more than ever we rely on the support of our community to keep the Charlie Kirk investigation alive. If you value our work and want to support us, you can click the link below to donate to our fundraiser.👇 Thank you all for the encouragement and support.

‼️Candace Finally Admits Publicly That Erika Kirk NEVER Loved Charlie — She Handed The Last Home Video With His Kids To An Internet Troll.🤯 Candace said she is done pretending Erika Kirk loved that man. Andrew Wilson aired what he claims is September 8 footage of Charlie on the couch with his kids — possibly the last video ever taken of them together. If that tape were precious, it would not be in the hands of a chaos agent at 3 a.m. for a “debunk” that debunks nothing. Erika did not put it on Charlie’s show. She did not give it to a real journalist. She gave it to Andrew Wilson so Turning Point can keep legal distance while he trolls the internet. Then it got worse. Candace says she also handed him private texts with her sick mother. Bank. Soup. Tremors. None of it places Erika anywhere. None of it answers Fort Huachuca. It only tells you what she is willing to sell to keep this community off the investigation. Don’t take the bait. Stay on September 10. FOLLOW Candace Owens, RT and watch her FULL episode linked below. ⚠️As you guys know this is now day 16 of no monetization. Now more than ever we rely on the support of our community to keep the Charlie Kirk investigation alive. If you value our work and want to support us, you can click the link below to donate to our fundraiser.👇 Thank you all for the encouragement and support.

Project Constitution

28,590 views • 14 days ago