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Gotten started with the Movie Reviews Sentiment Analysis Challenge? Here's another Pro Tip for you: Learn from baselines and past research! If your starter model hits 75% accuracy, don’t just note the number. Analyze why it performs that way, and build from there. Example: "Model A boosted accuracy by... show more

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A new era for Nodepay has begun. Bandwidth has been powering our real-time data retrieval infrastructure from day one. Now, that foundation has delivered something bigger: The Intelligence Engine — a living network of structured, real-time insights, powered by you. - Your predictions become real-time signals - Your insights become knowledge - Your bandwidth collects data for our AI - $NC becomes the fuel This is AI combined with collective intelligence. Why It Matters: - Users get rewarded for their insights, not just engagement - Projects gain direct access to real-time, validated community sentiment - Everyone saves time, earns more, & makes smarter decisions First access is reserved for $NC holders ⚠️ The next wave of users will be onboarded following the upcoming snapshot 📸 Soon, you’ll all be able to contribute insights, unlock smarter rewards, and tap into real-time sentiment and conviction that gives you the edge. The Intelligence Engine is live — and you’re getting paid to power it.

A new era for Nodepay has begun. Bandwidth has been powering our real-time data retrieval infrastructure from day one. Now, that foundation has delivered something bigger: The Intelligence Engine — a living network of structured, real-time insights, powered by you. - Your predictions become real-time signals - Your insights become knowledge - Your bandwidth collects data for our AI - $NC becomes the fuel This is AI combined with collective intelligence. Why It Matters: - Users get rewarded for their insights, not just engagement - Projects gain direct access to real-time, validated community sentiment - Everyone saves time, earns more, & makes smarter decisions First access is reserved for $NC holders ⚠️ The next wave of users will be onboarded following the upcoming snapshot 📸 Soon, you’ll all be able to contribute insights, unlock smarter rewards, and tap into real-time sentiment and conviction that gives you the edge. The Intelligence Engine is live — and you’re getting paid to power it.

Nodepay

82,868 görüntüleme • 1 yıl önce

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.

The architecture of this new world model is one of the most interesting things I've seen lately: Let me first explain how most world models work: They predict and render one frame at a time. If you are navigating in one of these worlds, and you look left, the model draws whatever looks right in the moment. Every time you change your viewpoint, the model has to imagine what should be there again, so it's very common for these models to "forget" what's in the world. For example, if you put a toy on the table, look away, then look back, the toy might not be there anymore. Tripo AI is releasing its Project Eden model, which works very differently: The model builds the world first, and then renders it based on that map. That map holds the real state of the world: the geometry, every object, where things are, what's already happened. The picture you see on screen gets generated from the map. This architecture flips the whole thing. Now, you get the following: 1. The world stops forgetting. Leave, come back, and the toy is still on the table because it lives in the map, not in the last frame you saw. 2. You can edit the world, and those changes persist for anyone who enters later. 3. Multiple people and AI agents can coexist in the world and see it from different perspectives. This is early research, but it's looking really promising. They just raised nearly $200M across two rounds to build it out. Tripo will be at SIGGRAPH 2026 (July 19–23, Los Angeles Convention Center). If you work in 3D, embodied AI, simulation, or anything spatial, go connect with them there.

Santiago

30,189 görüntüleme • 1 ay önce

Slideshow clipping has to be the chillest business model you can really be making $5k - $15k+ a month running 10 TikTok accounts and have complete location freedom + make more than you would working a job you can literally just go to content rewards, pick a saas or brand to promote, for example skin care buy 5 aged TT accounts to start with connect US proxy / sim find videos in the niche the product is in for example skin care steal the hook of the video and content inside it and turn it into a slideshow for example: “skin care tips for broke girls” generate the images with NBP by finding a Pinterest image and getting the JSON from Gemini or ChatGPT promote the product as another “glow up” tip Post 1 a day from the start and as the accounts get more warm boost it to 2-3 + scale to more accounts If you can’t make your first $5k doing this then there is no hope

Pounds

15,415 görüntüleme • 5 ay önce

These are the facts. Kevin O’Leary delivers the cold, unforgiving truth about MTG’s showdown with President Trump...and says she only has herself to blame for her downfall. O’LEARY: “She’s roadkill in the Republican party now.” “She did it to herself.” “Trump herds cats and he’s done it now for over ten years by doing this to people.” “If you don’t know that by now, don’t challenge him that way. That’s how he’s keeping his cohort in order.” Then the final hammer: “And if you don’t get it, don’t do it!”

These are the facts. Kevin O’Leary delivers the cold, unforgiving truth about MTG’s showdown with President Trump...and says she only has herself to blame for her downfall. O’LEARY: “She’s roadkill in the Republican party now.” “She did it to herself.” “Trump herds cats and he’s done it now for over ten years by doing this to people.” “If you don’t know that by now, don’t challenge him that way. That’s how he’s keeping his cohort in order.” Then the final hammer: “And if you don’t get it, don’t do it!”

Overton

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What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️

What if your model handled its own tuning? ⚙️ With NVIDIA TAO 7, just prompt your coding agent what you want in plain language and let it do the rest. • Agent skills plug into your coding agent and improve accuracy. • AutoML removes the guesswork from hyperparameters. LLM-guided tuning finds strong configs up to 2x faster. • Fine-tune any Hugging Face CV or VLM model on local NVIDIA GPUs. • Data enhanced fine-tuning helps your agent identify why the model fails, then fix it. Try TAO skills ➡️

NVIDIA AI

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📣 Moonrise Points are now LIVE! You might not be an Olympian, but you can still dive into the Moonbeam ecosystem through Moonrise Points. 🏅 Join, swap, and collect points to climb the leaderboard. Earn and Compete: Moonrise Points isn’t just another campaign; it’s a way to engage with platforms, earn rewards, and showcase your prowess within the Moonbeam ecosystem. 🪜 Participate in various activities to earn points and climb the leaderboard. 👀 The top performers will receive rewards, including GLMR tokens and other exclusive benefits. What can you do? ▪ Use Moonwell to engage in decentralized lending and borrowing. ▪ StellaSwap ☄️- Top DEX on Polkadot provides you with a platform for secure and seamless trading. ▪ Enhance your crypto returns through Beamswap and Beamex on Moonbeam Network’s effective yield farming. ▪ Try Prime Protocol to transfer assets across blockchains with ease. ▪ Oku Trade 🐼 offers optimized yield farming to help improve your returns. To participate, go through each Moonrise Points module and earn your points to get a higher spot on the leaderboard. The higher you climb the more likely something will be headed your way. Visit the link below and start earning points as you make your way through Moonbeam's ecosystem. 👇

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I don’t care what the narratives say—if you trade for Trae Young, you just upgraded your roster. Period. 25 a night, 9 dimes, All-Star caliber, and pulling up from the parking lot. You don’t replace that… you add wins with it. 🤷🏾‍♂️🔥

I don’t care what the narratives say—if you trade for Trae Young, you just upgraded your roster. Period. 25 a night, 9 dimes, All-Star caliber, and pulling up from the parking lot. You don’t replace that… you add wins with it. 🤷🏾‍♂️🔥

Gilbert Arenas

14,755 görüntüleme • 6 ay önce

Happy Chinese New Year! As we welcome the Year of the Snake, may it bring you success and prosperity. To celebrate, we’re launching the #TradeWithGem challenge—showcase how gemxbt has leveled up your trading game, and you could win a share of our 1M $gemxbt prize pool! How to Participate: 1️⃣ Post on X showcasing a trade analysis or a successful trade using gemxbt/gemxbt Pro. 2️⃣ Use the hashtag #TradeWithGem and include $gemxbt in your post 3️⃣ Share how gemxbt helped you with your trade or analysis Sample Tweets: "I scored 5x gains on $VINE using gemxbt to analyse the chart and suggest an entry - #TradeWithGem $gemxbt" “gemxbt's safety score analysis kept me from rugpulls. #TradeWithGem $gemxbt" Rewards: 🎉 The top 10 posts with the highest engagement and quality will split the 1M $GEMXBT prize pool. Winners to be announced on 11th Feb. Start trading with gemxbt, share your success stories, and join the #TradeWithGem challenge. Let’s show the world the power of gemxbt 💎

Happy Chinese New Year! As we welcome the Year of the Snake, may it bring you success and prosperity. To celebrate, we’re launching the #TradeWithGem challenge—showcase how gemxbt has leveled up your trading game, and you could win a share of our 1M $gemxbt prize pool! How to Participate: 1️⃣ Post on X showcasing a trade analysis or a successful trade using gemxbt/gemxbt Pro. 2️⃣ Use the hashtag #TradeWithGem and include $gemxbt in your post 3️⃣ Share how gemxbt helped you with your trade or analysis Sample Tweets: "I scored 5x gains on $VINE using gemxbt to analyse the chart and suggest an entry - #TradeWithGem $gemxbt" “gemxbt's safety score analysis kept me from rugpulls. #TradeWithGem $gemxbt" Rewards: 🎉 The top 10 posts with the highest engagement and quality will split the 1M $GEMXBT prize pool. Winners to be announced on 11th Feb. Start trading with gemxbt, share your success stories, and join the #TradeWithGem challenge. Let’s show the world the power of gemxbt 💎

adrian.hl

64,732 görüntüleme • 1 yıl önce

Your Glassdoor rating is 3.2 and you have no idea why. Perplexity Computer can tell you in 60 seconds: 1. "Analyze our Glassdoor and Indeed reviews from the past year — identify the top 5 themes by sentiment" 2. "Compare our employer ratings against 5 competitors in our space" 3. "Draft 3 improved job descriptions that address the top candidate concerns" 4. "Build an employer brand messaging guide based on what current employees value most" 5. "Create a 30-day employer brand improvement plan with measurable milestones" Real reviews. Real patterns. Real action plan.

Onil Coder

27,363 görüntüleme • 3 ay önce

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

✨ Made a new mini feature on Photo AI: [ Grab from 3d model ] So the problem is we're at that stage in time (typical for AI) where image-to-3d models are not good enough but are fun to play with, but we know they'll be good enough in 1-2 years With [ Make 3d model ] you already can turn any Photo AI pic into a 3d model but it still looks hyper clunky and deformed, but it works! One cool idea I had to make that more useful and made now: Let people make a 3d model then change the view of the it with the 3d viewer, then press [ o ] and it grabs a frame of the 3d That image you can then [ Remix ] (img2img), and it becomes a real photo again and that in turn you can then turn into a video again with [ Make video ] So that essentially gives you a fully freeform camera position control to take photos with One thing I need to fix is the background/skybox, I kinda need to take the original photo and remove the person and just get the background for the 3d model viewer, in this case it should be white, but it's a start!

@levelsio

119,210 görüntüleme • 1 yıl önce

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

this is the worst local ai will ever be. it only gets better from here. if you are not expanding your mind with these small models you are missing what's happening right now 99 percent tool call success rate. when steered well with the right skills and a framework like hermes agent the node becomes a cognition layer. not a chatbot. not a toy. an extension of how you think. i was cranking this node at 35 to 50 tok/s all day on personal experiments and now after all the work is done qwen 3.5 9B is iterating on its own code. the game it created. fixing its own bugs autonomously. and the part you should probably not miss is that all of this is happening on a RTX 3060. not an H100. not an A100. the card most of you have sitting in a drawer right now. if you just open that drawer and put that intelligence to work every tensor core on that card should be running for you. your work. your experiments. your thinking. you all have it but because nobody told you what this hardware can actually do in 2026 you never tried. the day it unlocks is the day you test your workload, understand the tradeoffs, debug the loops, and then decide if you need to scale the hardware. there is no point buying 3 mac studios when things done well you can squeeze a similar level of intelligence from 9B compared to 70B. but only when you create the right environment for your model through the right harness. and let me tell you i have tried claude code as a local harness. i have tried opencode. i have tried various others. somehow i landed on hermes agent and never left. there is something magical going on at Nous Research. the tool call parsers, the skills system, the way it handles small models natively. nothing else comes close for local inference. own your cognition. your AI. your agent. your prompts. your experiments. why give them away for free. those are who you are and they don't belong on someone else's servers being monitored. just give it a shot with your existing hardware. you run into a problem the community will help you. and if you are migrating from openclaw to hermes i will personally help you make the switch.

Sudo su

58,717 görüntüleme • 4 ay önce

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

OpenAI's Deep Research is getting a run for its money. Deep Lake was just released, and it's a different take on an AI system that can do deep research on your own data. You can use Deep Lake to build AI search with reasoning on your private and public data. (Look at the attached videos to get an idea of how it works.) If you want to research proprietary and sensitive data, Deep Research won't help you because it's limited to public data. Deep Lake, however, will allow you to use your private data. On top of that, Deep Lake supports multi-modal retrieval from the ground up. It uses vision language models for data ingestion and retrieval so that you can connect any data (PDFs, images, videos, structured data, etc.) You can even use mixed-data queries! Deep Lake can search your data from S3, Dropbox, and GCP. It learns from your queries over time, making the results as relevant to your work as possible!

Santiago

171,340 görüntüleme • 1 yıl önce

We released physics-intern: a simple harness for science problems! It gets models like Gemini 3.1 Pro to go from 17.7 -> 31.4, thus beating GPT 5.5 Pro. The physics-intern harness can wrap any model and via dedicated subagent boost the performance of the vanilla reasoning models. While I think more and more of these harness capability gains will be absorbed into the models (like prompting tricks disappeared over time) there is a lot to be gained right now by building good scaffolds for those models and integrating tools well. Interestingly, the exception we found that GPT 5.5 Pro actually didn't benefit from the physics-intern harness! Read more about it here: PS: I think the Harness[Model] notation is kind of nice.

We released physics-intern: a simple harness for science problems! It gets models like Gemini 3.1 Pro to go from 17.7 -> 31.4, thus beating GPT 5.5 Pro. The physics-intern harness can wrap any model and via dedicated subagent boost the performance of the vanilla reasoning models. While I think more and more of these harness capability gains will be absorbed into the models (like prompting tricks disappeared over time) there is a lot to be gained right now by building good scaffolds for those models and integrating tools well. Interestingly, the exception we found that GPT 5.5 Pro actually didn't benefit from the physics-intern harness! Read more about it here: PS: I think the Harness[Model] notation is kind of nice.

Leandro von Werra

97,181 görüntüleme • 2 ay önce

It takes GRIT and sacrifice to play Div 1 Soccer. Self reflect and ask yourself these questions: 1. Will you get up for early AM lifts and not just drag yourself there but arrive happy and energized, eager to work and motivate your teammates? 2. Are you ready to miss family events—weddings, birthdays and be separated from your parents for longer than you ever have before? 3. Can you manage every aspect of your life for the first time by yourself, before you even throw in the rigors and demands of a sport? 4. Can you survive in an environment where you are defined by your sport and have very little social life existence outside of athletic and academic obligations? 5. Can you handle the mental challenge of going from the super star to possibly bottom of the roster, sitting on the bench, and/or not traveling with the team? 6. Will you be genuinely happy for your roommate who is getting all the playing time and attention while you’re getting none? If all answers are a resounding YES than you are built for this, but it’s not for everyone. And actually not for most. If it was easy, everyone would be doing it. College Soccer Truth ™ ECNL/GA/Recruiting/College Soccer

It takes GRIT and sacrifice to play Div 1 Soccer. Self reflect and ask yourself these questions: 1. Will you get up for early AM lifts and not just drag yourself there but arrive happy and energized, eager to work and motivate your teammates? 2. Are you ready to miss family events—weddings, birthdays and be separated from your parents for longer than you ever have before? 3. Can you manage every aspect of your life for the first time by yourself, before you even throw in the rigors and demands of a sport? 4. Can you survive in an environment where you are defined by your sport and have very little social life existence outside of athletic and academic obligations? 5. Can you handle the mental challenge of going from the super star to possibly bottom of the roster, sitting on the bench, and/or not traveling with the team? 6. Will you be genuinely happy for your roommate who is getting all the playing time and attention while you’re getting none? If all answers are a resounding YES than you are built for this, but it’s not for everyone. And actually not for most. If it was easy, everyone would be doing it. College Soccer Truth ™ ECNL/GA/Recruiting/College Soccer

Marsha Lycan

25,933 görüntüleme • 1 yıl önce

Here are the steps to create this animation: 1. Design and model your own mech in Plasticity. 2. Import the model into the animation software 3ds Max. 3. Create the animation on your own. 4. Render and export the monochrome model animation. 5. Make the final render for reference. 6. Use Seedance 2 to re-render your monochrome model animation according to the reference render you provided. Summary: In this workflow, Seedance 2 acts as a renderer that saves you hours of rendering time. All other work has to be done manually by yourself. Don’t blindly believe that AI can fully produce mech animations for you — it simply cannot do that.

Here are the steps to create this animation: 1. Design and model your own mech in Plasticity. 2. Import the model into the animation software 3ds Max. 3. Create the animation on your own. 4. Render and export the monochrome model animation. 5. Make the final render for reference. 6. Use Seedance 2 to re-render your monochrome model animation according to the reference render you provided. Summary: In this workflow, Seedance 2 acts as a renderer that saves you hours of rendering time. All other work has to be done manually by yourself. Don’t blindly believe that AI can fully produce mech animations for you — it simply cannot do that.

LAS91214

46,446 görüntüleme • 1 ay önce

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

ByteDance just open sourced an AI SuperAgent that can research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.

Rohan Paul

50,097 görüntüleme • 4 ay önce

Meme City App is Now LIVE! Your One-Stop Hub for All Things Memes — 🙌 the wait is over, fam! meme city is officially open and ready to fuel your meme coin adventures we’re bringing you the ultimate chain-agnostic toolkit to build, trade, and analyze meme coins with pro-level user experience what’s inside? • non-custodial wallet: set up easy, manage your bag safe. no custodians, no stress • pro trading terminal: advanced tools, real-time profit tracking, and fully decentralized. pro moves only • meme analytics: on-chain and social insights to help you ape smarter whether you’re here to launch, trade, or just vibe, meme city’s got you. ready to take your meme game multichain? let’s get it 📲 try it out: web app — Telegram app —

Meme City App is Now LIVE! Your One-Stop Hub for All Things Memes — 🙌 the wait is over, fam! meme city is officially open and ready to fuel your meme coin adventures we’re bringing you the ultimate chain-agnostic toolkit to build, trade, and analyze meme coins with pro-level user experience what’s inside? • non-custodial wallet: set up easy, manage your bag safe. no custodians, no stress • pro trading terminal: advanced tools, real-time profit tracking, and fully decentralized. pro moves only • meme analytics: on-chain and social insights to help you ape smarter whether you’re here to launch, trade, or just vibe, meme city’s got you. ready to take your meme game multichain? let’s get it 📲 try it out: web app — Telegram app —

Meme City

37,955 görüntüleme • 1 yıl önce

“Lone Wolf” Training Only Gets You So Far You might be working hard this summer Nobody’s questioning that. But when you’re always training alone, You’re missing one of the most powerful forces in development: Competition. No teammates to chase. No one pushing the pace. No one showing you where you really stack up. There’s a reason college and NFL programs invest millions into bringing guys together in the summer: Not just for structure, but for the fire that comes from training as a team. If your school has a summer strength program, be there. Challenge your teammates. Elevate together. That’s how real programs are built. But if you don’t have that? Comment “TGW” and I’ll send you the link to Team Gridiron Warrior: My monthly training system built to get you faster, stronger, and more prepared than the guy across from you this fall.

“Lone Wolf” Training Only Gets You So Far You might be working hard this summer Nobody’s questioning that. But when you’re always training alone, You’re missing one of the most powerful forces in development: Competition. No teammates to chase. No one pushing the pace. No one showing you where you really stack up. There’s a reason college and NFL programs invest millions into bringing guys together in the summer: Not just for structure, but for the fire that comes from training as a team. If your school has a summer strength program, be there. Challenge your teammates. Elevate together. That’s how real programs are built. But if you don’t have that? Comment “TGW” and I’ll send you the link to Team Gridiron Warrior: My monthly training system built to get you faster, stronger, and more prepared than the guy across from you this fall.

Scott Leech

37,768 görüntüleme • 1 yıl önce

What if crypto research was as easy as chatting with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠

What if crypto research was as easy as chatting with ChatGPT, but powered by real market data👑 Introducing CMC AI, a powerful new tool from CoinMarketCap that combines the speed of AI with the depth of live crypto data. It delivers fast, data-backed answers to your questions: ✅ Want to know why Bitcoin's price is rising? ✅ Curious about the latest news on your favorite cryptocurrency? ✅ Need sentiment analysis? It pulls real-time data and explains it in seconds. But it goes far beyond basic Q&A. In the future, you’ll be able to ask anything! For example, you could ask it to: – Discover undervalued tokens based on volume, MC, and sentiment. – Compare Layer 1s or L2s by adoption, speed, and dev activity. – Detect rug-pull risk via wallet distribution and tokenomics red flags. – Break down your portfolio by risk, correlation, and potential return. – Explore new use cases in DeFi, AI, RWA and DePIN And much more! 🔗Try it here: CMC AI changes how you learn, think, and act in Web3🧠

Alaoui Capital

34,900 görüntüleme • 1 yıl önce