McCoy | Ọ̀táìbáyọ̀mí 🇺🇸 🇳🇬 🇵🇹

i remember when @dexfansofficial reached out to me and told me: "let's build bro" the community was created with only me and the owner being the members. in less than 2 weeks i made it happen. see results 👇

Take strength. Take strength. You cannot give up now

@tamiofficial_ Happy birthday, Tami. Wishing you a great year!

X gave me balloons 🎈 +1 …. Happy birthday to me 🎉

Gm gm ct Gm web3 communities Gm AI enthusiasts. Let's build something worth the test of time...

How to get your first 100 users 🚀 1. Build in public. Share wins, failures, lessons, and progress consistently. One post a day is okay; 3–4 is better. 2. Copy competitor distribution. Find where competitors get backlinks and mentions, then submit your product to the same places. 3. Engage with viral content. Reply to popular posts in your niche with genuine value. Mention your product only when it adds context. 4. Find people already feeling the pain. Search Reddit for complaints your product solves and join the conversation with helpful replies. 5. Go where your ICP hangs out. Communities, newsletters, podcasts, creators—find them and explore sponsorships or partnerships. 6. Launch everywhere. Product Hunt, DevHunt, BetaList, Peerlist, Indie Hackers—if you can list your product, do it. 7. Ride trends. Jump into relevant conversations and trends on X while they're hot. 8. Show, don’t tell. Record a quick product demo and post it on X and LinkedIn. People understand products faster when they see them. 9. Use your network. Reach out to friends, former coworkers, and relevant people on LinkedIn or email with a short, personalized pitch. 10. Work with small creators. DM 10–15 TikTok or Instagram creators. Offer a fixed fee ($15–$30/video) plus bonuses for performance. @1752vc

I'm just an homeless boy trying to be something... Who are you?

@RO22PER Are the positions remote?

📢 Dear Applicants, Our recruitment process is still open! To help us review your application faster, please follow these steps carefully: 1️⃣ Visit the Careers section on our website, choose a position that interests you, and submit your application along with your resume. 2️⃣ In the “Who referred you?” field, please enter: Emily. This will help me locate your application more quickly. 3️⃣ After submitting your application, send me a message on Telegram: @RO22PER and provide the email address you used when applying. 4️⃣ All currently available positions can be found in the Careers section of our website. 📌 Screenshots of the available positions are attached below. Thank you for your understanding, and best of luck with your application!

A project community without structure is not a community. If you are currently building anything, before you start that community, create a plan for the community, and that begins with the community management. This depends on the scale of your project, and to be very honest, the best way to sell your product is through community. Regardless of how small or large your project is, community in itself is a marketing system that deserves more attention to make sure it is yielding the right result for your project. These are some of the things you should consider: A suitable environment for growth. For a web3 project, there are platforms that are mostly very easy to navigate, Telegram is just the best of it, then Discord, X Communities, etc. These platforms are already popular and safe for growth. Do not complicate your community by using an unknown platform just because it looks new or trendy. A community manager and a growth manager. Many people function as both, but if you want a well organized system, find a growth manager and a community manager in different persons. I understand if you want to operate on a tiny team, but the moment you can afford to split the roles, do it, because the community manager is meant to hold the house down, keep people talking, settle issues, welcome newcomers, while the growth manager is meant to go out and bring in fresh faces through campaigns, partnerships and activations. When one person is doing both, something always suffers, usually growth, because the day to day moderation will always feel more urgent. A reason for the community to exist beyond just existing. Before you open that Telegram group, ask yourself what the group is actually for. Is it for education, is it for support, is it for collecting feedback, is it to build brand awareness, is it for governance down the line. A lot of communities just open a group because everyone else has one, and after the first excitement dies down nobody can explain why members should still be there. A culture that you actually design. Every community that lasts has a personality, you can feel it the moment you enter. How do people talk to each other there, what kind of jokes fly, what kind of behaviour gets called out, what is tolerated and what is not. If you don't decide this early, the loudest or most toxic voices will decide it for you, and by the time you notice, it has already become the culture. Activities that keep happening even when there's nothing major to announce. This is where most projects lose people. They show up loud during launch, then go quiet for weeks while building, and the community just sits there with nothing to do. AMAs, small contests, discussions, recurring rituals, simple updates on progress, even just regular check ins, these things keep the room alive in between the big news. A way for your most active members to grow with you. The people who show up every day, answer questions before you do, defend the project when someone attacks it, these people need to see a path forward. Moderator roles, ambassador programs, chances to create content, early access to test new features. When people can see themselves having a future in what you're building, they stay longer and they push harder. A way to actually listen to what the community is telling you. Your community will complain, suggest, request features, and drop hints about what's working and what's not, often without even realizing they're doing it. If you have no system to catch these things, you lose some of the most honest product feedback you'll ever get for free. Some way of tracking whether all of this is even working. Growth, retention, how many people are actually engaging versus just sitting silently, how many of them convert into users or customers, how many actually participate when you ask something of them. If you're not tracking any of this, you're just guessing, and you won't know what to fix until the whole thing has gone quiet. At the end of the day, community is not a Telegram group, a Discord server, or a follower count. Community is infrastructure. And projects that treat it like infrastructure almost always outperform those that treat it like an afterthought.

Guys, @roamapp now supports solana.

@ja_akinyele Hello, Mr Ayo. I would love to connect with you.

As XRPL expands the financial capabilities built directly into the protocol, the rigor applied to security, testing, and validation must evolve alongside it. Security doesn't come from any single review. It comes from layers of testing, validation, and continuous improvement. Over the past year, XRPL's Lending Protocol and Single Asset Vault have undergone multiple independent audits, a public Attackathon, formal verification, AI-assisted reviews, community testing, and validator review. Sharing a look at the work, findings, and lessons learned on the road toward mainnet. @RippleXDev dev.to/ripplexdev/the…

@qmbigbeat High value reports only!

We must be ever vigilant to stay pertinent. Alex Karp said only two types of people will matter in the future: those with vocational training and those that are #neurodivergent

Yes, it's designed for web3 teams who want to keep better track of what their community is saying. It measures community sentiment in near-realtime and delivers weekly reports in their inbox (slack, email, or notion) so that their engineers and builders can be better informed about user feedback. We're also one of the only platforms that supports Discord and Telegram as sources. We offer 1 free weekly report to anyone that is interested in trying it out

ai wallets are one of the most overlooked ideas in tech right now. the word "wallet" tends to make people think of a place to store cryptocurrency, the same way you store cash in a physical wallet. but that framing misses what a wallet actually does. a wallet is how an entity participates in an economy. it is how something receives money, sends money, owns assets, and interacts with markets. when you think about it that way, the idea of an ai having a wallet starts to make a lot more sense. here is something worth paying attention to. for a long time, every financial system, every payment network, every marketplace was built on a single assumption: the only participants in any economy were humans. ai agents are starting to quietly challenge that. these are not just chatbots answering questions. modern ai agents can conduct research, analyze large amounts of information, coordinate complex workflows, manage operations, and make decisions within boundaries that humans set for them. they are becoming genuinely useful in ways that create real economic value. and when something creates economic value, it eventually needs a way to interact with the economy around it. think about what that looks like in practice. an ai agent that helps businesses find new customers could automatically receive payment every time it delivers results. an ai research agent could purchase access to datasets and reports without waiting for a human to approve each transaction. an ai travel agent could book flights, reserve hotels, and handle an entire trip, paying for everything as it goes. an ai shopping agent could browse products, compare prices, negotiate deals, and complete purchases without you lifting a finger. none of these things can happen at scale without the ai having some form of economic identity. that requires a wallet. the deeper point is about what ai is becoming. for most of the history of software, programs were treated as tools. tools do not own things. tools do not send or receive money. tools do not show up in a marketplace as independent participants. but ai agents are slowly making that old definition feel outdated. they are not just executing instructions anymore. they are taking actions, producing outcomes, and in some cases, generating value that needs to flow somewhere. this is why the combination of ai and web3 matters. ai gets described as the next big computing platform. web3 gets described as the infrastructure for digital ownership and open financial systems. when those two things come together, ai wallets could become one of the most important building blocks connecting intelligence, ownership, identity, and economic activity in a single system. the most transformative developments in ai might not come from better chat interfaces. they might come from ai systems that can think, take action, transact with the world, and create value on their own.

the future of AI agents is delegation. most people talk about AI agents as if they're just smarter chatbots, and I think that's missing the bigger picture entirely. When people hear the term AI agent, they imagine something that can answer questions, write emails, hold a conversation. But I don't think that's where this is going. The future of AI agents is not just conversation. The future of AI agents is delegation. for most of human history, we have been building tools to reduce physical labor. We built machines to lift heavier things than we could lift ourselves. We built vehicles to move faster than our own legs could carry us. We built factories to produce more than our hands ever could alone. Every major technological revolution helped humans do more while putting in less physical effort. AI feels different because it is going after something we have never really automated at this scale before, and that's cognitive labor. Planning, research, coordination, decision support, problem solving, all the things that happen inside our heads before any physical work even starts. today, if you want something done, you really only have two options. You do it yourself, or you find another human to do it for you. So what happens the moment there's a third option. An agent. Not a chatbot, not a search engine, but a system that can actually understand an objective, break it down into smaller tasks, gather the information it needs, use the right tools, make decisions along the way, and execute the work on your behalf without you holding its hand through every step. that changes the entire relationship between humans and software. For decades, software has been a tool in the truest sense, you tell it exactly what to do and it does exactly that and nothing more. AI agents are pushing us toward something different, where you tell it the outcome you want, and it figures out how to get there on its own. That might sound like a small difference on paper, but it's actually a completely different model of computing underneath. the more I think about it, the more I believe future software will resemble employees more than it resembles tools. You won't be opening ten different applications just to finish one project. You will assign objectives to agents and let them run with it. You won't spend your evening comparing flights, gathering research, organizing information, replying to emails, updating spreadsheets one by one. You will delegate those tasks the same way a manager delegates to a team today, except tomorrow it might just be you coordinating a small network of agents instead of people. but there's another side to this that fascinates me even more. Every organization is already, in a way, a collection of specialized agents. Salespeople handle sales. Accountants handle the finances. Marketers handle distribution. Researchers gather the information everyone else needs. Lawyers manage the legal side of things. Each person in a company is really just performing one specific function inside a much larger system. So what happens when AI becomes capable of performing some of those same functions. What happens when companies start scaling not by hiring more people, but by deploying more agents instead. at that point, the question stops being whether AI can answer questions well. The real question becomes whether AI can perform economically valuable work, because that's where the actual value has always lived. the future of AI may not really be about building machines that think like humans. It may be about building systems that can reliably sit alongside humans and contribute to the economy in their own lane. And if that ends up being true, we might end up looking back at chatbots the way we now look back at the first mobile phones, important for their time, but really just the opening chapter of something much bigger. which makes me wonder, if every person eventually has access to their own team of intelligent agents working quietly in the background, what becomes the new limit on human productivity. What's left to slow us down once the bottleneck stops being time and starts being something else entirely. the nuance most people miss in all of this is simple. AI agents are becoming a new layer that sits above software. The same way an operating system sits above hardware and you never have to think about the hardware directly, agents may eventually sit above every application you use. Instead of learning how to use ten different tools, you'll just tell an agent what outcome you want, and it quietly decides which software, which APIs, which workflows to stitch together behind the scenes to get you there. That's a deeper shift than it sounds like on the surface, and it's part of why a lot of people quietly believe agents could end up being a bigger market than chatbots ever were. we are getting there...

ai wallets are one of the most overlooked ideas in tech right now. the word "wallet" tends to make people think of a place to store cryptocurrency, the same way you store cash in a physical wallet. but that framing misses what a wallet actually does. a wallet is how an entity participates in an economy. it is how something receives money, sends money, owns assets, and interacts with markets. when you think about it that way, the idea of an ai having a wallet starts to make a lot more sense. here is something worth paying attention to. for a long time, every financial system, every payment network, every marketplace was built on a single assumption: the only participants in any economy were humans. ai agents are starting to quietly challenge that. these are not just chatbots answering questions. modern ai agents can conduct research, analyze large amounts of information, coordinate complex workflows, manage operations, and make decisions within boundaries that humans set for them. they are becoming genuinely useful in ways that create real economic value. and when something creates economic value, it eventually needs a way to interact with the economy around it. think about what that looks like in practice. an ai agent that helps businesses find new customers could automatically receive payment every time it delivers results. an ai research agent could purchase access to datasets and reports without waiting for a human to approve each transaction. an ai travel agent could book flights, reserve hotels, and handle an entire trip, paying for everything as it goes. an ai shopping agent could browse products, compare prices, negotiate deals, and complete purchases without you lifting a finger. none of these things can happen at scale without the ai having some form of economic identity. that requires a wallet. the deeper point is about what ai is becoming. for most of the history of software, programs were treated as tools. tools do not own things. tools do not send or receive money. tools do not show up in a marketplace as independent participants. but ai agents are slowly making that old definition feel outdated. they are not just executing instructions anymore. they are taking actions, producing outcomes, and in some cases, generating value that needs to flow somewhere. this is why the combination of ai and web3 matters. ai gets described as the next big computing platform. web3 gets described as the infrastructure for digital ownership and open financial systems. when those two things come together, ai wallets could become one of the most important building blocks connecting intelligence, ownership, identity, and economic activity in a single system. the most transformative developments in ai might not come from better chat interfaces. they might come from ai systems that can think, take action, transact with the world, and create value on their own.

ai wallets are one of the most overlooked ideas in tech right now. the word "wallet" tends to make people think of a place to store cryptocurrency, the same way you store cash in a physical wallet. but that framing misses what a wallet actually does. a wallet is how an entity participates in an economy. it is how something receives money, sends money, owns assets, and interacts with markets. when you think about it that way, the idea of an ai having a wallet starts to make a lot more sense. here is something worth paying attention to. for a long time, every financial system, every payment network, every marketplace was built on a single assumption: the only participants in any economy were humans. ai agents are starting to quietly challenge that. these are not just chatbots answering questions. modern ai agents can conduct research, analyze large amounts of information, coordinate complex workflows, manage operations, and make decisions within boundaries that humans set for them. they are becoming genuinely useful in ways that create real economic value. and when something creates economic value, it eventually needs a way to interact with the economy around it. think about what that looks like in practice. an ai agent that helps businesses find new customers could automatically receive payment every time it delivers results. an ai research agent could purchase access to datasets and reports without waiting for a human to approve each transaction. an ai travel agent could book flights, reserve hotels, and handle an entire trip, paying for everything as it goes. an ai shopping agent could browse products, compare prices, negotiate deals, and complete purchases without you lifting a finger. none of these things can happen at scale without the ai having some form of economic identity. that requires a wallet. the deeper point is about what ai is becoming. for most of the history of software, programs were treated as tools. tools do not own things. tools do not send or receive money. tools do not show up in a marketplace as independent participants. but ai agents are slowly making that old definition feel outdated. they are not just executing instructions anymore. they are taking actions, producing outcomes, and in some cases, generating value that needs to flow somewhere. this is why the combination of ai and web3 matters. ai gets described as the next big computing platform. web3 gets described as the infrastructure for digital ownership and open financial systems. when those two things come together, ai wallets could become one of the most important building blocks connecting intelligence, ownership, identity, and economic activity in a single system. the most transformative developments in ai might not come from better chat interfaces. they might come from ai systems that can think, take action, transact with the world, and create value on their own.

Meet Quant AI. Your AI companion for money. See what Quant AI sees 👉 tryquant.io

@BintSaleem74 @m_hrobo @shum_aila123 @m_asoom01 @Shah_g123456 @Sila_7r7n lets connect, i'll do so immediately

Assalam o Alaikum wa Rahmatullah wa Barakatuh Anwar Saeed urf Masoom iske paanch accounts mere paas hain. Please koi bhai ya behan in paanch accounts par DM na kare 1 @m_hrobo 2 @shum_aila123 3 @m_asoom01 4 @Shah_g123456 5 @Sila_7r7n