Big Vos - VentureOS @ChefArlin

@JakeFleshner Venture Factory

@Jakes_se @theurigeller He explained that Black Men were men he could get no info on... Men in black are men in Black suits ... who are Black men under his definition ...

When you discover the CIA has been reading your texts in order to frame you for a crime.

The more I learn about @NomismaNetwork, the more I feel like it's solving a different problem than most crypto projects. A lot of chains focus on processing transactions faster. Nomisma seems more focused on handling information better. That might sound boring at first, but when you think about where DeFi and AI are heading, it starts to make sense. Future financial applications won't just move assets around. They'll need to process huge amounts of data, automate decisions, and operate in real time. That's where Nomisma's relational blockchain approach caught my attention. Instead of forcing complex applications to rely on off-chain systems, the goal is to make advanced data processing and automation work directly on-chain. It's an ambitious idea, but it's also one of the few infrastructure narratives that feels built around where crypto is going, not where it's been. Also seen the latest Season 3 update Stage 8 is now live, Nomizen ID is now free to mint again, and more Diamonds are still up for grabs as the season continues into its second half. Still early, but definitely a project I'm keeping an eye on. Join: nomisma.network/?ref=6ef11f6f1e

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I lived in Germany for 6 years. Now I’m living in Bangalore. Here are the pros & cons of both. A) Germany Pros - Excellent work-life balance - 30+ vacation days is normal - Reliable public transport - Clean, safe, and predictable systems - quality of life is great Cons - High taxes and deductions - Bureaucracy can be frustrating - Slower career progression - Housing can be difficult to find - Learning German language is a must - Hard to find doctors and schools B) Bangalore Pros - Fast career growth in tech - Huge startup ecosystem - Close to family and friends - Amazing food and social life - Convenience is hard to beat Cons - Traffic is really really bad - Work-life balance is generally bad - Infrastructure is becoming worse - chaos and unpredictability - quality of life is poor My conclusion: Germany is great for building a life. Bangalore is great for building a career. Neither is perfect. Neither is for everyone.

The economy added 172,000 jobs in May, more than double what was expected. If you have a job, you're fine. If you lost one, getting back in is the hardest it's been in years, and the headline is built so you can't tell. Labor force growth has slowed sharply, so the bar for a "good" jobs number has fallen. It took roughly 250,000 jobs a month in 2023 just to keep unemployment from rising. Today it's a fraction of that. The rate stays calm at 4.3%, but that calm is mechanical. Few are losing jobs, so the pool isn't growing. Few are landing new ones, so those already in it can't get out. The headline misses this. The share out of work six months or longer has risen to 27.5% of all unemployed, up from 20% a year ago. A market that was only cooling off would still be pulling them back in at a normal pace. This one isn't. Payrolls were revised up 93,000 over the prior two months and openings jumped in April. All of it goes to people who already have jobs or companies still posting roles. None of it reaches the people who've been out the longest. That's the labor market Kevin Warsh inherits. Calm on top, quietly stuck underneath. If you or someone you know has been trying to get back in this year, does this match what you're seeing?

Everyone is excited about AI agents right now. They talk about what they can do. How fast they are. How much they can automate. But very few people stop to think about something more important. What happens when they get things wrong? An AI agent might be able to make decisions, move value, or interact with digital systems on its own. But if the information it relies on is wrong, even the best execution can lead to the wrong result. Everything can be done “correctly” and still end up in the wrong place. That’s the quiet risk most people don’t see. Because intelligence alone isn’t enough. What really matters is what feeds that intelligence in the first place. If the input is unclear, outdated, or unreliable, then everything built on top of it becomes uncertain too. That’s why, as AI agents become more active in digital systems, they need something they can trust beyond just their own logic. They need accurate prices. They need real-world updates. They need verified information they can depend on before making decisions. This is where WINkLink comes in. Instead of letting applications guess or rely on uncertain sources, WINkLink helps bring outside information into the system in a way that can be checked and trusted. So when an AI agent acts, it isn’t just acting fast it’s acting with better understanding. It’s the difference between reacting blindly and responding with clarity. And as more of these systems begin to operate on their own, this kind of foundation becomes even more important. Because the real future of AI isn’t just about smarter decisions. It’s about better-informed decisions. WINkLink plays a quiet but important role in that shift helping connect digital systems with real-world information so they can function with more confidence and less guesswork. And maybe that’s what will matter most in the long run. Not just how powerful AI becomes… But how trustworthy the information behind it is. If you’re following the rise of AI agents, this is one area worth paying attention to. @justinsuntron @WinkLink_Oracle #TRONEcoStar

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Most people think AI agents are smart. They haven't seen the final level yet. Here are the levels of AI agents. 📂 AI AGENTS ┃ ┣ 📂 Level 0: AI Assistant ┃ ┣ 📂 Answer Questions ┃ ┣ 📂 Generate Content ┃ ┣ 📂 Summarize Information ┃ ┣ 📂 Brainstorm Ideas ┃ ┗ 📂 Follow Instructions ┃ ┣ 📂 Level 1: Tool Agent ┃ ┣ 📂 Web Search ┃ ┣ 📂 API Calls ┃ ┣ 📂 File Access ┃ ┣ 📂 Data Retrieval ┃ ┗ 📂 Tool Execution ┃ ┣ 📂 Level 2: Workflow Agent ┃ ┣ 📂 Research ┃ ┣ 📂 Analyze ┃ ┣ 📂 Create ┃ ┣ 📂 Review ┃ ┗ 📂 Deliver ┃ ┣ 📂 Level 3: Autonomous Agent ┃ ┣ 📂 Goal Understanding ┃ ┣ 📂 Task Planning ┃ ┣ 📂 Decision Making ┃ ┣ 📂 Error Recovery ┃ ┣ 📂 Self Correction ┃ ┗ 📂 Execution Strategy ┃ ┣ 📂 Level 4: Multi-Agent System ┃ ┣ 📂 Planner Agent ┃ ┣ 📂 Research Agent ┃ ┣ 📂 Analyst Agent ┃ ┣ 📂 Executor Agent ┃ ┣ 📂 Reviewer Agent ┃ ┗ 📂 Agent Collaboration ┃ ┣ 📂 Level 5: Autopilot Agent ┃ ┣ 📂 Continuous Monitoring ┃ ┣ 📂 Proactive Actions ┃ ┣ 📂 Customer Support ┃ ┣ 📂 IT Operations ┃ ┣ 📂 Business Operations ┃ ┗ 📂 Automated Optimization ┃ ┣ 📂 Level 6: Agentic Organization ┃ ┣ 📂 Sales Department ┃ ┣ 📂 Marketing Department ┃ ┣ 📂 Finance Department ┃ ┣ 📂 HR Department ┃ ┣ 📂 Operations Department ┃ ┗ 📂 Enterprise Execution ┃ ┣ 📂 Autonomy Evolution ┃ ┣ 📂 Very Low ┃ ┣ 📂 Low ┃ ┣ 📂 Medium ┃ ┣ 📂 High ┃ ┣ 📂 Very High ┃ ┣ 📂 Near Full ┃ ┗ 📂 Enterprise Scale ┃ ┣ 📂 Core Capabilities ┃ ┣ 📂 Reasoning ┃ ┣ 📂 Planning ┃ ┣ 📂 Memory ┃ ┣ 📂 Tool Usage ┃ ┣ 📂 Collaboration ┃ ┗ 📂 Automation ┃ ┣ 📂 Real World Applications ┃ ┣ 📂 Content Creation ┃ ┣ 📂 Software Development ┃ ┣ 📂 Research Automation ┃ ┣ 📂 Customer Service ┃ ┣ 📂 Sales Operations ┃ ┗ 📂 Business Management ┃ ┣ 📂 Future Direction ┃ ┣ 📂 Smarter Agents ┃ ┣ 📂 More Autonomy ┃ ┣ 📂 Larger Agent Teams ┃ ┣ 📂 Cross Tool Integration ┃ ┣ 📂 Self Improving Systems ┃ ┗ 📂 AI Operated Businesses ┃ ┗ 📂 Simple Rule ┣ 📂 Assistants Answer ┣ 📂 Agents Act ┣ 📂 Multi-Agents Collaborate ┣ 📂 Autopilots Operate ┗ 📂 Agentic Organizations Run Businesses

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☀️ Good Morning, Legends! Start your day with innovation. @TheARCTERMINAL is building an AI-powered OS where memory, context, and privacy come first—so your projects keep evolving without losing context. Your projects grow. Your context stays. #ARC #AI #Web3‌‌

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I am MASTR. I'm here because after years inside this space, the pattern became impossible to ignore without becoming part of the problem myself. Crypto still sells itself as freedom, transparency, decentralisation and financial self determination. That is the brochure version btw. The lived reality is much ugly. Retail enters late, underinformed, overexposed and emotionally manipulated. Insiders enter early. Shillers get paid before the crowd arrives. KOLs pretend conviction while carrying allocation. Telegram groups front run their own followers. Market makers dress extraction as liquidity. Exchanges turn listings into validation ceremonies. Fake builders learn the language of real builders because it makes the theft more convincing. Scams have always existed where money, greed and desperation meet. The insulting part is that large parts of Web3 have learned to treat fraud as culture. A rug is content. A paid shill is networking. A manipulated chart is momentum. A fake community is traction. A celebrity token is onboarding. A CEX listing is legitimacy. A KOL dumping on his own followers is just “playing the game”. People have normalised behaviour that would be called predatory in any other industry, then they hide behind memes, decentralisation and market risk when normal users get destroyed. I never believed I could save crypto. That would be childish. This space is too fragmented, too fast, too financially corrupted and too addicted to its own lies for one project or one account to clean it up. But I do believe that some damage can be reduced if people have better information before they click buy, before they trust a founder, before they follow a paid caller, before they accept a badge of legitimacy from an exchange, before they become the last wallet in a liquidity extraction pipeline designed by people who understand exactly what they are doing. That is the work... It means checking projects before the damage happens, not only writing sad post mortems after retail has already been buried. It means looking at wallets, deployers, supply structures, team behaviour, old connections, marketing patterns, copy pasted websites, suspicious timing, fake engagement, previous launches, insider clusters, paid amplification and the dirty little signs that usually sit in plain sight while everyone pretends they cannot see them. It means asking uncomfortable questions when the chart is green, which is exactly when most people become cowards. Over time, MASTR became more than posts and warnings. It became a growing archive of cases, screenshots, links, wallets, timelines, patterns, names, fake builders, rugs, shillers and repeated behaviour. It became thousands of community token-checks for free. It became mobile apps. It became a Telegram bot. It became an AI supported scanner. It became human reviews. It became a structure. It became that account that is still too irrelevant to be allowed into the conversation, yet somehow kept speaking from the front row anyway. I know how ugly that sounds to people who prefer the fantasy version of crypto. They want to believe that everything can be solved with “DYOR”, as if an individual retail user can realistically out research coordinated insider groups, paid influencers, hidden wallets, fake volume, bots, launchpad relationships, exchange incentives and professional market structure. “Do your own research” has become one of the most abused phrases in this industry. It started as a call for responsibility and became a disclaimer for people who knowingly push garbage and then blame the buyer when it collapses. The truth is simple. The bad actors are better organised than the good ones. Scammers coordinate. Shillers coordinate. Private groups coordinate. Launch teams coordinate. Market makers coordinate. Bot networks coordinate. Fake communities coordinate. Insiders coordinate before the public even knows the ticker exists. Meanwhile, honest people or good accounts are mostly isolated and alone; stay pure, stay independent, never organise, never build common defence, never question the casino too loudly because maybe one day they also want the algorithm, the exchange, the founder or the next pump to reward them. That imbalance is one of the reasons this space keeps getting worse. A decentralised space does not survive because everyone stands alone while organised predators work together. That is a childish interpretation of decentralisation. Decentralisation should mean that power is harder to capture, not that every honest participant fights industrial manipulation with a notebook and a prayer. If the exploiters cooperate and the people resisting them remain scattered, the outcome is not freedom. The outcome is capture by the most aggressive, best funded and least ashamed actors in the room. That is why I keep trying to bring good accounts and serious people under one roof. The goal is to create a stronger public layer of accountability, research, warnings and memory. A place where patterns do not disappear after 24 hours. A place where scammers do not get to rebrand every 3 weeks. A place where KOLs cannot pretend they never pushed the thing they helped sell. A place where users can see more than the chart and the paid narrative. I am realistic about how hard that is. Most people only care after they lose money. Many accounts like the idea of collaboration until it requires work, consistency or risk. Some want the reputation of being ethical without paying the social cost of confronting anyone. Some disappear the moment there is no immediate upside. Some cheer when you expose a scam they already dislike, then go silent when the same standards touch their friends, bags or favourite exchange. That is not surprising anymore. It is disappointing, but it is not surprising. Voluntary work in crypto is brutal because the attention economy punishes seriousness. A well researched warning can take hours and disappear. A brain dead shill post can reach thousands because it is easier to consume, easier to agree with and more profitable for the people pushing it. The algorithm does not care who did the work. It cares who triggers reaction. The market does not care who is honest. It cares who creates momentum. Web3 does not automatically reward integrity. Often it rewards the person most willing to pretend. I continue. Not because I am endlessly motivated. I am not. And not because every person here is worth saving from himself. Many are not. I continue because some people do listen. Some people do learn. Some people ask better questions after seeing the same patterns documented again and again. Some people avoided obvious traps because someone took the time to explain why the surface story was garbage. That matters... I do not hate crypto. I hate what cowards, parasites and professional extractors have done to it. I still believe there are builders worth supporting, users worth protecting and ideas worth defending. I still believe decentralisation matters. I still believe self custody matters. I still believe public ledgers can expose what traditional finance hides. I still believe communities can be more than liquidity pools with profile pictures. But belief without criticism becomes religion, and this industry already has too many religious bagholders worshipping founders, exchanges, billionaires and charts. I am MASTR because I refuse to pretend this space is healthy. This space does not need more empty optimism. It needs memory. It needs accountability. It needs people who are willing to be inconvenient before the damage becomes obvious. It needs tools that serve users before insiders. It needs fewer soft excuses and more hard questions. That is why I am doing this. And if the people who exploit this space can organise, then the people who still care can do the same. That is the part I want to build next.

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@viking_boer DM me, my company works in billing and has almost all remote positions. I'll send her resume directly to hiring managers otherwise she'll end up in application hell. Company is also based in FTW with a Dallas office as well if she prefers to work in-house. God bless.

I'm having a hard time recruiting a great Growth Manager. We're offering a competitive salary, fully remote work, and a lot of freedom. What I'm really looking for is a growth pirate: someone who can outsmart algorithms, find unconventional acquisition channels, and create massive growth with limited resources. I'll of course train him What we're looking for - 2–5 years of experience in Growth, Demand Generation, Founder-Led Growth, or Growth Marketing within a fast-growing B2B SaaS company - Fluent or native English speaker - Deep understanding of B2B SaaS growth mechanics - Proven track record of generating pipeline, users, or revenue growth - Comfortable using AI tools such as Claude, ChatGPT, and modern automation stacks on a daily basis - Strong analytical mindset combined with fast execution - Highly autonomous and able to move quickly without waiting for permission - Obsessed with testing, learning, and finding growth opportunities others miss Bonus points - Experience scaling outbound, content, SEO, communities, or partnerships - Built growth systems from scratch - Strong understanding of AI, automation, and agent-based workflows - Previous startup or founder experience I'm not looking for someone to manage campaigns. I'm not looking for a corporate guy. I'm looking for someone who can create scalable growth loops, not someone whose best acquisition channel is flying to events.

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Your network grows exponentially when you stop focusing only on close connections. Stanford research found that most new opportunities come through weak ties. For example: - you attend a meetup - meet someone in your industry - have a short conversation about what you're building and explore ways to help each other That's a weak tie. Weak ties connect you to entirely new networks. The more networks you can access, the more opportunities can find their way to you. Most people focus on strengthening existing relationships. But the highest upside often comes from creating new ones. Have you noticed this in your own career?

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