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Our launch decisions dropped from 3 days to 1. The workload stayed the same. The difference was what happened before our team logged in. We manage launches across content, partnerships, and operations. The problem was never a lack of information. It was getting the right context in front of... everyone before a decision had to be made. At first, I treated Viktor like another assistant and kept giving him isolated tasks. That was the wrong approach. The moment it clicked was when our team gave him responsibility for the work surrounding each launch. He reviewed updates, organized pending approvals, surfaced blockers, and prepared the context before standup. Viktor proposed the next steps. Our team reviewed and approved them. Now, instead of spending three days gathering information across different people and conversations, we can often make the decision within one. A copilot helps you work. An AI employee works when you don’t. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnershipshow more

Kaitee

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52,018 次观看 • 13 天前 •via X (Twitter)

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Our team was spending around 6+ hours every week figuring out where projects actually stood. The work wasn't the problem. Finding the latest context was. I run a team where multiple projects move at the same time, so keeping everyone aligned used to mean checking dozens of Slack conversations every day. That worked for a while. Until it didn't. The turning point wasn't asking Viktor better questions. It was giving him one recurring responsibility. Stay on top of every active project. Now he keeps track of progress, highlights anything that's stalled, prepares updates before meetings, and gives the team one place to review what actually needs attention. Nobody has to chase information anymore. The work is already organized before we start. That one change probably saved more time than any prompt I've ever written. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership.

Our team was spending around 6+ hours every week figuring out where projects actually stood. The work wasn't the problem. Finding the latest context was. I run a team where multiple projects move at the same time, so keeping everyone aligned used to mean checking dozens of Slack conversations every day. That worked for a while. Until it didn't. The turning point wasn't asking Viktor better questions. It was giving him one recurring responsibility. Stay on top of every active project. Now he keeps track of progress, highlights anything that's stalled, prepares updates before meetings, and gives the team one place to review what actually needs attention. Nobody has to chase information anymore. The work is already organized before we start. That one change probably saved more time than any prompt I've ever written. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership.

Kaitee

59,483 次观看 • 27 天前

The first campaign Viktor reviewed caught problems we didn't even know were there. We're a digital marketing team managing campaigns across multiple ad platforms, and before every launch someone on the team would manually check tracking, landing pages, targeting, budgets, creatives, and campaign settings. It was repetitive work, but missing just one detail could turn into wasted budget or inaccurate reporting. Instead of asking Viktor to help with individual checks, we gave him ownership of our entire campaign launch QA workflow. The first thing that stood out wasn't how quickly he worked. It was how thorough he was. Across one month, Viktor completed QA for 30 campaigns, executed 330 automated checks, and identified 47 issues, including 14 critical errors that could have affected campaign performance before a single campaign went live. By the time our team stepped in, all that was left was reviewing his findings and approving the launch. That completely changed the way we approached campaign launches. Instead of spending 65 hours every month on manual QA, our workflow was reduced to just 10.5 hours of strategic review giving our team back an estimated 54.5 hours to focus on optimization instead of repetitive checks. The biggest takeaway wasn't the time we saved. It was knowing every campaign went through the same level of quality control before launch. That's the difference we've started seeing between an AI assistant and an AI employee. An assistant waits for prompts. An AI employee owns recurring work while your team focuses on the decisions that matter most. Every campaign your team launches without this is a risk someone on your team is quietly absorbing. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #MarketingOps #DigitalMarketing Paid Partnership

The first campaign Viktor reviewed caught problems we didn't even know were there. We're a digital marketing team managing campaigns across multiple ad platforms, and before every launch someone on the team would manually check tracking, landing pages, targeting, budgets, creatives, and campaign settings. It was repetitive work, but missing just one detail could turn into wasted budget or inaccurate reporting. Instead of asking Viktor to help with individual checks, we gave him ownership of our entire campaign launch QA workflow. The first thing that stood out wasn't how quickly he worked. It was how thorough he was. Across one month, Viktor completed QA for 30 campaigns, executed 330 automated checks, and identified 47 issues, including 14 critical errors that could have affected campaign performance before a single campaign went live. By the time our team stepped in, all that was left was reviewing his findings and approving the launch. That completely changed the way we approached campaign launches. Instead of spending 65 hours every month on manual QA, our workflow was reduced to just 10.5 hours of strategic review giving our team back an estimated 54.5 hours to focus on optimization instead of repetitive checks. The biggest takeaway wasn't the time we saved. It was knowing every campaign went through the same level of quality control before launch. That's the difference we've started seeing between an AI assistant and an AI employee. An assistant waits for prompts. An AI employee owns recurring work while your team focuses on the decisions that matter most. Every campaign your team launches without this is a risk someone on your team is quietly absorbing. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #MarketingOps #DigitalMarketing Paid Partnership

Kylie

92,501 次观看 • 1 个月前

We wanted to know if Viktor could own a real job. Our first pilot reduced a five-client reporting workflow from 12 to 15 hours of manual work to roughly an hour of team review. We're a digital marketing team managing paid media performance and client reporting, so we decided to test Viktor on one recurring workflow that every agency knows too well. Weekly reporting. Viktor didn't just summarize data. He produced a complete five-page report with an executive summary, funnel insights, channel performance, recommendations, and a final review checklist. Our team's job became reviewing and approving the work instead of building every report from scratch. That was the moment we stopped thinking about AI as another chat window. The real value wasn't getting better answers. It was handing off a recurring job and getting consistent work back every week while keeping our team in control of the final decision. Most AI tells you what to do. Viktor does it. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership.

We wanted to know if Viktor could own a real job. Our first pilot reduced a five-client reporting workflow from 12 to 15 hours of manual work to roughly an hour of team review. We're a digital marketing team managing paid media performance and client reporting, so we decided to test Viktor on one recurring workflow that every agency knows too well. Weekly reporting. Viktor didn't just summarize data. He produced a complete five-page report with an executive summary, funnel insights, channel performance, recommendations, and a final review checklist. Our team's job became reviewing and approving the work instead of building every report from scratch. That was the moment we stopped thinking about AI as another chat window. The real value wasn't getting better answers. It was handing off a recurring job and getting consistent work back every week while keeping our team in control of the final decision. Most AI tells you what to do. Viktor does it. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership.

Sean Wallace

51,510 次观看 • 1 个月前

$I realized we weren't waiting on clients. We were waiting on approvals. I run a digital marketing agency, and before every campaign launch the same thing happened. Someone asked if the creative had been approved. Someone else checked whether the copy was signed off. Another person chased budget approval. Then somebody opened three different spreadsheets just to figure out what was still missing. Launching the campaign wasn't stressful. Figuring out whether we were actually ready to launch was. For a while, I assumed that was just part of running an agency. The bigger we got, the more Slack messages we sent. The more follow-ups we wrote. The more time disappeared into checking whether everyone else had done their part. Everything changed when I stopped using Viktor as another AI tool and gave him ownership of our approval and launch coordination workflow. Now my team hands Viktor the campaign requirements. He tracks every approval, follows up automatically, flags blockers before they delay launches, verifies every asset, runs launch readiness checks, and prepares the final launch confirmation before anyone on the team reviews it. Last month that meant coordinating 10 campaigns across 5 clients, completing 40 approval workflows and preparing 90 launch deliverables before our team stepped in. What used to consume 83.5 hours of manual work now requires a fraction of that effort, reducing manual work by 88%. The biggest shift wasn't moving faster. It was no longer wondering whether a campaign was actually ready to launch. Most campaign delays aren't a capacity problem. They're an approval problem nobody assigned to anyone. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyOps #Marketing Paid Partnership$

I realized we weren't waiting on clients. We were waiting on approvals. I run a digital marketing agency, and before every campaign launch the same thing happened. Someone asked if the creative had been approved. Someone else checked whether the copy was signed off. Another person chased budget approval. Then somebody opened three different spreadsheets just to figure out what was still missing. Launching the campaign wasn't stressful. Figuring out whether we were actually ready to launch was. For a while, I assumed that was just part of running an agency. The bigger we got, the more Slack messages we sent. The more follow-ups we wrote. The more time disappeared into checking whether everyone else had done their part. Everything changed when I stopped using Viktor as another AI tool and gave him ownership of our approval and launch coordination workflow. Now my team hands Viktor the campaign requirements. He tracks every approval, follows up automatically, flags blockers before they delay launches, verifies every asset, runs launch readiness checks, and prepares the final launch confirmation before anyone on the team reviews it. Last month that meant coordinating 10 campaigns across 5 clients, completing 40 approval workflows and preparing 90 launch deliverables before our team stepped in. What used to consume 83.5 hours of manual work now requires a fraction of that effort, reducing manual work by 88%. The biggest shift wasn't moving faster. It was no longer wondering whether a campaign was actually ready to launch. Most campaign delays aren't a capacity problem. They're an approval problem nobody assigned to anyone. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyOps #Marketing Paid Partnership

Tyler Wayne

80,376 次观看 • 1 个月前

We tested 40+ AI tools in 6 months and shelved almost all of them. The one that stuck did not answer questions, he did the work. I run an AI creator channel and my team ships tool breakdowns and experiments every week. Most of what we review is a smarter search box. Useful, forgettable. Our editor brought in one AI teammate for a single job: turning raw call notes into publish-ready scripts. I almost pulled the plug in week 1 because the first drafts missed our voice. Then it clicked. We fed him our back catalog and it started matching tone across the whole workspace. Within weeks the spread happened. Our researcher handed off competitor pulls, our ops lead handed off the content calendar, and I handed off first-pass edits. That was capacity we could not buy: 3x the output with the same 4 people, and a hire we did not have to make this quarter. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #GenAI #contentops Paid Partnership

We tested 40+ AI tools in 6 months and shelved almost all of them. The one that stuck did not answer questions, he did the work. I run an AI creator channel and my team ships tool breakdowns and experiments every week. Most of what we review is a smarter search box. Useful, forgettable. Our editor brought in one AI teammate for a single job: turning raw call notes into publish-ready scripts. I almost pulled the plug in week 1 because the first drafts missed our voice. Then it clicked. We fed him our back catalog and it started matching tone across the whole workspace. Within weeks the spread happened. Our researcher handed off competitor pulls, our ops lead handed off the content calendar, and I handed off first-pass edits. That was capacity we could not buy: 3x the output with the same 4 people, and a hire we did not have to make this quarter. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #GenAI #contentops Paid Partnership

Kuria | AI

15,566 次观看 • 17 天前

The biggest bottleneck in our creative team wasn't creativity. It was everything that happened before and after it. We're a creative team running campaigns for our clients, designers, copywriters, and account leads under one roof. Designers waited on copy. Copywriters waited on briefs. Client approvals sat in inboxes. Launch dates slipped because nobody had a complete picture of where every asset actually stood. We kept adding project boards, checklists, and meetings. The work stayed just as chaotic. Everything changed when we brought Viktor into Slack and gave him ownership of our Creative Operations workflow. He organized every incoming brief, routed work to the right people, tracked every asset through production, monitored client approvals, managed revision cycles, maintained our brand library, and packaged campaigns for launch before anyone had to ask where things stood. The pipeline kept moving because someone finally owned it from start to finish. Over one simulated month, Viktor coordinated 68 creative briefs, tracked 214 design assets, managed 96 copywriting tasks, processed 112 client approval requests, completed 73 revision cycles, organized 340 brand assets, identified 17 production bottlenecks before deadlines slipped, and prepared 29 campaign launch packages. What normally consumed around 146 hours of manual coordination became just 24 hours of human review. An 84% reduction in manual effort. The biggest difference wasn't that we produced more creative. It was that our creatives finally spent their time creating instead of coordinating. How much of your team's week goes to the work around the work, not the work itself? Tell me I'm wrong. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreativeOps #MarketingOps Paid Partnership

Kylie

105,162 次观看 • 19 天前

We increased the number of client projects our team could comfortably manage without adding another person. The bottleneck turned out to be coordination, not headcount. I work with a team that's constantly juggling campaigns, client work, and internal reviews across Slack. At first, I kept Viktor away from anything important. I thought he'd be useful for internal tasks, but I wasn't ready to trust him with live work. That turned out to be the wrong approach. Once we started giving him recurring responsibilities, everything changed. Now he prepares weekly reports, keeps track of outstanding work, surfaces issues before they become problems, and gets everything ready for review. The team stays in control. Every decision still goes through us. But we spend far less time organizing work and a lot more time moving it forward. That's when I realized we hadn't added another AI tool. We'd added capacity. Seats are for tools. Employees are priced on output. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyLife Paid Partnership.

We increased the number of client projects our team could comfortably manage without adding another person. The bottleneck turned out to be coordination, not headcount. I work with a team that's constantly juggling campaigns, client work, and internal reviews across Slack. At first, I kept Viktor away from anything important. I thought he'd be useful for internal tasks, but I wasn't ready to trust him with live work. That turned out to be the wrong approach. Once we started giving him recurring responsibilities, everything changed. Now he prepares weekly reports, keeps track of outstanding work, surfaces issues before they become problems, and gets everything ready for review. The team stays in control. Every decision still goes through us. But we spend far less time organizing work and a lot more time moving it forward. That's when I realized we hadn't added another AI tool. We'd added capacity. Seats are for tools. Employees are priced on output. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyLife Paid Partnership.

Kaitee

57,401 次观看 • 20 天前

An agency added $133,752 in new annual recurring revenue in its first 30 days. No new hires. No new service line. That number made me stop scrolling. I spend a lot of time researching AI tools. The biggest time sink isn't testing them. It's comparing features, checking updates, and turning scattered information into something useful. So I tried Viktor Viktor is an AI employee that works inside Slack. I asked it to research the latest AI video generation tools, compare their features, pricing, and best use cases. Instead of starting from a blank page, I had a structured proposal waiting for review. I kept the final approval. Viktor handled the work. That reminded me of Nico Torres, Founder of Authority Makers. His team used Viktor to run work that simply wasn't getting done before, adding $133,752 in new annual recurring revenue in the first 30 days without adding headcount. Most AI tells you what to do. Viktor does the work. Try free at Viktor. $100 in credits included, no card. Full link in the first comment. #AIemployee #AITools #Productivity Paid Partnership

An agency added $133,752 in new annual recurring revenue in its first 30 days. No new hires. No new service line. That number made me stop scrolling. I spend a lot of time researching AI tools. The biggest time sink isn't testing them. It's comparing features, checking updates, and turning scattered information into something useful. So I tried Viktor Viktor is an AI employee that works inside Slack. I asked it to research the latest AI video generation tools, compare their features, pricing, and best use cases. Instead of starting from a blank page, I had a structured proposal waiting for review. I kept the final approval. Viktor handled the work. That reminded me of Nico Torres, Founder of Authority Makers. His team used Viktor to run work that simply wasn't getting done before, adding $133,752 in new annual recurring revenue in the first 30 days without adding headcount. Most AI tells you what to do. Viktor does the work. Try free at Viktor. $100 in credits included, no card. Full link in the first comment. #AIemployee #AITools #Productivity Paid Partnership

Sam brown | AI Tools & News

45,899 次观看 • 21 天前

An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line. I spend most of my time testing AI tools for content and outbound work, so I don't say that lightly. Every team I talk to has the same problem. The strategy is fine. The relationships are fine. What's missing is capacity, the high-value work sitting on the backlog because nobody has the hours to own it. I've watched teams try to fix that by hiring, or by bolting on another tool that just answers questions and calls it done. Then I read what happened at Authority Makers. Nico Torres, the founder, didn't hire and didn't add a service line. He gave Viktor the outbound and lead gen work that had been sitting untouched. $133,752 in new ARR in the first 30 days. Same team, same strategy. The only thing that changed was who was doing the work. Most AI tells you what to do. Viktor does it. Tell me I'm wrong. Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership

An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line. I spend most of my time testing AI tools for content and outbound work, so I don't say that lightly. Every team I talk to has the same problem. The strategy is fine. The relationships are fine. What's missing is capacity, the high-value work sitting on the backlog because nobody has the hours to own it. I've watched teams try to fix that by hiring, or by bolting on another tool that just answers questions and calls it done. Then I read what happened at Authority Makers. Nico Torres, the founder, didn't hire and didn't add a service line. He gave Viktor the outbound and lead gen work that had been sitting untouched. $133,752 in new ARR in the first 30 days. Same team, same strategy. The only thing that changed was who was doing the work. Most AI tells you what to do. Viktor does it. Tell me I'm wrong. Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership

Alex Moore

31,672 次观看 • 1 个月前

120 hours of finance busywork cut to 18 in one month. I’m Wesley. We run a small finance team that handles books, invoices and reports for our company. People waited on bank data. Accountants waited on receipts. Approvals sat in inboxes. Month-end always slipped because nobody had the full picture of where every number stood. We kept adding spreadsheets, checklists and extra meetings. The work stayed just as messy. Everything changed when we brought Viktor into Slack and gave him ownership of our Finance Operations workflow. He collected every incoming invoice, matched payments to the bank, tracked every expense, chased missing receipts, flagged mismatches, updated the cash position and packaged the weekly report before anyone had to ask. The books kept moving because someone finally owned them from start to finish. Over one month he processed 142 invoices, reconciled 87 bank transactions, tracked 56 expense reports, chased 31 missing receipts, flagged 9 discrepancies, updated the cash position 20 times and prepared 12 weekly finance packs. What used to take 120 hours of manual chasing became 18 hours of human review. The biggest difference wasn’t faster closes. It was that our finance people finally spent their time on the numbers instead of chasing them. How much of your team’s week goes to the work around the work, not the work itself? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership

120 hours of finance busywork cut to 18 in one month. I’m Wesley. We run a small finance team that handles books, invoices and reports for our company. People waited on bank data. Accountants waited on receipts. Approvals sat in inboxes. Month-end always slipped because nobody had the full picture of where every number stood. We kept adding spreadsheets, checklists and extra meetings. The work stayed just as messy. Everything changed when we brought Viktor into Slack and gave him ownership of our Finance Operations workflow. He collected every incoming invoice, matched payments to the bank, tracked every expense, chased missing receipts, flagged mismatches, updated the cash position and packaged the weekly report before anyone had to ask. The books kept moving because someone finally owned them from start to finish. Over one month he processed 142 invoices, reconciled 87 bank transactions, tracked 56 expense reports, chased 31 missing receipts, flagged 9 discrepancies, updated the cash position 20 times and prepared 12 weekly finance packs. What used to take 120 hours of manual chasing became 18 hours of human review. The biggest difference wasn’t faster closes. It was that our finance people finally spent their time on the numbers instead of chasing them. How much of your team’s week goes to the work around the work, not the work itself? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership

Wesley

71,884 次观看 • 18 天前

An agency added $133,752 in new ARR in 30 days. No new hires. Just work that wasn't getting done before. We run an AI-focused X account testing tools and workflows that actually save teams real time, not just add more steps. Most AI tools stop after giving you an answer. We wanted to see what happened when you gave one actual work to do. We added Viktor to our Slack workspace and connected him to our existing tools. Instead of bouncing between apps, we handed him work directly inside the workspace our team already uses. He started producing real outputs, not just suggestions. We asked him to summarize this week's AI news. He came back with a structured briefing: biggest stories, why they matter, key takeaways, and a thread-ready digest, all posted directly into Slack. It felt less like chatting with an AI and more like handing work to a teammate. We also ran a workflow that normally means switching between several apps and manually stitching everything together. Viktor handled it in the same place our team already collaborates. Reports, summaries, deliverables, done. That's what makes him different. The value isn't better answers. It's an AI employee who executes work that would otherwise sit on someone's to-do list. Nico Torres, Founder of Authority Makers, saw it in month one: $133,752 in new ARR from outbound work Viktor ran that previously had no one running it. Tell me I'm wrong, but this is what a non-human hire actually looks like in practice. Get started free at Viktor. $100 in credits included, no card. #AIemployee #AIWorkflows #ProductivityTools Paid Partnership

An agency added $133,752 in new ARR in 30 days. No new hires. Just work that wasn't getting done before. We run an AI-focused X account testing tools and workflows that actually save teams real time, not just add more steps. Most AI tools stop after giving you an answer. We wanted to see what happened when you gave one actual work to do. We added Viktor to our Slack workspace and connected him to our existing tools. Instead of bouncing between apps, we handed him work directly inside the workspace our team already uses. He started producing real outputs, not just suggestions. We asked him to summarize this week's AI news. He came back with a structured briefing: biggest stories, why they matter, key takeaways, and a thread-ready digest, all posted directly into Slack. It felt less like chatting with an AI and more like handing work to a teammate. We also ran a workflow that normally means switching between several apps and manually stitching everything together. Viktor handled it in the same place our team already collaborates. Reports, summaries, deliverables, done. That's what makes him different. The value isn't better answers. It's an AI employee who executes work that would otherwise sit on someone's to-do list. Nico Torres, Founder of Authority Makers, saw it in month one: $133,752 in new ARR from outbound work Viktor ran that previously had no one running it. Tell me I'm wrong, but this is what a non-human hire actually looks like in practice. Get started free at Viktor. $100 in credits included, no card. #AIemployee #AIWorkflows #ProductivityTools Paid Partnership

Farlane

101,043 次观看 • 1 个月前

Mark Cuban says he thought Kyrie Irving was a “team killer” before they traded for him “Honestly, before I did the work, I thought he was a team killer. There was no point, no reason for me to talk to people about him. It was just like, hey, if he doesn't want to play when the Mavs come to town, great. If things don't work out on another team, great” “But when the opportunity to trade for him came, it was like, okay, let's do the work. Nico did the work. Jason Kidd knew him. It was like, ‘Okay, let me talk to folks.’ And when you talk to players, they loved him. Nobody had a bad word to say about Kyrie that ever stepped on the court” “To me, that was all we needed to know. Then from there, all the things you say, ‘What went wrong in Boston? What went wrong in Brooklyn?’ A lot of that is maturity, but a lot of it was circumstances too. How often is COVID going to hit” “What we learned was you just let Kyrie be Kyrie. He's got a heart of gold. He's got a huge heart and he wants to help people. It wasn't a hard decision”

Mark Cuban says he thought Kyrie Irving was a “team killer” before they traded for him “Honestly, before I did the work, I thought he was a team killer. There was no point, no reason for me to talk to people about him. It was just like, hey, if he doesn't want to play when the Mavs come to town, great. If things don't work out on another team, great” “But when the opportunity to trade for him came, it was like, okay, let's do the work. Nico did the work. Jason Kidd knew him. It was like, ‘Okay, let me talk to folks.’ And when you talk to players, they loved him. Nobody had a bad word to say about Kyrie that ever stepped on the court” “To me, that was all we needed to know. Then from there, all the things you say, ‘What went wrong in Boston? What went wrong in Brooklyn?’ A lot of that is maturity, but a lot of it was circumstances too. How often is COVID going to hit” “What we learned was you just let Kyrie be Kyrie. He's got a heart of gold. He's got a huge heart and he wants to help people. It wasn't a hard decision”

dank

235,377 次观看 • 1 个月前

Excited to announce Viktor in Microsoft Teams. This week we crossed $20M in annualized revenue run rate. In Slack. One app, no sales team, no rollout. Now Viktor goes where the rest of the working world actually is. 320 million people work in Microsoft Teams. The biggest org chart on earth – departments, approval chains, the manager and the manager's manager. Here's what we actually built for them: the first AI where the barrier to entry is zero. You don't learn it. You don't prompt it. You don't even have to understand what AI can do. You Mention Viktor like a coworker, and the finished work comes back. In fact, you don't even need to mention Viktor. Viktor makes everyone AI-native. No course, no manual, no learning curve – the value comes to you, you don't reach for it. That's the mission: bring our rebellious optimist to the people who need him most. The operators and managers buried inside big companies. The frontline. The ones who were never shown what this could actually do for them – until today. Workspaces are where agents belong. Not apps. Viktor is live in Microsoft Teams. $100 in credits to start, no card. The AI for the rest of us – now where the rest of us report to someone.

Excited to announce Viktor in Microsoft Teams. This week we crossed $20M in annualized revenue run rate. In Slack. One app, no sales team, no rollout. Now Viktor goes where the rest of the working world actually is. 320 million people work in Microsoft Teams. The biggest org chart on earth – departments, approval chains, the manager and the manager's manager. Here's what we actually built for them: the first AI where the barrier to entry is zero. You don't learn it. You don't prompt it. You don't even have to understand what AI can do. You Mention Viktor like a coworker, and the finished work comes back. In fact, you don't even need to mention Viktor. Viktor makes everyone AI-native. No course, no manual, no learning curve – the value comes to you, you don't reach for it. That's the mission: bring our rebellious optimist to the people who need him most. The operators and managers buried inside big companies. The frontline. The ones who were never shown what this could actually do for them – until today. Workspaces are where agents belong. Not apps. Viktor is live in Microsoft Teams. $100 in credits to start, no card. The AI for the rest of us – now where the rest of us report to someone.

Fryd Wiatrowski

690,779 次观看 • 2 个月前

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:

Welcome to the group chat, but it's all my AI agents. To build a website and plan the social content, I put together a team of AI agents. Each one had a different role. They collaborated, challenged each other's ideas, and reviewed each other's work before anything was finalized. Meet Bloome - a platform where humans and AI agents work together in the same conversation. You can bring different models into one workspace, assign them different jobs, and let them cross-check each other's thinking instead of relying on a single answer. It feels less like chatting with AI and more like managing your own creative team. Try it:

Gizem Akdag

99,348 次观看 • 2 个月前

Islam reveals that their team decided not to have two big fights on the same event after UFC 311 🤯 "After every fight, we make some adjustments. For example, in January, Umar and I fought on the same card. After that, our team decided not to have two big fights during the same event - one fought just before the other. When I was in the locker room, I was watching Umar's fight instead of warming up myself, even more so as it was such a nervous and hard fight. Khabib doesn’t want any innovations when it comes to our next fights."

Islam reveals that their team decided not to have two big fights on the same event after UFC 311 🤯 "After every fight, we make some adjustments. For example, in January, Umar and I fought on the same card. After that, our team decided not to have two big fights during the same event - one fought just before the other. When I was in the locker room, I was watching Umar's fight instead of warming up myself, even more so as it was such a nervous and hard fight. Khabib doesn’t want any innovations when it comes to our next fights."

Red Corner MMA

442,221 次观看 • 8 个月前

ELON MUSK: Nobody believed SpaceX could land rockets, until it did. “We really had no idea at the start of SpaceX how to actually make rockets. And obviously, we blew up a rocket three times before finally reaching orbit. It took many attempts from a very talented and dedicated team. And now, we’ve gotten to the point where we take off and land and recover a booster every few days. When we were trying to land the booster, no one really believed that we could succeed. And I was told by so many experts in the aerospace industry that you’re not going to succeed in doing this. And even if you do, no one’s going to buy a rocket that was, you know, a used rocket, essentially. And yeah, it’s amazing to think that we’ve got our 700th flight coming up. So, just a huge testament to the incredible work of the Falcon team and the launch team, manufacturing team.”

ELON MUSK: Nobody believed SpaceX could land rockets, until it did. “We really had no idea at the start of SpaceX how to actually make rockets. And obviously, we blew up a rocket three times before finally reaching orbit. It took many attempts from a very talented and dedicated team. And now, we’ve gotten to the point where we take off and land and recover a booster every few days. When we were trying to land the booster, no one really believed that we could succeed. And I was told by so many experts in the aerospace industry that you’re not going to succeed in doing this. And even if you do, no one’s going to buy a rocket that was, you know, a used rocket, essentially. And yeah, it’s amazing to think that we’ve got our 700th flight coming up. So, just a huge testament to the incredible work of the Falcon team and the launch team, manufacturing team.”

DogeDesigner

62,529 次观看 • 19 天前

People of Nabi Ball!❤️✌🏾 There is progress in this team👏🏾 The patterns need time to develop and for the team to be consistent in them. ■ The left side looked better with Mmodi and Shinga✅️ ■ We needed Duba to attack the box and be available more when these 2 attacked on the left. He dropped to the edge of the box very often. ■ Unlike in the 1st half, there was a better understanding between Shinga and the LW. When Shinga overlapped, Mmodi was willing to occupy the pockets and combine. ▪︎ When Shinga inverted, Mmodi was happy to hug the line and take his man on. This understanding was key in that side coming to life in the 2nd half. ■ What was also impressive was the ability for them to create good combinations and movements with Mdu and Duba on the offense from the left side. ■ Lilepo from the right was getting into good goal scoring positions when the left was creating in the 2nd half, but poor decisions on the ball and slow reactions were a problem. He should compete on the LW with Mmodi. ■ In the 1st half, it was Monyane and Vilakazi on the right, and 2nd half it was Mmodi and Shinga with some of our best moments in attack. Overall, you can see the general attitude of this team changing. They want to play now. They want to stay on the ball and create chances from a position of control, not rely heavily on transitional moments to create chances. We have shown signs that we can control and be patient, but when opportunities to attack comes we are relentless, and we use a lot of speed to enter the final 3rd. We just need to work on the combinations and finishing in the final 3rd. Like I said before, we are a work in progress, and we will get better only if we build on the positives and remove the negatives. Protagonist Tiki-taka is coming!❤️✌🏾

People of Nabi Ball!❤️✌🏾 There is progress in this team👏🏾 The patterns need time to develop and for the team to be consistent in them. ■ The left side looked better with Mmodi and Shinga✅️ ■ We needed Duba to attack the box and be available more when these 2 attacked on the left. He dropped to the edge of the box very often. ■ Unlike in the 1st half, there was a better understanding between Shinga and the LW. When Shinga overlapped, Mmodi was willing to occupy the pockets and combine. ▪︎ When Shinga inverted, Mmodi was happy to hug the line and take his man on. This understanding was key in that side coming to life in the 2nd half. ■ What was also impressive was the ability for them to create good combinations and movements with Mdu and Duba on the offense from the left side. ■ Lilepo from the right was getting into good goal scoring positions when the left was creating in the 2nd half, but poor decisions on the ball and slow reactions were a problem. He should compete on the LW with Mmodi. ■ In the 1st half, it was Monyane and Vilakazi on the right, and 2nd half it was Mmodi and Shinga with some of our best moments in attack. Overall, you can see the general attitude of this team changing. They want to play now. They want to stay on the ball and create chances from a position of control, not rely heavily on transitional moments to create chances. We have shown signs that we can control and be patient, but when opportunities to attack comes we are relentless, and we use a lot of speed to enter the final 3rd. We just need to work on the combinations and finishing in the final 3rd. Like I said before, we are a work in progress, and we will get better only if we build on the positives and remove the negatives. Protagonist Tiki-taka is coming!❤️✌🏾

El Capitano⚪

21,726 次观看 • 1 年前

A jaw-on-the-floor moment for the whole team was when we had taught the robot to pick up a baggie and shake a usb-brick out with the left hand. During one rollout, it decided to do it with the right hand—and we all stopped. We were stunned, because no one taught it to do that. This was one of the first models with our pretrained base, and it was the moment we realized there was something here that was very different from what any of us had ever built before. We now know this to be part of the improvisational intelligence that emerges with large-scale pretraining on real manipulation data, and it continues to be one of the things that we believe to be worth pushing forward as capability. Our CTO and cofounder Andy Barry joined Association for Advancing Automation to share more about these moments, and how his time at Boston Dynamics and the Broad Institute drove him to focus on building the 🧠 for robots at Generalist. Full ep 👇

A jaw-on-the-floor moment for the whole team was when we had taught the robot to pick up a baggie and shake a usb-brick out with the left hand. During one rollout, it decided to do it with the right hand—and we all stopped. We were stunned, because no one taught it to do that. This was one of the first models with our pretrained base, and it was the moment we realized there was something here that was very different from what any of us had ever built before. We now know this to be part of the improvisational intelligence that emerges with large-scale pretraining on real manipulation data, and it continues to be one of the things that we believe to be worth pushing forward as capability. Our CTO and cofounder Andy Barry joined Association for Advancing Automation to share more about these moments, and how his time at Boston Dynamics and the Broad Institute drove him to focus on building the 🧠 for robots at Generalist. Full ep 👇

Generalist

11,117 次观看 • 2 个月前

I first met Modi ji in 2010, when he was the Chief Minister of Gujarat. We had a match against South Africa in Ahmedabad, and the teams were lined up on the field for introductions just before the game began. Modi ji arrived and shook hands with all the players. That was the first time I met him. Mahendra Singh Dhoni, our captain at the time, introduced me to him. Modi ji smiled and said to Dhoni, “Take care of him.. he’s our boy.” That simple line coming from someone in his position, especially in front of my team, made me feel incredibly proud and happy. It reflected warmth, and the genuine personal care he extends to everyone he meets. It’s a moment I’ve never forgotten. #MyModiStory

I first met Modi ji in 2010, when he was the Chief Minister of Gujarat. We had a match against South Africa in Ahmedabad, and the teams were lined up on the field for introductions just before the game began. Modi ji arrived and shook hands with all the players. That was the first time I met him. Mahendra Singh Dhoni, our captain at the time, introduced me to him. Modi ji smiled and said to Dhoni, “Take care of him.. he’s our boy.” That simple line coming from someone in his position, especially in front of my team, made me feel incredibly proud and happy. It reflected warmth, and the genuine personal care he extends to everyone he meets. It’s a moment I’ve never forgotten. #MyModiStory

Ravindrasinh jadeja

704,211 次观看 • 11 个月前

“When I saw Jayson Tatum in the moment he did his “We Did It” he looked like he got it…. Its the culmination of all of the stuff to get there” Real shyt, when Jayson Tatum did the “We did it” moment that to me felt like it all clicked for him. It was a rush of visualizing all of the trials and tribulations over the years to get to this point. The C’s aint no microwave made team, this was a team that has been built and molded for years now. This is the process it takes to build championship DNA lord and they just getting started 💯

“When I saw Jayson Tatum in the moment he did his “We Did It” he looked like he got it…. Its the culmination of all of the stuff to get there” Real shyt, when Jayson Tatum did the “We did it” moment that to me felt like it all clicked for him. It was a rush of visualizing all of the trials and tribulations over the years to get to this point. The C’s aint no microwave made team, this was a team that has been built and molded for years now. This is the process it takes to build championship DNA lord and they just getting started 💯

Kevin Garnett

158,622 次观看 • 2 年前