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Every marketing leader I talk to is facing the same challenge: Scale 📶 The demand for content has exploded, but the systems behind it haven’t kept up. Teams are expected to launch more campaigns, in more markets, with more data, all while maintaining brand integrity and speed. Chat-based AI...

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Timothy Young

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1,307,286 просмотров • 10 месяцев назад •via X (Twitter)

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Introducing Video Skills. AI video tools have come a long way in the past year. But our customers—large companies with extremely specific brand standards—keep telling us the same thing: these tools still don’t cut it. Video Skills changes that. Creative and brand teams can now build and deploy Video Skills across the company, giving marketing, sales and education teams a guided way to create fully brand-approved videos in Claude or ChatGPT. — Your creative briefs and workflows — Your assets and motion systems — Fully editable output — Collaborative editing — No slop Built for enterprises ready to scale video for real.
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Introducing Video Skills. AI video tools have come a long way in the past year. But our customers—large companies with extremely specific brand standards—keep telling us the same thing: these tools still don’t cut it. Video Skills changes that. Creative and brand teams can now build and deploy Video Skills across the company, giving marketing, sales and education teams a guided way to create fully brand-approved videos in Claude or ChatGPT. — Your creative briefs and workflows — Your assets and motion systems — Fully editable output — Collaborative editing — No slop Built for enterprises ready to scale video for real.

Champ 🤟🏻

613,697 просмотров • 1 месяц назад

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
1:21

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 просмотров • 1 год назад

Today, is excited to announce our $96M Series C at a $1B valuation, led by Lightspeed with participation from Sequoia Capital, Kleiner Perkins, Matt Miller, Saga and . When we started Profound 18 months ago, we had two fundamental beliefs about where marketing is heading: 1. Every company will care deeply about how AI talks about their brand. 2. Every marketer will use AI Agents to do their best work, faster. Those beliefs are becoming reality faster than we imagined. Now, we serve more than 10% of the Fortune 500 and are the number 1 leader on the G2 grid for AEO. To double down on that momentum, we’re taking two big swings: 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝘀: AI workers that take marketing teams from concept to execution. 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: certifications and cohort-based learning for marketers who want stay at the forefront of AI marketing. Reply with 𝗔𝗚𝗘𝗡𝗧 for free access to one of our most popular agents. No account required and no strings attached.
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Today, is excited to announce our $96M Series C at a $1B valuation, led by Lightspeed with participation from Sequoia Capital, Kleiner Perkins, Matt Miller, Saga and . When we started Profound 18 months ago, we had two fundamental beliefs about where marketing is heading: 1. Every company will care deeply about how AI talks about their brand. 2. Every marketer will use AI Agents to do their best work, faster. Those beliefs are becoming reality faster than we imagined. Now, we serve more than 10% of the Fortune 500 and are the number 1 leader on the G2 grid for AEO. To double down on that momentum, we’re taking two big swings: 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗔𝗴𝗲𝗻𝘁𝘀: AI workers that take marketing teams from concept to execution. 𝗣𝗿𝗼𝗳𝗼𝘂𝗻𝗱 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆: certifications and cohort-based learning for marketers who want stay at the forefront of AI marketing. Reply with 𝗔𝗚𝗘𝗡𝗧 for free access to one of our most popular agents. No account required and no strings attached.

Dylan Babbs

617,877 просмотров • 7 месяцев назад

We’re excited to open early access to Mifu – our AI-powered platform that lets you scale brand-creator partnerships without the chaos. We’ve built Mifu from the ground up while running campaigns for top brands like StudioCanal, Miniclip, and Universal Studios. Mifu does the heavy lifting: ⚡️ Turns your brand website into a full strategy 🎯 Matches you with the right creators 🚀 Operates your campaign end-to-end, at lightning speed Ready to scale creator marketing with AI? 👉 Join the waitlist at today. Check out the demo below! #InfluencerMarketing #Creators #AI
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We’re excited to open early access to Mifu – our AI-powered platform that lets you scale brand-creator partnerships without the chaos. We’ve built Mifu from the ground up while running campaigns for top brands like StudioCanal, Miniclip, and Universal Studios. Mifu does the heavy lifting: ⚡️ Turns your brand website into a full strategy 🎯 Matches you with the right creators 🚀 Operates your campaign end-to-end, at lightning speed Ready to scale creator marketing with AI? 👉 Join the waitlist at today. Check out the demo below! #InfluencerMarketing #Creators #AI

Mifu

278,513 просмотров • 1 год назад

Tomorrow is the launch of the first crypto video on the subscriber site titled Crypto: Why Now? Same format as my weekly YouTube scanning the AI Crypto Macro Nexus but focused on the merge of AI agents and crypto. This year was about the AI infrastructure needed for compute to get to AI agents. Now it is about the Financial Guardrails the agents need to transact as the Ghost Rails light up with users. Tomorrow begins my goal to educate and increase awareness on the new financial guardrails for the new faster system. Long speed, short friction. for more information
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Tomorrow is the launch of the first crypto video on the subscriber site titled Crypto: Why Now? Same format as my weekly YouTube scanning the AI Crypto Macro Nexus but focused on the merge of AI agents and crypto. This year was about the AI infrastructure needed for compute to get to AI agents. Now it is about the Financial Guardrails the agents need to transact as the Ghost Rails light up with users. Tomorrow begins my goal to educate and increase awareness on the new financial guardrails for the new faster system. Long speed, short friction. for more information

Jordi Visser

39,337 просмотров • 4 дней назад

AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.
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AI is making marketers lazy. So we made the website do the work instead. Today, we're launching Ploy: the all-in-one marketing platform that turns your website into your hardest working employee. And we're coming out of stealth today with a $27M seed led by Y Combinator and First Round. I spent 12 years at Webflow as the founding CTO where I built the product, but also started our marketing and sales teams that drove our fastest periods of growth. That experience made one thing obvious: the website is the center of your business. And it's only more important in the age of AI. Foundation model apps can generate assets. Point solutions can optimize pieces of the funnel. But nothing runs the whole growth system: your site, brand, CMS, CRM, campaigns, analytics, SEO, AEO, and customer data all working together. Until now. Teams at HexTech and C, and growth agencies like Tonik and TNT Growth, are already powering sites on Ploy. Hex is generating on-brand ABM pages at scale, Clay is using its data to power a programmatic SEO engine, and TNT Growth is spinning up a landing page for each of their clients’ ads. Wake up every morning with a report from Ploy - with what it did, and what it wants to do next. Approve it. Ship it. Or be lazy and just watch it cook.

brryant

1,029,567 просмотров • 3 месяцев назад

Every day, millions of videos compete for advertising dollars. Ensuring brands appear alongside the right content requires AI that can understand context at scale. PYLER is helping advertisers improve brand safety and campaign performance with NVIDIA-accelerated AI that analyzes video content in near real time. 🎯 Driving smarter advertising with AI ⚡ Analyzes 2M videos daily for contextual understanding and brand-safe placements 🛡️ Reduced unsafe content exposure by 76.7% for major advertisers 💰 Cut operational costs by 10X while accelerating content validation from seconds to milliseconds Built on the NVIDIA AI platform, PYLER is helping brands and marketers scale trust, transparency, and performance across digital video advertising.
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Every day, millions of videos compete for advertising dollars. Ensuring brands appear alongside the right content requires AI that can understand context at scale. PYLER is helping advertisers improve brand safety and campaign performance with NVIDIA-accelerated AI that analyzes video content in near real time. 🎯 Driving smarter advertising with AI ⚡ Analyzes 2M videos daily for contextual understanding and brand-safe placements 🛡️ Reduced unsafe content exposure by 76.7% for major advertisers 💰 Cut operational costs by 10X while accelerating content validation from seconds to milliseconds Built on the NVIDIA AI platform, PYLER is helping brands and marketers scale trust, transparency, and performance across digital video advertising.

NVIDIA

48,142 просмотров • 3 месяцев назад

AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly
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AI has solved software. Biology is the next frontier. We're hiring across every team at Adaptyv. We’ve built the best automated lab for protein designers to experimentally test their AI-designed proteins. Today, the most advanced protein design companies run their wet-lab work on Adaptyv, from the biggest biopharmas to frontier AI labs to dozens of virtual biotech startups. Demand has grown faster than we have, so we’re hiring across the board: • Bio: Research associates, scientists and lab technicians to develop and run new assays at scale. • Lab automation: Engineers and interns to onboard new lab instruments and scale our automation infrastructure. • Software: Product and backend engineers to scale LabOS, our internal lab orchestration platform, our API for agents and the data pipelines that turn messy physical-world data into clean results. • Partnerships, customer success and operations: Building partnerships with AI & pharma labs, making sure customers understand their data and can run more campaigns, making sure the company operations run smoothly

Adaptyv Bio

15,109 просмотров • 3 месяцев назад

Before AI, marketing teams built five creatives for every campaign. Now they can generate fifty. But more content didn't solve marketing. It exposed a new bottleneck. Most of it is slop. AI solved the quantity problem. It created a quality problem. Kyle Wong & co-founder tseungc built InstaAgent to solve the second one. A consumer brand hands InstaAgent a single marketing brief. From there, the team handles the strategy, the creative, the distribution, and the analytics. The result isn't 50 generic ads. It's personalized content built for hundreds of distinct audiences - each with its own messaging, creative, and targeting. Think about a global CPG company. Hundreds of SKUs. Dozens of countries. That's thousands of creative variations before you even start optimizing performance. The hard part isn't generating content anymore. It's knowing what to create. Anyone can pay $25 a month for an AI model. Very few know how to turn that model into marketing that actually performs. That's why InstaAgent isn't positioning itself as another self-serve AI tool. It's an AI-native marketing partner - combining human judgment with AI execution to produce creative that brands can actually scale. The market is responding. From $0 to $1M ARR in just 10 months. Enterprise customers including Nestlé and P&G. Enterprise sales cycles closing in less than a month. The first wave of AI made content abundant. The next wave will reward the companies that know exactly who that content is for. 🎙️ Kyle Wong, Co-Founder & CEO, InstaAgent on Fondo.com START
1:10

Before AI, marketing teams built five creatives for every campaign. Now they can generate fifty. But more content didn't solve marketing. It exposed a new bottleneck. Most of it is slop. AI solved the quantity problem. It created a quality problem. Kyle Wong & co-founder tseungc built InstaAgent to solve the second one. A consumer brand hands InstaAgent a single marketing brief. From there, the team handles the strategy, the creative, the distribution, and the analytics. The result isn't 50 generic ads. It's personalized content built for hundreds of distinct audiences - each with its own messaging, creative, and targeting. Think about a global CPG company. Hundreds of SKUs. Dozens of countries. That's thousands of creative variations before you even start optimizing performance. The hard part isn't generating content anymore. It's knowing what to create. Anyone can pay $25 a month for an AI model. Very few know how to turn that model into marketing that actually performs. That's why InstaAgent isn't positioning itself as another self-serve AI tool. It's an AI-native marketing partner - combining human judgment with AI execution to produce creative that brands can actually scale. The market is responding. From $0 to $1M ARR in just 10 months. Enterprise customers including Nestlé and P&G. Enterprise sales cycles closing in less than a month. The first wave of AI made content abundant. The next wave will reward the companies that know exactly who that content is for. 🎙️ Kyle Wong, Co-Founder & CEO, InstaAgent on Fondo.com START

David J Phillips

14,284 просмотров • 2 месяцев назад

Introducing Scale Network - The Operating System for the AI World Scale Network, based in Switzerland and the United States, is building a full-stack enterprise AI and data platform that transforms fragmented organizational data into secure, actionable intelligence connecting the complete journey from Data → Intelligence → Action. Our mission is to build the intelligence infrastructure for the next generation of organizations across finance, healthcare, defense, manufacturing, energy, aviation, supply chains, and the public sector. 🏆 LEADERSHIP & ACHIEVEMENTS - Led by CEO Chris Parker, a Harvard graduate with 15 years of experience at Google and OpenAI, including work related to ChatGPT. - COO Alex Morgan brings extensive experience from Netflix, Airbnb, and NVIDIA. - Part of the NVIDIA Inception Program and collaborating with OpenAI to develop advanced enterprise AI infrastructure. - Delivered solutions for major organizations, including Singapore Changi Airport, Shanghai Airport, and Public Health England. - Founded from an AI research lab in Palo Alto, initially focused on optimizing how large and complex datasets are processed, connected, and understood. ⚡️ CORE PRODUCTS ✅ Scale Fabric: Connects and unifies data across databases, applications, APIs, and real-time streams. ✅ Scale Cortex: Deploys private AI models, LLMs, autonomous agents, and intelligent workflows securely. ✅ Scale Sentinel: Analyzes real-time operational data to identify risks, patterns, and critical insights. ✅ Scale Nexus: Creates shared intelligence across data, AI systems, entities, and organizational operations. ✅ Scale Relay: Deploys and manages AI infrastructure across cloud, on-premise, air-gapped, and edge environments. 🌐 Experience now at: Together, we Scale. Together, we change the world. #ScaleAI #SCALE #ScaleNetwork #WebApp
1:22

Introducing Scale Network - The Operating System for the AI World Scale Network, based in Switzerland and the United States, is building a full-stack enterprise AI and data platform that transforms fragmented organizational data into secure, actionable intelligence connecting the complete journey from Data → Intelligence → Action. Our mission is to build the intelligence infrastructure for the next generation of organizations across finance, healthcare, defense, manufacturing, energy, aviation, supply chains, and the public sector. 🏆 LEADERSHIP & ACHIEVEMENTS - Led by CEO Chris Parker, a Harvard graduate with 15 years of experience at Google and OpenAI, including work related to ChatGPT. - COO Alex Morgan brings extensive experience from Netflix, Airbnb, and NVIDIA. - Part of the NVIDIA Inception Program and collaborating with OpenAI to develop advanced enterprise AI infrastructure. - Delivered solutions for major organizations, including Singapore Changi Airport, Shanghai Airport, and Public Health England. - Founded from an AI research lab in Palo Alto, initially focused on optimizing how large and complex datasets are processed, connected, and understood. ⚡️ CORE PRODUCTS ✅ Scale Fabric: Connects and unifies data across databases, applications, APIs, and real-time streams. ✅ Scale Cortex: Deploys private AI models, LLMs, autonomous agents, and intelligent workflows securely. ✅ Scale Sentinel: Analyzes real-time operational data to identify risks, patterns, and critical insights. ✅ Scale Nexus: Creates shared intelligence across data, AI systems, entities, and organizational operations. ✅ Scale Relay: Deploys and manages AI infrastructure across cloud, on-premise, air-gapped, and edge environments. 🌐 Experience now at: Together, we Scale. Together, we change the world. #ScaleAI #SCALE #ScaleNetwork #WebApp

Sible Network (ex. Scale Network)

102,719 просмотров • 1 месяц назад

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀
0:49

AI is transforming the way businesses operate 🤖. It’s no longer just a tool, it powers decision-making, efficiency, and growth. From automating tasks to predicting trends and uncovering insights, AI is becoming the backbone of modern business. But AI isn’t magic. It needs massive amounts of high-quality data 📊. Companies like Scale AI and other Web2 giants thrive because they control the pipelines of this data, turning it into a huge competitive advantage. The problem is most of this data is locked in centralized systems 🔒, expensive, and often inaccessible for smaller companies or innovators. That’s where OORT | The Data Cloud for Decentralized AI comes in 🌐✨. By building decentralized storage and AI infrastructure, OORTECH makes data open, secure, and accessible to everyone. It’s a foundation for the next generation of AI-powered businesses, giving all innovators the chance to compete and create 🚀

Sky Wee

67,559 просмотров • 1 год назад

The design team is growing 🔥 We just opened two new roles to work on brand at Lovable. If you love building custom design tools with AI, we should talk. Over the past months, we’ve built a bunch of internal apps for design, brand, and marketing. From generating brand assets to experimenting with motion, logos, and entirely new creative workflows. Now we want to take this much further. We’re looking for: → Brand Designer, AI & Ops → Brand Engineer If you’re excited about exploring what brand design looks like in the age of AI, come build with us! DM's are open!
0:40

The design team is growing 🔥 We just opened two new roles to work on brand at Lovable. If you love building custom design tools with AI, we should talk. Over the past months, we’ve built a bunch of internal apps for design, brand, and marketing. From generating brand assets to experimenting with motion, logos, and entirely new creative workflows. Now we want to take this much further. We’re looking for: → Brand Designer, AI & Ops → Brand Engineer If you’re excited about exploring what brand design looks like in the age of AI, come build with us! DM's are open!

Felix Haas

18,538 просмотров • 1 месяц назад

Everyone’s talking about AI in marketing, but few are actually building with it. Emily Boschwitz from Vanta is one of the exceptions. We talked about what AI looks like in the trenches, from trends in sales and marketing to personalized conversion flows. Key takeaways from our convo: → AI is increasingly leveraged as a consistency engine across platforms → Custom GPTs help teams move faster without losing brand voice → Attribution tools are getting smarter (finally)
14:58

Everyone’s talking about AI in marketing, but few are actually building with it. Emily Boschwitz from Vanta is one of the exceptions. We talked about what AI looks like in the trenches, from trends in sales and marketing to personalized conversion flows. Key takeaways from our convo: → AI is increasingly leveraged as a consistency engine across platforms → Custom GPTs help teams move faster without losing brand voice → Attribution tools are getting smarter (finally)

Seema Amble

29,205 просмотров • 1 год назад

The creative industry is being challenged right now. Demand for content is skyrocketing, budgets are shrinking, and timelines are tighter than ever. And while we all know AI is here to help, not all AI is actually helping. Most AI isn’t built for enterprise level creative work because it requires the precision and control that your average AI just can’t provide. That’s why today, we’re introducing Stability AI Solutions: A new offering designed to help enterprises scale creative production with generative AI.
2:58

The creative industry is being challenged right now. Demand for content is skyrocketing, budgets are shrinking, and timelines are tighter than ever. And while we all know AI is here to help, not all AI is actually helping. Most AI isn’t built for enterprise level creative work because it requires the precision and control that your average AI just can’t provide. That’s why today, we’re introducing Stability AI Solutions: A new offering designed to help enterprises scale creative production with generative AI.

Stability AI

14,767 просмотров • 1 год назад

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.
1:54

Jensen Huang $NVDA says the AI energy problem is overblown. “The grid runs ~60% of peak. 99% of the time there’s unused power.” The real opportunity isn’t more energy. It’s smarter data centers. $NBIS is already doing it. In the UK, with National Grid, $NVDA, and Emerald AI, they proved they can cut power usage by up to 40% in under a minute—without impacting critical workloads. Data centers are becoming a grid resource, not a liability. The more I study $NBIS, the more bullish I get.

Daniel

98,660 просмотров • 5 месяцев назад

At Omnipresent, We incubate. We build. Introducing our first product a marketing tool that enables an entirely different way of operating. Our CTO taro developed an in-house stack using OpenClaw🦞, Kimi.ai, and Claude built to move faster, hit harder, and scale beyond what off-the-shelf tools allow. What it unlocks: – Sharper, faster marketing execution – Distribution that scales beyond the obvious channels – High-leverage creative angles that compound - Marketing analytics and data you can trust And this is just an experiment. We are working on AI dashboard with new layers of insights , network scale effects , and a UI/UX bar that keeps moving up. This is what building from the inside out looks like.
0:29

At Omnipresent, We incubate. We build. Introducing our first product a marketing tool that enables an entirely different way of operating. Our CTO taro developed an in-house stack using OpenClaw🦞, Kimi.ai, and Claude built to move faster, hit harder, and scale beyond what off-the-shelf tools allow. What it unlocks: – Sharper, faster marketing execution – Distribution that scales beyond the obvious channels – High-leverage creative angles that compound - Marketing analytics and data you can trust And this is just an experiment. We are working on AI dashboard with new layers of insights , network scale effects , and a UI/UX bar that keeps moving up. This is what building from the inside out looks like.

Omnipresent

15,029 просмотров • 5 месяцев назад

Today, we are launching Depost AI 2. 🎉 I am a bit emotional writing this. The last eight months were intense. But today I am proud of what we built. Because Depost AI 2 is built to become the best and safest AI content team for LinkedIn. We listened to thousands of people who used the first version, and we rebuilt Depost AI from scratch on the official LinkedIn API. The result: - A chat instead of a form, so you brief it like a colleague - Analytics that show what performs for you and why - Four agents that write in your voice and design the graphics to match - A calendar that fills from approved drafts - Approvals, roles, and a separate workspace for every brand - MCP, so the whole team works inside Claude, ChatGPT, or Cursor It is built for B2B founders who need to be visible without losing an hour a day. For marketing teams who need one system, one review flow, and one voice per brand. And for agencies who run LinkedIn for clients and need every brand kept apart. But the bigger vision is this: Depost AI is becoming a content team that understands your brand before it writes a word. It learns from everything you publish. It knows what performs for you and why. It plans, writes, designs, and schedules from that. And nothing goes live until you approve it. Because writing a post is not the hard part. Knowing what to say, saying it well every week, and doing it safely on an account you cannot afford to lose is. Depost AI 2 is the tool we built to solve that. And honestly, the best part right now is watching people brief it for the first time and get a week of drafts back in their own voice. You can start a 7-day free trial today at And if you message me, I will happily walk you through it myself. ❤️
1:05

Today, we are launching Depost AI 2. 🎉 I am a bit emotional writing this. The last eight months were intense. But today I am proud of what we built. Because Depost AI 2 is built to become the best and safest AI content team for LinkedIn. We listened to thousands of people who used the first version, and we rebuilt Depost AI from scratch on the official LinkedIn API. The result: - A chat instead of a form, so you brief it like a colleague - Analytics that show what performs for you and why - Four agents that write in your voice and design the graphics to match - A calendar that fills from approved drafts - Approvals, roles, and a separate workspace for every brand - MCP, so the whole team works inside Claude, ChatGPT, or Cursor It is built for B2B founders who need to be visible without losing an hour a day. For marketing teams who need one system, one review flow, and one voice per brand. And for agencies who run LinkedIn for clients and need every brand kept apart. But the bigger vision is this: Depost AI is becoming a content team that understands your brand before it writes a word. It learns from everything you publish. It knows what performs for you and why. It plans, writes, designs, and schedules from that. And nothing goes live until you approve it. Because writing a post is not the hard part. Knowing what to say, saying it well every week, and doing it safely on an account you cannot afford to lose is. Depost AI 2 is the tool we built to solve that. And honestly, the best part right now is watching people brief it for the first time and get a week of drafts back in their own voice. You can start a 7-day free trial today at And if you message me, I will happily walk you through it myself. ❤️

Atta 🐬

17,864 просмотров • 18 дней назад

The reason $META is a winner in the AI economy is that it can embed AI directly into products already used by billions of consumers and millions of businesses. This lets them turn model improvements into better ads, WhatsApp agents, AI glasses, recommendation systems and creative tools almost immediately. Those products may look separate but they all run on same infrastructure, models, proprietary data and distribution creating a shared AI stack that can compound across multiple revenue streams.
1:15

The reason $META is a winner in the AI economy is that it can embed AI directly into products already used by billions of consumers and millions of businesses. This lets them turn model improvements into better ads, WhatsApp agents, AI glasses, recommendation systems and creative tools almost immediately. Those products may look separate but they all run on same infrastructure, models, proprietary data and distribution creating a shared AI stack that can compound across multiple revenue streams.

Shay Boloor

71,172 просмотров • 2 месяцев назад

CreatorBid is now live on BNB Chain 🟨 With our platform now officially multichain, the agentic revolution on the yellow chain is set to accelerate at lightspeed. BNB Chain is a wide-open frontier for AI Agents, and we’re already in talks with multiple teams gearing up to launch their agents through CreatorBid. And remember, once an agent exits the bonding curve, it automatically hits the DEX - PancakeSwap. CZ 🔶 BNB called for more AI Agent development onchain - this is exactly that, real use cases and serious development. CreatorBid is becoming the home of the next generation of AI Agents.
0:48

CreatorBid is now live on BNB Chain 🟨 With our platform now officially multichain, the agentic revolution on the yellow chain is set to accelerate at lightspeed. BNB Chain is a wide-open frontier for AI Agents, and we’re already in talks with multiple teams gearing up to launch their agents through CreatorBid. And remember, once an agent exits the bonding curve, it automatically hits the DEX - PancakeSwap. CZ 🔶 BNB called for more AI Agent development onchain - this is exactly that, real use cases and serious development. CreatorBid is becoming the home of the next generation of AI Agents.

Creator.Bid

129,962 просмотров • 1 год назад