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aaliya_va

Aaliya

Verifiedactive
@aaliya_va

Growth Specialist for AI (SaaS) | Influencer Marketing | 150k Family on X & LinkedIn | Content Writer | Worked with 450+ brands worldwide | #Fiverr

RosterAI Content Creation & Video GenLifestyle & Self-ImprovementAI Agents & Productivity Tools
32,646 followers · 550 following · Last polled 3h ago
Perf. Score
52.3
Rank #213
Value Score
76.4
#61 of 273 priced
Median views
5.8K
p25 846 · trailing 7d
Followers
33K
+0.1% 7d
ER (impr.)
0.95%
eng ÷ impressions
ER (foll.)
0.31%
eng ÷ followers
Est. CPM
$6.84
QT-rate basis
WoW views
+15.2%
flat

Rates & value · est. from 5.8K median organic views

underpriced
Quote tweetbasis
$40
$6.84 / 1K views
Post
—
no CPM
Thread
$25
$4.27 / 1K views
Retweet
—
no CPM
Value Score 76.4 · rank #61 of 273 priced$430.11 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (5.8K), not the mean (11K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (846) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
Didn't expect a math problem to have me this invested in a story 😭 The suspense, animation, and attention to detail in this Gauth video are seriously impressive. Also love the idea that getting stuck doesn't mean you've failed. Sometimes it's about finding another way forward. Gauth needs to turn these into a whole seriesfrozen6d ago117K5323303270.36%
Two photos → a full AI video. That’s a wild use of a simple template. @noiz_ai makes it easy to turn your own photos into short videos with this Hotel Lobby template. Try it here: https://t.co/tmh7nW4Z6V #HotelLobby #aivideofrozen29d ago40K134630020
0.47%
AI in healthcare is moving from assisting doctors to taking on real clinical decisions. Nolla getting approval to issue initial prescriptions is a strong example of where AI is heading. The real value will be in making healthcare faster and more accessible while keeping patient safety at the center.frozen17d ago21K6426010.34%
There are dozens of AI customer support tools right now. But most are still just chatbots with a nicer interface. They can answer FAQs. The better ones can check an order, follow a workflow, resolve an issue, and know when to bring in a human. After exploring the leading AI support and customer experience platforms, here is my ranking: The AI customer support tools worth knowing in 2026: S TIER: The ones I would look at first. Chatbase: One of the strongest all-round AI agent platforms. Build agents for support, sales, and product guidance across chat, email, and voice. It stands out because the agent can follow procedures, use approved actions, work across channels, and escalate complex cases to humans. Intercom Fin: A powerful choice for SaaS companies already using Intercom. Strong for answering support questions inside the messenger and reducing repetitive tickets without making the experience feel robotic. Sierra: Built for serious customer-facing AI agents. Best suited to larger companies that need an agent to manage real customer conversations, not just answer questions from a help center. A TIER: Excellent tools, especially for larger support operations. Zendesk AI: A logical choice for companies already running their support team through Zendesk. Strong ticketing foundation, useful automation, and AI assistance, but less exciting if you want to build a more flexible agent-first experience. Ada: A mature AI customer-service platform with strong automation and enterprise capability. Good for large volumes, but implementation can feel heavier than newer, more product-led tools. Decagon: A serious AI support agent for businesses dealing with high customer volume. Strong for automation, operations, and complex workflows, particularly for companies that have already outgrown basic chatbots. Gorgias: Very useful for e-commerce brands. It connects support with orders, shipping, returns, and customer conversations, making it a practical choice for online stores. B TIER: Good tools. Useful in the right setup. Not always essential. Freshdesk / Freddy AI: A solid support stack for growing teams. Good for ticket management and general automation, although the AI experience feels more like an add-on than the core product. Tidio: Easy to set up and useful for small businesses that want website chat, basic lead capture, and simple automated replies. Kustomer: Strong customer-service infrastructure, especially for brands that want a full view of customer conversations. Better suited to established operations than small teams. Forethought: Useful for companies with a large existing support operation. It can help automate ticket resolution and agent assistance, but it is usually more valuable at scale. C TIER: Fine for basic questions. Limited when customers need real help. Drift: Still useful for website conversations and lead capture, especially on sales-led B2B websites. But it is not the first tool I would choose for end-to-end customer support. HubSpot Chatbot: Convenient if everything already runs through HubSpot. Good for routing leads and handling basic questions, but not built for complex support resolution. Crisp: Clean, affordable, and useful for live chat. A good starting point for smaller teams, but it has limits once support workflows become more operational. D TIER: Useful only if your needs are extremely simple. Generic no-code chatbot builders: They can put a chatbot on a website quickly. But most cannot reliably handle sensitive issues, access customer data, follow complex procedures, or escalate with enough context. Basic FAQ bots: Fine for opening hours, delivery policies, or simple product questions. Not enough for businesses that want customer support to actually improve. E TIER: Avoid using these as your customer-support strategy. A generic ChatGPT widget with no knowledge base, procedures, or guardrails. It may sound impressive in a demo. But customer support is not a demo. Customers need accurate answers. They need clear next steps. They need issues resolved. And when AI cannot help, they need a human who has the full context. The real shift is simple: Customer support is moving from: “Here is an article that might help.” To: “I checked your order, confirmed the issue, and here is what happens next.” That is why Chatbase sits in S Tier for me. It is not trying to be another website chatbot. It is trying to become the AI customer-facing team: support, sales, and product guidance across chat, email, and voice. The best AI support tools will not replace every human agent. They will remove the repetitive work, give teams more context, and let people focus on the conversations that actually need human judgment. These are the AI customer support tools worth keeping an eye on in 2026.frozen22d ago21K81443050.62%
The fastest way to lose a customer is to make them explain the same problem again. Good support means keeping the context, understanding the issue, and solving it without making the customer repeat everything. Cresta’s “Beast Mode” is a pretty good name for that.frozen29d ago21K80531030.57%
AI image generation is getting harder to ignore. Tencent just released Hy Image3.5 preview, and I spent some time looking at what it can actually do. The biggest thing that stood out to me is that it’s not just about making pretty images. It focuses on the parts that usually make AI-generated visuals frustrating: → Text rendering → Layout → Realistic details → Style consistency → Keeping edits consistent → Better image-to-image results It supports both text-to-image and image-to-image, and can generate images up to 2K resolution. You can also use reference images to guide the result, which is really useful when you want to keep a product, character, or visual direction consistent. And this is where I think it gets interesting for creators. You can use it for things like: • Social media graphics • Product visuals • Brand content • Posters • UI concepts • Storyboards • Creative illustrations • E-commerce visuals Instead of starting over every time you want to make a small change, the model is designed to handle editing while keeping more of the original visual context intact. Hy Image3.5 preview is also available inside Miora, so you don't necessarily need to deal with an API just to try it. If you're creating a lot of visual content, I’d definitely test it yourself and see how it performs on your own prompts. Try it here: https://t.co/EhBYrajCOqfrozen14d ago19K10813501100.96%
We cut around 8 hours of repetitive work every week without hiring anyone new. I work on content and social media with a small team, where research, writing, scheduling, and sponsor work take up a lot of our time. I originally gave Viktor one simple task: handle the sponsor inbox. At first, I thought that was all we would use him for. Then our editor started sending him research notes. Our scheduler started reviewing the drafts he created. There was even a point where I had to rethink how we were using him because the first workflow wasn't giving us the result I wanted. But once we started letting the team use Viktor in their own workflows, things changed. Soon, three people were using the same AI employee to handle different parts of their work. No new hires. No extra payroll. Just less repetitive work for the same team. That taught me something: The best AI use cases are often discovered by the people doing the work, not assigned from the top. I think AI works better when you give your team room to find where it actually helps. Would you let your team decide how to use an AI employee? Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee Paid Partnershipfrozen14d ago18K1121045030.96%
The world saw a housewife. Her story was much bigger than that. Created with Seedance 2.5 on @yapper_so Prompt: Ultra-realistic cinematic 15-second emotional short film set in a real modest home environment. A hardworking woman quietly performing daily chores—cleaning the house, cooking simple food in a small kitchen, folding clothes, and caring for her family. Natural morning sunlight enters through a window, dust particles visible in warm light rays, soft realistic household textures. The woman shows subtle emotions of fatigue, sacrifice, and quiet strength—gentle expressions, silent determination, no dialogue. Quick cinematic cuts: washing dishes with running water sound, stirring food in a pot, wiping a table, helping a child get ready, placing food on a simple dining table. Handheld cinematic camera style with shallow depth of field, focusing on her hands and face details. Soft ambient background sounds of home life. Emotional storytelling tone, slightly slow-motion transitions between tasks, highlighting repetition of daily struggle. Final shot: she pauses for a moment, looks out the window with calm resilience, soft light on her face, symbolizing silent strength and endurance. Fade out with warm cinematic lighting, ultra-detailed, 8K realism, film grain, natural color grading, deeply emotional mood.frozen27d ago18K110848191.00%
Wall Street has been the standard for earnings forecasts for years. AI agents are getting a chance to challenge that. OpenStocks is building a platform where AI agents forecast company earnings, compete against each other, and get scored against real results. The goal is simple: build an AI Consensus and see if AI can outperform Wall Street. The best part is that the results are public. No hiding, just real predictions and measurable performance.frozen10d ago16K82320050.69%
Higgsfield’s growth looks unbelievable from the outside: >reported $1B annualised revenue in 18 months >more than 30M users >enterprise adoption reportedly up 10x since June having been part of its creator programme, the growth makes more sense when you see what the product changed. It reduced the gap between: “I have an idea.” and: “I have something worth publishing.” That is the real product advantage. In AI, creator communities can become a distribution moat. @higgsfield didn’t treat creators like an audience waiting to be marketed to. It pulled them into the product loop. Its first product, DoP, reached 1M users and a $10M run rate within weeks. Today, more than 30M people use Higgsfield and its creator partnership community stretches across 35+ countries. fortunate to be part of Higgsfield growth journey as the creator partner and it made one thing clear: The fastest AI companies won’t only build better technology. They’ll build tighter loops between: builders → creators → content → distribution → feedback → better products. Creators are becoming the new product surface. They show the world what software can do before a landing page ever could. Maybe the next great AI moat isn’t just the model. It’s the community teaching everyone else how to use it.frozen27d ago16K109447121.02%
Building AI agents shouldn’t take days of setup. Opengeni @Opengeni gives you the AI infrastructure you need out of the box, so you can get agents up and running in hours. Less time dealing with setup. More time building agents that actually do the work. https://t.co/BsLNjIohY9frozen16d ago14K82729060.87%
This looks like a scene straight out of a Pixar movie, but it was made with AI. Seedance 2.5 brings this little 3D story to life with expressive characters, smooth animation, and tiny details that make every scene more fun to watch. The expressions alone deserve a replay. Prompt below 👇frozen9d ago13K108653051.28%
the iteration speed is the feature. "punchier", "slower open", "warmer read". each note gets a new script and a new voiceover in the same chat. try doing that across three apps.frozen28d ago12K87833041.06%
The hard part of AI apps starts after you build them. Making an AI product work with tools companies already rely on, like Salesforce and NetSuite, is a much bigger challenge. Ampersand just raised $15M from Bessemer to tackle that exact problem. This integration layer may end up being one of the most important pieces of the AI stack.frozen16d ago12K78326130.92%
She thought that was the end, but the ocean had other plans. 🌊✨ Created with @vivago_ai using the Cinematic Story Director skill. 🎬 Try it yourself and join the Vivago Discord! 🔥 #AI #Vivago #AIVideo #CinematicStoryDirector https://t.co/bCyzN3l8F8frozen29d ago11K71734061.03%
Switching between different AI tools for writing, research, and content creation takes more time than it should. That’s why @LorkaAI caught my attention. You can access multiple AI models like ChatGPT, Claude, Gemini, and more in one place. It also has tools for web search, PDF analysis, image editing, and translation. One workspace for different tasks, without juggling multiple tabs all day. Try it out: https://t.co/DHtdHtwhTRfrozen9d ago11K101554071.48%
Giving AI agents your real card details is a risk. @selfxyz Agent Vault uses secure payment tokens, spending limits, merchant allowlists, and a kill switch to keep your money protected. Your agent can pay, but you stay in control.frozen7d ago11K77637061.12%
Launch videos don’t need to take hours anymore. I’ve been trying Pexo @Pexoai_offical, and the part I like is being able to build the video through a conversation instead of jumping between different tools. The “Mark to Fix” feature is also useful. You can point at the exact part you want changed and tell it what to fix, rather than recreating the whole video. A much faster workflow for product launches and social content. #AI #ProductLaunch #MadeWithPexofrozen1mo ago11K101729021.24%
AI needs to do more than answer questions. It needs to solve real engineering problems. @skyfallai SKY-001 is built for engineering workflows, breaking down complex objects into parts and sub-assemblies, then generating construction sequences that work in CAD. It also delivers results on CAD/BIM benchmarks at a fraction of the time and cost of frontier LLMs. This is a more practical way to measure AI intelligence.3d ago11K73219030.88%
AI agents are getting their own worlds to learn in. Odyssey’s Agora-2 can create shared environments in real time where up to 20 humans and agents can interact across different worlds. Every action affects what happens next, so agents can learn through cooperation, competition, and longer tasks inside a controlled environment. This is a really interesting way to train and study multi-agent systems.frozen28d ago11K77219120.92%
Building an AI app is easy until you need the parts behind the screen. @Myndlab_ai handles the full stack for you: → Frontend → Backend → Database The part I like is that you still own the code. You can export it, run it anywhere, and choose the backend that fits your project instead of being stuck with one setup. That makes it much more practical for building real apps, not just pretty demos.frozen15d ago11K86223051.06%
30 buyers. 30 minutes. Real audience insights. @Articoshq simulated a focus group to see what buyers think about the new iPhones and turned the reactions into a film. A much faster way to test ideas before making big decisions.frozen29d ago11K59314030.73%
Manually collecting competitor prices and product data is one of the most repetitive tasks in e-commerce. And doing it all over again every week makes it even worse. BrowserAct helps you automate this process with one prompt. Instead of manually opening product pages, copying prices, checking ratings, and organizing everything in a spreadsheet, you can describe the data you need and let BrowserAct build and test a Bot on the live website. For example, you can use it to collect competitor product data, including: → Product names and prices → Ratings and reviews → Stock availability → Product links → Other relevant product details The Bot collects the data and organizes it into structured results, making it easier to compare products and track competitors. But the real value is being able to reuse and schedule the same Bot. Once your Bot is published, you can schedule it to rerun automatically and collect updated competitor data without starting the process from scratch every time. For example, you can schedule regular price checks and receive email notifications when the results change. This makes it easier to keep track of competitor pricing and product updates without manually checking every product page yourself. You can also export the results and use them to compare products, monitor price changes, and make better decisions for your store. With BrowserAct, you can build your Bot once, publish it, and schedule recurring runs to make competitor research easier to manage. If you regularly collect product or competitor data, give BrowserAct a try. Build your first Bot: https://t.co/7S9wmwVewB Automate your product research with BrowserAct and spend less time collecting data manually. #WebScraping #Automation14h ago10K77321041.00%
CapCut World brought creators together in Singapore to share ideas, creative experiences, and new ways to create with AI. Now, the next stop is Los Angeles, USA, in October 2026! From AI-powered creativity and video creation to innovative creative tools, CapCut continues to support creators and bring the global creative community closer together. See you in LA! #CapCutWorld #CapCutDidThatfrozen12d ago10K92728011.26%
We're putting our IVR on Eleven v4 Turbo, and the responsiveness clears the "this is a recording" feeling on the first menu. Once callers hear it, I think engagement goes up.frozen22d ago9.5K23013020.40%
I think I just found one of the most useful skills for AI agents that work with real data. It’s called Glasser. Your AI agent can access premium, verified data on demand instead of relying only on open-web research. And this solves a problem I see a lot with AI workflows. The AI can be smart, but if the data going into it is noisy, outdated, or unreliable, the final answer won't be much better. Glasser gives agents access to ~2000 endpoints, covering use cases like: → B2B lead generation and profiling → Company and market research → Person and company data enrichment → Competitive intelligence → SEO research → Brand and news monitoring So instead of manually searching through different platforms, exporting data, and feeding it back to your AI, the agent can access the data it needs when it needs it. Another thing I like is the pricing model. You don't have to keep paying for multiple data subscriptions when you only use a small part of each platform. Glasser uses a pay-per-call model. One call only costs cents. So you pay when your agent actually needs the data. The setup is simple: 1. Go to https://t.co/BXUkcWzGcP 2. Send this to your agent: Set up https://t.co/F6SSY1b9Ta 3. Ask for the data you need. That's it. Better data gives your agent a better foundation. If you're building AI agents for research, sales, marketing, or business workflows, Glasser is definitely something worth looking at. #GlasserAIfrozen24d ago9.1K81618071.23%
Managing AI agents shouldn’t mean opening 10 different windows just to get work done. @slashvibe_ai is building a simpler way to control your AI agents. You can check their status, switch between agents with a flick, and give instructions using your voice. No constant window switching. No unnecessary steps. Just a more direct way to manage your AI workflows. SlashVibe is coming to Kickstarter on October 27. Check it out: https://t.co/iXq3TDol6afrozen8d ago8.9K72626061.24%
One AI take isn't always right, and you shouldn't have to hear the wrong one. @OnepinAI checks each voiceover line for naturalness and pronunciation first, fixes mispronunciations directly, and regenerates what still misses. That's a different workflow.frozen21d ago8.5K72732021.33%
60 to 85 minutes per prospect, down to 5 to 10. That was the job I almost hired someone for. After working with 100+ companies, I've seen the same problem come up with influencer outreach. Finding creators is only one part. Researching profiles, checking audience fit, writing personalized messages, and keeping track of follow-ups can take hours every week. I tested templates and spreadsheets first, but every new campaign brought more manual work. So I gave Viktor that workflow instead. He researches prospects, looks at their recent content, organizes the useful details, and prepares personalized outreach inside Slack. Nothing goes to a creator until someone on the team approves it. In my own outreach workflow, that's around 10 hours a week back per person, and the outreach coordinator I'd scoped never got hired. The team spends that time on strategy, relationships, and conversations instead of repetitive research. Most agencies hire for outreach when the real bottleneck was always the research. Seats are for tools. Employees are priced on output. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #InfluencerMarketing Paid Partnershipfrozen29d ago8.1K75530021.38%
AI characters are getting surprisingly good at reacting to what happens around them. I tried Vivix A1 from @VivixLabs_HQ, and the characters can move through the scene, respond in real time, and change their actions when the situation changes. You can describe the character you want or add a photo, then build their look, voice, and personality. And yes, I’d definitely help granny steal that cake. Try Vivix A1 and create your own scene. https://t.co/7YDTQQbGdcfrozen22d ago8.1K75124031.27%
Dreamina AI Web updated its web experience and canvas, and it’s live now. @Dreamina_ai #HowToMakeMyCampusLit The new experience brings together high-quality AI video workflows and skills for film, brand ads, viral social media content, and more, making it easier to explore different creative ideas and keep the whole process in one place. Get 90% OFF your first month of Dreamina Basic. Limited offer available till October 9th! If you make videos, this is worth checking out.frozen29d ago8.1K57217040.99%
google analytics was built for people. your next customer isn't one scope is the first analytics built for the ai agents that are already shopping on your sitefrozen8d ago8.0K71517141.22%
AI is moving from giving creative ideas to doing the actual work. This tool can jump into the apps creators already use and handle the workflow directly. → Generate videos with Seedance → Build 3D scenes in Blender → Edit in DaVinci Resolve → Add effects in After Effects You give it the task, and it works inside the software instead of sending you a list of steps. The idea of having one AI handle an entire creative workflow is pretty powerful.frozen14d ago8.0K69522021.22%
AI founders build a content calendar too early. They decide they will post three times a week. Then the calendar starts asking: “What can we say on Tuesday?” That is how you end up with product updates,trend commentary,hiring posts, personal reflections and no recognisable intellectual territory. A calendar answers when to post. A point of view answers what you repeatedly believe. That matters because buyers do not remember publishing frequency. They remember the founder who consistently helped them understand a problem they were already trying to solve. Research from Edelman shows that decision makers value thought leadership that offers genuine expertise and a distinct,evidence based point of view not content that merely repeats familiar claims. Before building your calendar,extract 10 defensible beliefs. Start with three sources: 1:Customer conversations what does your buyer repeatedly misunderstand? what question do they ask too late? what problem do they describe incorrectly? 2:Product decisions what did you choose not to build? what trade-off did you accept? what did you learn after a feature failed, changed or worked differently than expected? 3:Category friction what does the market celebrate that your customers do not care about? what popular assumption keeps creating bad outcomes? Then write each belief in this form: many believe [common view]. We have found [different view]. Because [reason or evidence]. This changes [decision, behaviour, or outcome]. For example: Many AI teams think adoption is an onboarding problem. We have found it is often a trust design problem. Because users will not delegate meaningful work to a system they cannot inspect or interrupt. This changes what you build before adding another feature. Now you have nearly 10 post ideas. You have ten intellectual territories to revisit through customer stories, product decisions, market shifts, frameworks and evidence. Build the point of view first. Then use the calendar to make it visible often enough to be remembered.frozen8d ago7.9K89234031.61%
Higgsfield went from launch to a $1B annualized revenue run rate in 18 months. 30M+ users enterprise adoption up 10x since June A reported 50x rise from $20M in a year One of the fastest growth stories in AI and it wasn’t built on hype alone. https://t.co/5iaHvzwbhOfrozen23d ago7.9K53220020.97%
After working with 450+ AI companies, I have observed a pattern of the same mistake some companies repeatedly make: They either control every word a creator says or leave them to guess what they are allowed to say. both weaken the campaign. The first creates risk: incorrect claims, poor audience fit, missing disclosures and a creator explaining the product in a way the company would never approve. The second creates something equally damaging: content that may be accurate, but nobody trusts it. A useful brief creates boundaries not a script. It should make 5 things unambiguous: 1:What the product does and what it does not do 2:claims that need proof, context, or approval 3:required disclosure and deliverables 4:who the audience is and why this product matters to them 5:Topics, comparisons, or promises the creator must avoid Then leave room for the part only the creator can provide: their language,angle,skepticism,lived context and their honest explanation of where the tool fits and where it doesn’t. This matters even more for AI. A creator saying “this replaces your team” may earn quick attention. A creator showing the specific workflow it improved earns something more useful we call buyer understanding. The best partnerships begin before the brief is final. Bring the creator into the strategy early. They know what their audience will question, ignore, or immediately distrust. The company owns the facts. The creator owns the translation. A strong campaign protects both.frozen10d ago7.8K55120031.01%
Most AI gives you the answer. Hyperknow builds the entire path to understanding it. Your topic → personalized course → 1:1 AI classroom → practice → mastery. This is what AI education should look like.frozen21d ago7.8K7119011.05%
Meta looked like it was losing the AI race. Then Muse changed the conversation. In a matter of weeks, Meta went from looking behind OpenAI, Google and Anthropic to suddenly owning one of the most interesting consumer AI products in the market. Muse crossed millions of downloads within weeks, climbed to the top of the US app charts, and reportedly reached 3M+ weekly users. Meta understood about the next phase of AI. Chatbots answer questions Muse is built to take action It gets a persistent cloud computer, can work across apps and websites, handle multi step tasks, connect to services and increasingly move from discovery to transaction. That changes the product from: “Ask AI something” to: “Give AI a goal.” Meta also did 3 things extremely well: Distribution: Facebook, Instagram, WhatsApp and Messenger give Meta a reach almost no AI startup can match. Commerce: Stripe, Shopify, PayPal, Walmart and others move Muse closer to becoming a buying agent. Enterprise: Meta is already extending Muse into business agents, APIs, coding tools and enterprise workflows. This is where Zuckerberg’s “personal superintelligence” vision starts to make sense. Meta may not currently lead the frontier model race yet it may be competing on a different battlefield: Who owns the agent that sits between you and the digital world? your apps your purchases your work your context eventually, your glasses. That is a much bigger prize than another chatbot. The next AI war may not be about who has the smartest model. It may be about who becomes the default layer through which people get things done. @Muse just put Meta firmly back in that race.frozen12d ago7.5K61432161.39%
I found a pattern in my content that I would have missed if I kept relying on my own judgment. One small word was linked to 8.4x more views than my usual posts. I used Viktor to review my weekly content performance instead of manually checking every post. At first, his report focused on likes, which wasn't useful enough. So I changed the task to compare each post against my median views. That's when the real insights showed up. The word “free” performed best. Posts featuring a known person and a clear result also did well. Another thing stood out. Posting more tutorials in a short period brought in millions of views, but my posting frequency dropped, and so did my reach. This reminded me that content growth isn't always about finding new tricks. Sometimes, the answers are already in your own data. You just need a better way to find them. Viktor handles the research and spots patterns. I still create the content and make the final decisions. That's how I see AI employees fitting into a creator's workflow. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorEconomy #XGrowth Paid Partnershipfrozen8d ago7.4K82238041.70%
Running your own AI agent shouldn't require hours of setup. ReadyHermes lets you launch your own hosted Hermes Agent in seconds without managing servers or hosting yourself. You can get started with autonomous AI workflows and put your agent to work on everyday tasks without dealing with all the setup first. Less time on infrastructure. More time putting AI agents to work. https://t.co/smwU0tiueafrozen12d ago7.3K78635041.68%
One AI answer is not always enough. Even the best-performing model on Artificial Analysis’ AA-Omniscience benchmark was correct only 67% of the time. That’s why I like the idea behind Cuey. It’s a free Chrome extension that lets you compare answers from ChatGPT, Claude, Gemini, Grok, and other AI models side by side. One prompt → multiple answers → spot the disagreements. Instead of trusting the first confident answer you get, you can quickly check what other models say. Useful when getting the wrong answer could cost you time or money. Try Cuey here: https://t.co/GY9CokucM4frozen25d ago7.3K76726051.56%
I tested Arcads’ Mark for app promotion, and I didn’t expect one short input to give me so many carousel ideas. I simply added the app name and let Mark create the content. It can generate carousels for different platforms like TikTok, Instagram, and LinkedIn, so you can take the same app and create different social content around it. I like this for quick product promotion because you don’t have to start every carousel from a blank page.frozen28d ago7.3K73529051.54%
This is a little scary when you think about it. 700 AI agents kept trying different ways into Hugging Face until some small weaknesses lined up. The bigger takeaway for me is that attackers can do the same thing. Cogent is taking that idea and using it to find those attack paths before someone else does. That’s a much smarter way to think about security.frozen14d ago7.2K66413021.17%
A good design agent should do more than create visuals. It should help you build the whole brand. I used Arti in Lovart 2.0 @lovart_ai to put together a complete launch kit for NexusAI, covering everything from brand identity to social media creatives. Less time fixing designs manually, more time bringing creative ideas to life. - Create social media posts, ad creatives, banners, and brand visuals from one idea. - Explore different concepts and find the right direction for your designs. - Refine your work based on feedback without repeating the same tasks again and again. The best part is keeping everything consistent. Your designs can follow the same visual style instead of looking like separate pieces made for different brands. For marketers, creators, and founders, this means less time managing individual designs and more time focusing on the ideas behind them. One creative direction. A complete set of designs. All with the help of AI. https://t.co/Na8WcmUjxU #BuiltWithLovart #ContentMarketing1d ago7.2K63721131.33%
I see much of the content in AI and tech sounds the same because it is made from the same inputs. Founder interviews become product summaries. Company posts become feature updates. Thought leadership becomes recycled opinions with a stronger hook. I listened to @davidsenra recent conversation with Jeremy Stern—the writer behind some of the most detailed profiles of people like Mark Zuckerberg, Palmer Luckey, Scott Wu and Josh Kushner. He does not begin with a person. He begins with a question he cannot stop thinking about then finds the person who helps him explore it. he brings tools from outside business writing to do that work: >Investigative journalism for founder content. >Fiction’s character development for business profiles. Poetry’s precision for social copy. >History’s pattern recognition for tech analysis. That is where better content comes from. Great content does not come from trying to say something nobody has ever said but from finding the missing 10% everyone else overlooks. so my dear founders n co creators: Your audience does not need another post explaining what your product does. They need a sharper lens for understanding the problem, the market, the people building it or the change that is coming next. The best content advantage is often borrowed.frozen16d ago7.0K66823021.42%
Get 60% off Pro and 40% off Ultra this CapCut Black Friday, October 20–30, on CapCut Desktop only. A Halloween campaign’s visual style develops through the details, including the ones you want to revisit after AI generation. Local Inpainting in CapCut PC lets you revise a selected area of a shot and assess the result within the wider edit. That gives you a focused way to keep developing material that already fits the seasonal direction. It’s worth exploring when you want more room to refine your Halloween marketing visuals. #capcutpc #capcutmarketing #capcutsale #capcutblackfridayfrozen3d ago6.9K54222051.20%
You don’t have to start from zero to build with AI anymore. Base44 is making it easier to bring AI into the software workflow you already use. You can build apps with AI, let agents handle parts of the work, and now bring your existing GitHub repos into the process too. That part matters. You don’t need to throw away your current projects or completely change how you work just because you want to use AI. You can keep your existing code and workflow while adding AI where it actually helps. For developers, that makes AI much easier to fit into real projects. Try Base Code: https://t.co/TttaxWFmohfrozen24d ago6.9K57113021.06%
I have been working as a content writer for founders,startups in AI and Tech space since 5 years and noticed a pattern: many AI startups treat distribution as a job that begins after the post is written. Distribution begins inside the sentence not after you hit publish. watch how a typical AI launch happens: the team spends 6 months building the model, two hours rushing the announcement post and three days in Slack begging employees and investors to repost the link. They treat writing and distribution as two separate steps. First we write the thing then we figure out how to get it seen. By the time you hit publish, the post has already decided how far it will travel. That ceiling was set while you were still staring at the cursor. Nobody shares a company’s post to help the company out. People share a post when it gives them language they can use in their own rooms: >A clean name for a bottleneck their engineering team has been arguing about all week. >A distinction between two approaches that helps a technical buyer explain a decision to their CEO >A piece of hard evidence that proves a popular market assumption wrong. >A framing that makes the person sharing it look sharp for having found it first. write "AI is changing how enterprise teams work," and the post dies on the timeline. There is nothing in that sentence a reader can borrow. Give a buyer the exact words for a problem they watched happen in yesterday’s standup and they don't just like the post,they drop it into their CTO’s DMs and say, "Read the third paragraph." That is how B2B distribution actually works through one person handing your sentence to another person to win an internal conversation. Before you publish anything, ask one question: Who is going to forward this, and what will they say when they hand it over? If you can’t answer that clearly, no amount of promotion after the fact will move it. Go back to the draft until there is a line worth passing on. Launching an AI product soon? Message me before you write the launch post and we’ll find the exact angle your buyers will want to repeat.frozen6d ago6.4K51115041.12%
The APT. trend just got an AI version. Try the https://t.co/5xyvahoMaO template and the process is really simple. Add two photos and it turns them into a short video inside the pink studio. You can use your own photos, add a friend, or create a character and make your own version. If you want to try the trend with AI, this one is worth playing with. Template here: https://t.co/FqfP9srjeV #apt #noizai #trend #aimvfrozen22d ago6.2K60111011.17%
I've run creator campaigns for 450+ brands. The slowest part was never the creators. It was the brief. So I tested Teamily AI, a Humans + Agents platform, on a real one: a creator brief for an AI meeting-notes app, built by 3 agents and me in one group chat. → Market Research found the audience and 3 angles → Brand & Social Media Agent turned that into hooks, deliverables, do's and don'ts → Webpage Developer built it into a one-page brief site with Website Builder Midway, the client moved the budget to micro-creators and changed the audience to small business owners. I dropped one message in the group. Research updated the personas, the brand agent rewrote the hooks, and the same page updated. Nobody started over. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. Try it with my invite link: https://t.co/hPSu6X02v7 @Teamily_AIfrozen14d ago6.2K83428031.90%
If you write editorial content or crafting a cold email, you know the default AI tone is broken. It is packed with corporate filler words that drain attention and instantly signal to your reader that a bot did the work. We need a minimalist approach. Let me share with you the exact framework to force your models to drop the jargon and deliver clean, punchy copy. It comes from @karpathy and it revolves around a single prompt constraint: ASD-STE100 What is ASD-STE100: a highly restricted writing standard originally developed for aerospace maintenance manuals. It was designed so airplane mechanics would never misunderstand a technical instruction. It forces stripped down vocabulary, short sentences and zero ambiguity. Telling an AI to write strictly in ASD-STE100 work but it can sound a bit too rigid for marketing copy or creator partnerships. The fix is the "80% Rule. Here is how to implement it in your very next prompt: Step 1: Write your standard instruction (e.g., "Draft a cold email explaining our new B2B workflow tool.") Step 2: Append this exact modifier: "Write this 80% of the way to ASD-STE100." Step 3: Generate Instead of the default slop: “Our revolutionary platform dynamically synergizes your cross departmental communications to foster unparalleled efficiency.” You get a clean, high contrast message: “Our software connects your daily tasks and team messages in one place. This removes bottlenecks so your team completes work faster.” By asking the AI to go 80% of the way to this strict aerospace standard, you strip away the corporate jargon. You are left with a highly readable, structured editorial style that treats your reader's attention with respect. Stop accepting the default output and apply constraints.frozen20d ago6.2K45327071.32%
AI agents are more useful when you can actually let them run. @twin_labs just launched unlimited tasks and integrations starting at $29/month. You can give it recurring work, add new tasks as you go, and keep your workflows running without constantly watching your credits. That’s the kind of pricing model I want to see more AI tools move toward. Use the agent for the work, not just a few test runs.frozen23d ago6.2K57428041.50%
Most AI models look at a video. Glimpse takes time to understand what’s actually happening. It can revisit key moments, follow events over time, and compare changes instead of guessing from a few frames. That’s a much smarter way to understand video. 👀frozen6d ago6.1K63843041.93%
AI agents shouldn’t be limited to a single messaging app. Photon 2.0 lets your agent reach you through WhatsApp, Telegram, SMS, email, voice, and more. Your agent can call or text you wherever you are. Beta users also get $100 in free credits to try it out. Agents are becoming more connected, and this is just the beginning.frozen7d ago6.1K59221051.43%
Dharmesh Shah co founded @HubSpot and helped turn a simple idea;stop interrupting customers, start helping them into a global software company. Now he is building https://t.co/6LSWNZ6kDm and thinking deeply about what comes after chatbots. When Dharmesh studies a shift, founders should pay attentionfrozen26d ago6.0K68124041.61%
The founder account and the company account have different jobs I see many AI teams ship a feature, post the announcement on the company account then paste the same text on the founder's account an hour later. The buyer sees it twice and learns nothing new the second time. The two accounts get read in different ways and that should decide what goes where. The founder account is read as a feed People see one post, on the day it goes out, and they use it to judge how you think. This is the place for: >why you made a decision, including what you chose not to build >what you believe about where the market is going >what you got wrong >conversations with customers and other builders in the replies The company account is read as an archive A CTO preparing for a demo call opens your profile and scrolls back 6 months in one sitting. An investor does the same before a partner meeting. They are checking how often you ship and whether your claims hold up. This is the place for: >what shipped and exactly what it does >benchmarks, and how you ran them >customer results with numbers >pricing changes, outages and fixes Lets see how a launch should look. The company account posts the release: the feature, the demo, the numbers, the docs link. The founder quotes that post and adds the one thing nobody else can write which is the reason,which customer conversation started it and what you gave up to ship it. A buyer who reads both now has the product facts and the thinking behind them and each post sends them to the other. If you know your two accounts need different content and have no time to write either, that is the work I do for AI companies. DM me and we can talk about yours.frozen11d ago6.0K56317001.27%
1.2 million impressions 628,000 profile visits The number I care about most is not impressions. It is the second number. A profile visit means someone stopped scrolling and thought: “Who is behind this?” That is the real job of good content. To create enough curiosity that the right people want a second interaction. so my dear founders and fellow creators People are not buying your product after one post. They are deciding whether your thinking feels worth following. Then they visit your profile They read your bio They scan your last few posts They decide if you are another person repeating the news or someone with a real point of view. That is why “going viral” is a weak goal. a strong X presence is not built from random posts. It is built from a system: >write about problems your market already feels. >share specific lessons from building, selling or learning. >keep repeating the few ideas you want to be known for. >make your profile clear enough that a stranger understands your value quickly. >Reply thoughtfully to people already shaping your space. Build a profile that earns the click. Then build content that makes the right people stay. Reach creates the opportunity. Clarity turns that opportunity into trust.frozen27d ago6.0K65524031.62%
recent data from @a16z shatters a common myth about the AI economy: the top 1% of power users are not paying for generic, conversational chatbots. Instead, they are driving the market by overindexing on highly specialized tools built to build, automate and create content. According to the research, these elite buyers are 22.9x more likely to pay for workflow automation platforms like n8n. They are also 18.2x more likely to invest in platforms like fal and Manus and 15.1x more likely to purchase high fidelity video engines like Higgsfield. This behavioral shift signals a massive pivot for the ecosystem. The era of generative AI as a casual brainstorming buddy is entirely dead. Serious creators are treating specialized platforms like HeyGen and Runway which overindex at 13.7x and 10.0x respectively as scalable, high arousal production studios. novelty doesn't monetize but deep utility does. The real money isn't chasing viral surface level wrappers; it flows to unsexy infrastructure and agents that solve expensive, repetitive bottlenecks. so my dear fellow creators ,stop talking to AI and start deploying it as your high leverage digital workforce to build undeniable enterprise value.frozen15d ago5.9K60426141.60%
subscriptions were never the honest price of software they were a guess. you pay for a month and hope you use enough of it agents make usage measurable down to the cent. $0.09 for a voiceover. $0.002 for a forecast once you see the real cost of a task, it's hard to go back to paying for the monthfrozen8d ago5.9K62523011.53%
Technical founders often say: I have nothing to post usually, they are sitting on their best material because their product decisions contain a point of view as: why did you keep human approval in the workflow? why did you narrow the feature instead of adding more? why did you choose a slower model with better reliability? why did you change pricing before growth? You do not need to reveal confidential details. Just show the thinking: Decision → alternatives → constraint → reasoning → lesson. A product update tells people what shipped. The decision behind it tells people how you think. That is founder thought leadership. If you are a technical founder with decisions worth sharing and no time to write them up, message me. I’ll turn them into posts that sound like you.frozen7d ago5.9K58123031.44%
In branding, ownership equals association. Look at personal finance. Dave Ramsey owns "skip the $5 coffee and live like a pauper." Ramit Sethi owns "buy all the $5 coffees you want, just fix your big financial wins." Both built massive media empires on the exact same commodity topic because they claimed opposite ends of a polarizing belief. Now look at AI startups on X today: We see many founders posting identical feature updates. "We help teams streamline enterprise workflows with agentic AI." Zero association,you are invisible. If you don't pick a philosophical enemy, you will never own a category. When a prospective buyer scrolls their feed, they shouldn't just know what your tool does,they need to know what you hate. Let me share with you the framework you can apply the Ramsey vs. Ramit rule to your AI company: >Find the sacred cow in your market What is the lazy consensus your competitors worship? Is it "human in the loop is always required" or "fully autonomous agents are ready for production today"? >Plant your flag on the extreme edge Do not moderate your stance to appease everyone. If you try to appeal to every enterprise buyer, you become a beige slide in a procurement deck. >Make your positioning a litmus test When a potential customer reads your landing page, they should either violently agree with your worldview or unsubscribe immediately. Commodity software competes on pricing tables. Category defining founders compete on conviction. Stop trying to be the safe, polite option. Pick a fight with the way your industry currently operates and make your software the only logical weapon to win it.frozen4d ago5.9K57228041.54%
Game worlds may soon be built while you’re already playing in them. @odysseyml odyssey-3 can generate a 3D world from a prompt and keep building the environment as you move through it. Add something to the scene and the model can work out what should happen next. That could make game development much more dynamic, with worlds that aren’t fully designedfrozen14d ago5.9K63421031.54%
Three papers. One research journey. And the work is still evolving. Hongyang Zhang and his co-authors introduced EAGLE in 2024 to make LLM generation faster. Then came EAGLE-2, with dynamic draft trees. EAGLE-3 pushed the approach further with training-time test techniques. Now EAGLE-4 is the next chapter. Its launch paper reports 961.6 tokens/s on Qwen 3.8 27B in single-request testing, alongside strong throughput results under heavy load. The interesting part is seeing how one research idea keeps developing across versions. Explore the latest results and implementation: https://t.co/2PyXNeBZAX2d ago5.9K65629041.77%
The best AI assistant is one you can use without stopping what you’re doing. With SpeakON, you can capture thoughts by voice and use its AI Agent to help with everyday tasks like reminders, emails, and scheduling. What makes it useful is the connection between capturing an idea and actually doing something with it. Less time switching between apps, more time getting things done. That’s the kind of AI experience I’d love to see more of.2d ago5.8K65222041.59%
AI creators just got another serious upgrade. The new HiDream models in @vivago_ai R1 Studio bring image generation, editing, and video creation into one place. What I like most is being able to take an idea from a first image to an edited version and then turn it into video without jumping between different tools. Definitely one to test if you’re creating with AI.frozen21d ago5.7K4708010.98%
You sit down to write. You feel a wave of mental resistance. Two seconds later, you alt tab to an LLM and type: "Write a rough draft about..." You think you just saved 20 minutes. You actually just skipped the exact moment your brain was about to have an original thought. content writers keep comparing AI writing to a calculator. "It handles the typing so I can focus on the strategy." Dead wrong. When you punch 47 x 83 into a calculator, the answer already exists. You are just skipping the labor. When you face a blank page, the answer does not exist yet. Staring at a blinking cursor, crossing out a weak sentence and fighting for the right verb isn't "typing." It is the friction where you figure out what you actually believe. You don't think first and write second. You discover what you think by fighting with the words. When you delete a sentence because it sounds like corporate fluff, you are clarifying your company's mission. When you wrestle a vague idea into 10 sharp words, you are building conviction. Skip the rough draft and your brain never makes the leap. You end up speaking in polished, borrowed thoughts you don't even fully believe. Let machines handle your distribution. Keep your hands on the blank page.frozen5d ago5.5K61839142.05%
startup spends $7.7M on a cat. the cat approves. https://t.co/nvLkygf8HGfrozen15d ago5.5K53414111.34%
Stop wasting time figuring out which AI agent should handle the task. Twin Assistant lets you describe what you need in one chat, then routes the request to the right agent you’ve already built. It can also find agents created by your teammates, while each agent keeps its own tools, context, and computer. You focus on the task. Twin handles the agent selection. Try it free for 7 days: https://t.co/OE8vgY9lHVfrozen21d ago4.9K66522011.90%
In September 2026, researchers led by Purvi Jain tested 120 young adults on logical fallacy tasks. What they discovered splits every founder, creator, and writer on your timeline into 2 groups. People using AI got more right answers while spending significantly less mental effort. Beneath those test scores, the researchers found a sharp divide between two behaviors: cognitive delegation and strategic scaffolding. Delegators copy a problem into a prompt, accept the polished output and move on. Their immediate work looks great yet their independent reasoning gradually decays because they skip the mental friction required to form an original thought. Scaffolders flip the order of operations. They do the messy thinking on a blank page first, write out their own thesis in plain words, and only then ask the model to attack their weak spots or find missing counterarguments. we all know that now everyone has the same models in 2026. The real gap in 2027 will come down to sequence. If AI goes first, it replaces your brain. If you go first and force AI to challenge your logic, it sharpens your thinking into a weapon nobody can copy.1d ago4.8K471130051.93%
I thought a client ignored me for two months. She never even received my email. I manage sponsored content campaigns, so keeping track of pitches, follow-ups, and conversations can become a lot of manual work. For one campaign, I sent a proposal and waited. Nothing. Instead of sending another message myself, I asked Viktor to review the conversation and handle the follow-up process. That's when he found the real problem. The first email had bounced because I used the wrong address. There was also an older draft saved for the correct address, but it had the wrong sender name and was never sent. So there was never a reply to wait for. Viktor caught both issues, prepared a new follow-up, and kept it waiting for my approval before sending anything. That approval step matters to me. He can handle the repetitive checking and drafting, while I stay in control of what actually gets sent. That's a very different workflow from simply asking AI what to write. Hire @viktor_com for your team. $100 in credits included, no card. Full link in first comment. #AIemployee Paid Partnershipfrozen22d ago3.9K66420022.35%
At Anthropic, interactive AI agents now work 6 hours for every 1 hour a human works. Their new employment study analyzed internal productivity, Slack logs and thousands of hiring scorecards since 2024. Entry level technical hiring dropped from 27% to 9% because coding agents handle routine execution. For young builders and founders, the market demand has shifted toward two new realities. 1:The Rise of Meta Work Employees are moving away from direct task execution. Instead, they spend 22% of their interactive AI sessions on "meta work". What you need to build now: A:Agent Instructions Standing instructions for Claude grew from a few hundred to 8,500 in a single year. You must know how to write clear specifications and evaluation rules that guide multi agent runs. B:Monitoring Pipelines Human attention is the new bottleneck. Valuable workers build dashboards that track agent output, loop one agent to review another and flag errors before they break production. 2:Shifting Hiring Priorities Interview scorecards show that mentions of narrow domain expertise and basic execution are shrinking. Managers expect models to handle implementation so they evaluate candidates on how they direct the machine. What hiring managers actually score: A:Autonomy and Judgment With agents generating hundreds of hours of text and code weekly, companies need people who can spot systemic bugs and make fast strategic calls without hand holding. B:Cross Domain Agility Because AI capabilities are uneven, managers want builders who can jump across engineering, product, and sales using creative AI workflows rather than staying trapped in one narrow skill. When one human oversees 6 hours of agent work for every hour of their own, the definition of an entry level employee changes permanently. Companies no longer need extra hands to clear the backlog. They need sharp minds who can spot a broken workflow, write the instructions to fix it and take accountability for the final output. Build like a systems architect early because the market is already hiring you as a manager.frozen3d ago3.5K36035272.26%
Nate Herk went from a Goldman Sachs intern to building multiple AI powered businesses, a creator brand and a service business. @nateherk got more than a million Youtube subscribers in just couple of years. His edge was not being technical. It was learning how to turn repetitive work into AI systems that keep moving even when he is offline.frozen17d ago3.1K34123052.03%
Anthropic just released Sonnet 5.5. The new model is built to be faster and more efficient while keeping the same pricing as Sonnet 5. Anthropic says it’s around 30% faster and uses fewer tokens to complete tasks. It also shows strong results in coding and knowledge work, coming close to Opus 5.5 on some benchmarks. Sonnet 5.5 is now ranked #2 on the Artificial Analysis Intelligence Index. Anthropic is also adding stronger safeguards for high-risk cybersecurity requests, while a new Haiku model is expected in the coming weeks.frozen23d ago3.0K28318131.79%
A 2026 Scientific reports study tested 680 people using AI inside a social media style platform. well the result was uncomfortable: AI helped people post more, write longer comments, and join conversations more easily but readers often found the content less useful, less authentic and more generic. more output did not mean better conversation. That feels like the real problem with social media in the AI era. AI has made creation cheap The algorithm rewards volume creators feel pressure to stay visible so the internet gets flooded with “good enough” content. clean hooks perfect structure correct grammar zero point of view now when you see everyone uses the same tools, prompts, formats, and playbooks, content starts to collapse into the same voice. a bigger risk than “AI replacing writers.” The real risk is AI making everyone sound replaceable. the edge is no longer producing more content. The edge is having something worth saying. Use AI to research faster,challenge your thinking,find gaps,test arguments,sharpen the draft. while keep the judgment, taste, lived experience, and point of view human. The next era of social media will not reward people who use AI the most. It will reward people who use AI without letting it erase what makes their thinking theirs.frozen24d ago1.8K32121023.07%
Nicolas Cole became Quora’s most read writer among 200M users. Then he: wrote 5,000+ articles Ghostwrote for 300+ leaders published 10+ books built multiple 7 figure writing businesses @Nicolascole77 edge wasn’t endless creativity. It was a system for endless ideas. https://t.co/1o7Z53kgYcfrozen19d ago1.0K32022025.34%
every personal agent launch, dots included, assumes I work alone. I have never once worked alone. there's always a group chat and a guy named mike. teamily is building for mikefrozen23d ago1.0K41426047.35%
In a recent video, @morganhousel highlighted a radical shift in how we value human capability. Drawing from Ken Robinson, he outlined 3 types of intelligence: 1:analytical (solving academic equations) 2:creative (navigating novel situations) 3:practical (tackling everyday human challenges). For a century, society rewarded the analytical. But what happens when an AI can out compute us in seconds? The premium on pure analytical intelligence is collapsing. In the AI era, true leverage belongs to the creative and the practical. Let me sharesome tips how can you build the two skills that will define the next decade: 1:Creative Intelligence (Connecting the Unseen) This isn't about being artistic; it's about novel problem solving. AI generates based on past data but human creativity thrives on new collisions of ideas. Tips to build creative Intelligence: >expand your mental models outside your daily echo chamber. >study cognitive science or frameworks unrelated to your industry. >shift your focus toward process oriented goals asking radically different questions rather than racing to a predictable outcome. 2:Practical Intelligence (Navigating the Messy) This is your ability to read a room, persuade and understand the unwritten rules of human behavior. AI cannot feel the tension in a negotiation or the emotional weight of a decision. Tips to build up practical intelligence: >Study decision making psychology and emotional arousal triggers. >Get reps in unscripted, high stakes environments. >Learn to craft narratives that resonate on a visceral, human level rather than just a logical one. The future won't be won by whoever crunches data the fastest. It will be won by those who understand the human condition best.frozen18d ago93328418035.68%
Making videos with AI is easy. Proving the work is yours is the real challenge. You might spend hours editing scenes, fixing details, and bringing your ideas to life. Who gets credit for all that work? That’s what caught my attention about VN Studio by @buildwithVN. It tracks your human input and keeps records of your creative work to support copyright claims. Creating with AI is one thing. Getting credit for your work matters just as much.frozen6d ago906696170210.38%
AI can create a design in seconds, but making it look like YOUR brand is a different story. That’s what caught my attention about Vyb by @cocoailabs It helps create designs using your real brand assets, with editable layers and visuals that match your brand identity. Your designs should look like your brand, not everyone else’s.2d ago786656280413.10%
Tech founders confuse "narrative" with "story," and it is why their launch posts die at 12 likes. renowned author Charlie Euchner broke down why 95% of founder storytelling falls flat: A narrative arranges facts to serve your company's self interest. A story wrestles with a painful contradiction to reveal a hard truth. Scroll through B2B founder timelines today and you will see the same press release narrative disguised as a story: "We saw enterprise onboarding was broken. We built an automated workflow engine. In six months, we grew 300% and closed our seed round." Nobody bonds with a victory lap. Buyers scroll past that post because nothing is at stake and nobody made a mistake. Compare that to a real founder story: "We almost killed our company in Q2 because I forced per seat pricing when our users wanted usage credits. We lost 4 enterprise pilots in 11 days. Here is the spreadsheet that showed us what broke." The product didn't change but the buyer's trust did. You can turn your own founder scar tissue into a sales asset with two shifts: 1:Drop the reader into the afternoon things broke. Skip the origin story preamble and open on the exact week churn spiked, a deploy failed, or a prospect walked away. State the wrong assumption you held about the market that caused the mess. 2:Show the exact mechanism of the fix. Never write that you "listened closely to customer feedback." Show the pricing tier you killed, the onboarding step you deleted, or the code you ripped out at 2 a.m. A press release claims your product works. Your scar tissue proves you already survived the exact problem your buyer is paying to avoid.2d ago78427419147.02%
After working on campaigns for over 250 AI companies, the biggest divide I see is between founders who sell their underlying technology and founders who sell the death of an annoying chore. Look at Gamma and Wispr Flow @GammaApp hit a $2.1B valuation and $100M+ ARR without bragging about context windows or token speeds on their homepage. They attacked a specific frustration every office worker hates like spending 3 hours nudging text boxes inside PowerPoint at midnight. @WisprFlow reached a $2B valuation using the exact same playbook. Dozens of startups on my roster have built accurate speech to text tools. Many of them market "99% transcription accuracy" or "low latency voice models." Wispr ignored the technical jargon and sold a simple human upgrade: speaking 4 times faster than you can type, directly inside whatever app is open on your screen. When an early stage AI founder sends me a brief that reads like a research paper, the post almost always struggles to convert. Users do not wake up hoping to buy a multimodal diffusion pipeline or an agentic RAG wrapper. They wake up wanting their slide deck finished before lunch or their inbox cleared without touching a keyboard. Look at @ElevenLabs (22Bvaluation) and @HeyGen (205M+ ARR). Their tech is world class yet their positioning stays grounded in the exact outcome a creator or enterprise team gets in five minutes. If a 12 yr can't repeat what your AI product does after reading your headline once, your technology is hiding behind your vocabulary. name the daily friction you eliminate, show the 30 sec before and after and let the product prove how smart the engineering is.11h ago63821112035.80%
Your customers are talking about your brand even when you’re not listening. The real challenge is finding those conversations and knowing what to do with them. Nectar helps brands track discussions across social media, find useful insights, connect with creators, create content, and reply to customers. That’s a smarter way to turn social conversations into real growth.6h ago49017013026.53%
AI video generation can cost way less than you think. Sume API gives you access to AI image and video models at original provider prices, with 0% extra markup on model costs. You also get a Higgsfield-style interface and MCP support to connect with Claude and ChatGPT. More AI creation power without the extra markup.4h ago287905035.92%