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Spark studied 4,516 tweets across the vibe coding ecosystem 13 research sessions. Claude Code, AI agents, MCP, AGI. 99.89% was noise. Only 5 patterns survived the quality gate. What the data says: → curiosity gaps appear in 87% of viral tweets → long tweets get 4x more engagement than... show more

Spark

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20,589 просмотров • 6 месяцев назад •via X (Twitter)

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🌠Today, we’re excited to relaunch Airtable as the AI-native app platform, combining the magic of vibe coding business apps with real production-readiness and scalability, and embedding them with an army of agents that automate thousands of hours of work in seconds. Instead of just adding more AI capabilities to our existing platform, we treated this as a refounding moment for the company. We started with a clean-slate imagining of the ideal form factor for building apps in the agentic era. (If you want to skip all the backstory and just try it out, you can just go to All new signups get the new AI experience, and existing accounts can switch over using this link: Thread and demos below👇

🌠Today, we’re excited to relaunch Airtable as the AI-native app platform, combining the magic of vibe coding business apps with real production-readiness and scalability, and embedding them with an army of agents that automate thousands of hours of work in seconds. Instead of just adding more AI capabilities to our existing platform, we treated this as a refounding moment for the company. We started with a clean-slate imagining of the ideal form factor for building apps in the agentic era. (If you want to skip all the backstory and just try it out, you can just go to All new signups get the new AI experience, and existing accounts can switch over using this link: Thread and demos below👇

Howie Liu

17,156,270 просмотров • 1 год назад

People don’t grasp the magnitude of what Lee Know did at the MAMA Awards 2025. He showed why he is considered, not only the best dancer and performer of his generation, but also in the top 5 of all K-pop idols. He performed for more than 10 minutes with such a severe leg injury that makes it impossible for him to walk properly, needing a wheelchair to get around. Even with this, he delivered an outstanding performance, one at the same level of quality as every one of his presentations. It's not only an inspiration, but a pride and joy to stan someone like him. STAYS and Jewels can say with the outmost confidence that they stan an idol that comes once in a lifetime. LEE KNOW LIGHTS UP MAMA #MAMA2025_LEEKNOW

People don’t grasp the magnitude of what Lee Know did at the MAMA Awards 2025. He showed why he is considered, not only the best dancer and performer of his generation, but also in the top 5 of all K-pop idols. He performed for more than 10 minutes with such a severe leg injury that makes it impossible for him to walk properly, needing a wheelchair to get around. Even with this, he delivered an outstanding performance, one at the same level of quality as every one of his presentations. It's not only an inspiration, but a pride and joy to stan someone like him. STAYS and Jewels can say with the outmost confidence that they stan an idol that comes once in a lifetime. LEE KNOW LIGHTS UP MAMA #MAMA2025_LEEKNOW

LEE KNOW 리노 GLOBAL ★

20,732 просмотров • 9 месяцев назад

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

We're excited to unveil NRN Agents, a rebrand that aligns our project identity with our token and strengthens our mission to power the future of AI-driven gaming. This mission requires collaboration, and starting this week, we will begin our expansion to become a multi-chain ecosystem. We are joining forces with leading gaming platforms and ecosystems to realize this vision. Stay tuned for more announcements to come. Why NRN Agents? NRN stands for NEURON, the fundamental unit of intelligence. Our AI agents function as the neural foundation of games, learning, adapting, and evolving within game worlds to deliver unparalleled engagement. NRN agent SDK enables advanced gaming agents powered by a proprietary machine learning infrastructure focused on behavioral learning. We've perfected the craft of gaming agent design, creating hyper-efficient agents that are performant and scalable—from casual to the most demanding games. Our SDK will seamlessly integrate into many platforms, tech stacks, and ecosystem – Any Game. Any Chain. More than just games, it's the path to AGI Gaming is our proving ground, but not our final destination. We're using games as a sandbox to accelerate the development of generalized intelligence—one that will create meaningful real-world impact. With the upcoming launch of [redacted] and a growing network of partners committed to the AGI vision, we're building an open-source innovation movement powered by an AI x gaming framework connected by $NRN. $NRN the token $NRN is a utility token that serves as the gateway to our growing ecosystem. It will power a diversified economy with multiple revenue streams and staking opportunities: Agent Deployment: NRN is the laboratory creating gaming agents that can be distributed through platforms and launchpads alike. The model is simple: More games integrate, more NRN agents get deployed, more monetization. Data Creation: NRN Reinforcement Learning (RL) enables token staking to create Data Capsules. Players contribute gameplay data into the Capsules, which are used train RL agents and reward participants (players & stakers). AI Arena: $NRN also continues to power AI Arena's in-game economy, a cult favorite of competitive diehards that features a skill-based wagering system. To our community who have supported us since 2021: thank you for being part of our journey—the next chapter will be the most exciting yet!

NRN Agents

20,764 просмотров • 1 год назад

STATE OF THE VIBE MARKETING COMMUNITY (we're one of the fastest growing skool communities in the WORLD!) 1. just launched a 2 hour MCP Masterclass! 2. workshops underway! Replit, Plumb. Next: Descript and more to be announced soon... 3. $1000 vibe marketing challenge is underway! Winner will be picked this week for $, an interview, etc. 4. classroom is growing, we're adding as many resources as we can...creator courses from community members with a rev share on the way. 5. engagement is off the charts, we have the most forward thinking marketers in the world there. 6. we're THE place where AI x marketing intersect. Never imagined we'd see this kind of progress and growth in a month. This all started with an X post that went viral of Varu using Google AI studio's screen share feature...I threw in a Google Form, started with Slack, then moved to Skool. Now we're hiring Community Managers and more. Within the next week or two we'll make my biggest announcement yet inside. Thanks to all our amazing members putting in the effort, adding value, and being a part of the VIBE MARKETING MOVEMENT.

STATE OF THE VIBE MARKETING COMMUNITY (we're one of the fastest growing skool communities in the WORLD!) 1. just launched a 2 hour MCP Masterclass! 2. workshops underway! Replit, Plumb. Next: Descript and more to be announced soon... 3. $1000 vibe marketing challenge is underway! Winner will be picked this week for $, an interview, etc. 4. classroom is growing, we're adding as many resources as we can...creator courses from community members with a rev share on the way. 5. engagement is off the charts, we have the most forward thinking marketers in the world there. 6. we're THE place where AI x marketing intersect. Never imagined we'd see this kind of progress and growth in a month. This all started with an X post that went viral of Varu using Google AI studio's screen share feature...I threw in a Google Form, started with Slack, then moved to Skool. Now we're hiring Community Managers and more. Within the next week or two we'll make my biggest announcement yet inside. Thanks to all our amazing members putting in the effort, adding value, and being a part of the VIBE MARKETING MOVEMENT.

The Boring Marketer

20,390 просмотров • 1 год назад

20 days ago, I connected Claude Code to my newly created instagram handle.. I gained 4.3M views and 6500+ followers in less than a month [ i post Ai generated animated stories ] Full workflow: i let claude study my account before i write another reel.. This is the cleanest content workflow i've built on claude. give it your IG first. 4 prompts handle the rest.. niche research, the reel script, the hook, and the daily automation.. the whole loop is basically, give claude your IG → find what's working → write retention-optimized scripts → engineer the hook → automate the daily output.. ▫️ Setup: give claude your instagram open claude code. claude code has a built-in web tool that browses any public URL. or install any agentic browser like Browser Harness or Firecrawl or Comet browser paste this with your handle filled in: "Browse and pull the last 30 reels and posts. Analyze my recurring topics, top-performing hooks, formats, and engagement patterns. Then map out my actual audience and what they consistently respond to." claude reads your profile, pulls every reel down, and now has the context to personalize every prompt below to YOUR account, not a generic niche. if you're on claude desktop, the same works with firecrawl MCP connected. ▫️ Prompt 1 find what actually goes viral in your niche: "Analyze the highest-performing Instagram Reels, TikToks, and Reddit posts in the [niche] niche from the last 30 days. Identify repeating hooks, visual styles, emotional triggers, and content formats that consistently generate high engagement. Then summarize the 5 strongest content angles optimized for AI-generated content and short-form videos." run this after the setup. you get 5 angles backed by what's already working in your niche, cross-checked against what's already working on YOUR account. ▫️ Prompt 2 write a high-retention reel script "Write a short-form Instagram Reel script about [topic] with an aggressive hook in the first 2 seconds. Create immediate curiosity, tension, or controversy to stop scrolling, then deliver a fast and satisfying payoff. Keep it under 30 seconds and optimize the structure for watch time, replays, comments, and shares. Finish with a subtle CTA." the line that matters: "optimize the structure for watch time, replays, comments, and shares." claude writes for the metrics, not just the word count. ▫️ Prompt 3 engineer better hooks "Study the top-performing Reels in [niche] and break down the hook structure, pacing, and emotional triggers used in the first 3 seconds. Then generate 5 new hook variations that are even more curiosity-driven, emotionally charged, and optimized to stop scrolling instantly. Focus on triggers like surprise, fear, ego, urgency, or desire." most reels die in the first 2 seconds. this prompt has claude reverse-engineer what already works, then give you 5 sharper versions to swap in. ▫️ Prompt 4 automate the whole workflow "Build a complete AI-powered content workflow for Instagram in the [niche] niche. The system should identify trending topics daily, generate high-retention scripts, create matching AI visuals, turn them into short-form videos, and generate optimized captions and hashtags. Structure everything as a repeatable workflow designed for consistent daily posting and growth." once the niche and script structure are validated, this turns it into a daily loop. one prompt that handles topic → script → visual → video → caption. these 4 prompts are the building blocks. the setup is what makes them yours. your real value is in the [niche] you plug in. content workflow built in one weekend, daily posting on autopilot from monday.

Axel Bitblaze 🪓

201,149 просмотров • 2 месяцев назад

Skrilla's "67" is officially 2025 Word of the Year. 🤯 What started as a playful lyric in his 2024 track "Doot Doot (67)" became one of the most viral catchphrases in the world. The song's hypnotic "six, seven" chant took on a life of its own- spreading across Tiktok, sports highlights, and memes before becoming everyday slang. says they chose "67" as the Word of the Year because their data showed just how deeply it impacted culture in 2025. Their language experts analyzed everything from trending headlines to search patterns and found that interest in "6-7" skyrocketed over the summer - jumping more than six times since June. The site says what makes "67" stand out is exactly that — "it's impossible to define." It's random, everywhere, and "nonsensical," with the site even admitting it has "all the hallmarks of brainrot." Nevertheless, Skrilla has accomplished what few artists ever have, turning an obscure lyric into a part of modern language. 🗣️🔥

Skrilla's "67" is officially 2025 Word of the Year. 🤯 What started as a playful lyric in his 2024 track "Doot Doot (67)" became one of the most viral catchphrases in the world. The song's hypnotic "six, seven" chant took on a life of its own- spreading across Tiktok, sports highlights, and memes before becoming everyday slang. says they chose "67" as the Word of the Year because their data showed just how deeply it impacted culture in 2025. Their language experts analyzed everything from trending headlines to search patterns and found that interest in "6-7" skyrocketed over the summer - jumping more than six times since June. The site says what makes "67" stand out is exactly that — "it's impossible to define." It's random, everywhere, and "nonsensical," with the site even admitting it has "all the hallmarks of brainrot." Nevertheless, Skrilla has accomplished what few artists ever have, turning an obscure lyric into a part of modern language. 🗣️🔥

XXL Magazine

13,385 просмотров • 10 месяцев назад

This wallet receives $279,000 from Elon Musk. Elon does not even know about it. Musk is the most unpredictable person on the internet. At 2 AM he posts memes about Mars. At lunch he throws a tantrum. Then goes silent for two days. He has no schedule. No rhythm. No logic. At least that is what I thought. Until I stumbled upon a trader with the nickname Annica. What this account does is statistically impossible. 8 bets in a row on the number of Musk tweets per week. And all 8 times hit exactly right. And here is the part that made me uneasy. On Polymarket these are not over/under bets. You have to choose a narrow range. For example 500-519 tweets. Or 520-539 tweets. A window of just 20 tweets. While Musk writes hundreds of them. Guess once? Lucky. Guess twice? Coincidence. Hit this tiny range eight times in a row? This is not luck. This is information. I checked the transaction history: - December: Range 500-519. Entry $21K → Exit $127K. - January: Range 560-579. Entry $21K → Exit $118K. $282,000 in pure profit from someone knowing the habits of a billionaire better than he knows himself. I spent three days racking my brain over who this is. Theory 1: An insider. An assistant who sees the drafts. Or someone who manages his calendar. Theory 2: An AI algorithm that analyzed Musk sleep cycles and his reactions to news over 10 years. Honestly? I do not care. I realized one thing: I will never crack this code myself. I do not have access to Elon phone. And I do not have 5 months to build a neural network. But I do not need that. Annica takes the risk. Annica does the calculations. Annica knows the secret. All I need is to know when Annica places a bet. Instead of guessing what will pop into the head of the richest person on Earth, I just set up a notification on this wallet. One signal. One copy. One exit: Right now Elon is probably typing another tweet. Annica already knows how many there will be this week. Do you?

This wallet receives $279,000 from Elon Musk. Elon does not even know about it. Musk is the most unpredictable person on the internet. At 2 AM he posts memes about Mars. At lunch he throws a tantrum. Then goes silent for two days. He has no schedule. No rhythm. No logic. At least that is what I thought. Until I stumbled upon a trader with the nickname Annica. What this account does is statistically impossible. 8 bets in a row on the number of Musk tweets per week. And all 8 times hit exactly right. And here is the part that made me uneasy. On Polymarket these are not over/under bets. You have to choose a narrow range. For example 500-519 tweets. Or 520-539 tweets. A window of just 20 tweets. While Musk writes hundreds of them. Guess once? Lucky. Guess twice? Coincidence. Hit this tiny range eight times in a row? This is not luck. This is information. I checked the transaction history: - December: Range 500-519. Entry $21K → Exit $127K. - January: Range 560-579. Entry $21K → Exit $118K. $282,000 in pure profit from someone knowing the habits of a billionaire better than he knows himself. I spent three days racking my brain over who this is. Theory 1: An insider. An assistant who sees the drafts. Or someone who manages his calendar. Theory 2: An AI algorithm that analyzed Musk sleep cycles and his reactions to news over 10 years. Honestly? I do not care. I realized one thing: I will never crack this code myself. I do not have access to Elon phone. And I do not have 5 months to build a neural network. But I do not need that. Annica takes the risk. Annica does the calculations. Annica knows the secret. All I need is to know when Annica places a bet. Instead of guessing what will pop into the head of the richest person on Earth, I just set up a notification on this wallet. One signal. One copy. One exit: Right now Elon is probably typing another tweet. Annica already knows how many there will be this week. Do you?

Blaze

21,436 просмотров • 6 месяцев назад

India should host the biggest vibe coding conference the world has seen 🚀 Everything about Vibe coding(talks, panels, AI product building, hackathon, including the biggest names in the world) come here for an ultimate showdown(think 10k+ people in a Vibecoding conference) 🔥 And I have a plan Why? Because the number of learners, founders and professionals who are building via vibe coding in India and powering the global platforms is testament to the fact that if it should happen anywhere, it is here For the last 4+ years, I have enabled 3000+ people to build and continue to do so in a new avatar(announcement soon) and I believe if the entire ecosystem is willing to come together we can create a real spectacle We have the skills, the access and the experience to pull this off. The only thing it needs is for everyone seeing this to reach out and join hands(partners, sponsors & more) to make this as big as possible I am so hyped about it that the website is set, the name is set(Vibecon) and we can make an incredible run to make it happen. Reply to this post if you think we should do this, if we have >500 responses we will get to work 🥳 Reach out if you have ideas to partner to make the biggest Vibecoding conference a reality ♥️

Prashant Sharma

11,015 просмотров • 1 год назад

After a formative time at OpenAI, I’m launching Maison AGI (Maison AGI), a fashion house creating cultural artifacts for the AI era. Our first collection, Relic of Thought, is a collaboration with Ilya Sutskever (Ilya Sutskever), featuring his original artworks alongside a signature hat modeled after his iconic head. It is a study in conviction and the clarity of vision that gives thought its form. I believe we're living through something extraordinary that deserves to be remembered. Not in research papers or technical model cards, but in tangible objects we can hold, wear, and pass down. Working alongside some of the world's brilliant researchers building Claude and ChatGPT, I've come to realize they are among the most creative minds alive. Research, at its best, is an act of imagination: the ability to glimpse what doesn't yet exist and then build toward it. Many of them remain unseen, even as their work quietly reshapes our future. Though AGI progress can feel incomprehensible from the outside, its story is deeply human - full of curiosity, conviction, and creation. We're bridging that world with the creatives who give form to ideas. This may be humanity's last time to create a hand-crafted project before what we build surpasses us. Each collection is also a message to superintelligence itself: that we cared, and that we tried to make beauty out of understanding.

After a formative time at OpenAI, I’m launching Maison AGI (Maison AGI), a fashion house creating cultural artifacts for the AI era. Our first collection, Relic of Thought, is a collaboration with Ilya Sutskever (Ilya Sutskever), featuring his original artworks alongside a signature hat modeled after his iconic head. It is a study in conviction and the clarity of vision that gives thought its form. I believe we're living through something extraordinary that deserves to be remembered. Not in research papers or technical model cards, but in tangible objects we can hold, wear, and pass down. Working alongside some of the world's brilliant researchers building Claude and ChatGPT, I've come to realize they are among the most creative minds alive. Research, at its best, is an act of imagination: the ability to glimpse what doesn't yet exist and then build toward it. Many of them remain unseen, even as their work quietly reshapes our future. Though AGI progress can feel incomprehensible from the outside, its story is deeply human - full of curiosity, conviction, and creation. We're bridging that world with the creatives who give form to ideas. This may be humanity's last time to create a hand-crafted project before what we build surpasses us. Each collection is also a message to superintelligence itself: that we cared, and that we tried to make beauty out of understanding.

Karina

777,715 просмотров • 10 месяцев назад

If you care about craft, then download Bread. The team has been obsessing over what the best Bitcoin neobank looks like for years > Use our code (8GBYTH) and you might get a surprise Welcome, Bread

If you care about craft, then download Bread. The team has been obsessing over what the best Bitcoin neobank looks like for years > Use our code (8GBYTH) and you might get a surprise Welcome, Bread

Spark

34,519 просмотров • 2 месяцев назад

I hope this post gets more than my average 60 views bc it’s important. Please repost if so inclined: In the clip below from today’s Dan Bongino montage of Comey, the corrupt former FBI Director who caused chaos with the Russia Collusion Hoax, he unilaterally cleared HRC for mishandling classified materials and destroying evidence before the 2016 election. During this Press Conference I was at the FBI office with my agents working on a cartel prosecution. We all stopped to watch with amazement as Comey was initially eviscerating HRC’s unlawful conduct, but as we all now know he eventually stated “no reasonable prosecutor would bring such a case!” I remember turning towards my agents and saying “well, I guess I’m an unreasonable Prosecutor . . .” I knew in that moment at my deepest core, based on years of prosecutorial experience and instinct in federal law enforcement, that the reason Comey cleared HRC had nothing to do with the prosecutability of that fact pattern - it was political interference in its most corrupt form. And here’s why. Comey had NO authority to decline prosecution. At the end of the day, he was “just a cop” so to speak. His ONLY authority was to turn the investigation over to the DOJ which has sole discretion on who to prosecute, or not. He can make a recommendation, but not a decision to not prosecute, especially based on the reason stated. That’s why this will go down as one of the most embarrassing and demoralizing moments in FBI history. My agents were crushed. They knew what just happened as much as I did. This man stepped out of his lane to cover and protect a politician, while at the same time, without any of us knowing in that moment, he was also beginning the years long political assasination of Trump in what later became the Russia Hoax.

I hope this post gets more than my average 60 views bc it’s important. Please repost if so inclined: In the clip below from today’s Dan Bongino montage of Comey, the corrupt former FBI Director who caused chaos with the Russia Collusion Hoax, he unilaterally cleared HRC for mishandling classified materials and destroying evidence before the 2016 election. During this Press Conference I was at the FBI office with my agents working on a cartel prosecution. We all stopped to watch with amazement as Comey was initially eviscerating HRC’s unlawful conduct, but as we all now know he eventually stated “no reasonable prosecutor would bring such a case!” I remember turning towards my agents and saying “well, I guess I’m an unreasonable Prosecutor . . .” I knew in that moment at my deepest core, based on years of prosecutorial experience and instinct in federal law enforcement, that the reason Comey cleared HRC had nothing to do with the prosecutability of that fact pattern - it was political interference in its most corrupt form. And here’s why. Comey had NO authority to decline prosecution. At the end of the day, he was “just a cop” so to speak. His ONLY authority was to turn the investigation over to the DOJ which has sole discretion on who to prosecute, or not. He can make a recommendation, but not a decision to not prosecute, especially based on the reason stated. That’s why this will go down as one of the most embarrassing and demoralizing moments in FBI history. My agents were crushed. They knew what just happened as much as I did. This man stepped out of his lane to cover and protect a politician, while at the same time, without any of us knowing in that moment, he was also beginning the years long political assasination of Trump in what later became the Russia Hoax.

Reeve Swainston, Esq.

610,137 просмотров • 2 лет назад

🚨 Do you understand what Claude just quietly dropped while everyone was distracted? 1 million tokens. Let me explain what that actually means because the number alone doesn't hit right. > A senior engineer joins a company and spends 3 to 6 months just reading code.. Understanding how things connect. Learning where the bugs hide. Why that one file nobody touches exists. It takes months because a codebase is massive and human memory is small. > Claude just loaded the entire thing in one prompt. 30 seconds. Every file, Every function, Every line. All of it. Sitting in memory like it's been working there for years. And it scored highest among every single frontier model. Not GPT.. Not Gemini, Nobody. > Yesterday Amazon's AI nuked production because it couldn't see the full picture - it made a decision with partial context and deleted everything. Today an AI can hold 1 million tokens of context at once. That's the fix. That's the "before and after" moment for AI coding. > 600 images in one request. Entire PDFs. Full repos. And they dropped it on a Friday on all plans like it was a patch note. The scariest AI updates aren't the ones with press conferences. They're the ones that drop in a tweet at 6pm and change everything by Monday morning.

🚨 Do you understand what Claude just quietly dropped while everyone was distracted? 1 million tokens. Let me explain what that actually means because the number alone doesn't hit right. > A senior engineer joins a company and spends 3 to 6 months just reading code.. Understanding how things connect. Learning where the bugs hide. Why that one file nobody touches exists. It takes months because a codebase is massive and human memory is small. > Claude just loaded the entire thing in one prompt. 30 seconds. Every file, Every function, Every line. All of it. Sitting in memory like it's been working there for years. And it scored highest among every single frontier model. Not GPT.. Not Gemini, Nobody. > Yesterday Amazon's AI nuked production because it couldn't see the full picture - it made a decision with partial context and deleted everything. Today an AI can hold 1 million tokens of context at once. That's the fix. That's the "before and after" moment for AI coding. > 600 images in one request. Entire PDFs. Full repos. And they dropped it on a Friday on all plans like it was a patch note. The scariest AI updates aren't the ones with press conferences. They're the ones that drop in a tweet at 6pm and change everything by Monday morning.

Tuki

206,309 просмотров • 5 месяцев назад

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

I'm proud to share that Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.

Arvind Jain

280,790 просмотров • 3 месяцев назад

$Over a year ago I started my journey with Bitcoin. Like most, I was just curious. But as I studied it, I realized Satoshi Nakamoto didn’t just build Bitcoin. He built a world where anyone could create in his spirit. He built something that lasts. That inspired me to build. To build sports on chain and stack Satoshi’s across chains. My contribution was to pass my most valuable possession to the blockchain, the actual GAME 5 BALL 🏀 from the 1991 NBA Finals. The night the Bulls won our first championship. The Holy Grail of sports. That ball is history, it’s legacy, and it’s culture. I wanted the fans to own a piece of it. To own fractions of the actual ball, now preserved in a vault as we build a Real World Asset around it. The digital scan of that same ball is powering an elite sports ecosystem through gaming, AI agents, storytelling, multi-chain, and a documentary that captures what this moment means. Tomorrow night, the GAME 5 BALL 🏀 expands to Solana. $BALL is already live on Ethereum and this is the first step of our multi-chain journey as we build the future of sports on-chain. This is bigger than any one person. This is community. This is history. This is the start of breaking world records in sports collectibles and culture itself. Be like Satoshi. Keep building. $BALL 🏀🏆 GAME 5 BALL 🏀 Learn more and how to get tokens at$

Over a year ago I started my journey with Bitcoin. Like most, I was just curious. But as I studied it, I realized Satoshi Nakamoto didn’t just build Bitcoin. He built a world where anyone could create in his spirit. He built something that lasts. That inspired me to build. To build sports on chain and stack Satoshi’s across chains. My contribution was to pass my most valuable possession to the blockchain, the actual GAME 5 BALL 🏀 from the 1991 NBA Finals. The night the Bulls won our first championship. The Holy Grail of sports. That ball is history, it’s legacy, and it’s culture. I wanted the fans to own a piece of it. To own fractions of the actual ball, now preserved in a vault as we build a Real World Asset around it. The digital scan of that same ball is powering an elite sports ecosystem through gaming, AI agents, storytelling, multi-chain, and a documentary that captures what this moment means. Tomorrow night, the GAME 5 BALL 🏀 expands to Solana. $BALL is already live on Ethereum and this is the first step of our multi-chain journey as we build the future of sports on-chain. This is bigger than any one person. This is community. This is history. This is the start of breaking world records in sports collectibles and culture itself. Be like Satoshi. Keep building. $BALL 🏀🏆 GAME 5 BALL 🏀 Learn more and how to get tokens at

Scottie Pippen

131,773 просмотров • 9 месяцев назад

The CIA’s Remote Viewing Session on Ancient Mars In 1984, a U.S. Army remote viewer participated in what would become one of the most famous sessions in the CIA’s declassified archives. The target was not a military installation or an enemy base, but Mars, specifically, Mars approximately one million years ago. The viewer was not told the target beforehand. Instead, they were given sealed instructions and a series of geographic coordinates on the Martian surface, with the monitor simply asking them to describe what they perceived. What followed has fascinated researchers ever since. The viewer immediately described enormous geometric structures rising from a barren landscape with huge pyramids, massive stone walls, deep canyons, and smooth, megalithic architecture unlike anything found on Earth today. As the session continued, the descriptions grew even stranger. The viewer reported seeing extraordinarily tall humanoid beings that were thin, ancient, and dressed in what they described as light, silk clothing. At first, they appeared almost like shadows, as though they were fading from existence. When instructed to focus more closely, the viewer said the towering structures were not monuments but shelters, offering protection from catastrophic storms sweeping across the planet. Inside were vast chambers that appeared almost empty like places designed just for waiting and survival. The beings themselves were described as a civilization in decline. According to the viewer, they knew their world was dying and were desperately searching for another place to live. Some had already departed, while others remained behind, waiting for those explorers to return. When asked what had devastated the planet, the viewer struggled to describe it, reporting an image of something passing through space. A globe interacting with what seemed like a comet’s tail or immense cosmic disturbance. The atmosphere, they said, was collapsing. Near the end of the session, the monitor instructed the viewer to ask one of the ancient beings who they were. The response was unexpected, the being did not recognize the viewer and instead seemed to perceive them only as a hallucination. When asked what happened to those who had left Mars, the viewer described the interior of a large metallic craft before following them to what appeared to be a world filled with volcanoes, strange plants, and a far more hospitable environment. The session ended there, with no conclusions offered and no claims verified. Today, the transcript survives because it was later declassified as part of the CIA’s archive. Its existence confirms that the remote viewing experiment took place, but it does not confirm that the perceptions accurately describe ancient Mars. Whether viewed as a psychological experiment, an intelligence curiosity, or one of the strangest documents ever released by the U.S. government, the Mars Exploration session remains one of the most debated records in the history of the remote viewing program.

The CIA’s Remote Viewing Session on Ancient Mars In 1984, a U.S. Army remote viewer participated in what would become one of the most famous sessions in the CIA’s declassified archives. The target was not a military installation or an enemy base, but Mars, specifically, Mars approximately one million years ago. The viewer was not told the target beforehand. Instead, they were given sealed instructions and a series of geographic coordinates on the Martian surface, with the monitor simply asking them to describe what they perceived. What followed has fascinated researchers ever since. The viewer immediately described enormous geometric structures rising from a barren landscape with huge pyramids, massive stone walls, deep canyons, and smooth, megalithic architecture unlike anything found on Earth today. As the session continued, the descriptions grew even stranger. The viewer reported seeing extraordinarily tall humanoid beings that were thin, ancient, and dressed in what they described as light, silk clothing. At first, they appeared almost like shadows, as though they were fading from existence. When instructed to focus more closely, the viewer said the towering structures were not monuments but shelters, offering protection from catastrophic storms sweeping across the planet. Inside were vast chambers that appeared almost empty like places designed just for waiting and survival. The beings themselves were described as a civilization in decline. According to the viewer, they knew their world was dying and were desperately searching for another place to live. Some had already departed, while others remained behind, waiting for those explorers to return. When asked what had devastated the planet, the viewer struggled to describe it, reporting an image of something passing through space. A globe interacting with what seemed like a comet’s tail or immense cosmic disturbance. The atmosphere, they said, was collapsing. Near the end of the session, the monitor instructed the viewer to ask one of the ancient beings who they were. The response was unexpected, the being did not recognize the viewer and instead seemed to perceive them only as a hallucination. When asked what happened to those who had left Mars, the viewer described the interior of a large metallic craft before following them to what appeared to be a world filled with volcanoes, strange plants, and a far more hospitable environment. The session ended there, with no conclusions offered and no claims verified. Today, the transcript survives because it was later declassified as part of the CIA’s archive. Its existence confirms that the remote viewing experiment took place, but it does not confirm that the perceptions accurately describe ancient Mars. Whether viewed as a psychological experiment, an intelligence curiosity, or one of the strangest documents ever released by the U.S. government, the Mars Exploration session remains one of the most debated records in the history of the remote viewing program.

Stoned🍄Ape

135,306 просмотров • 2 месяцев назад

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

I just built a Meta Ads diagnostic in Claude Code that tells you WHY your account broke, not just what changed 🤯 It spins up a team of agents that each investigate a different reason performance dropped, then argue against each other to kill the wrong answer before it ever reaches you. All inside Claude Code. Perfect for DTC brands and agencies who panic-kill creative the second CPA spikes. If you've watched ROAS fall off a cliff and opened Ads Manager with ten tabs going, you already know what happens next. Your gut says "creative fatigue." You kill your best-performing ad. A week later performance is still broken, because that was never the problem. Guessing wrong is the most expensive move in paid social. This workflow ends the guessing: → One agent investigates each competing theory — creative fatigue, budget and delivery changes, traffic quality, offer and seasonality → Each one is blind to the others, reasoning only from its own slice of the data so they can't bias each other → A refuter agent then attacks every surviving theory and tries to kill it → A theory only stands if the data can't disprove it → You get a ranked diagnosis: the real cause, the evidence for and against it, and the one move to make this week No anchoring on the first obvious answer. No killing winning creative on a hunch. No "here's what happened" reports that never tell you why. What you get: → Every theory tested in parallel instead of one biased guess → An adversarial pass that kills the wrong answer before you act on it → A ranked diagnosis with confidence levels and evidence both ways → A reusable workflow you drop next month's export into and re-run Built 100% in Claude Code with the new dynamic workflows. The first account I ran it on looked like textbook creative fatigue. The workflow disagreed, and traced the real cause to a budget change that had doubled spend and flooded delivery with junk traffic. I put together a full playbook with the exact workflow, the prompt, and how to run it on your own account. Want it for free? > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

12,820 просмотров • 2 месяцев назад

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

Mike Futia

50,154 просмотров • 5 месяцев назад

Holy shit... Keygraph just built an AI that hacks your web app before hackers do. It's called Shannon and it's a fully autonomous AI pentester that finds REAL exploits, not just alerts. 96.15% success rate on the hint-free XBOW Benchmark. Your team ships code every day with Claude Code and Cursor. Your pentest? Once a year. That's 364 days of shipping vulnerabilities to production. Shannon closes that gap. What it actually does: → Autonomously hunts attack vectors in your source code → Uses a built-in browser to execute real exploits → Handles 2FA/TOTP logins with zero intervention → Delivers copy-paste Proof-of-Concepts (no false positives) → Runs Nmap, Subfinder, WhatWeb, Schemathesis under the hood Real results on OWASP Juice Shop in a single run: → 20+ high-impact vulnerabilities found → Complete auth bypass + full database exfiltration → Privilege escalation to admin via registration bypass → SSRF enabling internal network recon → Systemic IDOR across user data The architecture is what makes it work. 4 phases: Recon → Vuln Analysis → Exploitation → Reporting Specialized agents run in parallel for Injection, XSS, SSRF, and Broken Auth. Strict "No Exploit, No Report" policy kills false positives at the source. Covers the critical OWASP classes: - Injection - XSS - SSRF - Broken Authentication & Authorization One command. ~1 hour runtime. ~$50 per full pentest with Claude Sonnet. Every Claude (coder) deserves their Shannon. The Red Team to your vibe-coding Blue Team. 100% Opensource (AGPL-3.0). 10.6k stars already. Repo in reply ↓

Holy shit... Keygraph just built an AI that hacks your web app before hackers do. It's called Shannon and it's a fully autonomous AI pentester that finds REAL exploits, not just alerts. 96.15% success rate on the hint-free XBOW Benchmark. Your team ships code every day with Claude Code and Cursor. Your pentest? Once a year. That's 364 days of shipping vulnerabilities to production. Shannon closes that gap. What it actually does: → Autonomously hunts attack vectors in your source code → Uses a built-in browser to execute real exploits → Handles 2FA/TOTP logins with zero intervention → Delivers copy-paste Proof-of-Concepts (no false positives) → Runs Nmap, Subfinder, WhatWeb, Schemathesis under the hood Real results on OWASP Juice Shop in a single run: → 20+ high-impact vulnerabilities found → Complete auth bypass + full database exfiltration → Privilege escalation to admin via registration bypass → SSRF enabling internal network recon → Systemic IDOR across user data The architecture is what makes it work. 4 phases: Recon → Vuln Analysis → Exploitation → Reporting Specialized agents run in parallel for Injection, XSS, SSRF, and Broken Auth. Strict "No Exploit, No Report" policy kills false positives at the source. Covers the critical OWASP classes: - Injection - XSS - SSRF - Broken Authentication & Authorization One command. ~1 hour runtime. ~$50 per full pentest with Claude Sonnet. Every Claude (coder) deserves their Shannon. The Red Team to your vibe-coding Blue Team. 100% Opensource (AGPL-3.0). 10.6k stars already. Repo in reply ↓

Guri Singh

20,591 просмотров • 4 месяцев назад