Sensitive content

This media may contain sensitive content.

Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

ทั้งใหญ่ทั้งยาววัยรุ่นสมัยนี้กล้าดี 🍌🍌 เอาบางส่วนมาให้ดูก่อนบอกเลยแตกชัวร์ ปล.คลิปยาวเกินชั่วโมงเลยยังตัดไม่เสร็จ Full video on every channel ดูคลิปเต็มได้เลยทุกช่องทาง OLF : Telegram : ติดปัญหาหรือสอบถามทางไลน #เรา3คน #ดื่มเบียร์ #ชอบโชว์

นักดื่มพ่นควันสีเทา

567,505 subscribers

434,815 просмотров • 13 дней назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.

7 ChatGPT prompts that made me $40K last month on YouTube. I didn’t film once. Here’s what I typed: Prompt 1: generate 10 viral video ideas in your niche, based on latest trends and what performs best. Prompt 2: write a full YouTube script with a hook, story arc, and call to action that maximizes watch time. Prompt 3: build me a faceless channel. Script it, voice it, edit it. Tell me every tool. Make it run without me. Prompt 4: generate a high-ranking title, description, and tags for my video. Clickworthy. SEO-optimized. Prompt 5: write a 15-second hook for my video that makes people physically unable to stop watching. Prompt 6: create a 30-day growth and monetization plan for a new channel from zero subscribers. Prompt 7: take my YouTube video and turn it into a blog post, a Reel, a TikTok, and a Twitter thread. 7 prompts. 1 laptop. 0 cameras. Most people are still filming themselves in bad lighting wondering why nobody watches. The channel doesn’t need your face. It needs your prompts.

RGK

50,024 просмотров • 3 месяцев назад

The same satellite tech can track a convoy through dense cloud cover at night, flag a sinkhole weeks before it opens, catch a village built on a collapsing slope, and even map the inside of a pyramid from orbit. It's called Synthetic Aperture Radar (SAR), and a lot of the data is free. In this video I cover the physics, the commercial arms race, and the defense constellation that will track every moving vehicle on Earth by the 2030s. 0:00 - A convoy no camera can see 0:56 - What is Synthetic Aperture Radar? 2:02 - InSAR: sub-millimeter change detection 3:07 - They scanned inside a pyramid from space 4:20 - These cities are sinking faster than sea levels rise 5:00 - North American bridges are the worst on Earth 6:09 - An AI caught a village built on a landslide 7:50 - The commercial SAR arms race 9:01 - GMTI: tracking convoys in the dark 11:26 - NISAR: the billion-dollar SAR satellite 12:45 - The other side of this all Full video on YT on Bilawal Sidhu channel. Enjoy.

The same satellite tech can track a convoy through dense cloud cover at night, flag a sinkhole weeks before it opens, catch a village built on a collapsing slope, and even map the inside of a pyramid from orbit. It's called Synthetic Aperture Radar (SAR), and a lot of the data is free. In this video I cover the physics, the commercial arms race, and the defense constellation that will track every moving vehicle on Earth by the 2030s. 0:00 - A convoy no camera can see 0:56 - What is Synthetic Aperture Radar? 2:02 - InSAR: sub-millimeter change detection 3:07 - They scanned inside a pyramid from space 4:20 - These cities are sinking faster than sea levels rise 5:00 - North American bridges are the worst on Earth 6:09 - An AI caught a village built on a landslide 7:50 - The commercial SAR arms race 9:01 - GMTI: tracking convoys in the dark 11:26 - NISAR: the billion-dollar SAR satellite 12:45 - The other side of this all Full video on YT on Bilawal Sidhu channel. Enjoy.

Bilawal Sidhu

47,273 просмотров • 4 месяцев назад

To every NEET candidate and parent - please watch this. A few minutes that could save you serious money and stress this week. Scammers on Telegram were running two rackets targeting you: 1️⃣ Channels demanding ₹14,000 to ₹25,000 - some even ₹10 lakh - claiming they'll send you the re-exam paper. They won't. There is no leaked paper for the re-exam. The money is gone the moment you transfer it. Your admit card and WhatsApp number, if you sent them, become the tools they use to scam the next student. 2️⃣ Fake "proof" videos showing chats from before the exam. The trick: on Telegram, whoever runs a channel can edit any old message AND change what's inside it, while the date on the message stays the same. So a message edited on the 4th can be made to look exactly like it was sent on the 1st. The full explanation is in the video below — please watch and share with anyone you know who's preparing 👇 🎥 The same trick will be tried again after 21st June. Don't fall for it. Don't forward it. Don't pay anyone. ✅ Focus on your prep - you've earned this ✅ Trust only and verified NTA handles ✅ Tell your friends - especially anyone anxious enough to be tempted 📞 Report any scam: National Cyber-Crime Helpline 1930 or Your hard work is what will get you through this exam. Not a Telegram channel. We're on your side. 💪 🎥 Prof. V. Kamakoti, Director, IIT Madras, also explains the technical side clearly - his videos are in the replies below.

To every NEET candidate and parent - please watch this. A few minutes that could save you serious money and stress this week. Scammers on Telegram were running two rackets targeting you: 1️⃣ Channels demanding ₹14,000 to ₹25,000 - some even ₹10 lakh - claiming they'll send you the re-exam paper. They won't. There is no leaked paper for the re-exam. The money is gone the moment you transfer it. Your admit card and WhatsApp number, if you sent them, become the tools they use to scam the next student. 2️⃣ Fake "proof" videos showing chats from before the exam. The trick: on Telegram, whoever runs a channel can edit any old message AND change what's inside it, while the date on the message stays the same. So a message edited on the 4th can be made to look exactly like it was sent on the 1st. The full explanation is in the video below — please watch and share with anyone you know who's preparing 👇 🎥 The same trick will be tried again after 21st June. Don't fall for it. Don't forward it. Don't pay anyone. ✅ Focus on your prep - you've earned this ✅ Trust only and verified NTA handles ✅ Tell your friends - especially anyone anxious enough to be tempted 📞 Report any scam: National Cyber-Crime Helpline 1930 or Your hard work is what will get you through this exam. Not a Telegram channel. We're on your side. 💪 🎥 Prof. V. Kamakoti, Director, IIT Madras, also explains the technical side clearly - his videos are in the replies below.

National Testing Agency

773,590 просмотров • 2 месяцев назад

TeamYouTube . My channel Just got hit with INAUTHENTIC CONTENT . YouTube's AI Wrongly flagged my channel as low effort and mass produced content. All of our scripts are Original. Every topic is distinct and well researched, covering distinct historical subjects with genuine educational depth. No two videos are the same and no template can produce what we make. These are 3 hour long documentaries. We use real archived historical footage that takes a long time to find and source and edit with the narration. We do not use AI images or video. This is not something you can template. This is not something you can mass produce. The render time alone makes that impossible. I did everything right. I made a detailed appeal video explaining the entire workflow of my channel. How we write the scripts, how we do the editing, how we record the voiceovers, everything in full detail. That video has zero views. It was auto rejected. No one at YouTube watched a single second of it. $5,500 from last month is on hold. $2,200 from this month is on hold. That is $7,700 sitting frozen because an automated system made a decision that no human being has actually verified. Real people are being affected by this. I am not asking for a free pass. I am just asking for one real human to look at this case once .

TeamYouTube . My channel Just got hit with INAUTHENTIC CONTENT . YouTube's AI Wrongly flagged my channel as low effort and mass produced content. All of our scripts are Original. Every topic is distinct and well researched, covering distinct historical subjects with genuine educational depth. No two videos are the same and no template can produce what we make. These are 3 hour long documentaries. We use real archived historical footage that takes a long time to find and source and edit with the narration. We do not use AI images or video. This is not something you can template. This is not something you can mass produce. The render time alone makes that impossible. I did everything right. I made a detailed appeal video explaining the entire workflow of my channel. How we write the scripts, how we do the editing, how we record the voiceovers, everything in full detail. That video has zero views. It was auto rejected. No one at YouTube watched a single second of it. $5,500 from last month is on hold. $2,200 from this month is on hold. That is $7,700 sitting frozen because an automated system made a decision that no human being has actually verified. Real people are being affected by this. I am not asking for a free pass. I am just asking for one real human to look at this case once .

Blain Fernandes

12,254 просмотров • 5 месяцев назад

WIN 10,000$ 🚀 Officially announcing the 1of10 Grant for one aspiring YouTuber wanting to go full-time! You might have your life changed forever! Here’s what you get: - 10,000$ USD CASH - For 3 months, strategy calls every 2 weeks with the 1of10 Strategy team (worked on 1B+ views) whose goal will be to help you blow up and optimize your channel by doing those 1-on-1 calls Watch the video below to see the rules more in-depth! How To Win: Step 1 In the next 48 hours, by May 24th 2024, 11:00am EST/5pm CET, you need to do the following: - Link your channel below in the replies - Retweet this post - Follow me (Richard the Youtube strategist) and 1 of 10 Youtube Strategy to make sure to receive DM if you are selected How do we choose the winner: Step 2 From all the participants that follow the instructions above, the 1of10 team will choose 10 aspiring YouTubers. How do we select the 10? We will go through recent uploads, efforts put into the channel, quality of video uploads, upload frequency, originality, production value, educational value, growth potential, overall commitment to YouTube, etc. Step 3 10 very experienced judges will vote each for their top 3 they believe have the most potential of growth, regardless of the niche. Step 4 The one with the most votes will win 10K$ USD + guidance from me and my team for the next 3 months. The other 9 will win one consulting call with the 1of10 Strategy team and lifetime access to the 1of10 platform (1500$ value). My favorite question to ask everyone is “What is your dream?”. Riad and I are hoping with this grant, we can actually fulfill someone’s dream and follow the mission of 1of10 to increase quality content on the platform!! Don’t forget to link your channel below and retweet! Tag someone who you think could be a good fit! Good luck and if this goes well, we will run it again!

WIN 10,000$ 🚀 Officially announcing the 1of10 Grant for one aspiring YouTuber wanting to go full-time! You might have your life changed forever! Here’s what you get: - 10,000$ USD CASH - For 3 months, strategy calls every 2 weeks with the 1of10 Strategy team (worked on 1B+ views) whose goal will be to help you blow up and optimize your channel by doing those 1-on-1 calls Watch the video below to see the rules more in-depth! How To Win: Step 1 In the next 48 hours, by May 24th 2024, 11:00am EST/5pm CET, you need to do the following: - Link your channel below in the replies - Retweet this post - Follow me (Richard the Youtube strategist) and 1 of 10 Youtube Strategy to make sure to receive DM if you are selected How do we choose the winner: Step 2 From all the participants that follow the instructions above, the 1of10 team will choose 10 aspiring YouTubers. How do we select the 10? We will go through recent uploads, efforts put into the channel, quality of video uploads, upload frequency, originality, production value, educational value, growth potential, overall commitment to YouTube, etc. Step 3 10 very experienced judges will vote each for their top 3 they believe have the most potential of growth, regardless of the niche. Step 4 The one with the most votes will win 10K$ USD + guidance from me and my team for the next 3 months. The other 9 will win one consulting call with the 1of10 Strategy team and lifetime access to the 1of10 platform (1500$ value). My favorite question to ask everyone is “What is your dream?”. Riad and I are hoping with this grant, we can actually fulfill someone’s dream and follow the mission of 1of10 to increase quality content on the platform!! Don’t forget to link your channel below and retweet! Tag someone who you think could be a good fit! Good luck and if this goes well, we will run it again!

Richard the Youtube strategist

132,974 просмотров • 2 лет назад

how to grow your vibe-coded saas with creators + youtube step 1: find small creators (10k–50k subs) already making videos in your niche. they have trust, but haven't quite figured out their worth just yet step 2: pay for a 3-video package + give them affiliate commissions. three videos builds credibility, affiliate links let you track ROI, and the content keeps working forever. step 3: run the math — email 100 creators → ~50 replies → ~10 underpriced deals → 2–3 will drive 80% of your growth. put those on retainers and repeat. on this episode shows you exactly how to write the emails to get higher response rate. this works because youtube isn’t a flash-in-the-pan channel. it’s search + distribution + social proof in one. done right, it makes your saas feel vibe-coded into the ecosystem... the product people just see everywhere. the fastest way to scale a vibe-coded saas right now is to hijack underpriced creator attention and turn youtube into your permanent growth engine. most people hide this alpha we don't on The Startup Ideas Podcast (SIP) 🧃 share this with a friend reply if it was helpful full episode in the replies (i read every comment on yt) and most importantly happy building. i am rooting for you.

how to grow your vibe-coded saas with creators + youtube step 1: find small creators (10k–50k subs) already making videos in your niche. they have trust, but haven't quite figured out their worth just yet step 2: pay for a 3-video package + give them affiliate commissions. three videos builds credibility, affiliate links let you track ROI, and the content keeps working forever. step 3: run the math — email 100 creators → ~50 replies → ~10 underpriced deals → 2–3 will drive 80% of your growth. put those on retainers and repeat. on this episode shows you exactly how to write the emails to get higher response rate. this works because youtube isn’t a flash-in-the-pan channel. it’s search + distribution + social proof in one. done right, it makes your saas feel vibe-coded into the ecosystem... the product people just see everywhere. the fastest way to scale a vibe-coded saas right now is to hijack underpriced creator attention and turn youtube into your permanent growth engine. most people hide this alpha we don't on The Startup Ideas Podcast (SIP) 🧃 share this with a friend reply if it was helpful full episode in the replies (i read every comment on yt) and most importantly happy building. i am rooting for you.

GREG ISENBERG

78,624 просмотров • 11 месяцев назад

Summers Method shot another banger. With Colby Shelton & Tommy White. Today’s video is all about simplifying your approach at the plate, especially with two strikes. Instead of focusing on the mechanics, let’s talk about an effective plan to be a tough out!! ✅ **Don’t Roll Over off-speed pitches** ✅ **Don’t pull the fastball** When you’re down to two strikes, these adjustments force you to stay disciplined. Here’s why this helps: 1. **Better Plate Coverage**: By not trying to pull every pitch, you cover more of the plate and can handle outside pitches more effectively. 2. **Don’t be Greedy**: Focusing on hitting the ball where it’s pitched keeps you calm and less likely to chase bad pitches. 3. **More Consistent Contact**: Avoiding rollovers and pull-happy swings leads to more solid contact, which increases your chances of putting the ball in play. Remember, with two strikes, the goal is to protect the plate and make solid contact. Adopting this mindset helps you battle through tough at-bats and become a tougher out. WANNA SEE THE FULL UNCUT SESSION—Watch the full 34 minute video SummersMethod YouTube channel. #Baseball #HittingTips #TwoStrikeApproach #StayBalanced #MakeContact #BaseballTraining #mentalapproach

Summers Method shot another banger. With Colby Shelton & Tommy White. Today’s video is all about simplifying your approach at the plate, especially with two strikes. Instead of focusing on the mechanics, let’s talk about an effective plan to be a tough out!! ✅ Don’t Roll Over off-speed pitches ✅ Don’t pull the fastball When you’re down to two strikes, these adjustments force you to stay disciplined. Here’s why this helps: 1. Better Plate Coverage: By not trying to pull every pitch, you cover more of the plate and can handle outside pitches more effectively. 2. Don’t be Greedy: Focusing on hitting the ball where it’s pitched keeps you calm and less likely to chase bad pitches. 3. More Consistent Contact: Avoiding rollovers and pull-happy swings leads to more solid contact, which increases your chances of putting the ball in play. Remember, with two strikes, the goal is to protect the plate and make solid contact. Adopting this mindset helps you battle through tough at-bats and become a tougher out. WANNA SEE THE FULL UNCUT SESSION—Watch the full 34 minute video SummersMethod YouTube channel. #Baseball #HittingTips #TwoStrikeApproach #StayBalanced #MakeContact #BaseballTraining #mentalapproach

Stance Doctor

20,219 просмотров • 2 лет назад

My OpenClaw just generated a fully animated AI video with a single Telegram message 🤯 This is V2. And it's a completely different beast. V1 went viral — type a topic, get a fun animated video back. Educational content, silly food characters, entertainment stuff. V2 turns it into an actual ad production system. Two upgrades that change everything: → Upload your own brand mascot or product character → The agent locks that image across every scene via Nano Banana Pro → It writes real direct response scripts — hook, pain points, proof, CTA → Output is built to run as a Facebook ad or native TikTok → Still one message. Still fully automated. No generic educational fluff. No random AI tomato characters. No manual prompting between tools. What you get back: - A 32-second animated video starring YOUR brand character - DR ad script with a real hook, agitation, and CTA - Consistent character across all 4 scenes - Ready to drop into Meta or TikTok as-is Perfect for DTC brands and agencies producing volume creative without a production team. The agent writes the script, generates every frame on-brand, animates with Veo 3, adds voiceover natively, and delivers the final cut to Telegram. I put the V2 skill + full setup guide into a Google Drive folder. Want access for free? > Like this post > Comment "CLAW" And I'll send it over (must be following so I can DM)

Mike Futia

55,687 просмотров • 6 месяцев назад

If you ask me who the most powerful woman leader in Kerala is in terms of popularity and influence, I would say she is none other than Shobha Surendran 🔥✌️. The support she receives at the ground level is absolutely fantastic. ▶️In Palakkad (2014), her votes grew from 60k to 1.5 lakh ▶️in Attingal (2019), from 90k to 2.5 lakh ▶️and in Alappuzha (2024), from 1.8 lakh to 3 lakh. I would call her the ultimate "vote booster" 🔥leader for the Kerala BJP. She manages to double her vote share nearly every time she contests an election. My only wish for the Kerala BJP is that they give her a permanent constituency to work in from now on.🙏 I am certain she will be the next MLA in Kerala. The way she speaks, her vision, and the way she works beyond politics show that Alappuzha truly needs her. Please watch the full video on Sujith Bhakthan’s YouTube channel:

If you ask me who the most powerful woman leader in Kerala is in terms of popularity and influence, I would say she is none other than Shobha Surendran 🔥✌️. The support she receives at the ground level is absolutely fantastic. ▶️In Palakkad (2014), her votes grew from 60k to 1.5 lakh ▶️in Attingal (2019), from 90k to 2.5 lakh ▶️and in Alappuzha (2024), from 1.8 lakh to 3 lakh. I would call her the ultimate "vote booster" 🔥leader for the Kerala BJP. She manages to double her vote share nearly every time she contests an election. My only wish for the Kerala BJP is that they give her a permanent constituency to work in from now on.🙏 I am certain she will be the next MLA in Kerala. The way she speaks, her vision, and the way she works beyond politics show that Alappuzha truly needs her. Please watch the full video on Sujith Bhakthan’s YouTube channel:

Junjun

17,049 просмотров • 8 месяцев назад

Can your agent finally edit your videos? Yup, it's a repo called video use, by Browser Use. You put the raw footage in a folder. Then Claude Code or Codex edits it. It removes the filler words, cuts the dead space, adds the subtitles, and renders the file. Then it checks its own cut points. Most creators use the same small set of edits in every video. That style stays in your head and in your hands. This repo puts it in a file that an agent can read. People ask for a full YouTube channel on day one. They see bad results, and they stop. Start with one format instead. - One founder loom into a 60 second launch video - 3 clips out of one podcast recording Then make the format a system. Then you operate the system, or you sell it. - Real estate agents need listing videos - Coaches need clips - Agencies need ad variations Manual installation with git clone is possible. For 95% of people, the agent is faster. Here's how i intalled it: - Gave the setup prompt to Claude Code with shell access - Let it read install.md - Installed the repo - Connected FFmpeg - Registered the skill

Can your agent finally edit your videos? Yup, it's a repo called video use, by Browser Use. You put the raw footage in a folder. Then Claude Code or Codex edits it. It removes the filler words, cuts the dead space, adds the subtitles, and renders the file. Then it checks its own cut points. Most creators use the same small set of edits in every video. That style stays in your head and in your hands. This repo puts it in a file that an agent can read. People ask for a full YouTube channel on day one. They see bad results, and they stop. Start with one format instead. - One founder loom into a 60 second launch video - 3 clips out of one podcast recording Then make the format a system. Then you operate the system, or you sell it. - Real estate agents need listing videos - Coaches need clips - Agencies need ad variations Manual installation with git clone is possible. For 95% of people, the agent is faster. Here's how i intalled it: - Gave the setup prompt to Claude Code with shell access - Let it read install.md - Installed the repo - Connected FFmpeg - Registered the skill

The Startup Ideas Podcast (SIP) 🧃

15,292 просмотров • 4 дней назад

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged imran to come on The Startup Ideas Podcast (SIP) 🧃 and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch

GREG ISENBERG

623,612 просмотров • 4 месяцев назад

HERMES AGENT HAS 5 SYSTEMS RUNNING UNDER THE HOOD. UNDERSTAND THEM AND YOU USE THE AGENT 10X BETTER. In this video Alejandro AO 🤗 explained: 1. THE AGENT LOOP every message triggers the same cycle: → you send a message → Hermes builds context (SOUL.md + memory.md + user.md + skills + tools + message history) → sends everything to the LLM → LLM decides: call a tool or respond → if tool call: execute, return result, loop back → if response: deliver to you → after response: memory update (agent checks if anything is worth remembering, writes to memory.md or user.md) this loop is why Hermes gets better over time. the memory update after every response means the agent learns from every conversation. 2. CONTEXT ASSEMBLY what the LLM sees on every turn: → SOUL.md (your agent's personality and rules) → memory.md (facts the agent learned over time) → user.md (facts about you, auto-updated) → AGENTS.md and .hermes.md (project context files) → skill descriptions (loaded on demand) → tool schemas (available actions) → message history (current conversation) if SOUL.md is empty, Hermes falls back to a default system prompt. write your own SOUL.md and the agent becomes yours, not generic. CONTEXT COMPRESSION: conversations hit context limits. Hermes handles this at two checkpoints: preflight: before each turn. if conversation exceeds 50% of context window, compression fires. older messages get summarized. last 20 messages stay intact (protect_last_n). gateway auto-compression: between turns. fires at 85%. more aggressive. prevents API errors before the agent even starts processing your message. after compression, a new session lineage ID is generated. the agent can trace back to the original conversation through SQLite. three things break prompt cache: switching models mid-session, changing memory files, or changing context files. 3. THE GATEWAY the system that keeps Hermes reachable on 27+ messaging platforms. an async loop runs continuously. listens for incoming messages from Telegram, Discord, Slack, WhatsApp, email, SMS, and every other adapter. when a message arrives: → gateway identifies which session it belongs to → queries SQLite for the full message history (session ID = platform prefix + chat ID) → builds the context from scratch → sends everything into the agent loop → delivers the response back to the platform the gateway also runs the session manager. when you send a message while the agent is busy: → default: queued for next turn → /steer: injected without interrupting → /interrupt: stops current work without the gateway, Hermes is a CLI tool. with the gateway, Hermes is an always-on agent you reach from your phone. 4. MEMORY (THREE LAYERS) LAYER 1 — MARKDOWN FILES SOUL.md (identity), memory.md (learned facts), user.md (facts about you). injected into context after the system prompt. updated by the agent after every response. LAYER 2 — SQLITE full transcripts of every session stored locally. FTS5 full-text search across all past conversations. session lineage tracking across compressions. the agent can recall what you discussed weeks ago using /recall or session search. LAYER 3 — EXTERNAL PROVIDERS (optional) 8 supported providers: Mem0, SuperMemory, Honcho, Zep, and more. each works differently (semantic search, LLM extraction, similarity matching). queried after the first message in each session. the agent processes your topic first, then checks external memory for related context from past conversations. not enabled by default. enable for significantly better long-term recall. 5. CRON ENGINE a loop inside the gateway ticks every 60 seconds. each tick checks ~/.hermes/cron/jobs.json for scheduled tasks. if a job is due: → fresh session (no chat history, no memory pollution) → execute the prompt with assigned tools → store the run output as markdown in ~/.hermes/cron/output/[job-id]/ → deliver result to your home messaging platform cron does NOT use the send_message tool. delivery happens at the system level, not the agent level. a cron session cannot create more cron jobs. prevents runaway loops. WHY THIS MATTERS: the agent loop teaches it. the context assembly focuses it. the gateway reaches it. the memory remembers it. the cron engine automates it. five systems. one agent. understanding how they connect changes how you configure every level. full 15 levels breakdown in the article 👇

HERMES AGENT HAS 5 SYSTEMS RUNNING UNDER THE HOOD. UNDERSTAND THEM AND YOU USE THE AGENT 10X BETTER. In this video Alejandro AO 🤗 explained: 1. THE AGENT LOOP every message triggers the same cycle: → you send a message → Hermes builds context (SOUL.md + memory.md + user.md + skills + tools + message history) → sends everything to the LLM → LLM decides: call a tool or respond → if tool call: execute, return result, loop back → if response: deliver to you → after response: memory update (agent checks if anything is worth remembering, writes to memory.md or user.md) this loop is why Hermes gets better over time. the memory update after every response means the agent learns from every conversation. 2. CONTEXT ASSEMBLY what the LLM sees on every turn: → SOUL.md (your agent's personality and rules) → memory.md (facts the agent learned over time) → user.md (facts about you, auto-updated) → AGENTS.md and .hermes.md (project context files) → skill descriptions (loaded on demand) → tool schemas (available actions) → message history (current conversation) if SOUL.md is empty, Hermes falls back to a default system prompt. write your own SOUL.md and the agent becomes yours, not generic. CONTEXT COMPRESSION: conversations hit context limits. Hermes handles this at two checkpoints: preflight: before each turn. if conversation exceeds 50% of context window, compression fires. older messages get summarized. last 20 messages stay intact (protect_last_n). gateway auto-compression: between turns. fires at 85%. more aggressive. prevents API errors before the agent even starts processing your message. after compression, a new session lineage ID is generated. the agent can trace back to the original conversation through SQLite. three things break prompt cache: switching models mid-session, changing memory files, or changing context files. 3. THE GATEWAY the system that keeps Hermes reachable on 27+ messaging platforms. an async loop runs continuously. listens for incoming messages from Telegram, Discord, Slack, WhatsApp, email, SMS, and every other adapter. when a message arrives: → gateway identifies which session it belongs to → queries SQLite for the full message history (session ID = platform prefix + chat ID) → builds the context from scratch → sends everything into the agent loop → delivers the response back to the platform the gateway also runs the session manager. when you send a message while the agent is busy: → default: queued for next turn → /steer: injected without interrupting → /interrupt: stops current work without the gateway, Hermes is a CLI tool. with the gateway, Hermes is an always-on agent you reach from your phone. 4. MEMORY (THREE LAYERS) LAYER 1 — MARKDOWN FILES SOUL.md (identity), memory.md (learned facts), user.md (facts about you). injected into context after the system prompt. updated by the agent after every response. LAYER 2 — SQLITE full transcripts of every session stored locally. FTS5 full-text search across all past conversations. session lineage tracking across compressions. the agent can recall what you discussed weeks ago using /recall or session search. LAYER 3 — EXTERNAL PROVIDERS (optional) 8 supported providers: Mem0, SuperMemory, Honcho, Zep, and more. each works differently (semantic search, LLM extraction, similarity matching). queried after the first message in each session. the agent processes your topic first, then checks external memory for related context from past conversations. not enabled by default. enable for significantly better long-term recall. 5. CRON ENGINE a loop inside the gateway ticks every 60 seconds. each tick checks ~/.hermes/cron/jobs.json for scheduled tasks. if a job is due: → fresh session (no chat history, no memory pollution) → execute the prompt with assigned tools → store the run output as markdown in ~/.hermes/cron/output/[job-id]/ → deliver result to your home messaging platform cron does NOT use the send_message tool. delivery happens at the system level, not the agent level. a cron session cannot create more cron jobs. prevents runaway loops. WHY THIS MATTERS: the agent loop teaches it. the context assembly focuses it. the gateway reaches it. the memory remembers it. the cron engine automates it. five systems. one agent. understanding how they connect changes how you configure every level. full 15 levels breakdown in the article 👇

YanXbt

51,932 просмотров • 2 месяцев назад

HOW RETAIL INVESTORS CAUSED THE WORLD’S BEST-PERFORMING HEDGE FUND TO CRASH 50% IN JUST TWO WEEKS! $OPEN $OKLO $BTQ $GME $IONQ $RGTI $PLTR $BBAI $QUBT $ACHR $JOBY Michael Barton - a trader from Coatue, arguably the top-performing hedge fund today with $70B under management - was recently interviewed on Molly O’Shea ’s YouTube channel. The insights were wild: - “Before I worked at Coatue, I worked at Melvin Capital.” Yes, the hedge fund that shorted $GME. - “We went from the best-performing hedge fund in the world… to down 50% in two weeks.” Retail traders forced one of the most sophisticated funds on the planet into a historic drawdown! - “We underestimated how powerful Retail could be. When they focus all their energy on a single stock. You’re seeing the same thing now with Opendoor.” - “Investing has changed - we track everything, how often stocks are mentioned on Reddit, Twitter, internet trends… all of it.” What this really means: 1. Retail is now a legitimate force in the markets. When retail traders concentrate on specific sectors or tickers - like Quantum or Nuclear plays right now -hedge funds ride the wave up… and then short it on the way down. 2. You’re being tracked. Every major retail community - unusual_whales , zerohedge , WallStreetBets, all the trending Reddit stock groups - hedge funds scrape and analyze all of your posts. They front-run Retail sentiment and monetize it. 3. Don’t be left holding the bag. A lot of “timely” news articles that come out during hype cycles? Often funded or influenced by the same players who need exit liquidity after riding the move up with Retail. Retail piles in at the top, hedge funds exit - then short - and Retail capitulates while moving on to the next hype wave. 4. Know what you’re buying. Is it a real business with long-term fundamentals? Or just a momentum-driven hype play that hedge funds are exploiting? Don’t be the one left holding the bag. Full video linked in the comments.

HOW RETAIL INVESTORS CAUSED THE WORLD’S BEST-PERFORMING HEDGE FUND TO CRASH 50% IN JUST TWO WEEKS! $OPEN $OKLO $BTQ $GME $IONQ $RGTI $PLTR $BBAI $QUBT $ACHR $JOBY Michael Barton - a trader from Coatue, arguably the top-performing hedge fund today with $70B under management - was recently interviewed on Molly O’Shea ’s YouTube channel. The insights were wild: - “Before I worked at Coatue, I worked at Melvin Capital.” Yes, the hedge fund that shorted $GME. - “We went from the best-performing hedge fund in the world… to down 50% in two weeks.” Retail traders forced one of the most sophisticated funds on the planet into a historic drawdown! - “We underestimated how powerful Retail could be. When they focus all their energy on a single stock. You’re seeing the same thing now with Opendoor.” - “Investing has changed - we track everything, how often stocks are mentioned on Reddit, Twitter, internet trends… all of it.” What this really means: 1. Retail is now a legitimate force in the markets. When retail traders concentrate on specific sectors or tickers - like Quantum or Nuclear plays right now -hedge funds ride the wave up… and then short it on the way down. 2. You’re being tracked. Every major retail community - unusual_whales , zerohedge , WallStreetBets, all the trending Reddit stock groups - hedge funds scrape and analyze all of your posts. They front-run Retail sentiment and monetize it. 3. Don’t be left holding the bag. A lot of “timely” news articles that come out during hype cycles? Often funded or influenced by the same players who need exit liquidity after riding the move up with Retail. Retail piles in at the top, hedge funds exit - then short - and Retail capitulates while moving on to the next hype wave. 4. Know what you’re buying. Is it a real business with long-term fundamentals? Or just a momentum-driven hype play that hedge funds are exploiting? Don’t be the one left holding the bag. Full video linked in the comments.

Common Sense Investor (CSI)

140,629 просмотров • 9 месяцев назад

Finally video emerges of an actual Ukrainian attack in Toretsk, two weeks after their supposed ninja counteroffensive kicked off... or is it?⬇️ I'm referring to this video, which was published Wednesday, showing the destruction of two AFU M113s withdrawing troops from a southern suburb of Toretsk (Zabalka) that basically all mappers had placed well inside Russian lines (video 1, see figure 3 for the map). Video emerged later that day of Russian infantry destroying an apparently Ukrainian-held house in the same area with a satchel charge after suppressing the defenders with an RPG and small arms (the first segment of video 2). Interesting, I thought. So I looked at the map again, harder. And then I looked at the geolocated positions of Russian units, which the TG channel Creamy Caprice keeps a map of (figure 3, showing the location of the first video - the red and blue dots mark Russian and Ukrainian positions logged over the entire course of the battle). And that's when it struck me - Russian troops have never been spotted in the northwestern corner of the Zabalka district. They've been seen in the central part and they've been seen around the slag heaps, but not the northwest corner. And there's a relatively short route into it through the Ukrainian-held forest to the northwest, although the last mile is through an open field around the base of (and dominated by) the nearby slag heap. It would be an extremely dangerous journey. Now we come to what the video actually depicts - the withdrawal of troops. The first APC is hit while withdrawing and the escaping dismounts are effectively engaged after going to ground in the forest. The second APC then arrives in Zabalka, loads up, and is heavily hit and knocked out as it withdraws. A couple soldiers are seen heading deeper into the city on foot as it departs, but not a full squad - there may not have been room for them on the transport, or they may have (correctly) thought their chances were better on foot. Then the subsequent video emerged of Russian infantry clearing holdouts in the area, which could have very well been those men. So what happened here? Well, I pointed out earlier that it's standard practice to back-clear an urban area after taking it, to clear bypassed enemy strongholds and booby-traps and render the area safe to support further operations. I suspect there was actually a pocket of bypassed Ukrainian troops holed up in the western Zabalka District, a couple kilometers behind Russian lines, whom the AFU command tried to evacuate via APC earlier this week while they still had the chance to do so. And the Russians may very well have allowed those APCs to pull in and load up so they could - as they did - very coldly kill them while they were packed with infantry to withdraw. Why did the Ukrainian command undertake such a high-risk operation instead of simply writing these men off and telling them that it was every man for himself? Probably because these were Azov fighters and thus entitled to special treatment and consideration - one of their brigades operates in the area. In any event, far from suggesting a Ukrainian counterattack into south Toretsk, this turn of events suggests to me that the Russians are instead mopping up remaining resistance in the city. (As an addendum, the people behind Creamy Caprice think that the third segment of video 2 shows Ukrainian activity somewhat farther into the northwest corner of the Zabalka Dictrict, but that segment also doesn't show live troops - for all we know they were bombing an AFU comms repeater or something on the roof of that building. The second segment of that video is old judging by the snow on the ground.)

Finally video emerges of an actual Ukrainian attack in Toretsk, two weeks after their supposed ninja counteroffensive kicked off... or is it?⬇️ I'm referring to this video, which was published Wednesday, showing the destruction of two AFU M113s withdrawing troops from a southern suburb of Toretsk (Zabalka) that basically all mappers had placed well inside Russian lines (video 1, see figure 3 for the map). Video emerged later that day of Russian infantry destroying an apparently Ukrainian-held house in the same area with a satchel charge after suppressing the defenders with an RPG and small arms (the first segment of video 2). Interesting, I thought. So I looked at the map again, harder. And then I looked at the geolocated positions of Russian units, which the TG channel Creamy Caprice keeps a map of (figure 3, showing the location of the first video - the red and blue dots mark Russian and Ukrainian positions logged over the entire course of the battle). And that's when it struck me - Russian troops have never been spotted in the northwestern corner of the Zabalka district. They've been seen in the central part and they've been seen around the slag heaps, but not the northwest corner. And there's a relatively short route into it through the Ukrainian-held forest to the northwest, although the last mile is through an open field around the base of (and dominated by) the nearby slag heap. It would be an extremely dangerous journey. Now we come to what the video actually depicts - the withdrawal of troops. The first APC is hit while withdrawing and the escaping dismounts are effectively engaged after going to ground in the forest. The second APC then arrives in Zabalka, loads up, and is heavily hit and knocked out as it withdraws. A couple soldiers are seen heading deeper into the city on foot as it departs, but not a full squad - there may not have been room for them on the transport, or they may have (correctly) thought their chances were better on foot. Then the subsequent video emerged of Russian infantry clearing holdouts in the area, which could have very well been those men. So what happened here? Well, I pointed out earlier that it's standard practice to back-clear an urban area after taking it, to clear bypassed enemy strongholds and booby-traps and render the area safe to support further operations. I suspect there was actually a pocket of bypassed Ukrainian troops holed up in the western Zabalka District, a couple kilometers behind Russian lines, whom the AFU command tried to evacuate via APC earlier this week while they still had the chance to do so. And the Russians may very well have allowed those APCs to pull in and load up so they could - as they did - very coldly kill them while they were packed with infantry to withdraw. Why did the Ukrainian command undertake such a high-risk operation instead of simply writing these men off and telling them that it was every man for himself? Probably because these were Azov fighters and thus entitled to special treatment and consideration - one of their brigades operates in the area. In any event, far from suggesting a Ukrainian counterattack into south Toretsk, this turn of events suggests to me that the Russians are instead mopping up remaining resistance in the city. (As an addendum, the people behind Creamy Caprice think that the third segment of video 2 shows Ukrainian activity somewhat farther into the northwest corner of the Zabalka Dictrict, but that segment also doesn't show live troops - for all we know they were bombing an AFU comms repeater or something on the roof of that building. The second segment of that video is old judging by the snow on the ground.)

Armchair Warlord

15,294 просмотров • 1 год назад

You asked for Puerto Vallarta... so here it is. ❤️🇲🇽 You already know what happened to the YouTube channel, but one thing it didn't take away was these trips. Instead of one long travel guide, I'm breaking Puerto Vallarta, and all the Season 3 videos, into short episodes here on Instagram. That way we can dive deeper into every topic and, by the end of this series, you'll know exactly how to plan your own trip. The full video will be available on my Patreon. And trust me... Puerto Vallarta deserves it. Let's be honest... nobody flies all the way to Puerto Vallarta just for the beach. 😂 You come for the energy, the beach clubs, the parties, and the men. You come for walking through the Romantic Zone and feeling like the entire neighbourhood is filled with gay men. You come for meeting people who are keen to grab a drink, dance until sunrise, or take the conversation somewhere a little more private. Puerto Vallarta has a way of turning complete strangers into unforgettable memories, and that's why people keep coming back. I also have to give a huge shoutout to Tryst Puerto Vallarta for making this trip even more unforgettable. Almost everyone staying there was gay, mostly men, and that completely changes your holiday. Not even to mention how beautiful the hotel and its location were. It had one of the most amazing sunsets I've ever seen in my life, right from my room or from the rooftop pool. To every single member of the Tryst team, thank you for making me feel so welcome. I don't recommend it 100%. I recommend it 100000%. ❤️ This Puerto Vallarta series is powered by Sniffies, the best gay app for gay travellers and cruisers like us. Click on the link below and grab one week of Sniffies Pro for free so you can start exploring Puerto Vallarta before you even land. 📍If Puerto Vallarta is on your bucket list, save this reel because this is just the beginning. Tomorrow I'm showing you how to get to Puerto Vallarta and, more importantly, where to stay. #PuertoVallarta #GayPuertoVallarta #GayTravel #GayTraveller

You asked for Puerto Vallarta... so here it is. ❤️🇲🇽 You already know what happened to the YouTube channel, but one thing it didn't take away was these trips. Instead of one long travel guide, I'm breaking Puerto Vallarta, and all the Season 3 videos, into short episodes here on Instagram. That way we can dive deeper into every topic and, by the end of this series, you'll know exactly how to plan your own trip. The full video will be available on my Patreon. And trust me... Puerto Vallarta deserves it. Let's be honest... nobody flies all the way to Puerto Vallarta just for the beach. 😂 You come for the energy, the beach clubs, the parties, and the men. You come for walking through the Romantic Zone and feeling like the entire neighbourhood is filled with gay men. You come for meeting people who are keen to grab a drink, dance until sunrise, or take the conversation somewhere a little more private. Puerto Vallarta has a way of turning complete strangers into unforgettable memories, and that's why people keep coming back. I also have to give a huge shoutout to Tryst Puerto Vallarta for making this trip even more unforgettable. Almost everyone staying there was gay, mostly men, and that completely changes your holiday. Not even to mention how beautiful the hotel and its location were. It had one of the most amazing sunsets I've ever seen in my life, right from my room or from the rooftop pool. To every single member of the Tryst team, thank you for making me feel so welcome. I don't recommend it 100%. I recommend it 100000%. ❤️ This Puerto Vallarta series is powered by Sniffies, the best gay app for gay travellers and cruisers like us. Click on the link below and grab one week of Sniffies Pro for free so you can start exploring Puerto Vallarta before you even land. 📍If Puerto Vallarta is on your bucket list, save this reel because this is just the beginning. Tomorrow I'm showing you how to get to Puerto Vallarta and, more importantly, where to stay. #PuertoVallarta #GayPuertoVallarta #GayTravel #GayTraveller

Your Gay Guyde

13,792 просмотров • 1 месяц назад

the 14-year-old brother of Zach Yadegari hit $14k/mo on his own app. tested every channel himself until one worked. he's in 9th grade lol 👇 full interview with Evan Yadegari 0:00 - Introduction: The 14-Year-Old Founder Making $14K/Month 2:20 - The Yadegari Backstory: From Roblox Games to Gaming Sites (Totally Science) 3:53 - The Genesis of Locked: Turning Gen Z Self-Improvement Into a Video Game 5:14 - Vibe Coding Prototypes: Building in Figma & Scripting via Claude 6:07 - Why Influencer Marketing Crushed Paid Ads, Reddit, and X 7:22 - The "Day in the Life" Format Fit: Reaching Gen Z Audiences Automatically 8:06 - Video Deconstruction: A $3,000 Single-Post Case Study 9:08 - Breaking Down App Economics: Conversion Rates & Ad RPM Metrics 9:47 - Vanity vs. Reality: Identifying Engaged Audiences via Content Comments 11:20 - Outreaching at Scale: Managing Manual DMs, Account Limits, and Verification 12:55 - The Hooked DM Template: Forcing Creators From DMs to Negotiation Calls 13:37 - 4 Influencer Deal Structures (Standard, CPM, Minimum View Clause, Bonus) 14:46 - AI Growth Hack: Sourcing High-Leverage Outlier Formats with Spy Talk 15:50 - Constructing Minimum View Clauses & Campaign Creative Freedom 17:44 - Attribution Strategy: Monitoring App Store Download Spikes 18:23 - The Risk Mindset: Lessons Learned From Chasing Empty Vanity Metrics 20:04 - Evolving Creative Channels: Unblocked Gaming to Productivity Software 21:28 - What’s Next: Scaling 10X (The Shopify for Apps Engine) 22:38 - High School Entrepreneurship & Normanizing Gen Z Side Hustles 24:27 - 2026 Consumer App Trend Predictions: AI Model Arbitrage & Viral Party Formats 25:57 - The Speedrun Playbook: How to Launch to $10K/Month From Scratch

the 14-year-old brother of Zach Yadegari hit $14k/mo on his own app. tested every channel himself until one worked. he's in 9th grade lol 👇 full interview with Evan Yadegari 0:00 - Introduction: The 14-Year-Old Founder Making $14K/Month 2:20 - The Yadegari Backstory: From Roblox Games to Gaming Sites (Totally Science) 3:53 - The Genesis of Locked: Turning Gen Z Self-Improvement Into a Video Game 5:14 - Vibe Coding Prototypes: Building in Figma & Scripting via Claude 6:07 - Why Influencer Marketing Crushed Paid Ads, Reddit, and X 7:22 - The "Day in the Life" Format Fit: Reaching Gen Z Audiences Automatically 8:06 - Video Deconstruction: A $3,000 Single-Post Case Study 9:08 - Breaking Down App Economics: Conversion Rates & Ad RPM Metrics 9:47 - Vanity vs. Reality: Identifying Engaged Audiences via Content Comments 11:20 - Outreaching at Scale: Managing Manual DMs, Account Limits, and Verification 12:55 - The Hooked DM Template: Forcing Creators From DMs to Negotiation Calls 13:37 - 4 Influencer Deal Structures (Standard, CPM, Minimum View Clause, Bonus) 14:46 - AI Growth Hack: Sourcing High-Leverage Outlier Formats with Spy Talk 15:50 - Constructing Minimum View Clauses & Campaign Creative Freedom 17:44 - Attribution Strategy: Monitoring App Store Download Spikes 18:23 - The Risk Mindset: Lessons Learned From Chasing Empty Vanity Metrics 20:04 - Evolving Creative Channels: Unblocked Gaming to Productivity Software 21:28 - What’s Next: Scaling 10X (The Shopify for Apps Engine) 22:38 - High School Entrepreneurship & Normanizing Gen Z Side Hustles 24:27 - 2026 Consumer App Trend Predictions: AI Model Arbitrage & Viral Party Formats 25:57 - The Speedrun Playbook: How to Launch to $10K/Month From Scratch

Joseph Choi

13,068 просмотров • 2 месяцев назад

Made $313 → $2,382,780 in 4 Days Using a Claude AI Bot on Polymarket. 26,738 trades. 98% win rate. Full blockchain proof. Every single trade verifiable on-chain. I've made the exact step-by-step guide to build this Claude Polymarket bot from scratch. You've been trading for 3 years. Still red. He gave Claude $313. Woke up rich. Free for 24 hours. To get this Setup guide: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) Full 2-hour video tutorial attached. Every single click and command explained. Beginner to running bot. Now let me break down exactly how this works. Save this post. This is the most important trading breakdown you'll ever read. ↓ Let's start with the number that should make you sick. $313. That's what this wallet started with. Not $50,000. Not $10,000. Not even $1,000. $313. Less than your monthly Netflix + Uber Eats + Spotify combined. 4 months later: $2,382,780.80. That's a 7,942x return. While you spent those same 4 months staring at charts, drawing trendlines, panic selling, revenge trading, and ending the month exactly where you started. Minus the $200 you lost on that "sure thing." Same 4 months. Same market. Same opportunities. He had a bot. You had feelings. Guess who won. Save this post right now. What I'm about to explain is the exact mechanism behind every dollar of that $2.38M. Follow Himanshu Kumar so you don't miss the rest. ↓ How Polymarket actually works and why bots print money on it. Polymarket is a prediction market. Will BTC be higher in 15 minutes? Yes or No. Will the Fed raise rates? Yes or No. You buy shares between $0 and $1. If you're right, your share settles at $1. If you're wrong, it settles at $0. Simple. Now here's where it gets interesting. Polymarket updates its prices SLOWER than the real market moves. When BTC drops 0.6% on Binance, Polymarket still shows old odds for about 2.7 seconds. 2.7 seconds. In those 2.7 seconds, the bot already knows the outcome. It's not predicting. It's not guessing. It's reading information that already exists and trading before Polymarket catches up. That's not trading. That's collecting free money with a 2.7 second head start. And you're over there using a 15-indicator TradingView setup trying to "predict" where BTC goes next. The bot doesn't predict anything. It just reads faster than you. That's the entire edge. Save this post because if you understand this one concept you understand how millionaires are being made on Polymarket right now. Follow Himanshu Kumar for more breakdowns like this. ↓ Let me walk you through one single trade. A new 15-minute BTC contract opens on Polymarket. Odds are 50/50. Fair price. 10 minutes in, BTC drops 0.6% on Binance. Hard, fast move. The real probability of BTC being lower at expiry is now about 78%. Polymarket still shows 54/46. The bot sees this instantly. Binance WebSocket feed. Under 50ms latency. The edge is 24 percentage points. On a binary contract, that's basically free money. Bot calculates position size using Kelly Criterion. Executes via Polymarket's API. Done. Within 2-3 seconds, other participants update the odds. 54/46 moves toward 78/22. Bot either exits for immediate profit or holds to resolution. Either way, the trade was entered with near-certainty of a positive outcome. Now repeat this 200-500 times per day. $313 → $2,382,780 in 4 months. Not magic. Not prediction. Not luck. Industrial-scale exploitation of a market inefficiency that still exists today. And you're still placing one manual trade per day and calling yourself a "trader." This is the mechanism behind every single dollar. Bookmark this post so you can study it again. Follow Himanshu Kumar because I'm breaking down each strategy separately. ↓ There are 4 strategies. Not all Claude bots do the same thing. Strategy 1: Latency Arbitrage. Win rate: 85-98%. What 0x8dxd used. Monitor Binance price feeds. When Polymarket odds lag behind reality by 3-5%, buy the correct side before the market corrects. No forecasting. No model. No sentiment analysis. Pure speed. You're not guessing. You're reading an outcome that has already happened. Strategy 2: Oracle Arbitrage. Win rate: 78-85%. Chainlink oracle price feeds occasionally diverge from Polymarket's implied prices. When they do, the settlement direction is known. Fewer opportunities. Higher certainty when they appear. Strategy 3: News-Driven Trading. Win rate: 60-75%. Claude ingests real-time news. Government filings. Central bank statements. On-chain data. Assesses probability impact before retail traders even finish reading the headline. Lower win rate because interpretation introduces uncertainty. But works on ANY market category, not just crypto. Strategy 4: Market Making. Return: 2-5% per month. Place buy and sell orders on both sides. Capture the spread. No prediction required. Most consistent. Hardest to blow up. Compounds aggressively over time. You didn't even know there were 4 strategies. You thought "trading bot" meant one thing. That's how far behind you are. 4 strategies. 4 different risk profiles. 4 ways to make money while you sleep. Save this post. Follow Himanshu Kumar for the deep dive into each one. ↓ The timeline that should haunt you. December 2025: Bot launches with $313. Nobody notices. January 6, 2026: Wallet hits ~$438,000. 140x in 30 days. 6,615 predictions. 98% win rate. Finbold reports it. Crypto Twitter explodes. March 10, 2026: Head-to-head test. Claude bot: $1,000 → $14,216 in 48 hours. +1,322%. OpenClaw bot: fully liquidated. Same market. Same timeframe. Claude won because of better risk management. OpenClaw died because it overleveraged. March 16, 2026: Someone trains a swarm model on 3 years of NBA data. Result: +$1.49M on Polymarket. April 2026: 0x8dxd final verified balance: $2,382,780.80. 26,738 trades. 4 months. This all happened while you were "waiting for the right time to start." The right time was December 2025. The second best time is right now. But you'll probably wait until it's too late. That's what you always do. Every date on this timeline is a day you could have started but didn't. Save this post. Follow Himanshu Kumar so you at least start today. ↓ Why Claude and not ChatGPT? This isn't opinion. It's data. March 2026 head-to-head: Claude bot: +1,322%. OpenClaw (GPT-based): liquidated. Same prompt. Same market. Same conditions. Researchers found Claude's code included: > More defensive edge cases > More conservative default parameters > Better error handling > More legible code for debugging > Proper Kelly Criterion position sizing > Hard drawdown kill switches ChatGPT's code overleveraged into a losing sequence and couldn't recover. Claude's code sized positions conservatively, stopped trading when drawdown thresholds hit, and survived to compound another day. The difference between +1,322% and liquidation wasn't the strategy. It was the risk management. And Claude writes better risk management than ChatGPT. That's not a debate. That's a $15,216 difference in 48 hours. But sure, keep using ChatGPT because "everyone uses it." Everyone's broke too. Coincidence? Stop using the popular tool. Start using the profitable one. Save this post. Follow Himanshu Kumar for more Claude vs ChatGPT comparisons with real data. ↓ Why humans lose to bots. Every single time. Same strategy. Same market. Same period. Bots: ~$206,000 profit. Humans: ~$100,000 profit. 2x gap. Same strategy. Here's why: 1. Late entries. By the time you identify the lag, verify your reasoning, and click buy, the 2.7 second window is gone. The bot executes in under 100ms. You execute in 30 seconds. The opportunity doesn't exist for 30 seconds. 2. Emotional sizing. You oversize when "confident." Undersize when scared. Exact opposite of Kelly math. The bot sizes based on edge. Every time. No feelings. 3. Fatigue. You make worse decisions at hour 6 than at hour 1. The bot makes the same decision at hour 72 that it made at hour 1. 4. Drawdown psychology. After 3 losses you either panic quit or double down trying to recover. Both destroy capital. The bot has a kill switch. It stops. It doesn't feel anything. You're not competing with other humans anymore. You're competing with machines that don't sleep, don't feel, don't flinch. And you're losing. The data doesn't lie. Humans lose to bots 2x on the same strategy. Save this post. Follow Himanshu Kumar for the complete bot setup that removes you from the equation. ↓ What can go wrong. Because I'm not going to lie to you. Most people who build this bot will NOT 7,942x their money. Some will lose their initial capital. Here's what can kill you: Edge compression. The arbitrage window was 12 seconds in 2024. It's 2.7 seconds now. It's shrinking. At some point it hits zero for retail operators. This is a time-limited opportunity. Not a permanent income stream. Rule changes. Polymarket can change contract mechanics, settlement rules, or API terms overnight. What worked yesterday can lose money tomorrow. Risk management bugs. A 98% win rate strategy with broken position sizing will blow up your account on the one losing trade. The March 2026 experiment proved this. Claude survived. OpenClaw got liquidated. Same strategy. Different risk management. That's why the 2-hour video tutorial walks through every single risk parameter. Because the strategy doesn't kill you. Bad risk management kills you. This is the section most "gurus" delete. I'm keeping it because I'd rather you make money safely than blow up and blame me. Save this post. Follow Himanshu Kumar for honest breakdowns, not hype. ↓ The step-by-step to build your own. Step 1: Set up a Polymarket wallet. Fund with USDC via Polygon network. Start with $100-$300 for testing. Step 2: Generate API credentials. CLOB API key from docs.polymarket .com. Store private key in environment variable. Never hardcode it. Never share it. Step 3: Prompt Claude to build the bot. Use Claude Code for best results. It reads your filesystem, executes code, and iterates on errors autonomously. Step 4: Paper trade for at least one week. Minimum 200 completed trades. Win rate must be above 70% before going live. This step is NOT optional. Step 5: Configure risk management. Max single position: 8% of portfolio. Daily loss limit: -20% with auto halt. Kill switch at -40% drawdown. Telegram alerts on every threshold. Step 6: Go live small. $1-5 per trade. Watch every trade for first week. Compare to paper results. Scale only on evidence. Skip steps 4 and 5 and you will lose your money. That's not a warning. That's a guarantee. This is your complete build guide. Save this post. Follow Himanshu Kumar because I'll be posting the exact Claude prompts for each strategy. ↓ The edge exists right now. Not next month. Not "when you're ready." Right now. The arbitrage window is 2.7 seconds. It was 12 seconds in 2024. It's shrinking every week. Every day you wait, more bots enter the space. The window gets smaller. Your potential returns get smaller. The bots already running have a compounding advantage. They're making money today that they'll use to make more money tomorrow. You're reading about it and telling yourself "I'll look into this next weekend." That's what you said last weekend. And the weekend before that. The best time to start was 6 months ago. The second best time is today. But you already know you're going to bookmark this and never open it again. Prove me wrong. ↓ Full 2-hour video tutorial attached. Every single click. Every command. Every parameter. From zero to running bot. Beginner friendly. Nothing skipped. A similar bot has already earned $2,382,780. Full blockchain proof in the article below. The video is free. The tools are free. The edge still exists. The only thing that costs money is another month of doing nothing while bots eat every opportunity you're too slow to catch. Follow Himanshu Kumar for the complete series covering every automated income stream using Claude. Prediction markets are just the beginning. Save this post. Bookmark it. Screenshot it. Whatever you need to do so you actually watch the video and build the bot instead of just reading about people who did. You Must Follow me Himanshu Kumar, so i can send you DM.

Made $313 → $2,382,780 in 4 Days Using a Claude AI Bot on Polymarket. 26,738 trades. 98% win rate. Full blockchain proof. Every single trade verifiable on-chain. I've made the exact step-by-step guide to build this Claude Polymarket bot from scratch. You've been trading for 3 years. Still red. He gave Claude $313. Woke up rich. Free for 24 hours. To get this Setup guide: 1. Comment "Money" 2. Like and Retweet 3. Follow me Himanshu Kumar (so i can DM you) Full 2-hour video tutorial attached. Every single click and command explained. Beginner to running bot. Now let me break down exactly how this works. Save this post. This is the most important trading breakdown you'll ever read. ↓ Let's start with the number that should make you sick. $313. That's what this wallet started with. Not $50,000. Not $10,000. Not even $1,000. $313. Less than your monthly Netflix + Uber Eats + Spotify combined. 4 months later: $2,382,780.80. That's a 7,942x return. While you spent those same 4 months staring at charts, drawing trendlines, panic selling, revenge trading, and ending the month exactly where you started. Minus the $200 you lost on that "sure thing." Same 4 months. Same market. Same opportunities. He had a bot. You had feelings. Guess who won. Save this post right now. What I'm about to explain is the exact mechanism behind every dollar of that $2.38M. Follow Himanshu Kumar so you don't miss the rest. ↓ How Polymarket actually works and why bots print money on it. Polymarket is a prediction market. Will BTC be higher in 15 minutes? Yes or No. Will the Fed raise rates? Yes or No. You buy shares between $0 and $1. If you're right, your share settles at $1. If you're wrong, it settles at $0. Simple. Now here's where it gets interesting. Polymarket updates its prices SLOWER than the real market moves. When BTC drops 0.6% on Binance, Polymarket still shows old odds for about 2.7 seconds. 2.7 seconds. In those 2.7 seconds, the bot already knows the outcome. It's not predicting. It's not guessing. It's reading information that already exists and trading before Polymarket catches up. That's not trading. That's collecting free money with a 2.7 second head start. And you're over there using a 15-indicator TradingView setup trying to "predict" where BTC goes next. The bot doesn't predict anything. It just reads faster than you. That's the entire edge. Save this post because if you understand this one concept you understand how millionaires are being made on Polymarket right now. Follow Himanshu Kumar for more breakdowns like this. ↓ Let me walk you through one single trade. A new 15-minute BTC contract opens on Polymarket. Odds are 50/50. Fair price. 10 minutes in, BTC drops 0.6% on Binance. Hard, fast move. The real probability of BTC being lower at expiry is now about 78%. Polymarket still shows 54/46. The bot sees this instantly. Binance WebSocket feed. Under 50ms latency. The edge is 24 percentage points. On a binary contract, that's basically free money. Bot calculates position size using Kelly Criterion. Executes via Polymarket's API. Done. Within 2-3 seconds, other participants update the odds. 54/46 moves toward 78/22. Bot either exits for immediate profit or holds to resolution. Either way, the trade was entered with near-certainty of a positive outcome. Now repeat this 200-500 times per day. $313 → $2,382,780 in 4 months. Not magic. Not prediction. Not luck. Industrial-scale exploitation of a market inefficiency that still exists today. And you're still placing one manual trade per day and calling yourself a "trader." This is the mechanism behind every single dollar. Bookmark this post so you can study it again. Follow Himanshu Kumar because I'm breaking down each strategy separately. ↓ There are 4 strategies. Not all Claude bots do the same thing. Strategy 1: Latency Arbitrage. Win rate: 85-98%. What 0x8dxd used. Monitor Binance price feeds. When Polymarket odds lag behind reality by 3-5%, buy the correct side before the market corrects. No forecasting. No model. No sentiment analysis. Pure speed. You're not guessing. You're reading an outcome that has already happened. Strategy 2: Oracle Arbitrage. Win rate: 78-85%. Chainlink oracle price feeds occasionally diverge from Polymarket's implied prices. When they do, the settlement direction is known. Fewer opportunities. Higher certainty when they appear. Strategy 3: News-Driven Trading. Win rate: 60-75%. Claude ingests real-time news. Government filings. Central bank statements. On-chain data. Assesses probability impact before retail traders even finish reading the headline. Lower win rate because interpretation introduces uncertainty. But works on ANY market category, not just crypto. Strategy 4: Market Making. Return: 2-5% per month. Place buy and sell orders on both sides. Capture the spread. No prediction required. Most consistent. Hardest to blow up. Compounds aggressively over time. You didn't even know there were 4 strategies. You thought "trading bot" meant one thing. That's how far behind you are. 4 strategies. 4 different risk profiles. 4 ways to make money while you sleep. Save this post. Follow Himanshu Kumar for the deep dive into each one. ↓ The timeline that should haunt you. December 2025: Bot launches with $313. Nobody notices. January 6, 2026: Wallet hits ~$438,000. 140x in 30 days. 6,615 predictions. 98% win rate. Finbold reports it. Crypto Twitter explodes. March 10, 2026: Head-to-head test. Claude bot: $1,000 → $14,216 in 48 hours. +1,322%. OpenClaw bot: fully liquidated. Same market. Same timeframe. Claude won because of better risk management. OpenClaw died because it overleveraged. March 16, 2026: Someone trains a swarm model on 3 years of NBA data. Result: +$1.49M on Polymarket. April 2026: 0x8dxd final verified balance: $2,382,780.80. 26,738 trades. 4 months. This all happened while you were "waiting for the right time to start." The right time was December 2025. The second best time is right now. But you'll probably wait until it's too late. That's what you always do. Every date on this timeline is a day you could have started but didn't. Save this post. Follow Himanshu Kumar so you at least start today. ↓ Why Claude and not ChatGPT? This isn't opinion. It's data. March 2026 head-to-head: Claude bot: +1,322%. OpenClaw (GPT-based): liquidated. Same prompt. Same market. Same conditions. Researchers found Claude's code included: > More defensive edge cases > More conservative default parameters > Better error handling > More legible code for debugging > Proper Kelly Criterion position sizing > Hard drawdown kill switches ChatGPT's code overleveraged into a losing sequence and couldn't recover. Claude's code sized positions conservatively, stopped trading when drawdown thresholds hit, and survived to compound another day. The difference between +1,322% and liquidation wasn't the strategy. It was the risk management. And Claude writes better risk management than ChatGPT. That's not a debate. That's a $15,216 difference in 48 hours. But sure, keep using ChatGPT because "everyone uses it." Everyone's broke too. Coincidence? Stop using the popular tool. Start using the profitable one. Save this post. Follow Himanshu Kumar for more Claude vs ChatGPT comparisons with real data. ↓ Why humans lose to bots. Every single time. Same strategy. Same market. Same period. Bots: ~$206,000 profit. Humans: ~$100,000 profit. 2x gap. Same strategy. Here's why: 1. Late entries. By the time you identify the lag, verify your reasoning, and click buy, the 2.7 second window is gone. The bot executes in under 100ms. You execute in 30 seconds. The opportunity doesn't exist for 30 seconds. 2. Emotional sizing. You oversize when "confident." Undersize when scared. Exact opposite of Kelly math. The bot sizes based on edge. Every time. No feelings. 3. Fatigue. You make worse decisions at hour 6 than at hour 1. The bot makes the same decision at hour 72 that it made at hour 1. 4. Drawdown psychology. After 3 losses you either panic quit or double down trying to recover. Both destroy capital. The bot has a kill switch. It stops. It doesn't feel anything. You're not competing with other humans anymore. You're competing with machines that don't sleep, don't feel, don't flinch. And you're losing. The data doesn't lie. Humans lose to bots 2x on the same strategy. Save this post. Follow Himanshu Kumar for the complete bot setup that removes you from the equation. ↓ What can go wrong. Because I'm not going to lie to you. Most people who build this bot will NOT 7,942x their money. Some will lose their initial capital. Here's what can kill you: Edge compression. The arbitrage window was 12 seconds in 2024. It's 2.7 seconds now. It's shrinking. At some point it hits zero for retail operators. This is a time-limited opportunity. Not a permanent income stream. Rule changes. Polymarket can change contract mechanics, settlement rules, or API terms overnight. What worked yesterday can lose money tomorrow. Risk management bugs. A 98% win rate strategy with broken position sizing will blow up your account on the one losing trade. The March 2026 experiment proved this. Claude survived. OpenClaw got liquidated. Same strategy. Different risk management. That's why the 2-hour video tutorial walks through every single risk parameter. Because the strategy doesn't kill you. Bad risk management kills you. This is the section most "gurus" delete. I'm keeping it because I'd rather you make money safely than blow up and blame me. Save this post. Follow Himanshu Kumar for honest breakdowns, not hype. ↓ The step-by-step to build your own. Step 1: Set up a Polymarket wallet. Fund with USDC via Polygon network. Start with $100-$300 for testing. Step 2: Generate API credentials. CLOB API key from docs.polymarket .com. Store private key in environment variable. Never hardcode it. Never share it. Step 3: Prompt Claude to build the bot. Use Claude Code for best results. It reads your filesystem, executes code, and iterates on errors autonomously. Step 4: Paper trade for at least one week. Minimum 200 completed trades. Win rate must be above 70% before going live. This step is NOT optional. Step 5: Configure risk management. Max single position: 8% of portfolio. Daily loss limit: -20% with auto halt. Kill switch at -40% drawdown. Telegram alerts on every threshold. Step 6: Go live small. $1-5 per trade. Watch every trade for first week. Compare to paper results. Scale only on evidence. Skip steps 4 and 5 and you will lose your money. That's not a warning. That's a guarantee. This is your complete build guide. Save this post. Follow Himanshu Kumar because I'll be posting the exact Claude prompts for each strategy. ↓ The edge exists right now. Not next month. Not "when you're ready." Right now. The arbitrage window is 2.7 seconds. It was 12 seconds in 2024. It's shrinking every week. Every day you wait, more bots enter the space. The window gets smaller. Your potential returns get smaller. The bots already running have a compounding advantage. They're making money today that they'll use to make more money tomorrow. You're reading about it and telling yourself "I'll look into this next weekend." That's what you said last weekend. And the weekend before that. The best time to start was 6 months ago. The second best time is today. But you already know you're going to bookmark this and never open it again. Prove me wrong. ↓ Full 2-hour video tutorial attached. Every single click. Every command. Every parameter. From zero to running bot. Beginner friendly. Nothing skipped. A similar bot has already earned $2,382,780. Full blockchain proof in the article below. The video is free. The tools are free. The edge still exists. The only thing that costs money is another month of doing nothing while bots eat every opportunity you're too slow to catch. Follow Himanshu Kumar for the complete series covering every automated income stream using Claude. Prediction markets are just the beginning. Save this post. Bookmark it. Screenshot it. Whatever you need to do so you actually watch the video and build the bot instead of just reading about people who did. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

53,630 просмотров • 5 месяцев назад

This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)

This guy sells AI employees to small businesses. He's a non-technical designer with no audience, spends $0 on ads, has no tech background. Yet he's still done 21 agent setups in 6 months, almost all from referrals. His model: install one AI agent as a digital employee, then get paid monthly to manage it and coach the owner. Setup fee plus a per-agent monthly rate. Phil came on the Build With AI pod to walk us through the whole playbook. Here's what I learned: 1. The product is the coaching, not the agent. Owners treat AI like Google. You get paid to manage it so they never have to. 2. Raise your price every yes. $500 setups became $1,000. Now he's targeting $2,000 setups plus $1,000/month per agent. 3. Give the agent a value ledger. It logs every task and sends a weekly ROI report. One client's first week: 63 hours saved, $6,300 in value. 4. Put yourself in the group chat. Telegram group with Phil, the client, and the agent. The client learns by watching him talk to it. 5. The agents handle real multi-step work. One prompt: find the invoice email, extract the PDF into Excel, save to Dropbox, send the link. Done in 10 minutes. 6. Uptime is a selling point. The best prospects tried agents themselves and quit when they broke. Phil fixes it before the client notices. 7. Free work is the referral engine. Friends in his small Georgia town told friends in Atlanta and Dallas. Now he has clients nationwide. 8. The pitch is one text. "I'm testing a managed agent service. Want to be a guinea pig? I'll charge you less." First client: $250/month. 9. Make the agent write to Excel, not its own markdown. A shared source of truth is the difference between a demo and a system. 10. Phil builds his agents on Orgo. $29/month gets your agent a computer with pre-built templates. Phil's agent handles the Orgo admin itself. His 2 key takeaways: 1. You only need to be one step ahead. If you've built an agent for yourself, you know more than the owner who never has. Charge from day one. 2. Visible ROI is the retention strategy. A weekly "you saved $6,300" report re-sells the retainer every single week. Phil is doing this at a level most technical people are not, and we had a blast going deep on it. Go follow Phil Full video below. (Also available on the Build With AI podcast wherever you get your pods)

Corey Ganim

224,915 просмотров • 1 месяц назад

HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇

HERMES AGENT LEARNS FROM ITS OWN MISTAKES. UPDATES ITS MEMORY. CREATES ITS OWN SKILLS. NO CLOUD. EVERYTHING STORED LOCALLY. THIS IS HOW THE SELF-IMPROVING LOOP WORKS. most agents start from zero every session. Hermes carries forward what it learned. THREE MEMORY SYSTEMS: 1. PROCEDURAL MEMORY (how to act) stored in ~/.hermes/skills/ as SKILL.md files. when the agent repeats a complex workflow, it saves the procedure as a reusable skill. next time the same task comes up, it follows the skill instead of figuring it out again. you can also create skills explicitly: "create a skill called video-prep that captures how I format my video scripts. spoken english, define jargon inline, no em-dashes, close with a catchphrase." the agent writes the SKILL.md. available as a slash command from that moment. Hermes ships with 90+ skills. the number grows the longer you use it. 2. SEMANTIC MEMORY (durable facts about you) stored in ~/.hermes/memory/memory.md the agent scans conversations for facts worth remembering. preferences, habits, corrections, project details. real example from the video: agent tried to scrape a YouTube channel. URL was wrong. it failed. it updated memory.md with the correct URL pattern so it never makes the same mistake again. you can also save explicitly: "save to memory that my favorite testing framework is pytest" the agent updates memory.md immediately. this file loads into context on every session. the agent knows you better every week. 3. EPISODIC MEMORY (chat history) stored in ~/.hermes/state.db (local SQLite). every conversation. every tool call. every result. searchable with FTS5 full-text search. "search our past sessions. what was the first thing I ever said to you?" the agent queries state.db and finds it. over time, auxiliary models consolidate episodic memory into semantic memory. distilling recurring patterns into durable facts. THE SELF-IMPROVING LOOP: every agent run follows this cycle: → you send a prompt → working memory loads: SOUL.md + memory.md + relevant skills + chat history → agent calls tools (terminal, browser, delegate_task) → agent completes the task, replies to you → AFTER the reply: agent checks "did I learn something worth saving?" → if yes: updates memory.md or creates a new skill → next session starts smarter than the last this happens automatically. you don't ask the agent to learn. it decides what to remember on its own. WHAT MAKES THIS DIFFERENT FROM CLAUDE CODE: Claude Code has memory too. but Hermes stores everything locally. no cloud. your data never leaves your machine. Claude Code doesn't auto-create skills from experience. Hermes turns repeated workflows into reusable procedures. Claude Code memory is instruction-based. Hermes memory is conversational and self-updating. over months of usage, Hermes builds a knowledge base of your preferences, your projects, your mistakes, and the procedures that work for your specific workflow. the agent that remembers your birthday also remembers why your last deploy failed. NO EMBEDDINGS. PLAIN TEXT. Hermes does not use embeddings or RAG for memory. skill and memory search runs on plain text keyword matching. simpler. faster. no vector database to maintain. works entirely offline on your local machine. DELEGATE TO CLAUDE CODE: Hermes can spawn a sub-agent that runs Claude Code in headless mode: "spawn a sub-agent using Claude CLI to build a Python script that fetches the top 5 Hacker News stories to markdown." Hermes delegates. Claude Code writes the code. result returns to Hermes. Hermes runs the script and delivers the output. use Hermes for orchestration. use Claude Code for heavy coding. both tools. not competitors. WHAT HERMES DOES NOT HAVE: no built-in eval or LMOps system. no LangSmith, no LangFuse integration out of the box. trajectory export and logs exist but there is no automated quality tracking. if you need eval, build it yourself or connect external tools. the loop is self-improving. measuring how well it improves is on you. comment LOOP and I'll send you the configs that control how fast Hermes learns and what it remembers. memory limits, skill auto-creation triggers, and the auxiliary model that runs the learning. Replace your entire team with 8 hermes agents👇

YanXbt

22,720 просмотров • 2 месяцев назад

How to build a $100K/month iOS app (playbook below): Over the next 18 months, we'll see 200+ apps hit $100k/month solving problems that were impossible to solve until right now. AI can now solve hyper-specific problems for tiny audiences. Problems so specific only 50,000 people on earth have them. But those 50,000 will pay $40/month for a perfect solution. Meanwhile, the "For You Page" killed the need for followers. Any creator with zero audience can go viral tomorrow. One video about your niche app can deliver 1,000 paying customers overnight. This is the perfect storm. Micro-problems can finally be solved. Micro-apps can finally find their people. *Disclaimer* No, this won't work for everyone. Not everyone will make $100k MRR app. But there is a tremendous amount of opportunity, and my point is this is how i'd approach it: The playbook: 1) Daily habit (not occasional use) Not "track calories." Think "photograph your psoriasis patches every morning to track flare triggers." Not "meditate" but "record your stutter severity after each phone call." The winning apps solve micro-problems inside daily routines. The person checking if their dog's food has ingredients that trigger seizures. The runner who needs to know if today's pollen will trigger their exercise-induced asthma. Find the tiny, specific thing someone does at the exact same time every day. 2) AI-powered narrow wedge One problem. One perfect solution. "AI that tells if this supplement will interfere with your Adderall." "AI that identifies which FODMAP ingredients are in this restaurant dish." The narrower you go, the more people will pay. Start with one use case that takes 10 seconds to understand. 3) One channel, 3 formats TikTok or Instagram. Pick one. Test three content types daily. When something hits, make 50 versions. The apps making $100K/month mastered one platform before touching another. 4) 100 obsessed users 100 people who use it daily and would riot if you shut down. They'll bring the next 100. Those bring 400. But without the first 100 fanatics, you have nothing. Use organic audience to bring these people there. 5) Charge immediately Paywall goes up week one. $7-40/month. Free users give garbage feedback. Paying users tell you exactly what to build. If nobody pays for your broken MVP, they won't pay for your polished version either. 90-day timeline: Days 1-10: Find the habit, validate demand (reddit, tiktok, Idea Browser) Days 11-30: Ship the ugliest working version (use bolt/lovable/vibecode app/rork) While you're doing this you're building organic audience. Figuring out formats, focusing on 1 channel, working with creators. Days 31-60: Get 100 users, obsess over them Days 61-90: Double down on what's working TLDR; Pick a daily micro-problem this weekend. Ship something that solves it by next weekend. Charge for it the weekend after. (full episode is below or on the latest episode The Startup Ideas Podcast (SIP) 🧃 on yt etc) Enjoy the sauce. People charge for this sorta sauce. It's free for you. The App Store is open for the first time in years. Go claim your piece. Im rooting for you.

How to build a $100K/month iOS app (playbook below): Over the next 18 months, we'll see 200+ apps hit $100k/month solving problems that were impossible to solve until right now. AI can now solve hyper-specific problems for tiny audiences. Problems so specific only 50,000 people on earth have them. But those 50,000 will pay $40/month for a perfect solution. Meanwhile, the "For You Page" killed the need for followers. Any creator with zero audience can go viral tomorrow. One video about your niche app can deliver 1,000 paying customers overnight. This is the perfect storm. Micro-problems can finally be solved. Micro-apps can finally find their people. Disclaimer No, this won't work for everyone. Not everyone will make $100k MRR app. But there is a tremendous amount of opportunity, and my point is this is how i'd approach it: The playbook: 1) Daily habit (not occasional use) Not "track calories." Think "photograph your psoriasis patches every morning to track flare triggers." Not "meditate" but "record your stutter severity after each phone call." The winning apps solve micro-problems inside daily routines. The person checking if their dog's food has ingredients that trigger seizures. The runner who needs to know if today's pollen will trigger their exercise-induced asthma. Find the tiny, specific thing someone does at the exact same time every day. 2) AI-powered narrow wedge One problem. One perfect solution. "AI that tells if this supplement will interfere with your Adderall." "AI that identifies which FODMAP ingredients are in this restaurant dish." The narrower you go, the more people will pay. Start with one use case that takes 10 seconds to understand. 3) One channel, 3 formats TikTok or Instagram. Pick one. Test three content types daily. When something hits, make 50 versions. The apps making $100K/month mastered one platform before touching another. 4) 100 obsessed users 100 people who use it daily and would riot if you shut down. They'll bring the next 100. Those bring 400. But without the first 100 fanatics, you have nothing. Use organic audience to bring these people there. 5) Charge immediately Paywall goes up week one. $7-40/month. Free users give garbage feedback. Paying users tell you exactly what to build. If nobody pays for your broken MVP, they won't pay for your polished version either. 90-day timeline: Days 1-10: Find the habit, validate demand (reddit, tiktok, Idea Browser) Days 11-30: Ship the ugliest working version (use bolt/lovable/vibecode app/rork) While you're doing this you're building organic audience. Figuring out formats, focusing on 1 channel, working with creators. Days 31-60: Get 100 users, obsess over them Days 61-90: Double down on what's working TLDR; Pick a daily micro-problem this weekend. Ship something that solves it by next weekend. Charge for it the weekend after. (full episode is below or on the latest episode The Startup Ideas Podcast (SIP) 🧃 on yt etc) Enjoy the sauce. People charge for this sorta sauce. It's free for you. The App Store is open for the first time in years. Go claim your piece. Im rooting for you.

GREG ISENBERG

102,168 просмотров • 11 месяцев назад