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30-second double cooking tutorial 🔥 SUSHI ROLL (15s) → ARTISAN BREAD (15s) ChatGPT 2.0 + Seedance combo again. Full reference boards + exact prompts dropping now 👇

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Dheepan Ratnam

14,800 subscribers

29,135 views • 2 months ago •via X (Twitter)

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30 seconds of pure summer vibes ✨ CITRUS MOCKTAIL + STREET TACO ASSEMBLY ChatGPT 2.0 images + Seedance animation style delivered again 🔥 Full reference boards + prompts dropping now 👇
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30 seconds of pure summer vibes ✨ CITRUS MOCKTAIL + STREET TACO ASSEMBLY ChatGPT 2.0 images + Seedance animation style delivered again 🔥 Full reference boards + prompts dropping now 👇

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15-second Street-Jazz Dance Choreography that actually looks pro 🔥 ChatGPT 2.0 + Seedance 2.0 combo One reference board → two fire videos: 1. Strict step-by-step choreography 2. Cinematic dynamic version Full reference + both prompts dropping now 👇

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Pierrick Chevallier | IA

15,268 views • 3 months ago

I just cracked the code on AI UGC ads 🤯 51 seconds long. One creator across the entire ad: same face, same voice, same product packaging in every single shot. Talking-head delivery, b-roll cutaways, voiceover running over the b-roll, and the creator moving through different settings. A fully edited, multi-shot ad that actually holds. If you've been stuck generating 8-second clips that look fine but fall apart the second you try to string them into a real ad, no character that holds, no voice that stays the same clip to clip, no product that survives more than one shot, this is the workflow you're missing. Here's exactly how I did it: → Pull a winning authority ad and rewrite the script for your product → Build your creator in ChatGPT Images 2.0 to match the exact buyer demographic → Lock the creator + product as reusable Elements so they stay identical across every shot → Break the script into single-scene shots so each one is a clean generation → Lock the voice on the first clip, then carry that same voice through every shot after → Tag your b-roll shots as voiceover so the line plays over the cutaway instead of lip-syncing → Edit in CapCut: cut the dead air, nudge to 1.1x → Drop the final cut in Captions, add subtitles, export Consistent character, consistent voice, consistent packaging — across talking head, b-roll, voiceover, and multiple settings. No character drift. No robotic voice swap. No disconnected 8-second clips. I put together the full step-by-step playbook with the exact ChatGPT Images 2.0 and Seedance prompts, the element-tagging setup, and the voice trick most people miss. Want it? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)
0:51

I just cracked the code on AI UGC ads 🤯 51 seconds long. One creator across the entire ad: same face, same voice, same product packaging in every single shot. Talking-head delivery, b-roll cutaways, voiceover running over the b-roll, and the creator moving through different settings. A fully edited, multi-shot ad that actually holds. If you've been stuck generating 8-second clips that look fine but fall apart the second you try to string them into a real ad, no character that holds, no voice that stays the same clip to clip, no product that survives more than one shot, this is the workflow you're missing. Here's exactly how I did it: → Pull a winning authority ad and rewrite the script for your product → Build your creator in ChatGPT Images 2.0 to match the exact buyer demographic → Lock the creator + product as reusable Elements so they stay identical across every shot → Break the script into single-scene shots so each one is a clean generation → Lock the voice on the first clip, then carry that same voice through every shot after → Tag your b-roll shots as voiceover so the line plays over the cutaway instead of lip-syncing → Edit in CapCut: cut the dead air, nudge to 1.1x → Drop the final cut in Captions, add subtitles, export Consistent character, consistent voice, consistent packaging — across talking head, b-roll, voiceover, and multiple settings. No character drift. No robotic voice swap. No disconnected 8-second clips. I put together the full step-by-step playbook with the exact ChatGPT Images 2.0 and Seedance prompts, the element-tagging setup, and the voice trick most people miss. Want it? > Like this post > Comment "UGC" And I'll send it over (must be following so I can DM)

Mike Futia

37,479 views • 1 month ago

I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)
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I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

52,281 views • 2 months ago

Live now. Full step-by-step tutorial for getting REAL pixel art game sprites with AI No more MIXELS! > GPT Image 2.0 > Pixel Snapper by SpriteFusion > Codex w/ GPT 5.5 High > Phaser 4 Also how I solve other annoying bugs with AI generated sprites. Prompts + more in reply👇 00:00 Intro 01:24 Overview of what we're building 02:42 Pick any AI tool 04:29 Problem 1: Fake pixels or 'mixels' 04:53 Problem 2: Frame Bleeds 05:39 Problem 3: Frame Drifts 06:21 Step 1: Generate a reference image 07:53 Step 2: Pixel Snap to Anchor 13:02 Step 3: Generate West-facing anchor 14:45 Step 4: Pixel snap (again!) 15:46 Step 5: Generating animation spritesheets 19:27 Steo 6: Recovering Frames 20:25 Step 7: Curating Frames 21:33 Step 8: Pixel Snap Each Frame 22:08 Step 9: Anchoring Frames 23:40 Step 10: Normalise and combine 26:28 Wrap up
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Live now. Full step-by-step tutorial for getting REAL pixel art game sprites with AI No more MIXELS! > GPT Image 2.0 > Pixel Snapper by SpriteFusion > Codex w/ GPT 5.5 High > Phaser 4 Also how I solve other annoying bugs with AI generated sprites. Prompts + more in reply👇 00:00 Intro 01:24 Overview of what we're building 02:42 Pick any AI tool 04:29 Problem 1: Fake pixels or 'mixels' 04:53 Problem 2: Frame Bleeds 05:39 Problem 3: Frame Drifts 06:21 Step 1: Generate a reference image 07:53 Step 2: Pixel Snap to Anchor 13:02 Step 3: Generate West-facing anchor 14:45 Step 4: Pixel snap (again!) 15:46 Step 5: Generating animation spritesheets 19:27 Steo 6: Recovering Frames 20:25 Step 7: Curating Frames 21:33 Step 8: Pixel Snap Each Frame 22:08 Step 9: Anchoring Frames 23:40 Step 10: Normalise and combine 26:28 Wrap up

Chong-U

33,851 views • 2 months ago

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.
0:46

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Travis Davids

19,081 views • 2 months ago

I just cracked the code on AI UGC ads 🤯 This ad is nearly THREE minutes long, and it has perfect character, voice, and product consistency across the entire video. I found a winning authority-style ad running on Meta, recreated it shot-for-shot with AI, and ended up with what you see below. Two consistent characters, consistent voice, real product in hand. If you've been stuck generating 8 second clips that look fine but can't hold attention for a full funnel ad, this is the workflow you're missing. Here's exactly how I did it: → Find a winning ad in Meta Ad Library and download it → Upload to Loom to get a timestamped transcript (this becomes your script) → Screenshot each character → clean in ChatGPT Images 2.0 → upload as Seedance Elements → Generate your first clip per character to lock in their voice → Extract that voice as an MP3 via CapCut, attach it to every clip after → Edit in CapCut: remove dead zones, speed up to 1.1x, done → Drop final video in the Captions app, add subtitles, export 2 minutes and 40 seconds, perfect character & product consistency. I put together the full step-by-step playbook with exact Seedance prompts, the CapCut speed trick, and a voiceover technique most people don't know about. Want access completely for free? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)
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I just cracked the code on AI UGC ads 🤯 This ad is nearly THREE minutes long, and it has perfect character, voice, and product consistency across the entire video. I found a winning authority-style ad running on Meta, recreated it shot-for-shot with AI, and ended up with what you see below. Two consistent characters, consistent voice, real product in hand. If you've been stuck generating 8 second clips that look fine but can't hold attention for a full funnel ad, this is the workflow you're missing. Here's exactly how I did it: → Find a winning ad in Meta Ad Library and download it → Upload to Loom to get a timestamped transcript (this becomes your script) → Screenshot each character → clean in ChatGPT Images 2.0 → upload as Seedance Elements → Generate your first clip per character to lock in their voice → Extract that voice as an MP3 via CapCut, attach it to every clip after → Edit in CapCut: remove dead zones, speed up to 1.1x, done → Drop final video in the Captions app, add subtitles, export 2 minutes and 40 seconds, perfect character & product consistency. I put together the full step-by-step playbook with exact Seedance prompts, the CapCut speed trick, and a voiceover technique most people don't know about. Want access completely for free? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

40,148 views • 1 month ago

I couldn't believe it. One product image = a full video ad with Wizstar. No script. No shoot. No editor. Just the image, one sentence of instruction, and Wizstar did everything else. It analyzes your product automatically, builds the scene around it, and generates a complete marketing video. Character stays consistent across every shot. Product details stay accurate. Audio and video sync perfectly. It powers multi-model invocation to match any style you need, and Seedance 2.0 supports face input for consistent character generation. But wait, it gets better. You can also upload any viral video from TikTok or Amazon. Then it will recreate that EXACT winning formula for YOUR product. No more guessing what works. Zero creative trial and error. Make a video today, start seeing sales in 7 days. New users get free credits on signup. First subscription is only $19 and includes a 30-second E-commerce Agent experience. Try it here: Who's making their first ad tonight? 👇 #Wizstar #AIVideo #EcommerceMarketing
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I couldn't believe it. One product image = a full video ad with Wizstar. No script. No shoot. No editor. Just the image, one sentence of instruction, and Wizstar did everything else. It analyzes your product automatically, builds the scene around it, and generates a complete marketing video. Character stays consistent across every shot. Product details stay accurate. Audio and video sync perfectly. It powers multi-model invocation to match any style you need, and Seedance 2.0 supports face input for consistent character generation. But wait, it gets better. You can also upload any viral video from TikTok or Amazon. Then it will recreate that EXACT winning formula for YOUR product. No more guessing what works. Zero creative trial and error. Make a video today, start seeing sales in 7 days. New users get free credits on signup. First subscription is only $19 and includes a 30-second E-commerce Agent experience. Try it here: Who's making their first ad tonight? 👇 #Wizstar #AIVideo #EcommerceMarketing

Pradeep Pandey

59,917 views • 1 month ago

THE MOST COMPREHENSIVE AI VIDEO TUTORIAL (43 mins): how to use sora 2 + veo3 to turn 1 idea into 1M+ views (not AI slop, AI gold) 1/ start with the hook - before opening any tool, write 10 first lines that would stop someone mid-scroll. emotion, surprise, or curiosity. the first 3 seconds decide everything. 2/ script it in chatgpt - once you have the hook, prompt chatgpt to write a 30–45 second script with a clear setup, build, and twist. short, rhythmic sentences work best for retention. 3/ storyboard with reve or similar- drop the script in and visualize each moment. this keeps your pacing tight and your message clear before you hit generate. 4/ generate visuals with veo3 etc - turn the storyboard into scenes: cinematic lighting, expressive faces, fast transitions. keep a new image or motion every 2 seconds — pattern interrupts keep people watching. 5/ animate in sora 2- use sora 2 to bring everything to life. add subtle movement, dialogue sync, and environmental motion that feels handcrafted, not robotic. 6/ edit for rhythm and emotion - layer sound design and quick pacing. trim any fluff. test versions with different opening hooks or music cues. the most viral clips hit hard, then end fast. 7/ analyze and remix - post across shorts, reels, and tiktok. check retention graphs, rework the top 10% of performers, and double down on formats that hit. every viral creator has 10 quiet failures behind each success. MEGA thanks to PJ Ace for dropping the sauce on The Startup Ideas Podcast (SIP) 🧃 again PEOPLE CHARGE $$$ FOR THIS SORTA STUFF, IT'S FREE FOR YOU TO CRUSH IT I'd love to see him come back on, so please let us know if you enjoyed it AI slop is flooding every feed right now, which is exactly why great storytelling matters again. the people who use these tools with taste and intention will rise above the noise. this is the moment to build things that actually make people feel something. no one wants AI slop. everyone wants content that moves them, not just fills the feed.
43:36

THE MOST COMPREHENSIVE AI VIDEO TUTORIAL (43 mins): how to use sora 2 + veo3 to turn 1 idea into 1M+ views (not AI slop, AI gold) 1/ start with the hook - before opening any tool, write 10 first lines that would stop someone mid-scroll. emotion, surprise, or curiosity. the first 3 seconds decide everything. 2/ script it in chatgpt - once you have the hook, prompt chatgpt to write a 30–45 second script with a clear setup, build, and twist. short, rhythmic sentences work best for retention. 3/ storyboard with reve or similar- drop the script in and visualize each moment. this keeps your pacing tight and your message clear before you hit generate. 4/ generate visuals with veo3 etc - turn the storyboard into scenes: cinematic lighting, expressive faces, fast transitions. keep a new image or motion every 2 seconds — pattern interrupts keep people watching. 5/ animate in sora 2- use sora 2 to bring everything to life. add subtle movement, dialogue sync, and environmental motion that feels handcrafted, not robotic. 6/ edit for rhythm and emotion - layer sound design and quick pacing. trim any fluff. test versions with different opening hooks or music cues. the most viral clips hit hard, then end fast. 7/ analyze and remix - post across shorts, reels, and tiktok. check retention graphs, rework the top 10% of performers, and double down on formats that hit. every viral creator has 10 quiet failures behind each success. MEGA thanks to PJ Ace for dropping the sauce on The Startup Ideas Podcast (SIP) 🧃 again PEOPLE CHARGE $$$ FOR THIS SORTA STUFF, IT'S FREE FOR YOU TO CRUSH IT I'd love to see him come back on, so please let us know if you enjoyed it AI slop is flooding every feed right now, which is exactly why great storytelling matters again. the people who use these tools with taste and intention will rise above the noise. this is the moment to build things that actually make people feel something. no one wants AI slop. everyone wants content that moves them, not just fills the feed.

GREG ISENBERG

137,811 views • 9 months ago

Can AI create a Hollywood-quality storyboard from just one prompt? This entire cinematic storyboard, from the seamless bridge shot to the final battle frame, was created with GPT Image 2 + Seedance 2.0 on TapNow The consistency in character design, camera angles, lighting, and storytelling makes it feel like a real film pre-production board. Would you watch "Last Light on Desolation Row" if it became a movie? Prompt: LAST LIGHT ON DESOLATION ROW 30-Second AI Video Prompt (Short Version) Style: IMAX cinematic, ultra-photorealistic, handheld realism, 4K HDR, shallow depth of field, natural lens breathing, gritty post-apocalyptic atmosphere, no music, realistic sound design only. Character (Locked): Asha Voss — Western female, late 20s, pale gray eyes, auburn hair beneath a weathered wide-brim hat with a silver band, scar above left brow, graphite-gray long duster, dark tactical clothing, steel-heeled boots. Calm, cold, fearless. Weapon (Locked): Crescent Chain Sickle — obsidian crescent blade with glowing violet cracks, woven-steel chain with violet energy nodes, geometric counterweight, violet energy trails while spinning. Enemies (Locked): Veil Crawlers — mirror-glass humanoids with backward-bending joints, glass-shard fingers, featureless reflective faces, ghost afterimages, signature reversed-glass sound. Environment (Locked): Collapsed American interstate highway at dusk, burnt vehicles, fallen overpasses, glowing amber asphalt fissures, drifting ash, copper-to-violet sky, dry wind, no rain. Part 1 – The Arrival (0–15s) Extreme macro of the Crescent Chain Sickle scraping glowing asphalt as violet cracks awaken. Whip pan to Asha Voss standing silently beneath her hat, then handheld tracking follows her through the ruined highway while the chain slides through her gloved hand. She suddenly stops after hearing reversed glass-breaking echoes. The first Veil Crawlers emerge between burnt vehicles. Close-up of her eyes reflecting violet light as she calmly releases the chain. The first and second violet energy nodes ignite, the weapon begins its first rotation— Hard Cut. Part 2 – The Hunt (15–30s) Open on the exact same frame where Part 1 ended. Continue the identical close-up as the second and third energy nodes ignite. The camera pulls back to reveal Asha dropping into her combat stance before charging into the Veil Crawler swarm. The Crescent Chain Sickle spins in brilliant violet arcs as she battles through the creatures. Macro shots highlight the weapon's mechanics before she vaults onto an overturned truck, creating a glowing vortex above the battlefield. She launches into the air, unleashing one massive violet sweep that shatters the swarm into mirror fragments. She lands calmly on one knee as the weapon slows, violet energy fades, ash drifts through the silent battlefield, and the screen fades to black. Negative Prompt: Do not change Asha's appearance, age, clothing, weapon, or environment between shots. Keep the same collapsed highway, copper-violet sky, and ash-filled atmosphere throughout. No anime, cartoons, daylight, rain, text, subtitles, logos, UI, music, or creature redesigns.
0:28

Can AI create a Hollywood-quality storyboard from just one prompt? This entire cinematic storyboard, from the seamless bridge shot to the final battle frame, was created with GPT Image 2 + Seedance 2.0 on TapNow The consistency in character design, camera angles, lighting, and storytelling makes it feel like a real film pre-production board. Would you watch "Last Light on Desolation Row" if it became a movie? Prompt: LAST LIGHT ON DESOLATION ROW 30-Second AI Video Prompt (Short Version) Style: IMAX cinematic, ultra-photorealistic, handheld realism, 4K HDR, shallow depth of field, natural lens breathing, gritty post-apocalyptic atmosphere, no music, realistic sound design only. Character (Locked): Asha Voss — Western female, late 20s, pale gray eyes, auburn hair beneath a weathered wide-brim hat with a silver band, scar above left brow, graphite-gray long duster, dark tactical clothing, steel-heeled boots. Calm, cold, fearless. Weapon (Locked): Crescent Chain Sickle — obsidian crescent blade with glowing violet cracks, woven-steel chain with violet energy nodes, geometric counterweight, violet energy trails while spinning. Enemies (Locked): Veil Crawlers — mirror-glass humanoids with backward-bending joints, glass-shard fingers, featureless reflective faces, ghost afterimages, signature reversed-glass sound. Environment (Locked): Collapsed American interstate highway at dusk, burnt vehicles, fallen overpasses, glowing amber asphalt fissures, drifting ash, copper-to-violet sky, dry wind, no rain. Part 1 – The Arrival (0–15s) Extreme macro of the Crescent Chain Sickle scraping glowing asphalt as violet cracks awaken. Whip pan to Asha Voss standing silently beneath her hat, then handheld tracking follows her through the ruined highway while the chain slides through her gloved hand. She suddenly stops after hearing reversed glass-breaking echoes. The first Veil Crawlers emerge between burnt vehicles. Close-up of her eyes reflecting violet light as she calmly releases the chain. The first and second violet energy nodes ignite, the weapon begins its first rotation— Hard Cut. Part 2 – The Hunt (15–30s) Open on the exact same frame where Part 1 ended. Continue the identical close-up as the second and third energy nodes ignite. The camera pulls back to reveal Asha dropping into her combat stance before charging into the Veil Crawler swarm. The Crescent Chain Sickle spins in brilliant violet arcs as she battles through the creatures. Macro shots highlight the weapon's mechanics before she vaults onto an overturned truck, creating a glowing vortex above the battlefield. She launches into the air, unleashing one massive violet sweep that shatters the swarm into mirror fragments. She lands calmly on one knee as the weapon slows, violet energy fades, ash drifts through the silent battlefield, and the screen fades to black. Negative Prompt: Do not change Asha's appearance, age, clothing, weapon, or environment between shots. Keep the same collapsed highway, copper-violet sky, and ash-filled atmosphere throughout. No anime, cartoons, daylight, rain, text, subtitles, logos, UI, music, or creature redesigns.

Shami

27,603 views • 15 days ago

🚨BREAKING: SECOND AFGHAN "REFUGEE" ARRESTED IN TERROR PLOT – Just DAYS After DC National Guard Massacre! Biden's Open-Door Disaster Strikes AGAIN 😱 FOX is reporting that Mohammad Dawood Alokozay, 30's (exact age TBD), Afghan national – admitted as a lawful permanent resident on September 7, 2022 via Biden's botched Operation Allies Welcome (same program that flew in the DC shooter Rahmanullah Lakanwal, who ambushed & killed 20yo hero Sarah Beckstrom on Nov 26) – was BUSTED Tuesday, Nov 25 in Fort Worth, Texas. He allegedly posted a CHILLING TikTok video SHOWING HIMSELF BUILDING A HOMEMADE BOMB – straight-up threatening to DETONATE it in the Fort Worth area! "Intended target: Fort Worth," per DHS. No joke – he was flaunting bomb-making materials like it was a cooking tutorial from hell. Arrest Details: ▶️Nabbed by a joint FBI Joint Terrorism Task Force + Texas DPS op – swift takedown before he could blow. ▶️Charged at STATE LEVEL: Making a Terroristic Threat (court docs confirm). Facing up to 10+ years if convicted. ▶️ICE DETAINER LOCKED IN – he's not walking free. Deportation proceedings incoming, but after Biden's mess? Who knows. This guy's NO random – he was "welcomed" post-2021 Afghanistan WITHDRAWAL FIASCO (remember the 13 dead Marines at Abbey Gate?). DHS admits the program "resettled" 77K+ Afghans with ZERO follow-up vetting. Now we've got TWO in a WEEK plotting mass murder on US soil: 🔸Wali: Afghan translator (2014 entry) shoots two cops during VA traffic stop, killed after ranting "I should have served with the f***ing Taliban." 🔸Lakanwal: CIA-tied evacuee snipes Guardsmen in DC (one dead, one critical) – screams "Allahu Akbar," drives cross-country. 🔸Alokozay: TikTok terror blueprint for Texas bombing. Coincidence? Or proof Biden's "humanitarian" floodgates let wolves in sheep's clothing? Trump's already vowing MASS DEPORTATIONS & visa pauses – about time! Texas families: Stay vigilant. America: Demand accountability. This isn't "isolated" – it's a PATTERN. Share if you're FURIOUS. Who's next?
1:16

🚨BREAKING: SECOND AFGHAN "REFUGEE" ARRESTED IN TERROR PLOT – Just DAYS After DC National Guard Massacre! Biden's Open-Door Disaster Strikes AGAIN 😱 FOX is reporting that Mohammad Dawood Alokozay, 30's (exact age TBD), Afghan national – admitted as a lawful permanent resident on September 7, 2022 via Biden's botched Operation Allies Welcome (same program that flew in the DC shooter Rahmanullah Lakanwal, who ambushed & killed 20yo hero Sarah Beckstrom on Nov 26) – was BUSTED Tuesday, Nov 25 in Fort Worth, Texas. He allegedly posted a CHILLING TikTok video SHOWING HIMSELF BUILDING A HOMEMADE BOMB – straight-up threatening to DETONATE it in the Fort Worth area! "Intended target: Fort Worth," per DHS. No joke – he was flaunting bomb-making materials like it was a cooking tutorial from hell. Arrest Details: ▶️Nabbed by a joint FBI Joint Terrorism Task Force + Texas DPS op – swift takedown before he could blow. ▶️Charged at STATE LEVEL: Making a Terroristic Threat (court docs confirm). Facing up to 10+ years if convicted. ▶️ICE DETAINER LOCKED IN – he's not walking free. Deportation proceedings incoming, but after Biden's mess? Who knows. This guy's NO random – he was "welcomed" post-2021 Afghanistan WITHDRAWAL FIASCO (remember the 13 dead Marines at Abbey Gate?). DHS admits the program "resettled" 77K+ Afghans with ZERO follow-up vetting. Now we've got TWO in a WEEK plotting mass murder on US soil: 🔸Wali: Afghan translator (2014 entry) shoots two cops during VA traffic stop, killed after ranting "I should have served with the f***ing Taliban." 🔸Lakanwal: CIA-tied evacuee snipes Guardsmen in DC (one dead, one critical) – screams "Allahu Akbar," drives cross-country. 🔸Alokozay: TikTok terror blueprint for Texas bombing. Coincidence? Or proof Biden's "humanitarian" floodgates let wolves in sheep's clothing? Trump's already vowing MASS DEPORTATIONS & visa pauses – about time! Texas families: Stay vigilant. America: Demand accountability. This isn't "isolated" – it's a PATTERN. Share if you're FURIOUS. Who's next?

Project Constitution

24,194 views • 7 months ago

She thought she could walk away from the throne. But every time she rejected the crown... it found its way back. This 30-second fantasy story was created entirely with Seedance 2.0 on Thank You AI From the magical environments to the cinematic camera work, character consistency, and seamless visual effects, every scene brought this story to life exactly as I imagined. Would you accept the crown... or keep running? 👑 PROMPT: Scene 1 (0–5s) – Rejecting the Crown Early morning on the highest castle balcony overlooking a vast medieval kingdom. Golden sunrise bathes the kingdom in warm light. The princess stands alone, holding an ornate golden crown in both hands. Tears fill her eyes as she slowly removes it from her head. She looks down at the peaceful kingdom before whispering, "I never wanted this." With quiet determination, she throws the crown off the balcony. The camera follows the crown spinning through the air in dramatic slow motion before cutting away just before it reaches the ground. Scene 2 (5–10s) – Freedom at Last The princess has changed into a simple brown traveler’s cloak over her dress and quietly walks through a lively village marketplace, smiling naturally for the first time. She helps a young child pick up scattered apples and blends in with ordinary people. Suddenly, villagers begin looking upward in confusion. A warm golden glow appears behind her. She slowly turns around to discover the crown floating silently toward her through the air. Before she can react, it gently settles back onto her head. Her smile instantly disappears. Scene 3 (10–15s) – Trying to Escape Again Determined to be free, she runs deep into an enchanted forest filled with towering ancient trees and glowing flowers. She removes the crown once more and forcefully throws it into a sparkling magical river. The crown sinks beneath the crystal-clear water. She exhales in relief and begins walking away. Seconds later, the river erupts with brilliant golden light. The crown rises gracefully from the water, hovering through the forest before once again placing itself perfectly on her head. The surrounding animals quietly bow as she stands frozen in disbelief. Scene 4 (15–20s) – The Ancient Truth Inside an abandoned royal temple hidden beneath the forest, countless ancient portraits of former queens line the walls. Dust floats through beams of sunlight. As the princess walks past, every portrait magically comes to life. Each queen is shown removing and throwing away the exact same crown before eventually wearing it again. The final portrait remains blank until golden magic slowly paints the princess's own face onto the canvas. She stares in shock as the realization overwhelms her. Scene 5 (20–25s) – The Crown Speaks The temple suddenly fills with brilliant golden light. The crown gently lifts itself off her head and floats before her at eye level. Ancient glowing runes circle around it while the room trembles softly with magic. A calm, powerful female voice echoes throughout the temple: "I never chose the throne... I chose you." The princess's expression changes from fear to quiet understanding as tears roll down her cheeks. Scene 6 (25–30s) – Accepting Her Destiny The princess slowly places the crown back onto her own head willingly for the first time. A magnificent wave of golden energy bursts across the kingdom. Flowers bloom instantly across the fields, dark clouds disappear, castle banners rise proudly in the wind, and the entire kingdom shines with renewed life. Her simple traveler's cloak transforms into an elegant royal gown adorned with glowing gold embroidery. The final cinematic shot pulls back high above the castle as she stands confidently on the balcony, looking over the kingdom she finally accepts as her own. The screen fades to black with the words: "Destiny cannot be escaped... only accepted."
0:27

She thought she could walk away from the throne. But every time she rejected the crown... it found its way back. This 30-second fantasy story was created entirely with Seedance 2.0 on Thank You AI From the magical environments to the cinematic camera work, character consistency, and seamless visual effects, every scene brought this story to life exactly as I imagined. Would you accept the crown... or keep running? 👑 PROMPT: Scene 1 (0–5s) – Rejecting the Crown Early morning on the highest castle balcony overlooking a vast medieval kingdom. Golden sunrise bathes the kingdom in warm light. The princess stands alone, holding an ornate golden crown in both hands. Tears fill her eyes as she slowly removes it from her head. She looks down at the peaceful kingdom before whispering, "I never wanted this." With quiet determination, she throws the crown off the balcony. The camera follows the crown spinning through the air in dramatic slow motion before cutting away just before it reaches the ground. Scene 2 (5–10s) – Freedom at Last The princess has changed into a simple brown traveler’s cloak over her dress and quietly walks through a lively village marketplace, smiling naturally for the first time. She helps a young child pick up scattered apples and blends in with ordinary people. Suddenly, villagers begin looking upward in confusion. A warm golden glow appears behind her. She slowly turns around to discover the crown floating silently toward her through the air. Before she can react, it gently settles back onto her head. Her smile instantly disappears. Scene 3 (10–15s) – Trying to Escape Again Determined to be free, she runs deep into an enchanted forest filled with towering ancient trees and glowing flowers. She removes the crown once more and forcefully throws it into a sparkling magical river. The crown sinks beneath the crystal-clear water. She exhales in relief and begins walking away. Seconds later, the river erupts with brilliant golden light. The crown rises gracefully from the water, hovering through the forest before once again placing itself perfectly on her head. The surrounding animals quietly bow as she stands frozen in disbelief. Scene 4 (15–20s) – The Ancient Truth Inside an abandoned royal temple hidden beneath the forest, countless ancient portraits of former queens line the walls. Dust floats through beams of sunlight. As the princess walks past, every portrait magically comes to life. Each queen is shown removing and throwing away the exact same crown before eventually wearing it again. The final portrait remains blank until golden magic slowly paints the princess's own face onto the canvas. She stares in shock as the realization overwhelms her. Scene 5 (20–25s) – The Crown Speaks The temple suddenly fills with brilliant golden light. The crown gently lifts itself off her head and floats before her at eye level. Ancient glowing runes circle around it while the room trembles softly with magic. A calm, powerful female voice echoes throughout the temple: "I never chose the throne... I chose you." The princess's expression changes from fear to quiet understanding as tears roll down her cheeks. Scene 6 (25–30s) – Accepting Her Destiny The princess slowly places the crown back onto her own head willingly for the first time. A magnificent wave of golden energy bursts across the kingdom. Flowers bloom instantly across the fields, dark clouds disappear, castle banners rise proudly in the wind, and the entire kingdom shines with renewed life. Her simple traveler's cloak transforms into an elegant royal gown adorned with glowing gold embroidery. The final cinematic shot pulls back high above the castle as she stands confidently on the balcony, looking over the kingdom she finally accepts as her own. The screen fades to black with the words: "Destiny cannot be escaped... only accepted."

Soulful Ai

36,721 views • 7 days ago

Scaling campaigns overseas sounds like a creative problem. Honestly, it’s not. The real bottleneck is localization. As a product lead, I’ve lost too many weeks waiting for native voice actors, rebuilding region-specific edits, and manually fixing lip-sync issues that still looked slightly off in the final export. The worst part is that every new market turns into another production branch to maintain. That simply does not scale. So over the last few weeks, I started testing a few different AI localization workflows with our own ecommerce video ads to see which ones could actually survive real production conditions. Wizstar_official ended up being the one we kept coming back to. Not because it generated the flashiest demo. Because it was the first one that consistently held together once we pushed it into actual multi-market production. The Video Translation workflow supports 12 major languages, which already covers most global consumer markets we care about. But what stood out during testing was how natural the localization sounded. Not “translated”. Actually localized. The tone, pacing, and delivery felt native enough that most people on our team genuinely stopped noticing it was AI-generated after a few runs. More importantly, the video itself stays intact. Audio and visual timing remain aligned after translation, lip-sync holds even during side angles and faster speech, and multi-character scenes stay surprisingly stable instead of collapsing into mismatched cuts. That matters a lot more in production than benchmark style demos. We also tested it against a few other tools internally, and Wizstar consistently handled complex scenes better, especially when multiple speakers, product close-ups, and fast pacing were involved. The output needed significantly less cleanup before going live. Video Reference was another reason we kept using it. Being able to reuse existing high-performing ecommerce structures instead of rebuilding creative logic market by market saves an unreasonable amount of time. Seedance 2.0 also supports face input and multi-model orchestration, which noticeably improves character consistency and scene stability across longer sequences. After a few projects, Wizstar quietly became part of our workflow. We can now produce localized ecommerce creatives in minutes instead of rebuilding entire pipelines around every market. If you want to test it yourself: New users get free credits on signup. First subscription is $19 and includes a complimentary 30-second Ecommerce Agent workflow to test features like Product to Video. Let the tools handle the production overhead. The side-by-side comparison below shows one of our English masters translated into Spanish while keeping almost the exact same pacing and vibe intact. #Wizstar #AIVideo #GrowthHacking
0:43

Scaling campaigns overseas sounds like a creative problem. Honestly, it’s not. The real bottleneck is localization. As a product lead, I’ve lost too many weeks waiting for native voice actors, rebuilding region-specific edits, and manually fixing lip-sync issues that still looked slightly off in the final export. The worst part is that every new market turns into another production branch to maintain. That simply does not scale. So over the last few weeks, I started testing a few different AI localization workflows with our own ecommerce video ads to see which ones could actually survive real production conditions. Wizstar_official ended up being the one we kept coming back to. Not because it generated the flashiest demo. Because it was the first one that consistently held together once we pushed it into actual multi-market production. The Video Translation workflow supports 12 major languages, which already covers most global consumer markets we care about. But what stood out during testing was how natural the localization sounded. Not “translated”. Actually localized. The tone, pacing, and delivery felt native enough that most people on our team genuinely stopped noticing it was AI-generated after a few runs. More importantly, the video itself stays intact. Audio and visual timing remain aligned after translation, lip-sync holds even during side angles and faster speech, and multi-character scenes stay surprisingly stable instead of collapsing into mismatched cuts. That matters a lot more in production than benchmark style demos. We also tested it against a few other tools internally, and Wizstar consistently handled complex scenes better, especially when multiple speakers, product close-ups, and fast pacing were involved. The output needed significantly less cleanup before going live. Video Reference was another reason we kept using it. Being able to reuse existing high-performing ecommerce structures instead of rebuilding creative logic market by market saves an unreasonable amount of time. Seedance 2.0 also supports face input and multi-model orchestration, which noticeably improves character consistency and scene stability across longer sequences. After a few projects, Wizstar quietly became part of our workflow. We can now produce localized ecommerce creatives in minutes instead of rebuilding entire pipelines around every market. If you want to test it yourself: New users get free credits on signup. First subscription is $19 and includes a complimentary 30-second Ecommerce Agent workflow to test features like Product to Video. Let the tools handle the production overhead. The side-by-side comparison below shows one of our English masters translated into Spanish while keeping almost the exact same pacing and vibe intact. #Wizstar #AIVideo #GrowthHacking

Leo Reed

121,626 views • 1 month ago

🚨Candace Owens REACTS To Tyler Robinson's Hearing Today —Tyler's Lawyers Are Working Harder to Hide Evidence Than to Defend Him – And It Showed🧐 Candace said “we didn’t learn anything new except Tyler exists.” Respectfully, i disagree, i live streamed the whole thing and we learned THREE MASSIVE things that just shredded the official narrative even more: 1⃣Tyler’s family DID NOT abandon him, Mom, dad, and brother were sitting in the courtroom the entire time — until the judge kicked them out for the “secret” portion. Every Jack Posobiec -tier shill screaming “his parents said goodbye forever” just got caught in a straight-up lie. 2⃣Tyler has a SEVERE lazy eye (strabismus)We had close-up HD footage all day. His right eye drifts hard. Tell me again how a kid with that level of vision impairment perfectly head-shots Charlie Kirk from 300+ yards with “grandpappy’s 30-06” on the first try. I’ll wait. 3⃣Tyler’s own defense team is fighting HARDER to hide evidence than to defend himThey threw an absolute tantrum the second a cameraman accidentally panned wide (maybe caught shackles for half a second). Immediate motion: BAN ALL CAMERAS FOREVER. Then they begged to seal every future hearing and block media from even arguing for transparency. The judge shut them down… but the mask slipped. They’re terrified of sunlight. This wasn’t a hearing. This was a live demonstration of how desperate the state is to memory-hole this case. Tyler’s lawyers are colluding with the prosecution to operate in total darkness — the exact opposite of what a real defense team would do when their client is innocent or a patsy. Independent media is now Tyler Robinson’s only real defense. We’re the reason this won’t disappear into a black box like Epstein’s “suicide.” Drop a 👁️ if you watched the stream and saw the same thing I did. RT so the public sees the truth before the state seals it forever. FOLLOW Candace Owens and go watch her FULL podcast from today. I'll drop the link in the comments below. Ful livestream still up — watch before they try to take it down 👇
2:21

🚨Candace Owens REACTS To Tyler Robinson's Hearing Today —Tyler's Lawyers Are Working Harder to Hide Evidence Than to Defend Him – And It Showed🧐 Candace said “we didn’t learn anything new except Tyler exists.” Respectfully, i disagree, i live streamed the whole thing and we learned THREE MASSIVE things that just shredded the official narrative even more: 1⃣Tyler’s family DID NOT abandon him, Mom, dad, and brother were sitting in the courtroom the entire time — until the judge kicked them out for the “secret” portion. Every Jack Posobiec -tier shill screaming “his parents said goodbye forever” just got caught in a straight-up lie. 2⃣Tyler has a SEVERE lazy eye (strabismus)We had close-up HD footage all day. His right eye drifts hard. Tell me again how a kid with that level of vision impairment perfectly head-shots Charlie Kirk from 300+ yards with “grandpappy’s 30-06” on the first try. I’ll wait. 3⃣Tyler’s own defense team is fighting HARDER to hide evidence than to defend himThey threw an absolute tantrum the second a cameraman accidentally panned wide (maybe caught shackles for half a second). Immediate motion: BAN ALL CAMERAS FOREVER. Then they begged to seal every future hearing and block media from even arguing for transparency. The judge shut them down… but the mask slipped. They’re terrified of sunlight. This wasn’t a hearing. This was a live demonstration of how desperate the state is to memory-hole this case. Tyler’s lawyers are colluding with the prosecution to operate in total darkness — the exact opposite of what a real defense team would do when their client is innocent or a patsy. Independent media is now Tyler Robinson’s only real defense. We’re the reason this won’t disappear into a black box like Epstein’s “suicide.” Drop a 👁️ if you watched the stream and saw the same thing I did. RT so the public sees the truth before the state seals it forever. FOLLOW Candace Owens and go watch her FULL podcast from today. I'll drop the link in the comments below. Ful livestream still up — watch before they try to take it down 👇

Project Constitution

119,165 views • 7 months ago

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.
2:22:35

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

52,645 views • 3 months ago

🚨 BREAKING: The Tyler Robinson Case Is About To Be DISMISSED Because Of TPUSA And Their PAID Shills Tainting The Jury— The Defense Just Filed A SCATHING Motion And They Named Names! 😲🔥 If you want a masterclass in how to completely destroy your own case, look no further than the absolute circus surrounding the Tyler Robinson trial. The defense has just filed a SCATHING new motion (dated March 30, 2026) demanding the judge block cameras from the courtroom yet AGAIN. And when I say scathing, I mean they took a flamethrower to the government, the media, TPUSA, and the massive army of "shill influencers" who are acting as judge, jury, and executioner before a single piece of evidence has been presented in court. Here is what the mainstream media isn't telling you about this filing: The judge in this case placed a strict gag order designed to prevent government officials, lawyers, and key witnesses from speaking out and declaring Tyler Robinson’s guilt prior to trial. Yet, what is TPUSA doing? Erika Kirk and Blake Neff have been out there routinely running their mouths, violating the spirit—if not the letter—of this gag order. They are relentlessly pushing the approved government narrative that Robinson is the "leftist who killed Charlie Kirk." 📜 The "Honorable Mentions" Roll Call The defense motion doesn't just blast the government; it literally names the specific influencers and X accounts that are parroting these bullshit lines and poisoning the public well. According to the defense, these accounts are actively destroying Robinson’s right to a fair trial. The motion gives "honorable mention" to an entire list of influencers for running a coordinated conviction-by-tweet campaign: ⚖️ The Ultimate Irony: They Are Handing Him a Dismissal The defense is furious that this mob is declaring their client guilty and pushing the "crazed leftist assassin" narrative. But here is the massive irony that Erika Kirk, TPUSA, and these influencers are entirely too blind to see: By doing this, they are actively tainting the jury pool. In our justice system, if a jury pool is so poisoned by media and influencer interference that a fair trial becomes impossible, the defense has grounds for a mistrial, an appeal, or an outright dismissal of all charges. The very people screaming the loudest declaring Tyler's guilt are giving his defense team the exact ammunition they need to get him off the hook completely. It is a catastrophic level of legal incompetence. They don't want a trial. They want a reality TV show. And their coordinated psyop to convict this guy in the court of public opinion might just be the reason the actual court throws the whole case in the trash. Read the FULL FILING BELOW (pause to read). Look at the names. They are playing a very dangerous game. 👇
9:52

🚨 BREAKING: The Tyler Robinson Case Is About To Be DISMISSED Because Of TPUSA And Their PAID Shills Tainting The Jury— The Defense Just Filed A SCATHING Motion And They Named Names! 😲🔥 If you want a masterclass in how to completely destroy your own case, look no further than the absolute circus surrounding the Tyler Robinson trial. The defense has just filed a SCATHING new motion (dated March 30, 2026) demanding the judge block cameras from the courtroom yet AGAIN. And when I say scathing, I mean they took a flamethrower to the government, the media, TPUSA, and the massive army of "shill influencers" who are acting as judge, jury, and executioner before a single piece of evidence has been presented in court. Here is what the mainstream media isn't telling you about this filing: The judge in this case placed a strict gag order designed to prevent government officials, lawyers, and key witnesses from speaking out and declaring Tyler Robinson’s guilt prior to trial. Yet, what is TPUSA doing? Erika Kirk and Blake Neff have been out there routinely running their mouths, violating the spirit—if not the letter—of this gag order. They are relentlessly pushing the approved government narrative that Robinson is the "leftist who killed Charlie Kirk." 📜 The "Honorable Mentions" Roll Call The defense motion doesn't just blast the government; it literally names the specific influencers and X accounts that are parroting these bullshit lines and poisoning the public well. According to the defense, these accounts are actively destroying Robinson’s right to a fair trial. The motion gives "honorable mention" to an entire list of influencers for running a coordinated conviction-by-tweet campaign: ⚖️ The Ultimate Irony: They Are Handing Him a Dismissal The defense is furious that this mob is declaring their client guilty and pushing the "crazed leftist assassin" narrative. But here is the massive irony that Erika Kirk, TPUSA, and these influencers are entirely too blind to see: By doing this, they are actively tainting the jury pool. In our justice system, if a jury pool is so poisoned by media and influencer interference that a fair trial becomes impossible, the defense has grounds for a mistrial, an appeal, or an outright dismissal of all charges. The very people screaming the loudest declaring Tyler's guilt are giving his defense team the exact ammunition they need to get him off the hook completely. It is a catastrophic level of legal incompetence. They don't want a trial. They want a reality TV show. And their coordinated psyop to convict this guy in the court of public opinion might just be the reason the actual court throws the whole case in the trash. Read the FULL FILING BELOW (pause to read). Look at the names. They are playing a very dangerous game. 👇

Project Constitution

250,460 views • 3 months ago

🚨 BOMBSHELL: Stock Photo PROVES The FBI FAKED Their Entire Case Against Tyler Robinson- It Was Physically IMPOSSIBLE for Tyler's Dad to Recognize the Gun on TV.🧐🍴 Are we really just going to sit around and ignore the glaring reality staring us right in the face? Because I'm not. The FBI got sloppy, and we just caught them in a massive, undeniable lie that proves they have faked this entire case against Tyler Robinson. There is exactly one indisputable fact buried in the timeline, and this single detail completely obliterates the state's manufactured narrative. It proves, beyond a shadow of a doubt, that the alleged text messages are 100% fabricated, and it proves the official story about Tyler's parents recognizing the murder weapon and turning him in is an absolute, manufactured lie. TPUSA and the mainstream media have been aggressively pushing a very specific story: They claim Tyler’s father, Matt Robinson, was watching the news, saw a picture of the rifle the Feds released, instantly recognized it as their "very unique" family heirloom, and began frantically texting and calling Tyler to prove he hadn't used the weapon to shoot Charlie Kirk. To back up this Hollywood-style narrative, the Feds leaked a highly convenient transcript of a supposed text exchange between Tyler and his furry boyfriend, Lance Twiggs. THE FAKE TEXT MESSAGES: According to the FBI's leaked transcript, Tyler allegedly texted: "My dad wants photos of the rifle. He says Grandpa wants to know who has what. The feds released a photo of the rifle, and it is very unique. He's calling me right now. I'm not answering." Read that text again carefully. Tyler supposedly wrote: "The feds released a photo of the rifle, and it is very unique." There is just one massive, glaring, impossible problem with that text message: The Feds NEVER released a picture of the actual rifle. The weapon allegedly recovered at the scene was an antique, highly distinct World War 1-era Mauser. But the image actually released by the media during the manhunt was a generic, random STOCK PHOTO of a standard bolt-action .30-06. It looked like five or six other generic rifles on the market. There was absolutely NOTHING "unique" about the photo shown on the news, and it looked nothing like the actual Mauser. Let’s apply basic logic. How could Matt Robinson sit in his living room, look at a generic stock photo of a completely different gun, and instantly recognize it as his family's highly unique, antique Mauser? HE COULDN'T. It is physically impossible. That event never happened. And if that event never happened, then Tyler Robinson could never have sent a text message reacting to it. This proves that the leaked text messages are completely fabricated. No 20-something kid writes like a bad Hollywood script. The Feds, likely using ChatGPT or a sloppy operative, manufactured this entire text exchange to FRAME Tyler and create a fake motive for his surrender. The official story is dead. The texts are fake. The "his dad turned him in" narrative is a manufactured lie. This is a STATE-SPONSORED frame job, and the syndicate is officially out of cards to play. 🃏🗑️ FOLLOW 🔥Jesse ON FIRE🔥 and go watch his FULL video linked below.👇
1:45

🚨 BOMBSHELL: Stock Photo PROVES The FBI FAKED Their Entire Case Against Tyler Robinson- It Was Physically IMPOSSIBLE for Tyler's Dad to Recognize the Gun on TV.🧐🍴 Are we really just going to sit around and ignore the glaring reality staring us right in the face? Because I'm not. The FBI got sloppy, and we just caught them in a massive, undeniable lie that proves they have faked this entire case against Tyler Robinson. There is exactly one indisputable fact buried in the timeline, and this single detail completely obliterates the state's manufactured narrative. It proves, beyond a shadow of a doubt, that the alleged text messages are 100% fabricated, and it proves the official story about Tyler's parents recognizing the murder weapon and turning him in is an absolute, manufactured lie. TPUSA and the mainstream media have been aggressively pushing a very specific story: They claim Tyler’s father, Matt Robinson, was watching the news, saw a picture of the rifle the Feds released, instantly recognized it as their "very unique" family heirloom, and began frantically texting and calling Tyler to prove he hadn't used the weapon to shoot Charlie Kirk. To back up this Hollywood-style narrative, the Feds leaked a highly convenient transcript of a supposed text exchange between Tyler and his furry boyfriend, Lance Twiggs. THE FAKE TEXT MESSAGES: According to the FBI's leaked transcript, Tyler allegedly texted: "My dad wants photos of the rifle. He says Grandpa wants to know who has what. The feds released a photo of the rifle, and it is very unique. He's calling me right now. I'm not answering." Read that text again carefully. Tyler supposedly wrote: "The feds released a photo of the rifle, and it is very unique." There is just one massive, glaring, impossible problem with that text message: The Feds NEVER released a picture of the actual rifle. The weapon allegedly recovered at the scene was an antique, highly distinct World War 1-era Mauser. But the image actually released by the media during the manhunt was a generic, random STOCK PHOTO of a standard bolt-action .30-06. It looked like five or six other generic rifles on the market. There was absolutely NOTHING "unique" about the photo shown on the news, and it looked nothing like the actual Mauser. Let’s apply basic logic. How could Matt Robinson sit in his living room, look at a generic stock photo of a completely different gun, and instantly recognize it as his family's highly unique, antique Mauser? HE COULDN'T. It is physically impossible. That event never happened. And if that event never happened, then Tyler Robinson could never have sent a text message reacting to it. This proves that the leaked text messages are completely fabricated. No 20-something kid writes like a bad Hollywood script. The Feds, likely using ChatGPT or a sloppy operative, manufactured this entire text exchange to FRAME Tyler and create a fake motive for his surrender. The official story is dead. The texts are fake. The "his dad turned him in" narrative is a manufactured lie. This is a STATE-SPONSORED frame job, and the syndicate is officially out of cards to play. 🃏🗑️ FOLLOW 🔥Jesse ON FIRE🔥 and go watch his FULL video linked below.👇

Project Constitution

156,574 views • 3 months ago

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.
18:53

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,075 views • 3 months ago

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.
5:54:41

CANCEL Your Weekend Plans and Learn Vibe Coding Today, Start Making $10,000/Month Building Apps for People. $0 in Coding Experience. I made 5 AI Trading Bots & Apps Built in 6 Hours. Each One Worth $3,000-$15,000 to Clients. You Spent $500 on a Bootcamp and Still Can't Deploy a Landing Page. That's not the bootcamp's fault. That's you. People with zero coding skills are building full apps with payments, databases, and authentication using AI. Charging clients $5,000-$10,000 per project. Finishing in one afternoon. You're still Googling "should I learn Python or JavaScript first." This attached video is a goldmine. 6 hours. 5 real apps. From complete beginner to deploying revenue-generating products. One video. Free. Save it. Watch it this weekend. Not next weekend. Today. Now let me break down exactly what's inside and why you can't afford to ignore this. Save this post. You'll hate yourself if you lose it. ↓ Let's talk about why you still can't code... You bought the Udemy course. $12.99. Watched 3 lectures. Got confused. Told yourself you'd continue tomorrow. That was 8 months ago. You bought another course. $49.99. This one had better reviews. Watched the intro. Bookmarked the rest. Never opened it again. You signed up for a bootcamp. $5,000. Dropped out at week 4 because "life got busy." Life didn't get busy. You got scared. Three years. Hundreds of dollars. Multiple courses. Zero apps built. Zero projects deployed. Zero revenue generated. And now someone with zero coding experience is building full apps in hours using AI tools you haven't even tried. You're not falling behind slowly. You're falling behind at full speed. Save this post right now. This is the course that makes every other coding course you bought irrelevant. Follow Himanshu Kumar so you don't miss the breakdown. ↓ What is vibe coding and why should you care? Traditional coding: Learn syntax for 6 months. Build a to-do app. Feel proud. Realize nobody will pay for a to-do app. Give up. Vibe coding: Describe what you want to build. AI builds it. You guide, adjust, deploy. People pay for it. You're not writing code line by line. You're directing an AI agent that writes code for you. Think of it like this: Traditional coding = you're the construction worker. Vibe coding = you're the architect. The architect makes more money. The architect doesn't carry bricks. The architect doesn't need to know how to pour concrete. The architect needs to know what to build and why. That's vibe coding. And while you've been debating whether to learn Python or JavaScript first, people are skipping both and building apps that generate revenue. With zero coding knowledge. This isn't the future. This is right now. Save this post and follow Himanshu Kumar for more vibe coding breakdowns that actually make you money. ↓ What this 6-hour course covers. This isn't some 20-minute tutorial that shows you how to make a button change color. This is 6 hours. 5 complete apps. Real software engineering. Real deployment. Real money-making potential. Here's what you'll build: > Portfolio website - deployed live on Netlify > Full-stack client dashboard - with database and auth > Lead generation app - with API integrations > Thumbnail generator - with payment integration via Stripe > Splinter - a full SaaS product with pricing and marketing Not toy projects. Not "follow along and never use again." Actual apps that people pay for. Built with Gemini 3.1 Pro, Antigravity, Supabase, Next.js, Vite, and more. You know how many people charge $5,000+ to build a single one of these apps for a client? You'll be able to build all 5 by the end of this weekend. You can't afford to scroll past this. Bookmark this post. Follow Himanshu Kumar because I'm breaking down every tool in this stack separately. ↓ The tools you'll master. Gemini 3.1 Pro: Google's most powerful AI model. You'll use it to generate entire codebases. Not snippets. Entire apps. Antigravity: The AI coding environment that makes vibe coding actually work. Agent chat. MCP servers. Voice dictation. It's not VS Code with a chatbot bolted on. It's built from the ground up for AI-first development. Supabase: Your backend. Database. Authentication. All set up in minutes. Not weeks of configuration. Next.js + Vite: Modern frameworks that make your apps fast, scalable, and professional. Stripe: Payment integration. So your apps can actually charge people money. You know, the whole point. Claude Code: Yes, Claude Code is covered too. Because the best developers in 2026 don't use one AI tool. They use all of them. While you're still trying to decide which AI tool is "the best one," smart people are using all of them together and making money from every angle. Stop debating tools. Start using them. Save this post and follow Himanshu Kumar for deep dives into each of these tools. ↓ What you'll actually learn beyond just "building apps." This course doesn't just teach you to copy and paste prompts. You'll learn real software engineering: > Hosting and deployment > Modern software design patterns > Languages and frameworks > Version control and GitHub > Programming with AI agents and agent teams > Database design (SQL vs NoSQL) > Security audits > API integration > Payment processing This is everything a $15,000 bootcamp teaches. In 6 hours. For free. On YouTube. Your friend who spent $15K on a bootcamp is going to be really upset when you build better apps than them after watching one YouTube video this weekend. Don't tell them about this course. Or do. Their reaction will be priceless. This is a $15,000 education for $0. Save this post before it gets buried. Follow Himanshu Kumar for more free resources that make paid courses look like scams. ↓ The guy teaching this actually makes money. Not "makes money selling courses about making money." Actually makes money. Nick built automated businesses with Make . Most notably 1SecondCopy, a content company that hit 7 figures. Seven figures. From automation. He's not teaching theory. He's showing you what real systems that generate real revenue look like. 90% of coding teachers on YouTube have never shipped a product that made $1. They teach coding. They don't use coding to make money. This guy does both. That's why this course is different. You've been learning from people who teach for a living. Start learning from people who build for a living. Save this post. Follow Himanshu Kumar for more content from builders, not lecturers. ↓ Let me tell you what's really happening while you "think about learning to code." Every week that passes, AI coding tools get better. Every week that passes, more people learn vibe coding. Every week that passes, the market gets more competitive. Right now, vibe coding is still early. Not many people know how to do it well. Clients are desperate for someone who can build apps fast. $3,000 for a landing page with payments. $5,000 for a SaaS MVP. $10,000 for a full client dashboard. These are real prices people are charging for apps they built in a single day using the exact tools in this course. But this window won't last forever. In 6 months, everyone will know how to vibe code. In 12 months, it'll be a basic requirement. In 24 months, not knowing this will be like not knowing how to use email in 2010. You're either early or you're irrelevant. Right now you can still be early. But not if you spend this weekend on Netflix. The window is closing. Every weekend you waste is a weekend someone else uses to get ahead of you. Save this post. Follow Himanshu Kumar before this opportunity becomes obvious to everyone. ↓ The 5 apps you'll build and what they're actually worth. App 1: Portfolio Website. What clients pay for this: $500-$2,000. Time to build with vibe coding: 30 minutes. App 2: Client Dashboard. What clients pay for this: $5,000-$15,000. Time to build with vibe coding: 2-3 hours. App 3: Lead Generation Tool. What clients pay for this: $3,000-$8,000. Time to build with vibe coding: 1-2 hours. App 4: Thumbnail Generator with Payments. What clients pay for this: $2,000-$5,000. Or sell it as a SaaS for recurring revenue. Time to build: 1-2 hours. App 5: Splinter (Full SaaS Product). What clients pay for this: $10,000-$25,000. Or launch it yourself for monthly recurring revenue. Time to build: 2-3 hours. Total value of apps you can build after this course: $20,000-$55,000. Total cost of this course: $0. Total time investment: one weekend. You spend more than one weekend deciding which Netflix show to start next. At least this weekend would pay you back. Read those numbers again. Save this post. Follow Himanshu Kumar because I'll be breaking down how to sell each of these apps as a service. ↓ Here's the business model nobody's talking about. Learn vibe coding this weekend. Build 5 apps. Pick the one you're best at. Offer it as a service. "I build professional SaaS dashboards for businesses using AI. Faster than agencies. Fraction of the cost. $5,000 per project." 2 projects per month = $10,000/month. Working maybe 20 hours total. While you're applying for jobs that pay $4,000/month and require 5 years of experience you don't have, someone who watched this course last weekend just landed their second $5,000 client. No degree. No portfolio. No 5 years of experience. Just the ability to build what people need faster than anyone else. That's the entire business model. Learn fast. Build fast. Charge accordingly. Stop applying for jobs. Start creating them. Save this post. Follow Himanshu Kumar for the exact outreach scripts to land your first vibe coding client. ↓ Why you won't watch this course. Because it's 6 hours. "6 hours?? That's too long." You binged an entire season of a show last weekend in 8 hours. You scrolled Twitter for 4 hours yesterday. You spent 3 hours watching YouTube shorts that you don't even remember. But 6 hours to learn a skill that could make you $10,000/month? "I don't have time for that." You have time. You just don't have discipline. And that's the actual reason you're broke. Not the economy. Not the market. Not your circumstances. Your inability to sit down for 6 hours and learn something that changes your life. Everything else is a story you tell yourself to feel better about doing nothing. That's the uncomfortable truth. Save this post so it stares at you every time you open your bookmarks. Follow Himanshu Kumar because I'll keep reminding you until you actually do something. ↓ What happens this weekend determines your next year. Path A: Watch the course Saturday. Build your first app Sunday. Start offering services Monday. Land first client within 2 weeks. $5,000-$10,000/month within 60 days. Path B: Sleep in Saturday. Brunch Sunday. Netflix Sunday night. Monday morning alarm goes off. Back to the same job. Same salary. Same frustration. Same "I'll start next weekend." 52 weekends in a year. How many have you already wasted? Path A costs you one weekend. Path B costs you your entire future. Same video. Same information. Same 6 hours. Two completely different lives. ↓ Full 6-hour course attached. 5 real apps. Real deployment. Real revenue potential. From the guy who built a 7-figure automated business. Not theory. Not motivation. Actual hands-on building. The course is free. The tools are free. The knowledge is right here. The only thing that costs money is your decision to do nothing. And that cost compounds every single day. Follow Himanshu Kumar for more breakdowns that turn free YouTube videos into $10,000/month skill sets. Save this post. Watch the video. Build something this weekend that your Monday self will thank you for. Or don't. And wonder next year why nothing changed.

Himanshu Kumar

39,379 views • 3 months ago