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In 2020 I entered a summer shredding contest. This was my gameplan to go from 18% body fat to 10% or less body fat in 12 weeks: (Applicable no matter where you’re starting, bookmark this) 1. Eat bodyweight (in lbs) x 10-12 calories daily (more on higher activity days, less on lower) 2. Eat 1g of protein per pound of bodyweight (if you’re starting more overweight you can aim for goal bodyweight) 3. 10K+ steps daily and progressively more cardio sessions (0 - month 1, 2-3x45 minutes/wk month 2, 5-6x45 minutes month 3) 4. Lifted 5x/week on a push, pull, legs, rest, upper, lower, rest split with a focus on: - every set ending near failure - fighting to get stronger week by week - managing volume (less volume towards end of the cut for recovery) 5. Limited alcohol to only a few drinks/month 6. Slept 7 hours/night minimum 7. 5g creatine daily 8. Drank around a .75-1 gallon of water + electrolytes daily 9. Refeed days (bodyweight x 15 calorie goal), 1x/wk in month 3 The framework is really this simple to drop body fat. Adjustments will need to be made based on biofeedback & weight data. If you aren’t losing at a rate of 0.5-1% bodyweight per week, you must: - increase your average weekly movement (steps or cardio minutes) - and/or decrease your average weekly calorie intake. Hope this helps guide you to a leaner version of yourself. 🤝

In 2020 I entered a summer shredding contest. This was my gameplan to go from 18% body fat to 10% or less body fat in 12 weeks: (Applicable no matter where you’re starting, bookmark this) 1. Eat bodyweight (in lbs) x 10-12 calories daily (more on higher activity days, less on lower) 2. Eat 1g of protein per pound of bodyweight (if you’re starting more overweight you can aim for goal bodyweight) 3. 10K+ steps daily and progressively more cardio sessions (0 - month 1, 2-3x45 minutes/wk month 2, 5-6x45 minutes month 3) 4. Lifted 5x/week on a push, pull, legs, rest, upper, lower, rest split with a focus on: - every set ending near failure - fighting to get stronger week by week - managing volume (less volume towards end of the cut for recovery) 5. Limited alcohol to only a few drinks/month 6. Slept 7 hours/night minimum 7. 5g creatine daily 8. Drank around a .75-1 gallon of water + electrolytes daily 9. Refeed days (bodyweight x 15 calorie goal), 1x/wk in month 3 The framework is really this simple to drop body fat. Adjustments will need to be made based on biofeedback & weight data. If you aren’t losing at a rate of 0.5-1% bodyweight per week, you must: - increase your average weekly movement (steps or cardio minutes) - and/or decrease your average weekly calorie intake. Hope this helps guide you to a leaner version of yourself. 🤝

Chace Chambers

210,104 просмотров • 10 месяцев назад

🚀3 PATHS TO $100 ASST🚀 ASST starts at $13.00. Reaching $100 requires a 7.69× total stock multiple. All three scenarios use a 24-month horizon. SATA issuance is expressed as a monthly average, meaning ASST could issue opportunistically rather than raising the exact same amount every month. PATH 1: BITCOIN-LED Average new SATA issuance: $0 per month BTC: $66.3K → $300K = 4.52× CEBE: 13,312 → 20,286 sats/share = 1.52× CEBE mNAV: 1.47× → 1.64× = 1.12× 4.52 × 1.52 × 1.12 = 7.69× Implied ASST price: $100 ASST issues no additional SATA. Its existing $782.95M preferred claim simply becomes much smaller when measured in BTC at $300K. PATH 2: BALANCED Average SATA issuance: $100M per month That means $2.40B of cumulative SATA issuance over 24 months, bringing the preferred balance to approximately $3.18B. At $200K Bitcoin: BTC holdings: 40,251 Senior claims: 14,912 BTC CEBE attributable to common: 25,339 BTC Diluted shares: 95.12M CEBE: 26,639 sats/share CEBE mNAV: 1.47× → 1.88× Return decomposition: BTC appreciation: 3.02× CEBE sats/share: 2.00× mNAV rerating: 1.27× 3.02 × 2.00 × 1.27 = 7.69× Implied ASST price: $100 This path cuts the projected SATA issuance rate by more than half. The tradeoff is that ASST must rerate from 1.47× to approximately 1.88× CEBE mNAV. PATH 3: SATA PLUS MULTIPLE EXPANSION Average SATA issuance: $150M per month That means $3.60B of cumulative SATA issuance over 24 months, bringing the preferred balance to approximately $4.38B. At $150K Bitcoin: BTC holdings: 56,162 Senior claims: 27,883 BTC CEBE attributable to common: 28,279 BTC Diluted shares: 99.02M CEBE: 28,558 sats/share CEBE mNAV: 1.47× → 2.33× Return decomposition: BTC appreciation: 2.26× CEBE sats/share: 2.15× mNAV rerating: 1.59× 2.26 × 2.15 × 1.59 = 7.69× Implied ASST price: $100 This is the lowest-Bitcoin path, but it demands the highest valuation. With BTC reaching only $150K, the market must eventually price ASST at approximately 2.33× CEBE mNAV. Reducing SATA issuance does not eliminate the path to $100. It changes which engine must do more work. Path one depends primarily on Bitcoin. Path two balances Bitcoin, $100M of average monthly SATA issuance, and moderate mNAV expansion. Path three relies on $150M of average monthly SATA issuance and a much larger valuation rerating. Every path reaches the same destination. The burden simply moves between Bitcoin appreciation, CEBE accretion, and mNAV expansion. Educational modeling only. Not investment advice.

🚀3 PATHS TO $100 ASST🚀 ASST starts at $13.00. Reaching $100 requires a 7.69× total stock multiple. All three scenarios use a 24-month horizon. SATA issuance is expressed as a monthly average, meaning ASST could issue opportunistically rather than raising the exact same amount every month. PATH 1: BITCOIN-LED Average new SATA issuance: $0 per month BTC: $66.3K → $300K = 4.52× CEBE: 13,312 → 20,286 sats/share = 1.52× CEBE mNAV: 1.47× → 1.64× = 1.12× 4.52 × 1.52 × 1.12 = 7.69× Implied ASST price: $100 ASST issues no additional SATA. Its existing $782.95M preferred claim simply becomes much smaller when measured in BTC at $300K. PATH 2: BALANCED Average SATA issuance: $100M per month That means $2.40B of cumulative SATA issuance over 24 months, bringing the preferred balance to approximately $3.18B. At $200K Bitcoin: BTC holdings: 40,251 Senior claims: 14,912 BTC CEBE attributable to common: 25,339 BTC Diluted shares: 95.12M CEBE: 26,639 sats/share CEBE mNAV: 1.47× → 1.88× Return decomposition: BTC appreciation: 3.02× CEBE sats/share: 2.00× mNAV rerating: 1.27× 3.02 × 2.00 × 1.27 = 7.69× Implied ASST price: $100 This path cuts the projected SATA issuance rate by more than half. The tradeoff is that ASST must rerate from 1.47× to approximately 1.88× CEBE mNAV. PATH 3: SATA PLUS MULTIPLE EXPANSION Average SATA issuance: $150M per month That means $3.60B of cumulative SATA issuance over 24 months, bringing the preferred balance to approximately $4.38B. At $150K Bitcoin: BTC holdings: 56,162 Senior claims: 27,883 BTC CEBE attributable to common: 28,279 BTC Diluted shares: 99.02M CEBE: 28,558 sats/share CEBE mNAV: 1.47× → 2.33× Return decomposition: BTC appreciation: 2.26× CEBE sats/share: 2.15× mNAV rerating: 1.59× 2.26 × 2.15 × 1.59 = 7.69× Implied ASST price: $100 This is the lowest-Bitcoin path, but it demands the highest valuation. With BTC reaching only $150K, the market must eventually price ASST at approximately 2.33× CEBE mNAV. Reducing SATA issuance does not eliminate the path to $100. It changes which engine must do more work. Path one depends primarily on Bitcoin. Path two balances Bitcoin, $100M of average monthly SATA issuance, and moderate mNAV expansion. Path three relies on $150M of average monthly SATA issuance and a much larger valuation rerating. Every path reaches the same destination. The burden simply moves between Bitcoin appreciation, CEBE accretion, and mNAV expansion. Educational modeling only. Not investment advice.

Adam Livingston

12,608 просмотров • 2 месяцев назад

Titans chose to kickoff into the end zone and give the Eagles a free start at the 35 yard line with 1:56 left and no timeouts. Of course, every yard and second ended up being extremely valuable as they scored a TD with very little time remaining. Through 2 weeks, Robert Saleh and the Titans have kicked off into the end zone on 3 of 6 non-onside kickoffs (50%). No other team is above 33.3%, and the league average is 13.3%. Kickoffs landing between the 1 and 5 yard line result in an average starting field position of the 29.5 yard line. The median return takes 6 seconds off the game clock. 28.7% of the time, a kickoff in that range results in the opponent starting at their 25 yard line or in. These are the little details that can be the difference in the outcome of a game.

Titans chose to kickoff into the end zone and give the Eagles a free start at the 35 yard line with 1:56 left and no timeouts. Of course, every yard and second ended up being extremely valuable as they scored a TD with very little time remaining. Through 2 weeks, Robert Saleh and the Titans have kicked off into the end zone on 3 of 6 non-onside kickoffs (50%). No other team is above 33.3%, and the league average is 13.3%. Kickoffs landing between the 1 and 5 yard line result in an average starting field position of the 29.5 yard line. The median return takes 6 seconds off the game clock. 28.7% of the time, a kickoff in that range results in the opponent starting at their 25 yard line or in. These are the little details that can be the difference in the outcome of a game.

Ryan Paganetti

105,336 просмотров • 13 дней назад

If I was FORCED to make $20k/month with tiktok slideshows in 30 days, starting from 0, here's exactly what i would do in 20 steps: Days 1-3: Account infrastructure 1. Sign up to glitchy, pick walmart gift card rewards offer (2 min) 2. Buy 10 aged tiktok accounts off accsmarket ($15-20 total) 3. Get a US VPN running on every device — non-negotiable for US traffic targeting 4. Set up 1 phone per 3 accounts max (device cluster rule) 5. Warm all 10 accounts 72 hrs — scroll fyp 30 min/day, no posting Days 4-10: Content machine 6. Fresh research account locked to ur niche — tiktok feeds u the winners daily 7. Screenshot 50 viral slideshow frames directly from ur FYP 8. Claude writes 100 hook variations against proven patterns in 2 min 9. Gemini modifies images — "add crying face" / "make her shocked" 10. Build slideshows INSIDE the tiktok editor — adding text natively lets the algo read ur content and push it to the right ppl Days 11-20: Scale what works 11. Post 2-3 slideshows per account per day = 20-30 posts daily 12. Seed 5 comments per post within the first 15 min from spare accounts to spike engagement velocity 13. Kill any post under 500 views at 24hrs — no emotional attachment 14. Any post over 10k views = generate 20 unique variations and roll them out across every account 15. Run every variation through ffmpeg + spoof the metadata so tiktok reads each upload as fresh content Days 21-30: Automate + compound 16. Hire 2 filipino VAs at $5/hr to take over posting + comment seeding (~$400/mo) 17. Reinvest week 2 profits into 5 more aged accounts — now running 15+ 18. Build a funnelish landing page w fake testimonials above the fold to warm the click before they hit the offer 19. Cloudflare hosting so the page loads in under a second on mobile 20. By day 30 ur running 15 accounts, 30+ posts daily, fully systemized The realistic math: → 900 posts in 30 days → 3-4 of them go mega viral (3-4M views each) → At $6-8k per 1M views, one viral post = $20-30k → 3 mega virals × $25k avg = $75k+ The other 896 posts that didnt mega viral still produce mid-tier hits and steady traffic on top of that. Realistic month 1 as a beginner: $1-3k if u execute well. $5k if u get lucky with an early winning angle. Most ppl who treat it as a serious project and post daily see their first real month between months 2-3. Hooks written by AI. Images modified by AI. Posting handled by VAs. Comments seeded by VAs. Set it up once. Let it print. Comment "BLUEPRINT" and i'll send u my full tiktok slideshow blueprint. (must be following + repost)

If I was FORCED to make $20k/month with tiktok slideshows in 30 days, starting from 0, here's exactly what i would do in 20 steps: Days 1-3: Account infrastructure 1. Sign up to glitchy, pick walmart gift card rewards offer (2 min) 2. Buy 10 aged tiktok accounts off accsmarket ($15-20 total) 3. Get a US VPN running on every device — non-negotiable for US traffic targeting 4. Set up 1 phone per 3 accounts max (device cluster rule) 5. Warm all 10 accounts 72 hrs — scroll fyp 30 min/day, no posting Days 4-10: Content machine 6. Fresh research account locked to ur niche — tiktok feeds u the winners daily 7. Screenshot 50 viral slideshow frames directly from ur FYP 8. Claude writes 100 hook variations against proven patterns in 2 min 9. Gemini modifies images — "add crying face" / "make her shocked" 10. Build slideshows INSIDE the tiktok editor — adding text natively lets the algo read ur content and push it to the right ppl Days 11-20: Scale what works 11. Post 2-3 slideshows per account per day = 20-30 posts daily 12. Seed 5 comments per post within the first 15 min from spare accounts to spike engagement velocity 13. Kill any post under 500 views at 24hrs — no emotional attachment 14. Any post over 10k views = generate 20 unique variations and roll them out across every account 15. Run every variation through ffmpeg + spoof the metadata so tiktok reads each upload as fresh content Days 21-30: Automate + compound 16. Hire 2 filipino VAs at $5/hr to take over posting + comment seeding (~$400/mo) 17. Reinvest week 2 profits into 5 more aged accounts — now running 15+ 18. Build a funnelish landing page w fake testimonials above the fold to warm the click before they hit the offer 19. Cloudflare hosting so the page loads in under a second on mobile 20. By day 30 ur running 15 accounts, 30+ posts daily, fully systemized The realistic math: → 900 posts in 30 days → 3-4 of them go mega viral (3-4M views each) → At $6-8k per 1M views, one viral post = $20-30k → 3 mega virals × $25k avg = $75k+ The other 896 posts that didnt mega viral still produce mid-tier hits and steady traffic on top of that. Realistic month 1 as a beginner: $1-3k if u execute well. $5k if u get lucky with an early winning angle. Most ppl who treat it as a serious project and post daily see their first real month between months 2-3. Hooks written by AI. Images modified by AI. Posting handled by VAs. Comments seeded by VAs. Set it up once. Let it print. Comment "BLUEPRINT" and i'll send u my full tiktok slideshow blueprint. (must be following + repost)

affprinter

27,863 просмотров • 5 месяцев назад

IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

IF I WAS FORCED to build a $20K/month AI creative agency using nothing but Photoshop, starting from 0, here's exactly what I would do in steps: The production setup (Days 1–3) 1. Download the Higgsfield plugin inside Photoshop — takes 5 minutes 2. You now have: sketch-to-image, layer decomposer, mockup studio, relight, upscale, face swap, character swap, background removal, AI stylist — all in 1 tool 3. Old creative agency workflow: designer + photographer + editor + 3–5 day turnaround 4. New workflow: 1 person, Photoshop, 30 minutes per deliverable The offer (Days 3–7) 5. Pick 1 niche — ecom brands, real estate agents, or course creators all need visuals constantly 6. Build a simple offer: "10 ad creatives delivered in 24 hours — $500" 7. Old agencies charge $2,000–$5,000/month for the same output 8. Your cost to deliver: $0 beyond the plugin. Pure margin. 9. Create 3 sample mockups using the tool — drop a product image in, generate 9 variations, pick the best 3 10. That's your portfolio. Built in under 1 hour. Cost: $0. The client machine (Days 7–20) 11. Go on X and search "[niche] + need a designer" or "[niche] + creatives" 12. DM 50 people per day — "I'll make you 3 free ad creatives in 24 hours, no catch" 13. Deliver them in 30 minutes using the plugin 14. 50 DMs/day × 14 days = 700 outreach messages 15. Conservative 3% conversion = 21 people see the free work 16. Close 5 of them at $500 = $2,500 in week 3 The scale (Days 20–30) 17. Upsell every client to a $1,500/month retainer — 10 creatives/week, unlimited revisions 18. 1 client per day in Photoshop takes 45 minutes max 19. 10 retainer clients × $1,500 = $15,000/month 20. Add 3 one-off clients at $500/month = $1,500 21. Add a $997 "AI creative system" course teaching other people this exact workflow = $3,000+/month from 3 sales The math: 50 DMs/day × 30 days = 1,500 outreach messages 3% book a call = 45 calls 40% close at $1,500/month retainer = 18 clients 18 × $1,500 = $27,000/month recurring Time per client per day: 45 minutes Total daily work: 4–5 hours Every mockup — AI. Every restyle — AI. Every layer rebuild — AI. Every variation — AI. No photographer. No designer and no reshoot. Start it here. 👇

ALEX SUZUKI

21,454 просмотров • 3 месяцев назад

Fuck dropshipping, Fuck claude code, Fuck building AI startups it's all for poors The easiest way to print $30k/mo with AI in 2026 is running a fake old lady on tiktok who sells vitamins to women in their 60s.... 99% of you won't do it because it's too embarrassing to admit Total tool stack to operate one of them: $300/mo ChatGPT $200 (automation using Dots) Higgsfield $15 (AI avatar) ManyChat $15 (the DM funnel) Gumroad FREE That's the entire infrastructure for a business that does $30-50k/mo Move 1. Build the character in Higgsfield. Pick a real older woman archetype. Chinese grandmother for cooking. Asian monk for wellness. Latin abuela for natural remedies. Move 2. Run the 14-day warming sequence. Don't post AI videos on day 1. Browse for 3 days. Comment for 4 days. Post 8 normal videos for 7 days. Day 14 start the real content. Skip this and you get shadow-banned in week 3 Move 3. Pick 5 starter products. Filter to women 38-65 categories: kitchen, home, beauty, supplements. Skip products with under 50 sales/week. Pick winners with 4+ stars and 3+ creators making sales Move 4. Write the 18-second BOF script. Hook line ("if you're over 50 and your knees crack, this is for you"). Demonstration with one specific number. CTA referencing the yellow basket icon. Product visible from second one Move 5. Automate posting 6 videos a day. Most will flop. By video 100 you'll have 1-2 winners pulling 200k-500k views. Duplicate the winners 30x. Don't tweak. Move 6. Set up a manychat trigger before day 1. Trigger keyword tied to a 4-message DM flow ending in your tiktok shop affiliate link. 31-41% click-through rate vs email at 4%. Adds $200-800/mo per page on autopilot Month 2 you'll cross $3-5k. Month 3 you'll cross $10-15k. Month 6 you should be at $30-50k from one page. Month 9 at 2-3 pages The math nobody talks about Dropshipping requires inventory, supplier negotiations, ad spend, returns, customer service. Average margin 4-12%. Average operator burnout: 14 months Coding with claude requires you to learn how software works, get a job at a tech company that may not exist in 4 years, work 50+ hours/week for $120-180k. Average path to $30k/mo: 7-10 years Building an AI SaaS requires you to compete with VC-funded teams, scale to product-market fit, fundraise, hire engineers. 90% die in 18 months Running a fake AI grandmother requires $300/mo in tools and the willingness to look stupid. Average path to $30k/mo: 6 months. Average margin: 95% They don't eat. They don't sleep. They don't quit. They don't get hangovers. They don't go through breakups. They don't ask for raises. They don't ghost me on monday morning They post 6 times a day for 30 straight days. I broke down how to build the whole system with OpenAI Dots + GPT-6.1 Sol here:

Rahul

520,000 просмотров • 4 дней назад

🚨BREAKING: just dropped their Shopify integration yesterday. Now you can build a complete Shopify store by talking to AI. This changes a lot of things for ecom. WHAT THIS MEANS: Lovable AI can now: • Build complete online stores from text prompts • Set up checkout and shopping cart automatically • Add products with AI-generated descriptions • Deploy live stores in minutes, not weeks They proved it by building their own merch store: lovable[.]dev/merch THE OLD ECOM SETUP: • Hire Shopify developer ($3K-$10K) • Wait 2-4 weeks for completion • Go through endless revision cycles • Pay for theme customizations • Debug technical issues • Launch after months of delays THE NEW REALITY: "Build me an online store for selling fitness equipment" → AI creates complete store in 10 minutes → Add products with descriptions → Click publish → Start selling immediately WHAT THIS MEANS FOR ECOM OWNERS: The Technical Barrier Just Disappeared: • No coding knowledge required • No designer needed for basic stores • No developer for functionality setup • No technical troubleshooting Speed Becomes the New Standard: • Test product ideas in hours, not months • Launch seasonal stores instantly • Pivot business models without rebuilding • A/B test different store concepts rapidly The Cost Structure Changes: • $29/month Shopify + AI tool vs. $10K+ development • Instant iterations vs. expensive revisions • Self-service setup vs. agency dependencies • Focus budget on marketing, not development THE REALITY: While you're waiting 6 weeks for your developer to finish your store… Your competitor just described their business idea to AI and launched 3 different store variations to test the market. THE OPPORTUNITY FOR BRANDS: • Test 10 product ideas instead of 1 • Launch seasonal campaigns instantly • Create niche stores for different audiences • Focus on products and marketing, not tech THE WINDOW IS CLOSING: Right now, most ecom owners don't know this exists. In 6 months, everyone will expect instant store creation. In 12 months, waiting weeks for a basic store will look amateur. As for me, I’ll say basic Shopify development just became commoditized. P.S. Thanks to Lovable, everyone will have a store soon. Your real edge isn't in JUST building it. It's in the operations, automations, and strategy that make it profitable.

🚨BREAKING: just dropped their Shopify integration yesterday. Now you can build a complete Shopify store by talking to AI. This changes a lot of things for ecom. WHAT THIS MEANS: Lovable AI can now: • Build complete online stores from text prompts • Set up checkout and shopping cart automatically • Add products with AI-generated descriptions • Deploy live stores in minutes, not weeks They proved it by building their own merch store: lovable[.]dev/merch THE OLD ECOM SETUP: • Hire Shopify developer ($3K-$10K) • Wait 2-4 weeks for completion • Go through endless revision cycles • Pay for theme customizations • Debug technical issues • Launch after months of delays THE NEW REALITY: "Build me an online store for selling fitness equipment" → AI creates complete store in 10 minutes → Add products with descriptions → Click publish → Start selling immediately WHAT THIS MEANS FOR ECOM OWNERS: The Technical Barrier Just Disappeared: • No coding knowledge required • No designer needed for basic stores • No developer for functionality setup • No technical troubleshooting Speed Becomes the New Standard: • Test product ideas in hours, not months • Launch seasonal stores instantly • Pivot business models without rebuilding • A/B test different store concepts rapidly The Cost Structure Changes: • $29/month Shopify + AI tool vs. $10K+ development • Instant iterations vs. expensive revisions • Self-service setup vs. agency dependencies • Focus budget on marketing, not development THE REALITY: While you're waiting 6 weeks for your developer to finish your store… Your competitor just described their business idea to AI and launched 3 different store variations to test the market. THE OPPORTUNITY FOR BRANDS: • Test 10 product ideas instead of 1 • Launch seasonal campaigns instantly • Create niche stores for different audiences • Focus on products and marketing, not tech THE WINDOW IS CLOSING: Right now, most ecom owners don't know this exists. In 6 months, everyone will expect instant store creation. In 12 months, waiting weeks for a basic store will look amateur. As for me, I’ll say basic Shopify development just became commoditized. P.S. Thanks to Lovable, everyone will have a store soon. Your real edge isn't in JUST building it. It's in the operations, automations, and strategy that make it profitable.

Lian Lim | Dashboard & AI Automation Expert

14,316 просмотров • 11 месяцев назад

Two weeks severance. No health insurance. $200 in the account. I had one weekend to figure something out. Not update my resume. Not scroll LinkedIn. Not "stay positive." Saturday morning I found a Polymarket account that turned $200 into $380,000 in 1 months. I didn't sleep Saturday night. By Sunday I had the whole thing mapped out. Monday morning I opened Claude and typed one prompt. 47 minutes. 4 agents. Zero questions asked. The edge isn't complicated. Binance moves BTC every 10ms. Polymarket catches up every 500ms. That gap - 490ms - is where this account lived for 11 months straight. Agent 01: pulls raw order flow from Binance + CryptoQuant. Not charts. Not candles. The actual data before it becomes a number on your screen. Agent 02: watches Polymarket lag in real time. The moment the gap hits >0.4% it flags it. Agent 03: is already in the position before you finish reading this sentence. EIP-712, direct to CLOB on Polygon, 800+ orders per second. Agent 04: does one thing - keeps the system alive. Cuts at 2% drawdown. 0.5% per trade. No exceptions. Hour 3 - Fed held rates, BTC moved, bot was in 6 markets before Polymarket blinked. $200 → $940 Hour 9 - ETH/BTC diverged quietly. 9 mispriced contracts, 16¢ each. $940 → $2,800 I'm use for copytrade bots: Hour 16 - found a repeating pattern. BTC down 1.5% in under 3 minutes = YES markets underpriced by 10-14¢ every single time. Ran it 31 times. $2,800 → $6,600 Hour 24 - $10,340 Rust. Local machine. No GPU, no cloud, no subscription. 71.4% win rate. $28 average. 3.8% max drawdown. My old job posting still isn't up. The window is still open. For now.

Two weeks severance. No health insurance. $200 in the account. I had one weekend to figure something out. Not update my resume. Not scroll LinkedIn. Not "stay positive." Saturday morning I found a Polymarket account that turned $200 into $380,000 in 1 months. I didn't sleep Saturday night. By Sunday I had the whole thing mapped out. Monday morning I opened Claude and typed one prompt. 47 minutes. 4 agents. Zero questions asked. The edge isn't complicated. Binance moves BTC every 10ms. Polymarket catches up every 500ms. That gap - 490ms - is where this account lived for 11 months straight. Agent 01: pulls raw order flow from Binance + CryptoQuant. Not charts. Not candles. The actual data before it becomes a number on your screen. Agent 02: watches Polymarket lag in real time. The moment the gap hits >0.4% it flags it. Agent 03: is already in the position before you finish reading this sentence. EIP-712, direct to CLOB on Polygon, 800+ orders per second. Agent 04: does one thing - keeps the system alive. Cuts at 2% drawdown. 0.5% per trade. No exceptions. Hour 3 - Fed held rates, BTC moved, bot was in 6 markets before Polymarket blinked. $200 → $940 Hour 9 - ETH/BTC diverged quietly. 9 mispriced contracts, 16¢ each. $940 → $2,800 I'm use for copytrade bots: Hour 16 - found a repeating pattern. BTC down 1.5% in under 3 minutes = YES markets underpriced by 10-14¢ every single time. Ran it 31 times. $2,800 → $6,600 Hour 24 - $10,340 Rust. Local machine. No GPU, no cloud, no subscription. 71.4% win rate. $28 average. 3.8% max drawdown. My old job posting still isn't up. The window is still open. For now.

Lunar

19,911 просмотров • 7 месяцев назад

I sacrificed this body for $200k/mrr this video is from 3 years ago → 210 pounds → 6'3 → 19 yo This was just as my entrepreneurship journey was beginning 3 years later I gained 40 pounds But made millions And it was not worth it... for years my routine was: → daily redbulls → Takeouts everyday → maybe 1,000 steps per day → 18 hour work days → 4 hours of sleep average I became obsessed with success But I was extremely unhealthy i left everything else to the side family functions the gym the sun Literally everything Looking back this was a huge mistake. I should have found a way to do both at once. But I can’t change the past.. so 3 weeks ago I made a decision And now I'm on my 3rd consecutive week back to the gym 10k steps daily High protein diet Down 5 pounds already and I'm starting to rebuild my body back to what it was. I feel 100000% better. I hope you take a lesson from this tweet no amount of financial success can match the feeling of having a strong and healthy body.

I sacrificed this body for $200k/mrr this video is from 3 years ago → 210 pounds → 6'3 → 19 yo This was just as my entrepreneurship journey was beginning 3 years later I gained 40 pounds But made millions And it was not worth it... for years my routine was: → daily redbulls → Takeouts everyday → maybe 1,000 steps per day → 18 hour work days → 4 hours of sleep average I became obsessed with success But I was extremely unhealthy i left everything else to the side family functions the gym the sun Literally everything Looking back this was a huge mistake. I should have found a way to do both at once. But I can’t change the past.. so 3 weeks ago I made a decision And now I'm on my 3rd consecutive week back to the gym 10k steps daily High protein diet Down 5 pounds already and I'm starting to rebuild my body back to what it was. I feel 100000% better. I hope you take a lesson from this tweet no amount of financial success can match the feeling of having a strong and healthy body.

Ernesto Lopez

19,314 просмотров • 2 месяцев назад

Insanely good prompt for Shopify Sidekick: Analyzes if returning buyers would convert to subscription-only offers Shows exact rates, order patterns, quantities - the data you need in order to build a high-performing offer for a targeted landing page Supplement brands spending months guessing what this reveals in 2 minutes Paste in Shopify Sidekick → get answers → stop wondering ----- Analyze returning buyer subscription conversion potential single-product subscription_adoption_by_returning_customers determine viability of subscription-only landing page first_to_returning_subscription_rate all_first_time_purchasers percentage_who_subscribe_on_second_visit percentage_who_subscribe_on_any_return_visit include_time_to_subscription subscription_quantity_analysis most_popular_subscription_sizes percentage_for_each_quantity average average conversion_pathway_analysis average_count average days_between_first_order_and_subscription indicates_subscription_readiness subscription_success_indicators subscription_continuation_rate average average by_subscription_quantity minimum_conversion_rate_for_subscription_only_page 15_percent 5_percent actionable_insights first_time_to_subscriber top_3 yes_no_for_subscription_only_page key_metrics Determine if returning buyers should be redirected to subscription-only landing page with no one-time purchase option

Insanely good prompt for Shopify Sidekick: Analyzes if returning buyers would convert to subscription-only offers Shows exact rates, order patterns, quantities - the data you need in order to build a high-performing offer for a targeted landing page Supplement brands spending months guessing what this reveals in 2 minutes Paste in Shopify Sidekick → get answers → stop wondering ----- Analyze returning buyer subscription conversion potential single-product subscription_adoption_by_returning_customers determine viability of subscription-only landing page first_to_returning_subscription_rate all_first_time_purchasers percentage_who_subscribe_on_second_visit percentage_who_subscribe_on_any_return_visit include_time_to_subscription subscription_quantity_analysis most_popular_subscription_sizes percentage_for_each_quantity average average conversion_pathway_analysis average_count average days_between_first_order_and_subscription indicates_subscription_readiness subscription_success_indicators subscription_continuation_rate average average by_subscription_quantity minimum_conversion_rate_for_subscription_only_page 15_percent 5_percent actionable_insights first_time_to_subscriber top_3 yes_no_for_subscription_only_page key_metrics Determine if returning buyers should be redirected to subscription-only landing page with no one-time purchase option

Harry Molyneux

13,353 просмотров • 1 год назад

🚨 THIS TRADER MAKES ~$20K EVERY SINGLE DAY FOR AN ENTIRE MONTH Crazy? Yes. Fake? NOT even close. If you trade on Polymarket - you MUST read this. There’s a fresh wallet with 9,631 predictions and $435,000 monthly PNL Trading nothing but 15-minute crypto markets Profile → Copytrade → His daily outcome is close to ~$20,000 And the strategy is so simple you won’t even believe it I went through his whole setup No insane ML models No hedge-fund-level infra No complex data pipelines Just clean automation + probability edge His FULL strategy: 1. Ultra-short timeframes Trades only 15-min Up/Down markets Pure short-term momentum No long holds No narratives Just speed and repetition 2. Order splitting + micro sizing Every entry is split into many small orders Fixed small size per trade Scale only when confidence is higher This reduces variance and smooths PnL 3. Probability farming The bot doesn’t chase big wins It stacks tiny statistical edges Over thousands of trades - that compounds into 6 figures monthly His biggest win so far: “Bitcoin Up or Down - January 19, 5-6AM ET” $13,320 → $36,887 (+176%) And here’s the wild part: Anyone can build this cursor + py-clob-client + python install SDK get Polymarket API keys prompt strategy AI writes trading logic test with $1 Sometimes you don’t even need to be a good trader Bottom line Why are you still clicking buttons manually when bots are printing 24/7?

Shelpid.WI3M

30,626 просмотров • 8 месяцев назад

WHEN FABLE 5 + HIGGSFIELD FINISH A $35K SITE, HERE'S EVERYTHING THAT'S ACTUALLY IN THE FOLDER. no mockups, no "phase 2 next week." this is what ships - ready to hand a client: → the live site a scroll-driven build - GSAP ScrollTrigger + Lenis, pinned sections, scrubbed video, zero hand-coded keyframes. → the footage (yours to keep) a hero clip + one b-roll per section, generated in Higgsfield from 30+ models. not licensed stock - owned outright. → the optimized assets frames extracted, converted to WebP, lazy-loaded. loads instant, even on mobile. → the cinematic layer film grain, particles, vignette, glass cards, color tints - baked in, no plugins, no designer. → copy + responsive layout section copy drafted, breakpoints handled, mobile-tuned. that's the full studio deliverable. minus the studio, minus the month, minus the invoice. CONNECT HIGGSFIELD (MCP): add it as a custom connector in Claude Code: - mcp_servers: - higgsfield: - url: " one OAuth flow. Claude generates and pulls clips directly - no exporting by hand. THE MATH: → what a studio charges: $6,000-$35,000+ → what it costs you: a Claude sub + a few dollars of Higgsfield credits → what it takes: 4 people + 3 weeks → 1 operator + 1 session agencies sold you the folder. they just took a month and $35k to fill it. Follow me, reply "FOLDER" and I'll send you the full step-by-step Playbook. full breakdown in the article 👇

WHEN FABLE 5 + HIGGSFIELD FINISH A $35K SITE, HERE'S EVERYTHING THAT'S ACTUALLY IN THE FOLDER. no mockups, no "phase 2 next week." this is what ships - ready to hand a client: → the live site a scroll-driven build - GSAP ScrollTrigger + Lenis, pinned sections, scrubbed video, zero hand-coded keyframes. → the footage (yours to keep) a hero clip + one b-roll per section, generated in Higgsfield from 30+ models. not licensed stock - owned outright. → the optimized assets frames extracted, converted to WebP, lazy-loaded. loads instant, even on mobile. → the cinematic layer film grain, particles, vignette, glass cards, color tints - baked in, no plugins, no designer. → copy + responsive layout section copy drafted, breakpoints handled, mobile-tuned. that's the full studio deliverable. minus the studio, minus the month, minus the invoice. CONNECT HIGGSFIELD (MCP): add it as a custom connector in Claude Code: - mcp_servers: - higgsfield: - url: " one OAuth flow. Claude generates and pulls clips directly - no exporting by hand. THE MATH: → what a studio charges: $6,000-$35,000+ → what it costs you: a Claude sub + a few dollars of Higgsfield credits → what it takes: 4 people + 3 weeks → 1 operator + 1 session agencies sold you the folder. they just took a month and $35k to fill it. Follow me, reply "FOLDER" and I'll send you the full step-by-step Playbook. full breakdown in the article 👇

ZEUS⚡️

20,996 просмотров • 2 месяцев назад

Met my girlfriend's parents for the first time. Her dad asked what I do for work. I said I build trading systems. He said like Wall Street? I said no. 6 AI agents. They work while I sleep. He laughed. So robots are making you money? I did not argue. I opened my laptop. Showed him the terminal. 6 agents running. 47 mispriced markets caught in the first week alone. His face changed. That is not gambling. That is automation? Exactly. Then I showed him how it works. Built the whole thing in 6 hours. Agent 1: Monitoring Runs 24/7. Watches Polymarket for mispriced markets. Spots an anomaly. Writes to memory and pings me on Telegram instantly. Agent 2: Research Parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I check my phone. Agent 3: Trading Reads the research agent memory. Sees the market has not reacted yet. Acts. Execution tool in gateway mode with a whitelist. No full access on a live server. Agent 4: Watchdog Heartbeat every 5 minutes. Monitoring running. No errors. Positions up to date. Something breaks. Immediate Telegram message. All of this. One Gateway. One config file. Isolation via per-agent scope. The token trick: stopped dumping everything into one file. Critical rules in bootstrap. Markets, patterns, past trades in memory. Semantic search pulls it when needed. Token spend dropped 3x. From $0.40 per request to $0.13. First week running: → 47 mispriced markets caught before Polymarket adjusted → Average entry edge 8 to 12 cents per position → Watchdog fired 3 times and caught a broken RPC before it cost me anything The whole system is plain text files. Open an editor. Change one line. Agent behaves differently. No deploy. No build. Her dad went quiet. Then he asked can you teach this? Her mom asked for the setup guide. I built the entire framework. Six agents. Full deployment. Memory architecture. Telegram alerts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Claude" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the 6-agent system this week. Start with $200. Scale on evidence.

Met my girlfriend's parents for the first time. Her dad asked what I do for work. I said I build trading systems. He said like Wall Street? I said no. 6 AI agents. They work while I sleep. He laughed. So robots are making you money? I did not argue. I opened my laptop. Showed him the terminal. 6 agents running. 47 mispriced markets caught in the first week alone. His face changed. That is not gambling. That is automation? Exactly. Then I showed him how it works. Built the whole thing in 6 hours. Agent 1: Monitoring Runs 24/7. Watches Polymarket for mispriced markets. Spots an anomaly. Writes to memory and pings me on Telegram instantly. Agent 2: Research Parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I check my phone. Agent 3: Trading Reads the research agent memory. Sees the market has not reacted yet. Acts. Execution tool in gateway mode with a whitelist. No full access on a live server. Agent 4: Watchdog Heartbeat every 5 minutes. Monitoring running. No errors. Positions up to date. Something breaks. Immediate Telegram message. All of this. One Gateway. One config file. Isolation via per-agent scope. The token trick: stopped dumping everything into one file. Critical rules in bootstrap. Markets, patterns, past trades in memory. Semantic search pulls it when needed. Token spend dropped 3x. From $0.40 per request to $0.13. First week running: → 47 mispriced markets caught before Polymarket adjusted → Average entry edge 8 to 12 cents per position → Watchdog fired 3 times and caught a broken RPC before it cost me anything The whole system is plain text files. Open an editor. Change one line. Agent behaves differently. No deploy. No build. Her dad went quiet. Then he asked can you teach this? Her mom asked for the setup guide. I built the entire framework. Six agents. Full deployment. Memory architecture. Telegram alerts. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word "Claude" 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the 6-agent system this week. Start with $200. Scale on evidence.

Himanshu Kumar

47,590 просмотров • 3 месяцев назад

A LANDSCAPER CHARGES 45 DOLLARS AN HOUR, HERE’S THE REAL BILL Hedge trimming and fall leaf cleanup aren’t one time jobs. An average American yard needs bush trimming every 2 to 3 weeks from April to October, plus separate fall leaf cleanup. Do the honest math. One landscaping visit costs 80 to 150 dollars. Over a March to November season that’s 15 to 20 visits. Total comes to 1200 to 3000 dollars a year on the yard alone, not counting lawn mowing. Here’s a specific dated prediction. By the end of 2027, at least one company will show a humanoid completing a full yard care cycle (hedges, leaves, watering) with no operator nearby, in a real yard, not on a trade show floor. If that doesn’t happen, I’ll come back to this post and call the prediction wrong. Right now the tool in the robot’s hand is the same one in a human’s hand. The question isn’t cutting power, it’s whether the camera tells a live branch from a dead one without a gardener’s cue.

A LANDSCAPER CHARGES 45 DOLLARS AN HOUR, HERE’S THE REAL BILL Hedge trimming and fall leaf cleanup aren’t one time jobs. An average American yard needs bush trimming every 2 to 3 weeks from April to October, plus separate fall leaf cleanup. Do the honest math. One landscaping visit costs 80 to 150 dollars. Over a March to November season that’s 15 to 20 visits. Total comes to 1200 to 3000 dollars a year on the yard alone, not counting lawn mowing. Here’s a specific dated prediction. By the end of 2027, at least one company will show a humanoid completing a full yard care cycle (hedges, leaves, watering) with no operator nearby, in a real yard, not on a trade show floor. If that doesn’t happen, I’ll come back to this post and call the prediction wrong. Right now the tool in the robot’s hand is the same one in a human’s hand. The question isn’t cutting power, it’s whether the camera tells a live branch from a dead one without a gardener’s cue.

Shredder

19,465 просмотров • 1 месяц назад

The biggest Bitcoin miners on earth are quietly walking away from mining Bitcoin, and the reason is not the one everyone keeps repeating. They are not fleeing a dead business. They lost an auction for their own power, and the winner was artificial intelligence. Start with the brutal arithmetic. It now costs the average public miner around $80,000 in cash to produce a single Bitcoin, and for stretches of this year $BTC traded below that. The most efficient operators on the cheapest power still clear a margin, but an estimated 15 to 20 percent of the global fleet is mining at a loss right now, burning more in power than the coins are worth the second they are minted. Three straight downward difficulty adjustments earlier this year, the first such streak since 2022, were the footprint of machines going dark. That looks like a simple story of a broken business until you see the number that explains the exodus. The same megawatt of power that earns a Bitcoin miner roughly $1 million a year earns between $10 and $20 million a year hosting AI compute. Ten to twenty times more, for the identical electricity, substation, and cooling. What made industrial miners valuable was never the mining. It was the power contracts, the land, the grid interconnects. AI walked in and bid an order of magnitude higher for exactly those assets. Mining did not fail. It got outbid for its own infrastructure. When Core Scientific runs its BTC segment at a negative margin while its AI colocation business prints money, the decision writes itself. CoinShares estimates listed miners could pull up to 70 percent of their revenue from AI by year end, up from about 30 percent. The power is being repriced to its highest use, and Bitcoin lost the bidding. If the giants leave, what happens to the network they secured? The doom posts assume it weakens. It does not, because Bitcoin has a self-healing reflex written into its core. When miners switch off, blocks slow, and within two weeks difficulty automatically drops, which makes mining cheaper and more profitable for everyone still running. The security does not vanish, it relocates, and you can already see where. State-backed pools are appearing, with one Gulf operator reportedly standing up a national pool near 3 percent of global hashrate, alongside private fleets and the handful of public miners like Marathon still choosing to buy Bitcoin rather than lease their power away. The network even hit an all-time high above one zettahash this year as the pivot accelerated. It does not need any particular miner. It needs someone, somewhere, for whom the math still works, and cheap stranded power has no shortage of those. But there is a deeper timer here, and the AI pivot just exposed it. Today miners earn almost everything from the block subsidy and almost nothing from fees, often under one percent of revenue on a quiet day. That subsidy halves again in 2028, and every four years after, marching toward zero. For Bitcoin to pay for its own security forever, fees eventually have to replace it. The open question is whether they can, and the evidence cuts both ways. On busy days, during token launches and inscription waves, fees have already spiked past 15 percent of revenue, and in 2024 some blocks earned more in fees than the entire subsidy. The capacity is there in bursts. Whether bursts become a baseline is the single most important unanswered question in Bitcoin. The AI exodus did not create that question. It pulled the cover off it years early, and showed how fast capital abandons hashing the moment something pays more. So the honest read is not that AI kills Bitcoin mining. It is stranger than that. AI is the first bidder rich enough to reveal what Bitcoin's security was always quietly worth, and what it will cost to keep once the free coins stop coming. The miners are not abandoning a sinking ship. They are selling the deck to a higher bidder while the same clock everyone forgot about keeps ticking underneath.

The biggest Bitcoin miners on earth are quietly walking away from mining Bitcoin, and the reason is not the one everyone keeps repeating. They are not fleeing a dead business. They lost an auction for their own power, and the winner was artificial intelligence. Start with the brutal arithmetic. It now costs the average public miner around $80,000 in cash to produce a single Bitcoin, and for stretches of this year $BTC traded below that. The most efficient operators on the cheapest power still clear a margin, but an estimated 15 to 20 percent of the global fleet is mining at a loss right now, burning more in power than the coins are worth the second they are minted. Three straight downward difficulty adjustments earlier this year, the first such streak since 2022, were the footprint of machines going dark. That looks like a simple story of a broken business until you see the number that explains the exodus. The same megawatt of power that earns a Bitcoin miner roughly $1 million a year earns between $10 and $20 million a year hosting AI compute. Ten to twenty times more, for the identical electricity, substation, and cooling. What made industrial miners valuable was never the mining. It was the power contracts, the land, the grid interconnects. AI walked in and bid an order of magnitude higher for exactly those assets. Mining did not fail. It got outbid for its own infrastructure. When Core Scientific runs its BTC segment at a negative margin while its AI colocation business prints money, the decision writes itself. CoinShares estimates listed miners could pull up to 70 percent of their revenue from AI by year end, up from about 30 percent. The power is being repriced to its highest use, and Bitcoin lost the bidding. If the giants leave, what happens to the network they secured? The doom posts assume it weakens. It does not, because Bitcoin has a self-healing reflex written into its core. When miners switch off, blocks slow, and within two weeks difficulty automatically drops, which makes mining cheaper and more profitable for everyone still running. The security does not vanish, it relocates, and you can already see where. State-backed pools are appearing, with one Gulf operator reportedly standing up a national pool near 3 percent of global hashrate, alongside private fleets and the handful of public miners like Marathon still choosing to buy Bitcoin rather than lease their power away. The network even hit an all-time high above one zettahash this year as the pivot accelerated. It does not need any particular miner. It needs someone, somewhere, for whom the math still works, and cheap stranded power has no shortage of those. But there is a deeper timer here, and the AI pivot just exposed it. Today miners earn almost everything from the block subsidy and almost nothing from fees, often under one percent of revenue on a quiet day. That subsidy halves again in 2028, and every four years after, marching toward zero. For Bitcoin to pay for its own security forever, fees eventually have to replace it. The open question is whether they can, and the evidence cuts both ways. On busy days, during token launches and inscription waves, fees have already spiked past 15 percent of revenue, and in 2024 some blocks earned more in fees than the entire subsidy. The capacity is there in bursts. Whether bursts become a baseline is the single most important unanswered question in Bitcoin. The AI exodus did not create that question. It pulled the cover off it years early, and showed how fast capital abandons hashing the moment something pays more. So the honest read is not that AI kills Bitcoin mining. It is stranger than that. AI is the first bidder rich enough to reveal what Bitcoin's security was always quietly worth, and what it will cost to keep once the free coins stop coming. The miners are not abandoning a sinking ship. They are selling the deck to a higher bidder while the same clock everyone forgot about keeps ticking underneath.

Shanaka Anslem Perera ⚡

90,812 просмотров • 3 месяцев назад

Want to accept #Bitcoin payments? 🟠 Here are the 2⃣1⃣ best solutions:👇 1) Flash no KYC, fully self-custodial, lots of features. LN only, on-chain to follow. 2) BTCPay Server the bitcoin standard of payment processing, you can do anything with it, even build your own exchange. 3) OpenNode ⚡️ reliable and long track record but requires KYB. LN+Onchain. 4) Zaprite (₿/⚡) focused on merchants, combining reporting, fiat AND bitcoin payment options 5) 🇨🇭 Swiss Bitcoin Pay swiss-made quality, made for merchants, just 0.21% fee in the first year 6) Bitcoinize POS Machine ⚡ the portable handheld that can run ANY POS app, seen in many circular economies around the world 7) OPAGO innovation made in Germany, micro handheld POS LN only 8) Blink Wallet only requires a phone number and ready to accept btc on-chain and over LN with a mobile POS 9) Wallet of Satoshi provides a separate POS app to easily accept payments 10) IBEX Pay ⚡️ bitcoin lightning payments and fiat conversion 11) ForumPay bitcoin payments for dynamic markets and large enterprise 12) @lightningpaynz hosted payment solution to take payments online 13) LNbits LEGO for Lightning, build anything from paywalls, event ticket shops or POS 14) STRIKE their API allows to build many different payment solutions incl Shopify, requires KYB 15) Coincharge - Accept Bitcoin and Lightning Payments accept bitcoin and lightning online or in a physical shop 16) @lipa_btc Accept bitcoin and exchange into your currency (EUR, CHF) for 0.98% fee 17) tiankii ⚡️Technology A merchant dashboard helping people to unleash the power of Bitcoin and Lightning 18) Alby 🐝 easy paywalls and donation widgets for any website 19) Speed ⚡ Bitcoin lightning payment platform Seamless Bitcoin and stablecoin payments for businesses, LNURL support, API & SDK 20) SatSale, a simple, easily deployable, lightweight Bitcoin payment processor that connects to your own node or Lightning network node 21) PayPal LOL, no don't use that or BitPay unless you love KYC/KYB and high fees Have we missed anyone? Let us know! 💬 Enjoyed this list? Share and like ♻️🧡

Want to accept #Bitcoin payments? 🟠 Here are the 2⃣1⃣ best solutions:👇 1) Flash no KYC, fully self-custodial, lots of features. LN only, on-chain to follow. 2) BTCPay Server the bitcoin standard of payment processing, you can do anything with it, even build your own exchange. 3) OpenNode ⚡️ reliable and long track record but requires KYB. LN+Onchain. 4) Zaprite (₿/⚡) focused on merchants, combining reporting, fiat AND bitcoin payment options 5) 🇨🇭 Swiss Bitcoin Pay swiss-made quality, made for merchants, just 0.21% fee in the first year 6) Bitcoinize POS Machine ⚡ the portable handheld that can run ANY POS app, seen in many circular economies around the world 7) OPAGO innovation made in Germany, micro handheld POS LN only 8) Blink Wallet only requires a phone number and ready to accept btc on-chain and over LN with a mobile POS 9) Wallet of Satoshi provides a separate POS app to easily accept payments 10) IBEX Pay ⚡️ bitcoin lightning payments and fiat conversion 11) ForumPay bitcoin payments for dynamic markets and large enterprise 12) @lightningpaynz hosted payment solution to take payments online 13) LNbits LEGO for Lightning, build anything from paywalls, event ticket shops or POS 14) STRIKE their API allows to build many different payment solutions incl Shopify, requires KYB 15) Coincharge - Accept Bitcoin and Lightning Payments accept bitcoin and lightning online or in a physical shop 16) @lipa_btc Accept bitcoin and exchange into your currency (EUR, CHF) for 0.98% fee 17) tiankii ⚡️Technology A merchant dashboard helping people to unleash the power of Bitcoin and Lightning 18) Alby 🐝 easy paywalls and donation widgets for any website 19) Speed ⚡ Bitcoin lightning payment platform Seamless Bitcoin and stablecoin payments for businesses, LNURL support, API & SDK 20) SatSale, a simple, easily deployable, lightweight Bitcoin payment processor that connects to your own node or Lightning network node 21) PayPal LOL, no don't use that or BitPay unless you love KYC/KYB and high fees Have we missed anyone? Let us know! 💬 Enjoyed this list? Share and like ♻️🧡

Lightning News

37,598 просмотров • 1 год назад

Free ChatGPT Go from Revolut – Short Guide Revolut is giving free ChatGPT Go to most customers. Here’s everything that matters. Who gets what -Standard & Plus → 3 months -Premium / Pro → 6 months -Metal → 12 months -Ultra → 12 months + guest pass US & Brazil excluded. Australia coming later. For higher plans, it's live now. Standard/Plus rolling out over the next few weeks. Important things to know -No data sharing. ChatGPT cannot see your Revolut balances or transactions (confirmed by Revolut Support). -No deeper product integration — this is a pure subscription perk. -Perplexity Pro remains a separate benefit. You can keep both. -One promo code per Revolut plan only. If you upgrade/downgrade and later return, you do not get a new code. -If you cancel or downgrade your Revolut plan, the ChatGPT benefit ends immediately. How to claim Revolut app Profile → Your plan → See all → ChatGPT → Go to ChatGPT → Claim free offer. Your unique promo code is applied automatically. What to watch out for -You will be asked for a payment card, but you are not charged during the free period. Some cards get rejected. -Critical: At the end of the free period (especially Premium’s 6 months), ChatGPT will try to convert you to a paid plan. Turn off auto-renewal in your ChatGPT account **before the free period ends if you don’t want to be charged. Existing ChatGPT subscribers: – Paying OpenAI directly → Go starts now if it’s an upgrade, otherwise at the end of your current cycle. – Paying via Apple/Google → Cancel first, then claim. Ultra guest pass Go to the ChatGPT Guest Pass benefit in the app, generate the link and send it to your friend. This is not an official or complete guide and may contain errors. Always check the latest details in the Revolut app or Help Centre.

Max Karpis

11,341 просмотров • 2 месяцев назад

If you're a single guy in your 20s or 30s looking to spend 3-6+ months somewhere in Latin America... And you want a place that checks ALL the boxes: - Solid weather year-round - Large metro population - Reasonable cost of living - Friendly locals, easy to socialize - Safe neighborhoods - Decent nightlife - Close to the US Then you need to consider: 🇩🇴 SANTO DOMINGO, DOMINICAN REPUBLIC 🇩🇴 The city gets ZERO hype compared to Medellin, CDMX, or Buenos Aires But it might be the most underrated option for the average broski - Biggest city in the Caribbean - Zona Colonial has more history than some countries - Direct flights to Miami for under $200 - You can live VERY well on $2-3K/month - The dating scene is criminally underrated - Beaches 1-2 hours away (1-Juan Dolio, 2-Punta Cana) - Way less saturated w/ gringos than the "classics" Most guys overlook the DR entirely because they think it's just all-inclusive resorts and Punta Cana They have no idea Santo Domingo exists Their loss...

If you're a single guy in your 20s or 30s looking to spend 3-6+ months somewhere in Latin America... And you want a place that checks ALL the boxes: - Solid weather year-round - Large metro population - Reasonable cost of living - Friendly locals, easy to socialize - Safe neighborhoods - Decent nightlife - Close to the US Then you need to consider: 🇩🇴 SANTO DOMINGO, DOMINICAN REPUBLIC 🇩🇴 The city gets ZERO hype compared to Medellin, CDMX, or Buenos Aires But it might be the most underrated option for the average broski - Biggest city in the Caribbean - Zona Colonial has more history than some countries - Direct flights to Miami for under $200 - You can live VERY well on $2-3K/month - The dating scene is criminally underrated - Beaches 1-2 hours away (1-Juan Dolio, 2-Punta Cana) - Way less saturated w/ gringos than the "classics" Most guys overlook the DR entirely because they think it's just all-inclusive resorts and Punta Cana They have no idea Santo Domingo exists Their loss...

Jake Nomada 🌎

65,376 просмотров • 7 месяцев назад

Guy on Twitter posted his $8.3K loss screenshot. Said he's quitting Polymarket forever. One account replied: Never give up. Seemed like typical motivational BS. But something felt off. Clicked the profile. Bio had one link. Polymarket wallet. $382,998.22 profit. 11,326 predictions. Joined December 2025. → Wallet: Two months. $383K. What the hell? I spent hours digging through every position. Expected political bets. Insider plays. Some genius prediction pattern. Found something completely different. This wallet doesn't predict outcomes. It farms your panic. Here's the trick everyone misses: On Polymarket, YES and NO should always add up to $1. Basic math. But when fear hits, math breaks. BTC dumps 3%. Everyone panic sells NO at 38 cents. YES barely moves at 55 cents. 38 + 55 = 93 cents. One MUST pay $1. This wallet buys both. Waits. Collects the dollar. Keeps 7 cents. Sounds tiny until you see the scale: Real example from January 27: Crypto crashed 8% in two hours. This wallet opened 47 positions in 90 minutes. Average spread: 11 cents per position. One day profit: $14,200. While you watched charts. While traders panic sold their convictions. This wallet quietly collected from both sides. No predictions needed. No insider info. Just math and patience. The most profitable traders don't predict futures. They exploit emotions. Next panic is coming. Prices will split from $1 again. Will you be selling in fear? Or collecting from it?

Marlow

82,539 просмотров • 8 месяцев назад

My entire Polymarket strategy right now is Ctrl+C on a wallet making $20K a month and Ctrl+V on my account. Yeah. I know how that sounds. 6 months ago I would have closed the chat on anyone who said this. Probably blocked them too. But here is where I am: last month, +$2,700. Trading decisions I made: 0. For context, my best month of manual trading was $580. And that took 3-4 hours a day. Let me back up. For 6 months I was a "real trader." Charts on 2 monitors. 3 Discord alpha groups. NOAA weather data at 2 AM because someone said temperature markets were free money. Spreadsheets tracking 40 wallets. Every thread read. An opinion on every market. Average month: somewhere between $400 and "I would rather not say." I was very busy. Just not very profitable. Then something clicked. Not an insight about markets. An insight about me. The wallets I was tracking, the ones pulling $15K-$30K a month, had data pipelines, sub-second execution, and models I could not replicate in a year of trying. I was not competing with other retail traders. I was competing with infrastructure. You do not outrun a car. You get in the car. So I stopped. Stopped picking markets. Stopped reading forecasts. Stopped setting 3 AM alarms for data drops. Found 3 wallets with 90+ day track records and consistent returns. Not the flashy ones posting $3M screenshots on Twitter. The boring ones pulling 4-6% weekly on liquid markets. Connected automatic copying. 1 evening. Maybe 15 minutes of actual setup. That was 5 weeks ago. 1st week I checked the dashboard every 2 hours. Old habits. 2nd week, once a day. Now I check maybe every 5 or 6 days. Trades execute on their own. I do not choose markets. I do not analyze odds. I do not decide position sizes. 5 weeks in: +$3,100 total. Same capital that would have made me $300-400 doing it manually. Same money. Different operator. Or rather, no operator. I did not make a single trading decision. That was the whole point. The logic is short: top wallets have speed, data, and execution you and I will never have. You can not beat them. But you can stand next to them and do exactly what they do, at roughly the same time, in the same markets. The tool I use: PMX 1 evening. 15 minutes. 0 decisions since: 6 months of charts taught me less than 1 evening of copying. Turns out the smartest move in trading is not trading at all.

My entire Polymarket strategy right now is Ctrl+C on a wallet making $20K a month and Ctrl+V on my account. Yeah. I know how that sounds. 6 months ago I would have closed the chat on anyone who said this. Probably blocked them too. But here is where I am: last month, +$2,700. Trading decisions I made: 0. For context, my best month of manual trading was $580. And that took 3-4 hours a day. Let me back up. For 6 months I was a "real trader." Charts on 2 monitors. 3 Discord alpha groups. NOAA weather data at 2 AM because someone said temperature markets were free money. Spreadsheets tracking 40 wallets. Every thread read. An opinion on every market. Average month: somewhere between $400 and "I would rather not say." I was very busy. Just not very profitable. Then something clicked. Not an insight about markets. An insight about me. The wallets I was tracking, the ones pulling $15K-$30K a month, had data pipelines, sub-second execution, and models I could not replicate in a year of trying. I was not competing with other retail traders. I was competing with infrastructure. You do not outrun a car. You get in the car. So I stopped. Stopped picking markets. Stopped reading forecasts. Stopped setting 3 AM alarms for data drops. Found 3 wallets with 90+ day track records and consistent returns. Not the flashy ones posting $3M screenshots on Twitter. The boring ones pulling 4-6% weekly on liquid markets. Connected automatic copying. 1 evening. Maybe 15 minutes of actual setup. That was 5 weeks ago. 1st week I checked the dashboard every 2 hours. Old habits. 2nd week, once a day. Now I check maybe every 5 or 6 days. Trades execute on their own. I do not choose markets. I do not analyze odds. I do not decide position sizes. 5 weeks in: +$3,100 total. Same capital that would have made me $300-400 doing it manually. Same money. Different operator. Or rather, no operator. I did not make a single trading decision. That was the whole point. The logic is short: top wallets have speed, data, and execution you and I will never have. You can not beat them. But you can stand next to them and do exactly what they do, at roughly the same time, in the same markets. The tool I use: PMX 1 evening. 15 minutes. 0 decisions since: 6 months of charts taught me less than 1 evening of copying. Turns out the smartest move in trading is not trading at all.

Blaze

48,476 просмотров • 7 месяцев назад