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Eighties today 📅 𝗚𝗨𝗘𝗦𝗦 𝗧𝗛𝗘 𝗬𝗘𝗔𝗥 🎶 𝗡𝗔𝗠𝗘 3️⃣ 𝗢𝗙 𝗧𝗛𝗘 5️⃣ 𝗦𝗢𝗡𝗚𝗦 (unmute) 🏴󠁧󠁢󠁳󠁣󠁴󠁿 Scotland you're on page 4 BERNIE SLAVEN you're on page 6 Guesses below—answer at 7pm

Ceefax 303

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24,605 просмотров • 6 месяцев назад •via X (Twitter)

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EN-CREASE (CLOSED)

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My SEO Backlink Strategy to Rank on ChatGPT: (How I'm building links from pages that ChatGPT is referencing in answers) When you query on ChatGPT & LLMs, it references resources online then creates an answer. For example: "What are the best eCommerce accounting services?" ChatGPT scours its "sources" & determines what is the best possible answer. Its "sources" are best of lists, review sites, domain authority, and domain content. When your brand is mentioned in more of these "sources", the more ChatGPT mentions you get. Here's my process: Step #1: Analyze Domain in Writesonic - Go to GEO --> Enter your domain --> Follow prompts --> Wait for results - This gives you a full breakdown of visibility, citations, queries, etc. - A full scope overview of how you're performing on ChatGPT & LLMs Step #2: Citation Opportunities - Scroll down to "Page-level citation opportunities" - This gives you a full list of pages ChatGPT is citing in queries relevant to your brand where you're NOT mentioned yet - These are backlinks you should be aiming to get. Step #3: Build Backlinks - Build a spreadsheet to track ALL of these backlink opp's - Research & find the website owner's name, email, & LinkedIn - Reach out pitching why your company should be included - Follow up until you've landed the backlink Step #4: Review, Analyze, & Adjust - ChatGPT & LLMs are evolving at a rapid pace - Check back on data in Writesonic every 1-2 weeks - Find new backlink opp's, add them to your list, and outreach - Do this on repeat until you're mentioned everywhere --- Is this helpful? ♻️ REPOST if you think so & want more like it. P.S. Want data like this? Check out Writesonic today & test it on your own website.

Connor Gillivan

11,967 просмотров • 1 год назад

How to ACTUALLY reach 500 points on Arc without getting stuck or confused 👇 A lot of people complain: "Bro I watched all videos/articles already but not getting points anymore" 😭 The problem is most users consume everything randomly in one day without tracking anything. Here’s the easiest method that helped many users 👇 1️⃣ Don’t watch content randomly Every day, new videos/articles get published on arc. So first: – Open 2 tabs/windows – Tab 1 = Arc Home page – Tab 2 = Contribution page (where you see points for videos/articles) Now on the Contribution page: – Click the 3 dots/menu – Find the “Find/Search in page” option 👀 Then: – Copy one video/article title from Home page – Search it inside Contribution page Now you’ll understand: – which content already gave points – which one DIDN’T give points yet If no points were received before for that content, then watching it now can still reward points 🤝 This is the main trick most people miss. 2️⃣ Watch content in an organized way Start either: – from oldest content OR – newest content But stay consistent. Every day: – Watch around 4 videos – Read around 5 articles ⚠️ Don’t randomly open 20 videos together. After watching: – wait around 5–10 mins – points usually get added quickly If no points appear: that content probably won’t reward anymore → move to next one. Also remember: – which article/video you ended on today – continue from there tomorrow Mobile users can also use multiple tabs/windows same as PC 👀 Honestly, if you stay consistent with only videos + articles, 500+ points becomes very achievable. And don’t forget livestreams: many web livestreams give around 20 points each 🤝 3️⃣ Timing matters A LOT This is another huge mistake people make 👇 Most users: – watch today at random time – then watch tomorrow at another random time Result? No points 😭 Arc content rewards usually need a FULL 24h reset. Example: If you watched today at 6PM, then tomorrow start again around: 6:10PM – 6:15PM Don’t rush before 24h fully passes. And again: – only do around 4 videos + 5 articles daily – once points are added, stop there Watching too many extra videos usually doesn’t help. 4️⃣ Discord Application Tips (VERY IMPORTANT) Most people get rejected because their answers don’t match each other 😭 Example: Question 2: "What are you?" – You select “Content Creator” Then Question 3: "How will you help Arc?" – You answer “Building apps” See the problem? 👀 Your answers should CONNECT with each other. If you choose: – Content creator → talk about guides, videos, education, helping users. If you choose: – Builder → talk about products, apps, tools, etc. Usually 4–5 questions are connected together. If your answers feel random or inconsistent, rejection chance becomes very high. My suggestion 👇 – Reach 500 points first – Then apply carefully – Stay active in Discord – Join livestreams – Help community members on discord – Keep contributing & building consistently That’s honestly the best way to grow inside the ecosystem, and slowly get recognition for Tier badges & other community roles/badges too 💙 If you helped, please do like,repost & sahre you your frns🥰

How to ACTUALLY reach 500 points on Arc without getting stuck or confused 👇 A lot of people complain: "Bro I watched all videos/articles already but not getting points anymore" 😭 The problem is most users consume everything randomly in one day without tracking anything. Here’s the easiest method that helped many users 👇 1️⃣ Don’t watch content randomly Every day, new videos/articles get published on arc. So first: – Open 2 tabs/windows – Tab 1 = Arc Home page – Tab 2 = Contribution page (where you see points for videos/articles) Now on the Contribution page: – Click the 3 dots/menu – Find the “Find/Search in page” option 👀 Then: – Copy one video/article title from Home page – Search it inside Contribution page Now you’ll understand: – which content already gave points – which one DIDN’T give points yet If no points were received before for that content, then watching it now can still reward points 🤝 This is the main trick most people miss. 2️⃣ Watch content in an organized way Start either: – from oldest content OR – newest content But stay consistent. Every day: – Watch around 4 videos – Read around 5 articles ⚠️ Don’t randomly open 20 videos together. After watching: – wait around 5–10 mins – points usually get added quickly If no points appear: that content probably won’t reward anymore → move to next one. Also remember: – which article/video you ended on today – continue from there tomorrow Mobile users can also use multiple tabs/windows same as PC 👀 Honestly, if you stay consistent with only videos + articles, 500+ points becomes very achievable. And don’t forget livestreams: many web livestreams give around 20 points each 🤝 3️⃣ Timing matters A LOT This is another huge mistake people make 👇 Most users: – watch today at random time – then watch tomorrow at another random time Result? No points 😭 Arc content rewards usually need a FULL 24h reset. Example: If you watched today at 6PM, then tomorrow start again around: 6:10PM – 6:15PM Don’t rush before 24h fully passes. And again: – only do around 4 videos + 5 articles daily – once points are added, stop there Watching too many extra videos usually doesn’t help. 4️⃣ Discord Application Tips (VERY IMPORTANT) Most people get rejected because their answers don’t match each other 😭 Example: Question 2: "What are you?" – You select “Content Creator” Then Question 3: "How will you help Arc?" – You answer “Building apps” See the problem? 👀 Your answers should CONNECT with each other. If you choose: – Content creator → talk about guides, videos, education, helping users. If you choose: – Builder → talk about products, apps, tools, etc. Usually 4–5 questions are connected together. If your answers feel random or inconsistent, rejection chance becomes very high. My suggestion 👇 – Reach 500 points first – Then apply carefully – Stay active in Discord – Join livestreams – Help community members on discord – Keep contributing & building consistently That’s honestly the best way to grow inside the ecosystem, and slowly get recognition for Tier badges & other community roles/badges too 💙 If you helped, please do like,repost & sahre you your frns🥰

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One of the best businesses to run with GrokBot is a directory. A directory is basically just curated data on a website. You pick a topic and you say, here are the best XYZ in this topic. It's a good $10K, $25K, $100K a month business, Here's the whole setup: 1) Pick the niche. Pickleball equipment. Board games that are good for parties. Something you already have taste in. 2) Build the site on Astro. Astro specifically is really good at directories. 3) Set up a research agent. Every day it investigates a new brand and writes a great page on that brand as Markdown. 4) It hands the page to the engineer, who posts it. 5) Rinse and repeat until you're getting thousands of visits a month. 6) Then add an agent that collects referral links and does outbound to get deals. Step 6 only works after step 5. Nobody gives you a deal when the site has no traffic. Once the directory is getting visits, you have a foundation. Put a niche newsletter on a subdomain and link people over to the directory with your referral link. Those warm leads become sponsors in the newsletter. And the whole SEO game is changing right now. People are going to ChatGPT and Google AI overviews to consume content, and platforms like that need directories. There's too much information out there, so curated is what's helpful. Pick the niche, let it write the pages, then go get the deals

The Startup Ideas Podcast (SIP) 🧃

108,068 просмотров • 1 месяц назад

If you're building a PDF RAG pipeline: Should you be using OCR and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 methods, or just 𝗲𝗺𝗯𝗲𝗱 𝗶𝗺𝗮𝗴𝗲𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 using late interaction models? This paper says the answer might actually be 𝘣𝘰𝘵𝘩. My colleagues at Weaviate released IRPAPERS, a benchmark comparing 𝗶𝗺𝗮𝗴𝗲-𝗯𝗮𝘀𝗲𝗱 and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 retrieval over 3,230 pages from 166 scientific papers. The setup: Take the same PDFs and process them two ways. For text, run OCR with GPT-4.1 and embed with Arctic 2.0 + BM25 hybrid search. For images, embed raw page images with ColModernVBERT multi-vector embeddings. Test both on 180 needle-in-the-haystack questions. 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: Text edges out images at the top rank: 46% vs 43% Recall@1 But images match or exceed text at deeper recall: 93% vs 91% Recall@20 But text and image based methods actually fail on 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘁 𝘲𝘶𝘦𝘳𝘪𝘦𝘴. At Recall@1: • 22 queries succeed with text but fail with images • 18 queries succeed with images but fail with text This complementarity is what makes 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 work. By fusing scores from both text and image retrieval, they achieved: • 49% Recall@1 (beating either modality alone) • 81% Recall@5 • 95% Recall@20 More in the video below 🔽 Dataset: Paper: Code:

If you're building a PDF RAG pipeline: Should you be using OCR and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 methods, or just 𝗲𝗺𝗯𝗲𝗱 𝗶𝗺𝗮𝗴𝗲𝘀 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 using late interaction models? This paper says the answer might actually be 𝘣𝘰𝘵𝘩. My colleagues at Weaviate released IRPAPERS, a benchmark comparing 𝗶𝗺𝗮𝗴𝗲-𝗯𝗮𝘀𝗲𝗱 and 𝘁𝗲𝘅𝘁-𝗯𝗮𝘀𝗲𝗱 retrieval over 3,230 pages from 166 scientific papers. The setup: Take the same PDFs and process them two ways. For text, run OCR with GPT-4.1 and embed with Arctic 2.0 + BM25 hybrid search. For images, embed raw page images with ColModernVBERT multi-vector embeddings. Test both on 180 needle-in-the-haystack questions. 𝗧𝗵𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: Text edges out images at the top rank: 46% vs 43% Recall@1 But images match or exceed text at deeper recall: 93% vs 91% Recall@20 But text and image based methods actually fail on 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘁 𝘲𝘶𝘦𝘳𝘪𝘦𝘴. At Recall@1: • 22 queries succeed with text but fail with images • 18 queries succeed with images but fail with text This complementarity is what makes 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗛𝘆𝗯𝗿𝗶𝗱 𝗦𝗲𝗮𝗿𝗰𝗵 work. By fusing scores from both text and image retrieval, they achieved: • 49% Recall@1 (beating either modality alone) • 81% Recall@5 • 95% Recall@20 More in the video below 🔽 Dataset: Paper: Code:

Victoria Slocum

44,176 просмотров • 6 месяцев назад

the entire math roadmap for quant trading fits on a single page and this video breaks it down in 60 seconds probability. linear algebra. calculus. statistics four subjects. every quant strategy ever built sits on top of these four probability comes first because everything else depends on it conditional probability, Bayes' theorem, expected value this is the actual language trading models are written in linear algebra is how you stop thinking about one stock and start thinking about 5,000 at once factor models, PCA, portfolio optimization Bridgewater, AQR, Two Sigma all run on matrix math calculus is derivatives pricing. Black-Scholes is a PDE if you trade options without understanding the equation underneath them, you're reading the answer key without knowing the question statistics is the filter regression, hypothesis testing, distribution fitting this is how Renaissance decides if a signal is real or if a backtest got lucky here's what nobody tells retail: every indicator you've ever used is a dumbed-down version of one of these four subjects RSI is momentum statistics. Bollinger Bands are standard deviation. MACD is signal processing they took the math, removed the part that makes it useful, and sold you the wrapper > this roadmap: free, 60 seconds, in this video > same four subjects tested at every quant interview since the 1990s > time to learn properly: 6-8 months with free resources > what they unlock: the actual language Wall Street runs on the information was never gated it was just never packaged for the people who needed it most full breakdown in the video below

the entire math roadmap for quant trading fits on a single page and this video breaks it down in 60 seconds probability. linear algebra. calculus. statistics four subjects. every quant strategy ever built sits on top of these four probability comes first because everything else depends on it conditional probability, Bayes' theorem, expected value this is the actual language trading models are written in linear algebra is how you stop thinking about one stock and start thinking about 5,000 at once factor models, PCA, portfolio optimization Bridgewater, AQR, Two Sigma all run on matrix math calculus is derivatives pricing. Black-Scholes is a PDE if you trade options without understanding the equation underneath them, you're reading the answer key without knowing the question statistics is the filter regression, hypothesis testing, distribution fitting this is how Renaissance decides if a signal is real or if a backtest got lucky here's what nobody tells retail: every indicator you've ever used is a dumbed-down version of one of these four subjects RSI is momentum statistics. Bollinger Bands are standard deviation. MACD is signal processing they took the math, removed the part that makes it useful, and sold you the wrapper > this roadmap: free, 60 seconds, in this video > same four subjects tested at every quant interview since the 1990s > time to learn properly: 6-8 months with free resources > what they unlock: the actual language Wall Street runs on the information was never gated it was just never packaged for the people who needed it most full breakdown in the video below

delost

34,706 просмотров • 3 месяцев назад

this cowork agent knows which ads will print money 😱 here's the system that knows what meta doesn't: step 1: pull the raw data → pulls Meta ads, GA4 + your source of truth (ie HubSpot, Calendly or a csv) → assumes broken UTMs, disconnected tools, no data eng step 2: map ads by angle → agent re-groups every ad by MESSAGE family (teardown, save-time, founder-led, etc.) → your best message is usually scattered across 3 campaigns + 2 audiences. meta can't see that. → now you can answer the only thing that matters: which angle is producing $ step 3: score buyers not clicks → not CTR. not CPL. not ROAS. → bookings. signups. revenue. whatever moves YOUR business. → 4 questions every day: what's real, what's fake, what's leaking, what's underfed step 4: the 4 outcome truths → REAL WINNER: strong clicks + strong buyers = scale → FAKE WINNER: strong clicks + garbage buyers = cut. no hesitation. → LEAK: good ad + broken page = rebuild page → UNDERFED: quiet crusher at 9% of budget = feed it step 5: find what's breaking → tells you exactly where it breaks: ad, page, or follow-through → last week it caught a founder-psychology ad landing on a generic SaaS page converting 34% below account average → not "something's off." but specific. actionable. step 6: 1 minute brief → 60 seconds brief. lands in cowork/telegram → every rec ships with a confidence tag. low data = no rec step 7: memory that compounds → week 1 finds the obvious fake winners → week 4 it pre-flags curiosity hooks before they become the next fake winner → every cycle is smarter than the last input: meta account + GA4 + one outcome source output: real winners. fake winners. leaks. what to do next. the old way: → triple whale: $300/mo → northbeam: $500/mo → hyros: $500/mo → data analyst: $8K/mo = $9,300/mo of "it depends" this: $0 I packaged the entire system as the Outcome Kit. 3 claude cowork agents + 12 skills: - data reader (meta + GA4 + outcomes. source truth only) - diagnostician (angle mapping + 4 outcome truths scoring) - brief writer (concrete moves + pattern memory) also works with OpenClaw🦞 and hermes (Nous Research). giving it away free. comment MONEY + like + follow (must follow so i can DM)

this cowork agent knows which ads will print money 😱 here's the system that knows what meta doesn't: step 1: pull the raw data → pulls Meta ads, GA4 + your source of truth (ie HubSpot, Calendly or a csv) → assumes broken UTMs, disconnected tools, no data eng step 2: map ads by angle → agent re-groups every ad by MESSAGE family (teardown, save-time, founder-led, etc.) → your best message is usually scattered across 3 campaigns + 2 audiences. meta can't see that. → now you can answer the only thing that matters: which angle is producing $ step 3: score buyers not clicks → not CTR. not CPL. not ROAS. → bookings. signups. revenue. whatever moves YOUR business. → 4 questions every day: what's real, what's fake, what's leaking, what's underfed step 4: the 4 outcome truths → REAL WINNER: strong clicks + strong buyers = scale → FAKE WINNER: strong clicks + garbage buyers = cut. no hesitation. → LEAK: good ad + broken page = rebuild page → UNDERFED: quiet crusher at 9% of budget = feed it step 5: find what's breaking → tells you exactly where it breaks: ad, page, or follow-through → last week it caught a founder-psychology ad landing on a generic SaaS page converting 34% below account average → not "something's off." but specific. actionable. step 6: 1 minute brief → 60 seconds brief. lands in cowork/telegram → every rec ships with a confidence tag. low data = no rec step 7: memory that compounds → week 1 finds the obvious fake winners → week 4 it pre-flags curiosity hooks before they become the next fake winner → every cycle is smarter than the last input: meta account + GA4 + one outcome source output: real winners. fake winners. leaks. what to do next. the old way: → triple whale: $300/mo → northbeam: $500/mo → hyros: $500/mo → data analyst: $8K/mo = $9,300/mo of "it depends" this: $0 I packaged the entire system as the Outcome Kit. 3 claude cowork agents + 12 skills: - data reader (meta + GA4 + outcomes. source truth only) - diagnostician (angle mapping + 4 outcome truths scoring) - brief writer (concrete moves + pattern memory) also works with OpenClaw🦞 and hermes (Nous Research). giving it away free. comment MONEY + like + follow (must follow so i can DM)

Matthew Berman

34,408 просмотров • 5 месяцев назад

Just pulled up Olipop's landing page after seeing their ads everywhere lately and I need to break this down because this is one of the cleaner DTC pages I've seen in a while. Here's what's actually happening when you land on this page and why it converts cold Facebook traffic better than 90% of ecom brands right now: 1) The first 3 seconds Before you read a single word, there's a video of the product being poured, fizzing, bubbling and condensation on the can with no voiceover or text overlay. Your brain processes that faster than any headline ever could. You can almost hear the fizz. That's intentional. They're triggering a sensory response before your logical brain even wakes up. Then the headline hits. "A New Kind of Soda." Now that's a category repositioning. They're not saying "healthy soda" or "better soda." They're saying the entire category you grew up with needs a new version and this is it. Sub-headline says high fiber, less sugar. Targets exactly the person who clicked the health-focused ad on Instagram. Message match is perfect. The person who clicked the ad lands here and immediately feels like the page was made for them. 2) The product carousel Most brands mess this up by showing you the product and making you go through three more pages to add it to your cart. Olipop lets you hover over any flavor and an "Add 12 Pack" button appears right there. One click. Done. You never leave the homepage. That little micro-interaction is doing serious conversion work because every extra click you require is a percentage of buyers you lose. They basically short-circuited the whole buying process and most people don't even notice it's happening. Star ratings under every flavor. Smart. You're not waiting until the reviews section at the bottom to see social proof. It's right there next to the product at the exact moment you're deciding what to buy. Then there's the "Limited" and "Out of Stock" tags on certain flavors. This is a psychological move that a lot of brands either don't use or use badly. When you see Shirley Temple is sold out your brain immediately thinks this must be good enough that people are actually buying it. And now you're looking at everything else thinking you better grab it before it's gone too. 3) The retention play At this point you haven't bought yet and they already know some people won't on the first visit. So right here they drop the rewards program section. Trade your email for perks and points. They're not letting you leave empty handed. Either you buy today or you give them your email so they can bring you back. Both outcomes work for them. Then comes the subscription nudge. 15% off. Free shipping. Cancel anytime. Three objections handled in one sentence. 1. Too expensive? 15% off. 2. Annoying to reorder? Free shipping straight to your door. 3. Scared of being locked in? Cancel whenever you want. That's a complete objection removal stack built into what looks like a simple banner. The people who weren't ready to buy a 12-pack today are looking at that and doing the math. 4) The press section Bloomberg. Forbes. BuzzFeed. Mindbody. This section exists for one reason. You clicked an ad from a brand you'd maybe seen once or twice before. You don't fully trust them yet. These logos close that gap in about half a second. It's institutional validation. You don't need to read the articles. Just seeing the logos tells your brain people with real credibility have looked at this and thought it was worth covering. Background behind this section is a high-res macro shot of condensation on the can. Cold. Refreshing. Premium. Even the section design is doing sensory work. 5) The overall lesson What Olipop figured out is that a landing page for Facebook traffic has one job. Close the trust gap between the ad and the purchase as fast as possible without losing the energy the ad created. Every section of this page does exactly that. Sensory hook gets you in. Category positioning tells you what it is. Carousel with inline add to cart removes friction. Social proof and scarcity show demand. Subscription offer removes price and convenience objections. Press section provides institutional trust. By the time you hit the footer you either already bought or you gave them your email. That's not a landing page. That's a conversion machine. If your page isn't doing all of this right now, that's where your revenue is leaking. Not in the ads. In what happens after the click. DM me ‘FUNNEL’ and I'll show you exactly how to build something like this for your brand.

Nick Theriot

26,389 просмотров • 6 месяцев назад

a $100M founder told us his exact meta ads strategy on mic and my CPMs dropped 50% the same week. here's everything we covered: 1. bid caps are the meta ads cheat code nobody talks about. set your budget to something insane like $1M/day and your bid cap to the max CPA you'll accept. it signals to zuck you've got big balls and opens up the entire auction. my CPMs dropped 50% overnight and I went from burning cash at $1K/day to printing at sub 2 ROAS. if you're raw dogging meta with no bid cap you're lighting money on fire. 2. the $500/week creative team hack. post a job on upwork, get 50 replies, filter to 10 decent ones, pay each $50 for a paid test project. 7 will suck, 3 will be great. you just hired a full ad creative team for $150 in test costs. they care about their star rating so if they bomb you just ask for a refund. tom's pumping out 10-15 ads per week with this setup. 3. AI avatars are replacing UGC creators but most people are doing it wrong. don't just tell chatGPT "generate a girl in a park" — it looks AI as hell. screenshot a viral tiktok, feed it to chatGPT image gen, ask it to keep the same background and lighting but change facial features and clothing. the ads that convert are the ones you can't tell are AI. 4. I'm making $50K/mo from one SEO page. ranked for a top keyword in my industry, sold the #1 spot to a competitor for $14K/mo, put myself at #2, and filled slots 3-8 with affiliate offers pulling $5K/mo. plus $30K/mo from my own offer. one page. purely organic. 5. hire from pakistan. not a joke. $100/page shopify devs that are cracked. entire teams doing cashflow management. the philippines got complacent — pakistan and bangladesh are the new alpha. train them with claude, throw them in the deep end, and they'll 10x output because they have zero ego about using AI. 6. the best heuristic for teaching anyone AI: don't think, just ask. outsource your thinking but never outsource your knowledge. your VA doesn't need to be smart — they need to follow instructions and not have ego about asking a machine for answers. that combo beats a $150K/yr employee who "prefers to think with their brain." 7. AI layoffs are just starting. coinbase drama. cloudflare cut 2000 citing AI directly. the dream job kids — CS degree, S&P 500 company, mid six figures with options — they're the ones getting cut first. meanwhile landscapers, barbers, and locksmiths are thriving. tom is bullish on businesses that require hands. ep 4 of NGMI with Tony Yu and Tom Wang watch/listen ↓

a $100M founder told us his exact meta ads strategy on mic and my CPMs dropped 50% the same week. here's everything we covered: 1. bid caps are the meta ads cheat code nobody talks about. set your budget to something insane like $1M/day and your bid cap to the max CPA you'll accept. it signals to zuck you've got big balls and opens up the entire auction. my CPMs dropped 50% overnight and I went from burning cash at $1K/day to printing at sub 2 ROAS. if you're raw dogging meta with no bid cap you're lighting money on fire. 2. the $500/week creative team hack. post a job on upwork, get 50 replies, filter to 10 decent ones, pay each $50 for a paid test project. 7 will suck, 3 will be great. you just hired a full ad creative team for $150 in test costs. they care about their star rating so if they bomb you just ask for a refund. tom's pumping out 10-15 ads per week with this setup. 3. AI avatars are replacing UGC creators but most people are doing it wrong. don't just tell chatGPT "generate a girl in a park" — it looks AI as hell. screenshot a viral tiktok, feed it to chatGPT image gen, ask it to keep the same background and lighting but change facial features and clothing. the ads that convert are the ones you can't tell are AI. 4. I'm making $50K/mo from one SEO page. ranked for a top keyword in my industry, sold the #1 spot to a competitor for $14K/mo, put myself at #2, and filled slots 3-8 with affiliate offers pulling $5K/mo. plus $30K/mo from my own offer. one page. purely organic. 5. hire from pakistan. not a joke. $100/page shopify devs that are cracked. entire teams doing cashflow management. the philippines got complacent — pakistan and bangladesh are the new alpha. train them with claude, throw them in the deep end, and they'll 10x output because they have zero ego about using AI. 6. the best heuristic for teaching anyone AI: don't think, just ask. outsource your thinking but never outsource your knowledge. your VA doesn't need to be smart — they need to follow instructions and not have ego about asking a machine for answers. that combo beats a $150K/yr employee who "prefers to think with their brain." 7. AI layoffs are just starting. coinbase drama. cloudflare cut 2000 citing AI directly. the dream job kids — CS degree, S&P 500 company, mid six figures with options — they're the ones getting cut first. meanwhile landscapers, barbers, and locksmiths are thriving. tom is bullish on businesses that require hands. ep 4 of NGMI with Tony Yu and Tom Wang watch/listen ↓

Jacky Chou (buying online businesses up to $1m)

77,870 просмотров • 4 месяцев назад

how to use Google's NEW open source Design.md + AI Skills to make your startup look like a $100 million company in 1 hour: 1. Design.md is an open source file from Google that captures the soul of a design. Typography, colors, spacing, all in one markdown file. You attach it to your prompt and your agent builds beautiful things every time. 2. Think of it this way. The HTML is the finished dish. The design.md is the recipe. The skills are the ingredients. Put them together and everything you build looks consistent and professional. 3. Don't create a design system from scratch. Find a brand you love. Linear, Stripe, Vercel, whatever resonates. Study it. Use ChatGPT or Claude to help you extract the design language into your own design.md file. 4. Build skills on top of your design.md. A landing page skill. A mobile app skill. A motion design skill. A slide deck skill. Each one references the same design.md so everything looks like it came from the same designer. 5. The biggest mistake people make: they nail one screen and then everything else looks generic. Design.md solves this. One file keeps every page, every format, every medium consistent. 6. Use it across everything. Your landing page. Your app. Your pitch deck. Your promo videos. Same DNA. Same taste. Same system. That's what separates a startup that looks real from one that looks vibe-coded. 7. Build a second brain for design inspiration. When you see something beautiful in the real world or online, capture it. Save it. When you're building something new, reference it. Taste is developed, not downloaded. 8. It's obvious but the difference between a product people trust and a product people bounce from is how it looks and feels. Design.md gives you that edge. you can watch below shoutout to Meng To for coming on The Startup Ideas Podcast (SIP) 🧃 and walking through his full workflow. if you want to use AI to actually build gorgeous designs, you'll want to use see this. watch

GREG ISENBERG

512,753 просмотров • 4 месяцев назад

Fellow $ILLUSION apes. I'm grateful for all the $ILLUSION apes we've added. A few important notes before I rest. 1. People were not as receptive to "discovering" Solantis as I thought. Going "cryptic" in this PvP environment was the wrong move. ==> Moving forward, we'll send people directly to: (instead of our website) Solantis is our main phase 1 spectacle. Let people judge whether they like us or not before they commit to reading the Apepaper. 2. Again, to clarify how to access Solantis: 1) Go to Apepaper Pro. 2) Go to rabbit hole at the bottom. 3) Password = 💎🥜 Forget about SHILLING the $ILLUSION, but instead focus on SHOWING others Solantis. Let our site do the converting. Let them enjoy. If they like us, they'll join us. If not, that's okay! Trust the process. 3. Again, to clarify, we have a FREE AIRDROP activity on our site. It's the 6th link inside Solantis. 4. I underestimated the ADHD of the trenches. I thought substance alone would shine. No, substance just means early buyers profited while weak hands capitulated. But better now than later. What we're left with is a good foundation of people who believe in the project. We have tons of secret stuff, but we need more momentum. Please feel free to start SPOONFEEDING people any of our stuff from anywhere in our site, as you see fit. I'll start below by sharing our "Ki11 Birds" Sza Parody from our Apepaper. 5. Our parody music is very sticky. (it gets stuck inside your head) Thus, inside the Imaginarium Oasis, we'll add most of the songs there - as free downloadable mp3s. Use it. Make what you wish with it. Get creative. But send them directly to Solantis. 6. Again, tokenomics info are on the tokenomics page. No, I will not be burning supply (unless it's part of the GCR technology). And no, I will not be locking supply "just to build trust" unless we're out of options. My reasoning is because at this stage, I want people here for the right reasons. If our upfront hard work does not convince you that we're the real deal, I'm sorry - you're just not one of us. Shuffle the deck and pick another coin. Or jeet now. Nothing personal. We're just not for you. 7. Again, to clarify, we have an FAQ page. But our Apepaper Pro is more entertaining: 8. Most importantly, in the airdrop page (6th link in Solantis), reading the question entitled "WHY IS THE $ILLUSION?" will explain the true purpose of our project. Thank you. It was great getting to meet many of you, fellow $ILLUSION apes. You're the real $ILLUSION-NATI.

Fellow $ILLUSION apes. I'm grateful for all the $ILLUSION apes we've added. A few important notes before I rest. 1. People were not as receptive to "discovering" Solantis as I thought. Going "cryptic" in this PvP environment was the wrong move. ==> Moving forward, we'll send people directly to: (instead of our website) Solantis is our main phase 1 spectacle. Let people judge whether they like us or not before they commit to reading the Apepaper. 2. Again, to clarify how to access Solantis: 1) Go to Apepaper Pro. 2) Go to rabbit hole at the bottom. 3) Password = 💎🥜 Forget about SHILLING the $ILLUSION, but instead focus on SHOWING others Solantis. Let our site do the converting. Let them enjoy. If they like us, they'll join us. If not, that's okay! Trust the process. 3. Again, to clarify, we have a FREE AIRDROP activity on our site. It's the 6th link inside Solantis. 4. I underestimated the ADHD of the trenches. I thought substance alone would shine. No, substance just means early buyers profited while weak hands capitulated. But better now than later. What we're left with is a good foundation of people who believe in the project. We have tons of secret stuff, but we need more momentum. Please feel free to start SPOONFEEDING people any of our stuff from anywhere in our site, as you see fit. I'll start below by sharing our "Ki11 Birds" Sza Parody from our Apepaper. 5. Our parody music is very sticky. (it gets stuck inside your head) Thus, inside the Imaginarium Oasis, we'll add most of the songs there - as free downloadable mp3s. Use it. Make what you wish with it. Get creative. But send them directly to Solantis. 6. Again, tokenomics info are on the tokenomics page. No, I will not be burning supply (unless it's part of the GCR technology). And no, I will not be locking supply "just to build trust" unless we're out of options. My reasoning is because at this stage, I want people here for the right reasons. If our upfront hard work does not convince you that we're the real deal, I'm sorry - you're just not one of us. Shuffle the deck and pick another coin. Or jeet now. Nothing personal. We're just not for you. 7. Again, to clarify, we have an FAQ page. But our Apepaper Pro is more entertaining: 8. Most importantly, in the airdrop page (6th link in Solantis), reading the question entitled "WHY IS THE $ILLUSION?" will explain the true purpose of our project. Thank you. It was great getting to meet many of you, fellow $ILLUSION apes. You're the real $ILLUSION-NATI.

Kenny

35,542 просмотров • 1 год назад

Want to write thrilling stories? Nick Bilton has the playbook. He's written for Netflix and The New York Times, and this episode is a tell-all class on how to create tension with hooks, cliffhangers, drama, and conflict. Highlights below: 1. Evil characters only work if readers care about them. 2. The best way to make readers care about an evil character is to humanize them. You can do that by focusing on simple details like how they lose their keys. Or, you can write about their mother because every murderer has a mother who loves them. 3. You can't look down on your characters. You have to look out with them. 4. Rule for writing screenplays: Get into the scene as late as you can, and get out of it as early as you can. 5. Fiction stories have the opposite shape as non-fiction ones. 6. In fiction, the kicker comes at the beginning and the summary comes at the end. In non-fiction, the summary comes at the beginning and the kicker comes at the end. 7. How’d Nick learn to tell better stories? By reading murder mysteries. 8. If the story's good enough, the book will fly off the shelves. Look at the Twilight series. The books sold like crazy even though the writing stinks. 9. How do you write good cliffhangers? Show people a little bit of the future, but don't reveal everything. 10. Ask the question at the end of one chapter and answer it shortly after. The answer doesn't need to come right away, but you have to answer it soon. 11. There are two kinds of stories that work: Big ones about something small, and small ones about something big. Stories in the middle are usually terrible. 12. Nick once asked the legendary journalist David Carr for advice. The response: “Keep typing until it turns into writing.” 13. You can tell a good story without knowing everything that happened, but you do need to know enough to make the reader feel like they're there. 14. Writers often over-describe their scenes. You only need three details. For example, if you're at a campground, you might only need the sight of the pine needles on the ground, the smell of a nearby campfire, and the sound of crickets in the distance. 15. We admire characters more for trying than their successes (this is rule #1 in Pixar's 22 Rules of Storytelling). That's just a little taste of what's in this episode with Nick Bilton. You can watch the full thing below. If you'd rather watch on YouTube or listen on Spotify or Apple, and I've shared those links in the reply tweets.

Want to write thrilling stories? Nick Bilton has the playbook. He's written for Netflix and The New York Times, and this episode is a tell-all class on how to create tension with hooks, cliffhangers, drama, and conflict. Highlights below: 1. Evil characters only work if readers care about them. 2. The best way to make readers care about an evil character is to humanize them. You can do that by focusing on simple details like how they lose their keys. Or, you can write about their mother because every murderer has a mother who loves them. 3. You can't look down on your characters. You have to look out with them. 4. Rule for writing screenplays: Get into the scene as late as you can, and get out of it as early as you can. 5. Fiction stories have the opposite shape as non-fiction ones. 6. In fiction, the kicker comes at the beginning and the summary comes at the end. In non-fiction, the summary comes at the beginning and the kicker comes at the end. 7. How’d Nick learn to tell better stories? By reading murder mysteries. 8. If the story's good enough, the book will fly off the shelves. Look at the Twilight series. The books sold like crazy even though the writing stinks. 9. How do you write good cliffhangers? Show people a little bit of the future, but don't reveal everything. 10. Ask the question at the end of one chapter and answer it shortly after. The answer doesn't need to come right away, but you have to answer it soon. 11. There are two kinds of stories that work: Big ones about something small, and small ones about something big. Stories in the middle are usually terrible. 12. Nick once asked the legendary journalist David Carr for advice. The response: “Keep typing until it turns into writing.” 13. You can tell a good story without knowing everything that happened, but you do need to know enough to make the reader feel like they're there. 14. Writers often over-describe their scenes. You only need three details. For example, if you're at a campground, you might only need the sight of the pine needles on the ground, the smell of a nearby campfire, and the sound of crickets in the distance. 15. We admire characters more for trying than their successes (this is rule #1 in Pixar's 22 Rules of Storytelling). That's just a little taste of what's in this episode with Nick Bilton. You can watch the full thing below. If you'd rather watch on YouTube or listen on Spotify or Apple, and I've shared those links in the reply tweets.

David Perell

81,036 просмотров • 2 лет назад

WATCH ME BUILD AN AI BUSINESS FROM SCRATCH (EPISODE 1) I'm building an AI services business from scratch, on camera, with 4 rules: -100% cold outreach -No audience -No network -60 minutes a day max The scoreboard is how many days it takes a total stranger to pay me $500. Here's the entire model: 1) The niche is tree services in Charlotte. High ticket, no private equity, and after-hours emergencies where the first person to answer wins the job. 2) The offer: a built and hosted website, an AI-powered speed-to-quote form, and a Google Business Profile cleanup. $500 flat. 3) The website IS the lead magnet. We build it first, give it away free, and charge $500 to install and host it. 4) Five agents inside Hyperagent run everything. Prospector, Opener, Sitesmith, Fulfiller, and an Account Manager upsell. 5) The Prospector dispatched 8 subagents, scraped 494 businesses, and verified 98 real leads. Done in 30 minutes. 6) The competition is a joke. The first five "websites" on my list: a blank page, a 404, two dead links, and a redirect to a crypto gaming site. 7) First-touch texts: under 160 characters, no links, no emojis, no mention of AI. "Hey, do y'all still do tree removal in Charlotte? Found you on Google. Corey." 8) The agent wrote "y'all" on its own. Sounding like a neighbor, not a company, is the whole reply-rate game. 9) 60 minutes a day covers 25-50 outreach attempts. Outreach is the only work that actually makes money. 10) All 5 agents get given away free in episode 4, plus $1,000 in free Hyperagent credits at the link in the YouTube subscription. Enough to run my entire lead scrape 6 times over. Two things that I'm looking to accomplish here: 1) Strip away every advantage and prove the model still works. If it works with no audience and one hour a day, nobody has an excuse left. 2) Give away the finished deliverable, not a pitch. An owner looking at their own new website doesn't need convincing. Full breakdown below. (also available on the Build With AI podcast)

Corey Ganim

39,767 просмотров • 2 месяцев назад

📢 500,000 $PIEVERSE Red Packet Campaign Airdrop ~ part 2 pieverse launched the OKX red packet campaign with where users can send/receive packets to climb the leaderboard for bigger rewards 🤝 If you're new, first complete the setup guide (Part-1): Now here’s how to send & receive red packets 👇 🔗 go to: 1️⃣ bridge funds to x layer you’ll need: – $USDT0 on Xx layer – small amount of $OKB for gas Steps: – open rabby wallet – bridge ETH/USDT from arbitrum or base to x layer – bridge small $OKB amount for gas fee (~$0.1–$0.2 enough) – then bridge your $USDT0 (bridging may take 10–20 mins) 2️⃣ deposit into your claw – open Pieverse web – open your claw → manage – copy your deposit address – send $USDT0 there from rabby – wait & refresh You can withdraw anytime later 🤝 3️⃣ send red packets – open the pieverse telegram bot use this prompt: "send a USDT0 red packet to .pie for USDT0 on x layer." Example: send a $USDT0 red packet to smolwyne.pie for 10 $USDT0 on X Layer. – send the prompt in bot – wait for confirmation – done 👀 4️⃣ claim received packets – If someone sends you packets, the TG bot will notify you – use the claim command from the bot: "help me claim all pending redpackets" – open your claw & check balance ⚠️ claim in 24hours, otherwise it’s will expired You can: – withdraw funds – or resend packets to others 5️⃣ how to rank higher? – send packets to UNIQUE addresses – avoid repeatedly sending same address ⚠️ If you don’t have friends to exchange with, you can temporarily use my IDs: – smolwyne.pie (send today) – ishika.pie (send todey) 6️⃣ check leaderboard – open okx campaign page – check leaderboard section Campaign may run for around 10 more days 👀 7️⃣ withdraw funds after finishing: – withdraw $USDT0 back to rabby – bridge back from x layer → arbitrum/base – all done ✅ So basically: send/receive packets → rank up leaderboard → become eligible for bigger $PIEVERSE rewards. If anything is confusing, comment below 👇

📢 500,000 $PIEVERSE Red Packet Campaign Airdrop ~ part 2 pieverse launched the OKX red packet campaign with where users can send/receive packets to climb the leaderboard for bigger rewards 🤝 If you're new, first complete the setup guide (Part-1): Now here’s how to send & receive red packets 👇 🔗 go to: 1️⃣ bridge funds to x layer you’ll need: – $USDT0 on Xx layer – small amount of $OKB for gas Steps: – open rabby wallet – bridge ETH/USDT from arbitrum or base to x layer – bridge small $OKB amount for gas fee (~$0.1–$0.2 enough) – then bridge your $USDT0 (bridging may take 10–20 mins) 2️⃣ deposit into your claw – open Pieverse web – open your claw → manage – copy your deposit address – send $USDT0 there from rabby – wait & refresh You can withdraw anytime later 🤝 3️⃣ send red packets – open the pieverse telegram bot use this prompt: "send a USDT0 red packet to .pie for USDT0 on x layer." Example: send a $USDT0 red packet to smolwyne.pie for 10 $USDT0 on X Layer. – send the prompt in bot – wait for confirmation – done 👀 4️⃣ claim received packets – If someone sends you packets, the TG bot will notify you – use the claim command from the bot: "help me claim all pending redpackets" – open your claw & check balance ⚠️ claim in 24hours, otherwise it’s will expired You can: – withdraw funds – or resend packets to others 5️⃣ how to rank higher? – send packets to UNIQUE addresses – avoid repeatedly sending same address ⚠️ If you don’t have friends to exchange with, you can temporarily use my IDs: – smolwyne.pie (send today) – ishika.pie (send todey) 6️⃣ check leaderboard – open okx campaign page – check leaderboard section Campaign may run for around 10 more days 👀 7️⃣ withdraw funds after finishing: – withdraw $USDT0 back to rabby – bridge back from x layer → arbitrum/base – all done ✅ So basically: send/receive packets → rank up leaderboard → become eligible for bigger $PIEVERSE rewards. If anything is confusing, comment below 👇

wyne

24,194 просмотров • 4 месяцев назад

Jev just became the fastest-adopted model in AI history. here's what people already built with it 1. jev-ultrafast - the browser agent that picks every click itself, only calling a text model when it actually needs to type something. found real flight results in 7 seconds for $0.0039. 16,758 stars 2. jev-trader - real trading bot placing live limit orders on Monad every 300ms block, judged by Jev alone. 1,911 stars 3. jev-usecases - production security-operations harness where Jev triages incidents and gates every escalation behind a confidence cutoff before anything touches real infrastructure. zero false escalations in the committed test set 4. tax-doc-classifier - sorts real IRS tax forms with 100% strict accuracy across 261 forms, at roughly $0.001 a page 5. jev-drone - a simulated quadrotor clears a five-station obstacle course by camera alone, Jev judging the situation twice a second 6. killmyidea - describe your startup idea, Jev scores it from every angle, then hands back kill, fix, or ship in seconds, not days 7. jev-curate - streams Parquet and JSONL rows through typed judgments at 1,500+ rows a second, keeping only what clears the bar 8. pg-jev - a PostgreSQL extension that lets you ask your own database tables plain-English questions and get a real answer back, no SQL required eight repos. zero generated words. every single one returns a typed answer against a question someone already defined full setup below, then run the three-question test from the article before you build a ninth

Jev just became the fastest-adopted model in AI history. here's what people already built with it 1. jev-ultrafast - the browser agent that picks every click itself, only calling a text model when it actually needs to type something. found real flight results in 7 seconds for $0.0039. 16,758 stars 2. jev-trader - real trading bot placing live limit orders on Monad every 300ms block, judged by Jev alone. 1,911 stars 3. jev-usecases - production security-operations harness where Jev triages incidents and gates every escalation behind a confidence cutoff before anything touches real infrastructure. zero false escalations in the committed test set 4. tax-doc-classifier - sorts real IRS tax forms with 100% strict accuracy across 261 forms, at roughly $0.001 a page 5. jev-drone - a simulated quadrotor clears a five-station obstacle course by camera alone, Jev judging the situation twice a second 6. killmyidea - describe your startup idea, Jev scores it from every angle, then hands back kill, fix, or ship in seconds, not days 7. jev-curate - streams Parquet and JSONL rows through typed judgments at 1,500+ rows a second, keeping only what clears the bar 8. pg-jev - a PostgreSQL extension that lets you ask your own database tables plain-English questions and get a real answer back, no SQL required eight repos. zero generated words. every single one returns a typed answer against a question someone already defined full setup below, then run the three-question test from the article before you build a ninth

rvaniaaa

82,486 просмотров • 4 дней назад

You are full of shit. That is what I told my friend when he said he turned $800 into $47K in 6 weeks. Then he showed me his phone. I felt sick. Not because he was lying. Because he wasn't. 43 trades. 41 wins. 2 losses. The screenshot was real. Every single position closed in profit. Did you find some insider source? I asked. He laughed. I don't even read the news anymore. Then he showed me something that broke my brain: He doesn't pick the trades. He mirrors them. There is a wallet on Polymarket that's up 940%. Not luck. Not once. Three months straight of winning. See for yourself: My friend's entire strategy: → Wake up → Check if that wallet traded → Copy the exact position within 60 seconds → Go back to sleep No research. No FOMO. No what if I'm wrong. He's literally parasiting on someone else's edge. And here's the part that made me feel sick: While he's printing money on autopilot I'm reading 30-page election analyses at 2am. Spending hours cross-referencing polls. Building spreadsheets. Overthinking every single trade. He's not smarter than me. He's not richer. He's not connected. He just stopped pretending manual trading isn't a scam. I asked him: What if that wallet stops winning? He shrugged: Then I find another one. There's always a new king. Cold. Calculated. Zero emotion. This isn't trading. This is systematic theft from people who still think effort matters. Yesterday I started doing the same thing. I found the wallet. I set up alerts. I copied 4 trades. I'm 4/4. I've spent zero hours on research. My friend was right. The market doesn't reward the smartest. It rewards the fastest shadow. You can keep reading reports at 3am. You can keep building models that should work. Or you can accept the truth: Someone already figured it out. Your job isn't to be smarter. Your job is to copy faster. P.S. I won't name the wallet. But if you know where to look on Polymarket you'll find it. Top performers. Recent volume. Consistent win rate above 90%. They're not hiding. You're just not looking.

You are full of shit. That is what I told my friend when he said he turned $800 into $47K in 6 weeks. Then he showed me his phone. I felt sick. Not because he was lying. Because he wasn't. 43 trades. 41 wins. 2 losses. The screenshot was real. Every single position closed in profit. Did you find some insider source? I asked. He laughed. I don't even read the news anymore. Then he showed me something that broke my brain: He doesn't pick the trades. He mirrors them. There is a wallet on Polymarket that's up 940%. Not luck. Not once. Three months straight of winning. See for yourself: My friend's entire strategy: → Wake up → Check if that wallet traded → Copy the exact position within 60 seconds → Go back to sleep No research. No FOMO. No what if I'm wrong. He's literally parasiting on someone else's edge. And here's the part that made me feel sick: While he's printing money on autopilot I'm reading 30-page election analyses at 2am. Spending hours cross-referencing polls. Building spreadsheets. Overthinking every single trade. He's not smarter than me. He's not richer. He's not connected. He just stopped pretending manual trading isn't a scam. I asked him: What if that wallet stops winning? He shrugged: Then I find another one. There's always a new king. Cold. Calculated. Zero emotion. This isn't trading. This is systematic theft from people who still think effort matters. Yesterday I started doing the same thing. I found the wallet. I set up alerts. I copied 4 trades. I'm 4/4. I've spent zero hours on research. My friend was right. The market doesn't reward the smartest. It rewards the fastest shadow. You can keep reading reports at 3am. You can keep building models that should work. Or you can accept the truth: Someone already figured it out. Your job isn't to be smarter. Your job is to copy faster. P.S. I won't name the wallet. But if you know where to look on Polymarket you'll find it. Top performers. Recent volume. Consistent win rate above 90%. They're not hiding. You're just not looking.

Blaze

23,073 просмотров • 8 месяцев назад