pagm. |

someone found a trader on Polymarket who turned $17 into $22,457. wrote a thread about it. Claude helped write it in 25 minutes. that thread got 1.4M impressions. X paid for the views. Polymarket paid for every new signup through the referral link. he made money twice. from one post. about someone else's trade. the trader stories are public. the leaderboard is public. the data is free. the only thing missing was someone who bothered to tell the story. this is a full system — X monetization, Polymarket referrals, a digital product, a newsletter. $1,150–3,000/mo by month 6. tools cost $62/mo. daily time: 30–45 minutes. full breakdown in the article ↓

@AIVersePlay This is unreal, bro

DÜNYANIN EN ÇOK KULLANILAN 100+ UYGULAMANIN KAYNAK KODU ÜCRETSİZ Bir geliştirici yıllar önce bir repo yayınladı. Adı clone wars. 34.600 yıldız 3.100 fork ve büyümeye devam ediyor. İçinde ne var. Dünyanın en çok kullanılan uygulamalarının 100’den fazla açık kaynak klonu. Her birinin kaynak kodu var. Canlı demosu var, teknoloji yığını var. Öğrenmek için başka bir şeye ihtiyacın yok. Görmeye değer 10 tanesi şunlar

@me_cool_off Getting good results is pretty easy if you approach it smartly

This bot made +$75,000 in one month with a 99.6% win rate on 5-minute markets! Account: polymarket.com/0xf3ce251f9c4a… 29,500 trades. 29,393 wins. 107 losses. Gains: +$163,000. Losses: -$88,000. The bot runs a near-expiry scalping strategy, buying 99¢ outcomes before resolution. Why it works: > most traders won't touch 99¢ outcomes - the upside looks too small > the bot cares about certainty-adjusted volume, not margins > human traders often exit early, leaving near-certain outcomes mispriced The bot applies the same approach on sports markets when one team has effectively already won. The edge is capturing these mispricings at scale. Just 107 (0.4%) losing trades erased over half of the gross profit. So this strategy is far from risk-free. Still, full automation and massive volume generate around +$2,500/day. Learn more about this strategy in the article. Save it.

@edt_arko Yesss, they really work :)

£142,485 in 6 months. The girl who earned it was never born. Her name is Aria. 90k followers. A face, a voice, fans who message her every night. None of it is real. She's 100% AI — built on a laptop by a guy who's never shown his own face once. 4 income streams. 0 employees. 0 studio. She works 24/7 and never asks for a day off. The girl is AI 👇

@linda6248130564 He wanted it, found a solution, and made it happen

一位创始人把整个团队，全换成了跑在Telegram群里的AI智能体👇 一个负责领英运营，一个打理YouTube频道，一个撰写电子报，还有一个处理财务核算。每个AI都认领专属工作，完成后就在群里同步进度，和真人同事一模一样——区别是，它们永远在线、永不离线 他完全不用管理，只需要看消息就行： ✅“内容已成功发布” ✅“本月累计产出150篇内容” TikTok、Instagram、YouTube……多平台内容同步自动分发，他只需要在一旁看着系统自动运转 大多数人还在用AI做些小工具、小玩具，却很少有人把它打造成这样的完整体系 能对话的贾维斯只是一个助理；而这是一整家公司——所有“员工”，都是基于Claude驱动的智能体 他一个人都没招，靠代码，直接搭出了一支完整的团队 更夸张的是：现在，任何人都能复刻这套系统

@Awakend_Citizen This is more interesting than football😂

おっぱいガン見してるところを全世界に中継されたオッサンの今後が気になる

@chewadot She did it, and anyone can do it too. Maybe not on the same scale, but it’s definitely possible

A GIRL IN MONTREAL OPENED HER SHOPIFY WHILE CONFIGURING A BMW M3. THE STORE HAD CROSSED $412,000 IN 3 MONTHS $412,491 in sales. 4,084 orders. 17 books she never wrote Opens ChatGPT. Gives it a topic and a page count. Gets 80 pages. Hands the manuscript to Claude. Claude designs the cover. Uploads to Shopify. Sets it at $19. Then she closes the laptop She hasn't read a single one of her own books. The bestseller is about beekeeping. She doesn't keep bees Runs the whole catalog from her phone, picking M3 trims between order notifications You're reading this on a device that could write the same book tonight

@borntogambles bro, this is insanely cool

Day 8 of copying YouTubers who clear $10,000 a month. Today's channel: Dr. Scary. 40 million views a month, zero original footage. A 20-something in the US runs the same playbook and makes $1,800 in his first two weeks. Dr. Scary banks hundreds of dollars a day doing one thing: scary clips, voiceover, upload. The trigger scene: he opens a brand-new TikTok at his kitchen table and follows every page in the horror niche. What's the trick? Train the feed. Show me scary. Show me only scary. Show me nonstop. Within days the algorithm serves nothing but raw material. He grabs a clip, pastes the link into viewmax io. The AI strips the captions. The remix feature writes a new script and a fresh voiceover. Out comes a video that reads as his own. Upload to a new channel. Repeat tomorrow. He did it every day for months. 847 followers became real money. $1,800 in 14 days against $20 in tools. The channel he copied clears 40 million views while he sleeps. He started by following strangers and ended up owning the feed.

@AshCrypto i sold everything a long time ago, I’m waiting for a drop so I can buy a bit again😁

Bitcoin and ETH just posted their highest daily close in 12 days after the recent sell-off. $BTC is back above $65k, up 11% from the recent low of $59k. $ETH is back above $1,700, up 15% from the low of $1,500. +$206 billion has been added to the crypto market in the last 10 days.

@fomoliver A good example of how it should be done

A guy makes $18,420 a month off beautiful Champions League fans. His channel has 2.7 million followers. Each clip averages 1.8 million views. And he hasn't watched a single match to the end. The business model is unique. The Champions League has 144 league phase matches plus 45 more in the knockouts. Every broadcast (beIN Sports, Sky Sports, DAZN, ESPN) at the fifth minute with the score still 0:0 shows close-ups of the stands. That's UEFA's standard instruction to operators. A script monitors four broadcasts in real time. EasySlice clips them. A TikTok bot posts. One season has 945 minutes of this window. 700-900 ready clips, damn. All from someone else's content, on someone else's stands, with someone else's girls. Except for one small thing. These girls don't exist. The beIN Sports scoreboard font is slightly thicker than the real one. The face lighting is identical across four "different broadcasts". The graphics are too clean. These clips aren't from broadcasts. Veo3 is running in industrial mode. No fans were there. No beIN Sports broadcast happened. No scoreboard graphics existed. > Veo3 drew the frame. > The crowd generator layered the noise. > TikTok advertisers pays for every thousand views. Pause at 0:05. PAR 0-0 ARS, 5-00, beIN Sports 1. A girl in an Arsenal jersey sits in the middle of the PSG stand. Too clean a composition for random operator work. And in the same 14-second clip there are three more "different broadcasts" at the same 5-00. Real operators from three countries don't line up like that. UEFA sells broadcast rights for €4.5 billion. Thousands of operators, accreditations, lawyers in every participating country. The guy with a Veo3 subscription at $250 a month pays no one. Not for the match, not for the operator, not for the license. The old fan-cam industry clipped real broadcasts. The new one generates from scratch. Between these two models is exactly one Champions League season.

someone is taking 3-hour YouTube podcasts, cutting them into 60-second clips, posting them on TikTok and Instagram, and getting paid by the creators to do it. no camera. no studio. no original content. they didn't create anything — they just found the best 60 seconds inside something that already existed. AI now does the finding. it watches the full video, identifies the moments with the highest engagement potential, cuts the clip, adds captions, formats it for vertical. the whole process takes minutes. one person runs 6 creator accounts this way. $3,000–8,000/month. the creators get clips they were too busy to make themselves. the clipper gets paid for a workflow that mostly runs without them. the content already exists. millions of hours of it. sitting on YouTube unwatched past the first 20 minutes. someone is getting paid to unlock it. that someone doesn't have to be the person who filmed it.

@israfill the real value is for research and competitive intel agents that don't need production-scale reliability. for prototyping and agentic research this removes the biggest cost barrier

your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳 agent-reach is trending on github with 23K stars. it lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos - all without paying for a single API subscription what your agent accesses for $0: - Twitter/X posts, profiles, and search - Reddit threads and comments - YouTube videos, metadata, and search - GitHub repos, issues, and profiles - 10+ more platforms - all in one pip install what this replaces: - Twitter API: $100/mo for basic access - Reddit API: rate-limited free tier, expensive at scale - YouTube API: quota limits, pay for more - GitHub API: generous but still rate-limited why this matters: - most AI agents are blind to the internet because APIs cost money - this gives any agent real-time web access at zero marginal cost - perfect for research agents, content radar, competitive intel, market analysis how to set up (2 min): > pip install agent-reach > run: agent-reach doctor > connect it to your agent as a tool > done - your agent can now search the internet for free important: - uses direct parsing, not official APIs - no keys needed - works with claude code, cursor, aider, langchain, any agent framework - MIT licensed, fully open source - not for production web scraping at scale - use for agentic research and prototyping - 23K stars and trending - community vetted let your agent browse Twitter, Reddit, and GitHub for $0 while everyone else is paying $100+/mo for API access bookmark this before payying for extra api ↓ repo in comment

@0xCristal live funding rates and open interest fed directly into Claude is a different tool than static chart analysis. the context layer is what changes the output quality

🚨THIS GIRL JUST TURNED CLAUDE INTO A LIVE MARKET ANALYST BY PASTING ONE URL!! Liquid's MCP connector feeds Claude live funding rates, open interest, leverage limits, and crowd positioning across S&P 500, NASDAQ 100, Gold, BTC, and Brent, all at once Setup takes ~30 seconds: Settings → Add custom connector → paste Liquid URL → authorize It sounds gimmicky until you see the output: NASDAQ 100: long bias, $404M OI, balanced positioning, 0.0006% funding. Claude links Dell's +30% earnings to AI demand and calls for intraday follow-through Gold: strongest momentum. Not crowded. Still room BTC: $2.3B OI (highest). Claude ties major AI headlines to crypto risk appetite; funding elevated but not extreme Five markets. Live data. Directional thesis + catalysts + positioning, in one prompt Most retail traders still pay $50/month for newsletters with less context than a single Claude response plugged into live markets Bookmark this! The edge is now one connector URL

@0xCortexl leaving means losing your entire coaching history. that's not a subscription fee, that's a switching cost. how long until the first competitor copies the retention mechanic?

THIS 7-YEAR-OLD VIBE CODED A FITNESS APP WITH CLAUDE AND IS ALREADY SELLING PERSONAL TRAINING CONSULTATIONS built a system that remembers every workout, every meal, every plateau and every injury - the kind of memory a real trainer builds over years of working with a client personal trainer at $200/hour forgets everything between sessions - his app never forgets anything and gets smarter every single day the app tracks progressive overload on every lift, notices when strength stalls and tells you exactly why - nutrition, sleep, recovery or training frequency 100 subscribers at $9.99/month - $999/month - infrastructure costs under $100 - Claude API under $500 - net margin 95%+ most 7-year-olds spend money on games - he built a fitness app, used it himself and now sells access to everyone else the longer someone uses it the more valuable it becomes - leaving means losing their entire coaching history - that's the retention mechanic that keeps people paying forever

@Lummox_eth very interesting topic, definitely worth learning more about it

A 23yo GUY BUILT A $43,000/MONTH AI MODEL BUSINESS WITH 3 AI TOOLS WHILE STUDYING FULL TIME. Claude Code writes every script and manages the entire content workflow automatically. Fanvue generates visuals and thumbnails. ElevenLabs creates a consistent voice across every video. No editing team. No production costs. One person, three tools, fully autonomous output. The average revenue per subscriber sits around $34. Top fans have spent nearly $2,000 on content alone. The system runs 24/7 with no burnout and no human intervention between sessions. Each tool does one job and the three together replace an entire production team. The barrier between an idea and a monetized audience has never been lower. The creator is not behind the keyboard. The system is.

@L1vsun curious how the $28k account strategy holds up in a high volatility month. $2,600-$3,100 consistent monthly return sounds clean until the backtest assumptions stop matching live conditions

hedge funds charge 2-and-20 to run code you can clone from GitHub right now not joking. exact risk and backtesting frameworks prop desks use internally - open-source versions exist, maintained, 40k+ stars i mapped 50 of them last week vectorbt, riskfolio-lib, alphalens, zipline-reloaded, pyfolio backtesting, portfolio optimization, factor research, execution simulation - full systematic stack, free person i know set this up on a $28,000 account last january, pulls $2,600-$3,100/month in 2026 infrastructure is a $6/month cloud VPS and yfinance for daily data. that's the entire cost hedge funds know retail could clone this tomorrow and aren't worried Bookmark this before it disappears most people who find repos have no idea how pieces connect - that's the moat, not the code it's not access. it's knowing which 50 repos out of 400,000 on GitHub matter and how to wire them together gap is smaller than it's ever been

@sunaiuse been looking at the Google review automation niche for a while. the Zapier + Square trigger is cleaner than I expected — going to test this with a local client this week

Nobody is building SaaS apps in 6 minutes and charging $500/month for it. A guy just did it for local restaurants. Here's exactly how. He typed 1 prompt into Emergent Mind. Got back a full-stack app. Database, login system, messaging dashboard, separate logins for each business owner. The whole thing — in minutes. But the real move wasn't the build. It was the automation. He connected it to Zapier. Customer pays via Square or books via Calendly → 2 hours later they get a one-tap link → Google review lands. Zero manual work for the restaurant owner. Ever. He added an analytics dashboard so the owner sees exactly how many reviews came in that month. That's the closer. Visual proof = they keep paying. Then he published it on Emergent. No hosting. No servers. No DevOps. Total cost to run: near zero. Price he charges businesses: $500/month. Every restaurant, dentist, and barbershop in your city needs more Google reviews. Most of them have no system at all. You're not selling software. You're selling booked tables and 5-star pages. The app already exists. The customers already exist. Start your businnes now.

@neil_xbt most people calling their Claude setup an "agent" are just running a chatbot with a longer prompt. the difference is whether it delivers a finished output without you watching

YOUR AGENT RUNS AT 7AM WHETHER YOU ARE AWAKE OR NOT. That is the entire difference between a chatbot and an agent. A chatbot does one thing and waits. An agent does a sequence of things and delivers a finished output. Three builds. Each one replaceable with zero code. Research-to-article agent built in Claude Projects. Three-word input. Five automated steps. Complete polished article. Two to three hours of manual work replaced by one instruction. File processing agent built in Cowork. Every PDF in a folder read, summarized, and action items extracted. Master summary document created. Twenty PDFs processed while you do something else. Scheduled morning agent. Gmail checked, emails categorized, responses drafted, calendar summarized, briefing saved to your desktop. Every weekday at 7am. You wake up to the briefing. No coding required. No API keys. No terminal commands. Your first agent can be running today. Bookmark this so you do not lose it! Follow @neil_xbt for more Claude agent builds that show you what no-code automation actually looks like from start to finish.

@RetroChainer editing used to eat the whole day. now it runs 45 minutes without you. how accurate is the take selection when the goal is vague?

$5K - $9K a month comes from one person who built a single video pipeline 17 raw takes turned into one finished video and not a single traditional video editor was ever opened Fable 5 read the transcripts itself and picked the best takes cut them to timecode, color-graded, and added animated titles on its own you send one /goal and come back to a finished rough cut the editing that used to eat a whole day now runs 45 minutes without you one person comfortably runs several channels at the same time