Ventry

@slash1sol i'm starting to not tell them apart haha

@ventry089 looks very realistic

an AI influencer is two tools and an evening. one of them made $9,800 last month the entire stack is pinterest and higgsfield ai pinterest gives you the face. higgsfield motion control takes any video of you and maps the movement onto the face. output is an AI girl posting on tiktok 45,000 followers in 30 days. 12 million views. 9,000 on instagram, 4 million views there tiktok runs reach. instagram captures intent. telegram warms the audience. paid platform collects revenue. dms retain and upsell first paid push - 170 purchases at $10. in a month - 300 paid subs, $8,700 in revenue, $1,100 from custom dms. one guy paid $53 just to move the conversation to instagram costs $430. profit $9,370 if you want it self-hosted - github.com/SamurAIGPT/AI-… ->stable diffusion for the face, gtts for the voice, sadtalker for lip sync. open source pipeline from prompt to video the face isn't the product. AI generates a million of these a day the product is access to a character that doesn't exist AI faces are commodity. characters you remember aren't. that's the whole game

@slash1sol @Markets_xyz he def didn't get lucky haha

This trader on @Markets_xyz is sitting on the most insane open book i've seen. [Loracle] is down $29,000,000 on a single hyperliquid:native short and he still hasn't closed it. > 209,720 trades. > 56.3% profit rate. > $17.32M all-time profit. His closed trades: $9,873 -> +$695,142 (+7,040%) $7,860 -> +$151,499 (+1,927%) $686,655 -> +$505,893 (+73.6%) Now he's short $82M on hyperliquid:native with 5x leverage and bleeding $29.2M unrealized. Still hasn't flinched. Watch what happens next: markets.xyz/mobile-app/u/s…

@Chexxee gotta build an image for her so ppl love her a lot of ppl have fav streamers that they wanna see every day

@ventry089 money out of thin air until the model gets boring and the audience moves on

@ArchiveExplorer wow what's such a huge salary for

HRT engineer: "almost every trade we make goes through an AI model" and he goes even further "we build the most predictive deep-learning models for finance in the world" 5 minutes inside their AI lab - the skillset HRT pays seniors up to $950k+ for here's what's inside: > ~5% of all US stock trading flows through their models > petabytes of data - every trade in market history > compute nearly on par with Google and Meta - just to trade > how they break the "smarter vs faster" tradeoff and do both at once most traders still think "AI in trading" means a chatbot spitting out buy signals meanwhile firms like HRT have spent a decade making sure AI touches every single trade they make watch the full video, then read the article below

@Giahuy984g glad u liked it thanks

@ventry089 素晴らしい成果ですね！AIを活用して新しいキャラクターを作るアイデアは面白いです。成功を祝福します！

@Nekt_0 ai is developing too fast i can't tell it apart from irl anymore

@ventry089 I think this is best experiment in AI sector

@Skaly__Bull i love that u can create endless models

@ventry089 while people waste time arguing if AI models are real simple two-tool pipelines are draining millions of views and converting them into pure cash)

@gippp69 agreed but the main thing is it's pretty profitable

@ventry089 It's really not that difficult actually

@leopardracer the repo really saves a lot of time

@ventry089 saved this repo

@insomnia_vip money out of thin air haha

@ventry089 now it's rly easy make with ai tools

there's even more alpha in my channel t.me/ventry1

@helicerat0x cool story bro

a quant researcher had a hypothesis: Jane Street was engineering expiry days he told Claude: find every reason this is wrong it couldn't here's what he found instead: > expiry morning: Jane Street bought up to 23% of single-stock volume, pushed Bank Nifty up 1-1.3% > simultaneously: massive short options quietly accumulated > afternoon: dumped everything. index crashed into their puts > one day: -$7.5M on the underlying. +$89M on the options he loaded the 105-page SEBI order into Claude as a hostile reviewer 50 follow-up queries after that total cost: $4 SEBI spent a year and a full analyst team to document the same pattern 7.3x - options notional vs underlying - is now a live detector any HFT fund running this structure leaves the same fingerprint in public data in 2020 this analysis cost $50,000 and a quarter of senior analyst time

@sopersone perfect pnl

DAWN: this guy made 108,846 predictions and earned $542,000! he has been trading since the beginning of March and holds a 55% win rate for trading he only uses 3 types of markets: > 5 min up/down > 15 min up/down > 1 hour up/down he doesn't risk large amounts he bets range from $1-$2,000 you might think it's a bot, but honestly I believe he trades manually without any automation his profile: @ohanism?via=sopersone" target="_blank" rel="nofollow noopener">polymarket.com/@ohanism?via=s…

@thegreatest_sv think he def enjoys doing this

THIS AI HARDWARE STARTUP JUST HUMILIATED THE ENTIRE CONTRACTOR INDUSTRY A solo developer watched tech companies spend $50k+ on custom hardware engineering and field-testing for rugged equipment. He decided to build a viral, military-grade AI tactical unit using cheap open-source repositories and a 3D printer. Now he’s sitting on the world’s #1 rated survival AI app, a backlogged physical queue, and inbound calls from Search & Rescue and the US Military. The insane part? He bypassed traditional R&D entirely using standard "Vibe Coding" workflows.

@Nekt_0 i've seen this diana somewhere haha

@sopersone @Markets_xyz what an impressive winrate they have

On @Markets_xyz not only whales with iphone 17 pro max are making money but also regular traders with iphone 12 here are the top 3 traders of the week: /1/ liftingasks - start march 26 - +10992$ - 154 trades - 74.7% win rate /2/ mtrades - start march 26 - +6340$ - 13 trades - 92.3% winrate /3/ cikcapital - start march 26 - +3135$ - 1298 trades - 74.1% winrate from my observation the best traders gathered right here haha who to follow - sniper mtrades with 13 perfect trades or the machine cikcapital with 1298 non stop? or maybe liftingasks who just quietly makes +10k? drop in the comments - curious who fits your style 👇 markets.xyz/mobile-app/u/s…

@sopersone 😅😅😅

quants before vs after AI platforms for building, backtesting, and automating trading strategies

@helicerat0x legendary story bro really inspiring

@ventry089 60+ failures before one worked, then sold a book before writing a word the audience he built along the way bought both

$500K a month. one person. zero employees. he launched 70 startups and found a framework that works every time Pieter Levels. nomadlist, remoteok, photoai - all one person. sold his book for $30 before writing a single word everyone tries to copy his framework. most fail. here's what actually works his book says "solve your own problems." sounds smart. but he launched 60+ failed startups before one worked. that's 6 years of hitting walls the shortcut: don't invent. copy what's already making money and make it 5% better go to indie hackers product page. go to product hunt best of year. find what's already printing. copy the model. add one improvement. launch one guy used this exact framework. 1 hour a day. 3 weeks. $15,000 in the first months on autopilot the same tech stack pieter uses - next.js, tailwind, shadcn, stripe - is free as an open source starter kit: github.com/nextjs/saas-st… → auth, payments, database, dashboard - all out of the box. fork it, adapt it, deploy it the real lesson from pieter isn't in the book. he wasn't building 70 startups. he was building a personal brand. every launch was noise. every failure was content. the audience he built buys anything from him now stop inventing. start copying. the first $100 matters more than the first idea

@Kaffchad think there's info about him online or on youtube he really is a very interesting character

@ventry089 Intriguing framework, would love to learn more about Pieter Levels' approach.