Ventry
@ventry089 • 3,686 subscribers
AI money flows - tracked in public, receipts attached
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25% of IBM - gone in one day. worst drop since 1910. then Alex Karp, who sells AI for a living, went on CNBC and read his own customers' anger out loud: paying for tokens that create nothing, while the model quietly walks off with their data and their edge. that's not a skeptic talking. that's the buyer. i wrote why AI doesn't make the money - it moves it.
Ventry525,622 просмотров • 2 месяцев назад
I made 4 bots kill each other for my money gave each $500 and said "in a week one survives" bot 1- copies whales. just mirrors top-5 wallets bot 2 - contrarian. waits for crowd to be 80%+ confident and bets against bot 3 - scalper. catches delay between binance and prediction markets bot 4 - weather guy. trades only temperature. three meteo models, enters when all three agree stats for 7 days: day 1: scalper ahead. +$180 others around zero day 2: nothing interesting day 3: contrarian caught skew on sports market. +$740 on one trade. took the lead day 4: scalper started dumping. delay shrank, edge gone. $500 → $310 day 5: weather guy silent for 4 days. then made TWO trades. both profit. +$420 day 6: whale copier steady in the middle. no fails, no highs. boring but alive day 7: scalper dead. $82 left results: contrarian - $1,740. one explosion decided everything weather guy - $1,120. two trades in a week copier - $780. survived but unimpressive scalper - $82. corpse the dumbest bot won. it just waited for everyone to err and entered once and the smartest died first cuz its edge was temporary
Ventry1,450,324 просмотров • 7 месяцев назад
this kid is 18. his app makes $1.4 million a month one function: take a photo of your food - get the calories the entire product is one API call. photo goes in, JSON with calories comes out. frontend shows the number Cal AI. 15 million downloads. MyFitnessPal acquired them marketing: tiktok. influencers film themselves photographing their food. viral by default - everyone eats every day. CAC close to zero one vision API request: $0.01-0.03. user subscription: $5.99/month. margin 80%+ someone already built an open-source version of the same thing: -> photo and text analysis, meal history, weight tracking, model selection, PWA, works offline a $1.4M/month app is one vision API call and the right distribution. the code is open. distribution is your problem
Ventry421,363 просмотров • 4 месяцев назад
F**KING INSANE, GROK BOT IS TRYING TO SAVE A LANGUAGE THAT DIES WHEN ONE 86-YEAR-OLD MAN DOES there is one speaker left. 212 hours of him on tape and nobody alive who can read it i gave six agents the tapes and one instruction: get the grammar out before he goes day 1, four hours in: → SCOUT cut 212 hours into 41,900 utterances, every one timestamped → PHON rebuilt the sound inventory from scratch. six vowels nobody wrote down → GRAM found 37 rules. twelve of them contradict each other → LEX has 4,102 words. 900 appear exactly once, so they could mean anything → SCRIBE logs every guess with the tape position it came from → CHIEF signs nothing without the audio attached they are not translating. they are reconstructing a whole system from a man talking about fishing WORDS SAVED 4,102 · SPEAKERS LEFT 1 · TRANSCRIBED 41 / 212 HOURS the twelve contradictions are what keep me up. either he is misremembering his own language, or we are DAY 1
Ventry73,615 просмотров • 23 дней назад
F**KING INSANE, GROK BOT SPOKE A DYING LANGUAGE BACK TO THE LAST MAN WHO SPEAKS IT, AND HE DID NOT RECOGNISE 41 OF HIS OWN WORDS after day 3 we had 11 grammar rules left and no way to test them. elias is the only judge alive. somebody in the replies said it after day 1: you do not need more tape, you need the same sentence twice. so we built one and played it to him out loud day 4, what the crew found: → GRAM assembled nine words that use all 11 rules. that sentence exists on none of the 212 hours → VOICE said it out loud in his own voice, built out of 45 hours of him → he went still for eleven seconds. then he answered it. in the language → he corrected one ending. rule 7 was wrong. three seconds, and he could not say how he knew → he asked to hear it again. then he talked to it for twenty minutes → CHIEF ran a control while he talked: 200 words pulled off his own tapes, read back to him → 41 he did not recognise. said those are not words. twelve of them he said himself, on tape, six days ago WORDS SAVED 5,340 · RULES LEFT 11 · CORRECTED BY HIM 1 · HIS OWN WORDS HE NO LONGER KNOWS 41 · SPEAKERS LEFT 1 we thought we were racing to record a language before its last speaker dies. we are not racing him. we passed him. the archive holds 41 words he lost this year somebody asked under day 1 why we do not just talk to him. tonight something did. for twenty minutes elias had someone answering him in his own language for the first time since 1994, and it was software that learned it from him last week DAY 4
Ventry45,463 просмотров • 20 дней назад
youtube is paying $50,000 a month to channels running motion graphics. no face. no voice. just graphics and numbers the niche is ranking videos. countries by GDP, population, area. WorldData_3D - 700K subscribers. Global Data - 660K subs. one video at 5 million views = $15,000 from ads alone this used to be rendered by a 3D artist in Unity and Blender. weeks of work per video now it's one prompt - finished animation in seconds. you describe, AI generates, you tweak the colors via chat, export mp4 the trick isn't the tooling. it's the format ranking works because the brain has a built-in curiosity timer. who's next? who's first? - people watch to the end. youtube sees retention, pushes harder if you want it self-hosted --> open source motion graphics in React. 70+ effects. prompt claude code, get a finished video 5 channels in parallel = $150-$350K a month from one pipeline youtube doesn't check who rendered the video. it checks retention. the barrier used to be the artist. now the barrier is who hits publish first
Ventry237,075 просмотров • 4 месяцев назад
A former quantum from Jump Trading sent me the source code of the bot he said they fired him for running it from the work server when i opened the code i didn’t sleep til 4 am gist of the code: bot holds two websocket connections simultaneously direct feed from Binance spot orderbook and Polymarket CLOB API BTC price on Binance updates ~200ms polymarket recalculates contracts with 3-7s lag in this window bot calculates implied probability compares spot divergence with contract price over 8% - enters btc does +0.4% on spot up contract at 53¢ model probability - 87% bot buys in 5 mins contract resolves at $1 20-50% per trade 100+ times a day $284,719 per month off $1,300 bankroll this isn’t prediction it’s latency arb between CEX and prediction market no need for $50k colocation $20 vps and clean code suffices
Ventry404,206 просмотров • 7 месяцев назад
this video explained to me why my cs2 skin arbitrage bot actually works guy shows a working method - csfloat → skinport through his own google sheets calculator logic is right, formulas are correct only thing - while you're calculating one skin in excel, skinport refreshes another 200 listings $7.82 billion market 12 spreads appear every 4 seconds ak-47 redline currently gives +17% roi awp dragon lore +$250 net the window stays open exactly until someone runs an automated parser on these same routes i already did same math he has in google sheets just async across 5 marketplaces in parallel full skinport catalog (47,823 items) scanned in one request like + bookmark - you'll need this when you build your first arbitrage bot through claude
Ventry117,515 просмотров • 5 месяцев назад
my grok agents made $3,694 in 30 days. i published every trade they made. it started with $63 - everything left after i finished losing the rest. i gave the desk one instruction: pay your own $200 subscription or die. it paid the rent on day 6. the line is in the sheet, $200 leaving, sitting between two losing trades. 279 positions closed. 143 of them lost money. that is 51%, and almost every loser sits at exactly -25%, because that is where the stop is and the stop does not negotiate. the month was carried by four trades. +216%, +380%, +540%, and one that ran while i was asleep. first entries are 0.005 SOL. the last ones are 0.5. the size grew because the bank grew, and you can watch it happen line by line. then i split the money by agent. MIDWIFE found 92 entries, made $1,517 GRAVEYARD found 98, made $1,305 LADDER found 34, made $556 COLLECTOR found 55, made $516 UNDERTAKER closed 108 positions and earned nothing CLOCK closed 83 and earned nothing WARDEN never touched a single trade WARDEN watches me, not the market. it blocked 33 of my orders. CLOCK blocked 25 more for trying to sell inside the five minute window. LADDER killed 15 attempts to average down. those 83 blocked orders were worth $2,195. more than half of what the desk holds was never earned. it was refused. the best agent on my desk has never made a trade in its life.
Ventry10,747 просмотров • 1 месяц назад
$5,280 a year on AI subscriptions. Claude Max, ChatGPT Pro, Gemini, Cursor. $440 every month going to the cloud. a mini PC for $1,700 does the same thing on your desk. GMKtec EVO-X2 - a box the size of a hardcover book. inside it the chip that Lisa Su personally brought on stage at CES and signed with her name. 128GB of memory in one pool. runs models that cloud subscriptions behind $200 paywalls throttle during peak hours. here there are no limits - your hardware, your rules. NVIDIA's RTX 5080 at $1,000+ lost to this box by 3x on a real AI workload. a discrete GPU beaten by a mini PC the size of a lunchbox. electricity - $9 a month. pays for itself in 10 months. after that $440 every month stays in your pocket. the cloud made sense when nothing on a desk could compete. now it can.
Ventry27,360 просмотров • 3 месяцев назад
Former bookmaker leaked his approach to polymarket profit under $2m. without a single bot he got fired when the company closed he transferred everything he knew to prediction markets his method: he opens a sports market where one outcome costs above 75¢ then goes to pinnacle and bet365 compares bookmakers odds with the contract price on polymarket if bookmakers give the underdog 30-35% and Polymarket values it at 15-20% he enters on the underdog side the difference between the bookmaker line and the contract price bookmakers spend millions on analytics polymarket - crowd betting on emotions he just buys the difference between professional valuation and amateur
ventry46,401 просмотров • 7 месяцев назад
8 open source repos to take 8% off the $8 billion CS2 skin market. -> async scanner across 5 marketplaces in parallel. skinport, csfloat, dmarket, buff163, steam. one full scan in 4 seconds. 12 spreads, $695 potential profit per scan -> async wrapper for skinport API via aiohttp. all endpoints. rate limiting out of the box -> steam trading library. market price history since july 2014, sell/buy orders, inventory management -> simple wrapper for steam market. get_lowest_price + get_volume in two lines. no auth required -> CSFloat arbitrage in python with Flask dashboard. multi-strategy analysis, undervalued items detection ->golang alternative. dmarket + skinport -> buff163. requires 2captcha and discord webhook -> curated list of 50+ repos. CSFloat helpers, buff2steam, SteamDT. start research here -> auto-buy bot for steam market. monitors specific skins and buys when price drops below target before: team on VPS + paid APIs for $50K/year now: git clone, pip install, python like + bookmark - you'll need this when you build your first arbitrage bot through claude
Ventry23,870 просмотров • 5 месяцев назад
built a weather bot. it finds the right signals. i taught it to throw them away 24 hours in paper mode 37 trades. 22% win rate. +$20.65 PnL looks like nothing. until you open the counter-factual block if the bot didn't close on stops and trailing - PnL would be +$1,761.77 money left on table: +$1,866.21 Ankara: actual +$27. if held to resolve - +$1,156 Buenos Aires: actual +$20. if held - +$520 Tokyo: actual +$12. if held - +$51 the strategy works. signals are valid. the bot catches real mispricings my risk management chokes them first iteration. trailing stop too aggressive. take-profit triggers before the market has time to reprice pipeline is alive. rewriting exits this week the best thing that can happen to a new bot is to find a concrete break you can see in the data
Ventry10,924 просмотров • 4 месяцев назад
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