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RetroChainer

@RetroChainer • 3,576 subscribers

Prediction markets | Content creator | Researcher All in @Polymarket

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> most use Claude Code like autocomplete > they don't know repos exist > 100 of the best. all links. > skills. agents. memory. MCP. > Mac Mini. Claude Code. one month. > install just 5-10 of these > already ahead of 95% of users > paying for the same Claude as you

> most use Claude Code like autocomplete > they don't know repos exist > 100 of the best. all links. > skills. agents. memory. MCP. > Mac Mini. Claude Code. one month. > install just 5-10 of these > already ahead of 95% of users > paying for the same Claude as you

404,283 Aufrufe

> he turned himself into Tom Holland's Spider-Man > and it reads as real because of one prompt line 1. higgsfield → create image (nano banana pro) 2. upload your normal photo 3. the prompt does the work: > "ultra-realistic, no smoothing, no CGI look" > "looks like real behind-the-scenes footage" 4. that image → kling motion control 5. your video left, the face right → generate 6. the character copies your every move > everyone chases the model > the realism lives in the prompt

> he turned himself into Tom Holland's Spider-Man > and it reads as real because of one prompt line 1. higgsfield → create image (nano banana pro) 2. upload your normal photo 3. the prompt does the work: > "ultra-realistic, no smoothing, no CGI look" > "looks like real behind-the-scenes footage" 4. that image → kling motion control 5. your video left, the face right → generate 6. the character copies your every move > everyone chases the model > the realism lives in the prompt

39,620 Aufrufe

I stopped reading the news 4 months ago. instead I pointed a NASA satellite at 6 countries and gave Claude the coordinates the bot sees what no journalist can: > thermal anomalies from space. every 6 hours > military aircraft in real time > earthquakes and explosions > VIX, gold, crypto fear & greed here's what the bot found blind on 270 days of NASA data: October 7. Gaza baseline: 6 fires per day. bot saw 69. 11.1x anomaly. hours before most people understood the scale August 3. Kursk. zero fires for weeks. suddenly 21. 94 megawatts. bot caught it 4 DAYS before the offensive officially started Syria. November 16 first signal. Assad fell December 8. 3 weeks of lead time $500 starting bankroll. 16 trades. 11 wins. 5 losses $500 turned into $7,778 the losses: bot kept buying Kursk after the anomaly became the new normal. fixed it with a filter: if baseline itself tripled in the last 7 days. skip the signal 10 data sources. $0/mo. 15 minutes to set up the news tells you what happened. the coordinates tell you what's about to

I stopped reading the news 4 months ago. instead I pointed a NASA satellite at 6 countries and gave Claude the coordinates the bot sees what no journalist can: > thermal anomalies from space. every 6 hours > military aircraft in real time > earthquakes and explosions > VIX, gold, crypto fear & greed here's what the bot found blind on 270 days of NASA data: October 7. Gaza baseline: 6 fires per day. bot saw 69. 11.1x anomaly. hours before most people understood the scale August 3. Kursk. zero fires for weeks. suddenly 21. 94 megawatts. bot caught it 4 DAYS before the offensive officially started Syria. November 16 first signal. Assad fell December 8. 3 weeks of lead time $500 starting bankroll. 16 trades. 11 wins. 5 losses $500 turned into $7,778 the losses: bot kept buying Kursk after the anomaly became the new normal. fixed it with a filter: if baseline itself tripled in the last 7 days. skip the signal 10 data sources. $0/mo. 15 minutes to set up the news tells you what happened. the coordinates tell you what's about to

43,037 Aufrufe

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> "I'm not real here's how to make me in 10 min" 1. pinterest → search "girl selfie", save one 2. nano banana pro → swap the face 3. drop the image into kling 2.6 4. three nodes: image, text, video gen 5. photo → image node, prompt → text node 6. connect, pick kling 2.6, set duration 7. hit generate. done > 2 prompts. that's the whole pipeline now

> "I'm not real here's how to make me in 10 min" 1. pinterest → search "girl selfie", save one 2. nano banana pro → swap the face 3. drop the image into kling 2.6 4. three nodes: image, text, video gen 5. photo → image node, prompt → text node 6. connect, pick kling 2.6, set duration 7. hit generate. done > 2 prompts. that's the whole pipeline now

41,646 Aufrufe • vor 7 Tagen

> the pipeline behind "AI dancing girl" accounts: 1. find a viral tiktok dance, download it 2. screenshot frame 1 → chatgpt writes the prompt 3. generate your model from it (freepik) 4. wavespeed → kling 2.6 motion control 5. add image + dance video → run 6. your model does the viral dance 7. post 2x/day → traffic → fanvue > the tech is real > the "$7,500 a day" is bait for the paid group > they're not selling the model. they're selling the funnel

> the pipeline behind "AI dancing girl" accounts: 1. find a viral tiktok dance, download it 2. screenshot frame 1 → chatgpt writes the prompt 3. generate your model from it (freepik) 4. wavespeed → kling 2.6 motion control 5. add image + dance video → run 6. your model does the viral dance 7. post 2x/day → traffic → fanvue > the tech is real > the "$7,500 a day" is bait for the paid group > they're not selling the model. they're selling the funnel

29,864 Aufrufe • vor 5 Tagen

> "this AI model made me $500 in an hour" > filmed in a Corvette > notifications held up as "proof" > here's what the clip actually is: > the screenshot proves nothing > notifications are free to fake > "I have no course" → "ask me in the comments" that's the funnel > the comment is the product > the car isn't from AI girlfriends. it's the set > the model being monetized is you

> "this AI model made me $500 in an hour" > filmed in a Corvette > notifications held up as "proof" > here's what the clip actually is: > the screenshot proves nothing > notifications are free to fake > "I have no course" → "ask me in the comments" that's the funnel > the comment is the product > the car isn't from AI girlfriends. it's the set > the model being monetized is you

14,922 Aufrufe • vor 3 Tagen

I told Claude to predict the next BTC candle using Kronos. didn't touch anything. +$4,200 overnight. Kronos isn't another LLM wrapper. it's a GPT-style model trained on 12 billion candles from 45 exchanges. Binance, NYSE, NASDAQ, LSE. it reads OHLC the way GPT reads English. > words = candle patterns > sentences = OHLC sequences > the corpus = every trade ever printed > the edge is simple: P(next | history) = softmax(W · h_t) same math GPT uses to predict the next word, except the "word" is the next candle. no twitter sentiment. no blog scraping. no hallucinated confidence. just statistics over 12B real price moves. I plugged Kronos into a 5-min BTC Polymarket bot. input: last 50 candles output: probability next candle closes up trades only when |p_model - p_market| > 0.04 72 hours: $300 → $4,500 ChatGPT looks at a chart and pattern-matches against an article it read. Kronos looks at the chart and remembers 12 billion of them. 87% of Polymarket is exit liquidity. one of these models is actually trading the market. 21.8k stars, free, MIT license. Tsinghua University release.

I told Claude to predict the next BTC candle using Kronos. didn't touch anything. +$4,200 overnight. Kronos isn't another LLM wrapper. it's a GPT-style model trained on 12 billion candles from 45 exchanges. Binance, NYSE, NASDAQ, LSE. it reads OHLC the way GPT reads English. > words = candle patterns > sentences = OHLC sequences > the corpus = every trade ever printed > the edge is simple: P(next | history) = softmax(W · h_t) same math GPT uses to predict the next word, except the "word" is the next candle. no twitter sentiment. no blog scraping. no hallucinated confidence. just statistics over 12B real price moves. I plugged Kronos into a 5-min BTC Polymarket bot. input: last 50 candles output: probability next candle closes up trades only when |p_model - p_market| > 0.04 72 hours: $300 → $4,500 ChatGPT looks at a chart and pattern-matches against an article it read. Kronos looks at the chart and remembers 12 billion of them. 87% of Polymarket is exit liquidity. one of these models is actually trading the market. 21.8k stars, free, MIT license. Tsinghua University release.

93,305 Aufrufe • vor 1 Monat

> 80% of Polymarket users lose > it's not a casino. it's a market. > 1. don't predict. find where price is wrong. > 2. kill the oversize. 5% max. quarter Kelly. > 3. fade news reaction 2 hours in > 4. scale out. don't hero-hold to resolution. > 5. 2-3 categories where you actually know the domain > 6. check book depth before sizing > 7. copy wallets only after 6 months of watching > 8. skip markets with "at the discretion of" resolution

> 80% of Polymarket users lose > it's not a casino. it's a market. > 1. don't predict. find where price is wrong. > 2. kill the oversize. 5% max. quarter Kelly. > 3. fade news reaction 2 hours in > 4. scale out. don't hero-hold to resolution. > 5. 2-3 categories where you actually know the domain > 6. check book depth before sizing > 7. copy wallets only after 6 months of watching > 8. skip markets with "at the discretion of" resolution

13,923 Aufrufe • vor 15 Tagen

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