hardworker • make & save money with AI • truth about AI, finance & software engineering 💎 DMs open📥

Florida, USA
Joined April 2022
I made GROK BOT my finance assistant. your bank shows you where the money went. It never tells you where you're losing it €19.99 subscription. €37 bad FX route. €23 in fees you never saw now imagine an AI whose job is to find those every single day
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I GAVE MY GROK BOT $500 AND ONE FORMULA FROM SECOND-YEAR PROBABILITY: THE KELLY CRITERION. 20 HOURS LATER: $2,325 4.6x and the formula decided every position size. most people size trades by feel. same amount every time, or more after a win, or double after a loss to "get it back". that's how small accounts die. Kelly is one line: f* = p − (1 − p) / b p = the chance the trade wins. b = how big the win is next to the loss. f* = how much of the balance to put in. so before every entry, Grok estimates p and b, and the formula picks the size: - strong setup: p = 0.55, b = 3 → 0.55 − 0.45 / 3 = 40% of the balance - weak setup: p = 0.38, b = 2 → 0.38 − 0.62 / 2 = 7% - f* at zero or below → no trade. that happened 61 times. it traded SOL, AVAX, SUI, ADA and LINK, both ways, with 8x to 25x leverage set by how far away the stop sits. the five big closes: - 02:14, SOL short at 20x, 184.20 → 175.10, 97% on margin, Kelly 30% - 05:40, AVAX short at 18x, 21.84 → 20.62, 99%, Kelly 36% - 09:05, SUI long at 16x, 3.412 → 3.641, 106%, Kelly 40% - 12:48, ADA short at 22x, 0.6815 → 0.6512, 96%, Kelly 31% - 17:30, LINK short at 19x, 15.36 → 14.48, 107%, Kelly 40% take LINK. 15.36 to 14.48 is a 5.7% drop. at 19x that's 109% gross, 107% after fees. Kelly put 40% of the $1,607 balance in, so it paid $689. 37 losing trades over the session. Kelly sized them at 5–10%, so none of them hurt. the honest part: the five big closes made $1,804 of the $1,825 profit. the other 52 trades together netted +$20. and Kelly is only as good as Grok's guess of p. overestimate it and the formula oversizes, which is why most pros run half-Kelly. 40% of the balance on one trade at 19x is what this paper desk runs, not a plan for anyone else's account. hour 20. $2,325 on the balance, and the next trade gets exactly the size the formula allows.
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THIS IS HECKING FREE GOLDMINE for anyone who wants to become AI engineer and earn $5,000+/month 20 open-source tools to go from idea → AI app → paying users with Opus 5.5 build. intelligence. ship. earn 01 Next.js → app framework github.com/vercel/next.js 02 shadcn/ui → interface kit github.com/shadcn-ui/ui 03 Supabase → backend in a box github.com/supabase/supabase 04 Better Auth → login system github.com/better-auth/bette… 05 Drizzle → database layer github.com/drizzle-team/driz… 06 AI SDK → model layer github.com/vercel/ai 07 LangGraph → agent brain github.com/langchain-ai/lang… 08 FastMCP → tool builder github.com/PrefectHQ/fastmcp 09 LlamaIndex → RAG engine github.com/run-llama/llama_i… 10 Langfuse → AI observability github.com/langfuse/langfuse 11 Trigger.dev → background jobs github.com/triggerdotdev/tri… 12 Playwright → test runner github.com/microsoft/playwri… 13 Sentry → error tracking github.com/getsentry/sentry 14 Coolify → deploy platform github.com/coollabsio/coolif… 15 PostHog → product analytics github.com/PostHog/posthog 16 Polar → payments + subscriptions github.com/polarsource/polar 17 Lago → usage billing github.com/getlago/lago 18 React Email → email funnel github.com/resend/react-emai… 19 Postiz → launch engine github.com/gitroomhq/postiz-… 20 Dub → affiliate links github.com/dubinc/dub Opus writes the code. these tools turn it into a product people pay for. the loop: find the pain → build the app → add the AI → ship → charge → grow keep this. the gap between "I can code with AI" and "I make money with AI" is this list
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deezzex retweeted
GROK BOT + OPUS 5.5 CAN BE YOUR FULL-TIME ANALYST FOR UNDER $1 A TASK. NO SALARY. NO SICK DAYS. IT CHECKS ITS OWN WORK. the difference between AI that guesses and AI you can trust with real work: bad: One prompt, one answer, hope good: Plan, act, check, fix, repeat give it 12 checks for what "correct" means. It loops until all 12 pass, then stops on its own. 3 rules: 1. A clear checklist 2. Permission to fix its own mistakes 3. A stop rule: all pass, a lap limit or a budget I break down one AI system like this every week. stay tuned and pass it on to a business owner who needs it. would you trust an AI analyst with your numbers?
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THIS IS HECKING FREE GOLDMINE for anyone who wants to become AI engineer and earn $5,000+/month 20 open-source tools to go from idea → AI app → paying users with Opus 5.5 build. intelligence. ship. earn 01 Next.js → app framework github.com/vercel/next.js 02 shadcn/ui → interface kit github.com/shadcn-ui/ui 03 Supabase → backend in a box github.com/supabase/supabase 04 Better Auth → login system github.com/better-auth/bette… 05 Drizzle → database layer github.com/drizzle-team/driz… 06 AI SDK → model layer github.com/vercel/ai 07 LangGraph → agent brain github.com/langchain-ai/lang… 08 FastMCP → tool builder github.com/PrefectHQ/fastmcp 09 LlamaIndex → RAG engine github.com/run-llama/llama_i… 10 Langfuse → AI observability github.com/langfuse/langfuse 11 Trigger.dev → background jobs github.com/triggerdotdev/tri… 12 Playwright → test runner github.com/microsoft/playwri… 13 Sentry → error tracking github.com/getsentry/sentry 14 Coolify → deploy platform github.com/coollabsio/coolif… 15 PostHog → product analytics github.com/PostHog/posthog 16 Polar → payments + subscriptions github.com/polarsource/polar 17 Lago → usage billing github.com/getlago/lago 18 React Email → email funnel github.com/resend/react-emai… 19 Postiz → launch engine github.com/gitroomhq/postiz-… 20 Dub → affiliate links github.com/dubinc/dub Opus writes the code. these tools turn it into a product people pay for. the loop: find the pain → build the app → add the AI → ship → charge → grow keep this. the gap between "I can code with AI" and "I make money with AI" is this list
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deezzex retweeted
f*cking free gold… this is the OPUS 5.5 stack nobody talks about 20 self-hosted build stacks for Opus 5.5, each built around a real deliverable models. chat. automation. backend. files. ops 01 Ollama → model runner github.com/ollama/ollama 02 llama.cpp → inference engine github.com/ggml-org/llama.cp… 03 Open WebUI → private chat github.com/open-webui/open-w… 04 AnythingLLM → doc assistant github.com/Mintplex-Labs/any… 05 whisper.cpp → transcription desk github.com/ggml-org/whisper.… 06 ComfyUI → image studio github.com/comfyanonymous/Co… 07 SearXNG → private search github.com/searxng/searxng 08 n8n → automation hub github.com/n8n-io/n8n 09 Supabase → backend in a box github.com/supabase/supabase 10 Coolify → deploy platform github.com/coollabsio/coolif… 11 Gitea → code host github.com/go-gitea/gitea 12 Paperless-ngx → document vault github.com/paperless-ngx/pap… 13 Immich → photo library github.com/immich-app/immich 14 Nextcloud → file cloud github.com/nextcloud/server 15 Excalidraw → whiteboard github.com/excalidraw/excali… 16 Typst → document engine github.com/typst/typst 17 Listmonk → newsletter studio github.com/knadh/listmonk 18 Plausible → analytics github.com/plausible/analyti… 19 Uptime Kuma → status monitor github.com/louislam/uptime-k… 20 Vaultwarden → password vault github.com/dani-garcia/vault… Opus writes the configs, the glue code and the deploy scripts. these tools run on your own box, with your data, on your terms. the loop: pick the job → pick the box → wire the tools → build → verify → own it keep this. your future self with no SaaS bills will thank you
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deezzex retweeted
GROK + OPUS 5.5 = 18,000 PARTICLES SHOWING WHY YOUR AI BILL IS 87% TOO HIGH whether you run grok, opus 5.5 or any other big model, you're probably paying full price for the same prompt again and again. this board shows where the money goes: fire = tokens the model reads fresh, at full price ice = tokens reused from cache, at about 10% of the price gold = what you keep same 18,600-token request, example pricing: → no cache: $0.0558 → cached: $0.0072 three rules decide which side you're on: 1. same stuff first: instructions, tools and docs at the top 2. new stuff last: only the new message at the bottom 3. don't edit the start: one changed line at the top makes everything after it full price again and caches go cold. leave one idle for a few minutes and you pay to write it again. i break down AI cost tricks like this in plain english. if someone on your team pays the API bill, show them this. did you know your AI could reuse most of your prompt for a tenth of the price?
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MY GROK BOT DID NOTHING FOR 4 DAYS. THEN IT TURNED $500 INTO $2,750 day 1: no trade. day 2: no trade. day 3: no trade. day 4: no trade. day 5: started making money $ I almost opened the config and loosened the rules. I didn't. 15 setups proposed. 11 vetoed by the risk agent. 4 taken. free open-source repo, HyperGrok: one Grok brain, 7 agents, Hyperliquid perps. setup, 12 minutes: 1. Clone the repo 2. Add your Grok API key 3. Max leverage 20x, max risk per trade 10% 4. Stops before entry 5. Walk away the 4 it said yes to: BTC long: +$380 ETH long: −$120 HYPE long: +$590 DOGE long: +$1,400 $500 → $2,750. the honest part: DOGE made 62% of the profit. Without it, I'm at $1,350. 2.7x, not 5.5x. most bots die from overtrading. this one made money by not trading. show this to the friend who can't sit on their hands for 4 minutes, let alone 4 days. day 3, still no trades: would you have loosened the rules?
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f*cking free gold… this is the OPUS 5.5 stack nobody talks about 20 self-hosted build stacks for Opus 5.5, each built around a real deliverable models. chat. automation. backend. files. ops 01 Ollama → model runner github.com/ollama/ollama 02 llama.cpp → inference engine github.com/ggml-org/llama.cp… 03 Open WebUI → private chat github.com/open-webui/open-w… 04 AnythingLLM → doc assistant github.com/Mintplex-Labs/any… 05 whisper.cpp → transcription desk github.com/ggml-org/whisper.… 06 ComfyUI → image studio github.com/comfyanonymous/Co… 07 SearXNG → private search github.com/searxng/searxng 08 n8n → automation hub github.com/n8n-io/n8n 09 Supabase → backend in a box github.com/supabase/supabase 10 Coolify → deploy platform github.com/coollabsio/coolif… 11 Gitea → code host github.com/go-gitea/gitea 12 Paperless-ngx → document vault github.com/paperless-ngx/pap… 13 Immich → photo library github.com/immich-app/immich 14 Nextcloud → file cloud github.com/nextcloud/server 15 Excalidraw → whiteboard github.com/excalidraw/excali… 16 Typst → document engine github.com/typst/typst 17 Listmonk → newsletter studio github.com/knadh/listmonk 18 Plausible → analytics github.com/plausible/analyti… 19 Uptime Kuma → status monitor github.com/louislam/uptime-k… 20 Vaultwarden → password vault github.com/dani-garcia/vault… Opus writes the configs, the glue code and the deploy scripts. these tools run on your own box, with your data, on your terms. the loop: pick the job → pick the box → wire the tools → build → verify → own it keep this. your future self with no SaaS bills will thank you
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deezzex retweeted
Claude Code transcribed 731 recordings of my voice that Google kept. 612 of them I never said "Hey Google"… downloaded everything Google has on me and asked Claude Code one question: what did my phone hear that I didn't mean it to it found 731 audio files going back to 2017. Transcribed every single one, right on my laptop most were what you'd expect. Timers, weather, "play music" then it flagged the ones with no wake word at all: → [a conversation in the kitchen] → [part of a phone call] → [the TV] → [someone saying my address] Google heard something that sounded like "Hey Google" and saved what came next and it's not just me. In 2019 a Belgian news outlet got hold of 1,000+ Google Assistant recordings. 153 of them should never have been recorded deleted all of it and turned off audio saving. Took 3 minutes the full step-by-step is below. keep it so you don't lose it, and show it to anyone with an Android or a Google speaker at home
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Claude Code transcribed 731 recordings of my voice that Google kept. 612 of them I never said "Hey Google"… downloaded everything Google has on me and asked Claude Code one question: what did my phone hear that I didn't mean it to it found 731 audio files going back to 2017. Transcribed every single one, right on my laptop most were what you'd expect. Timers, weather, "play music" then it flagged the ones with no wake word at all: → [a conversation in the kitchen] → [part of a phone call] → [the TV] → [someone saying my address] Google heard something that sounded like "Hey Google" and saved what came next and it's not just me. In 2019 a Belgian news outlet got hold of 1,000+ Google Assistant recordings. 153 of them should never have been recorded deleted all of it and turned off audio saving. Took 3 minutes the full step-by-step is below. keep it so you don't lose it, and show it to anyone with an Android or a Google speaker at home
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Step 5: delete and turn it off myactivity.google.com → Delete → All time Then: Web & App Activity → uncheck "Include voice and audio activity" And set auto-delete to 3 months for everything else
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Rather run it all at once? Paste this into Claude Code inside your unzipped Google Takeout: ROLE: You are a privacy analyst. SCOPE: This is my own Google data export. Read-only. Process everything locally. Never upload audio or transcripts anywhere. TASK: 1. Find every voice/audio recording in this export. 2. Install a local speech-to-text model (e.g. Whisper) and transcribe each file. 3. Build a table: date, time, duration, transcript. 4. Flag recordings with no wake word or clear command, and anything mentioning names, addresses, money, health, or private conversations. 5. Give me the 10 most surprising findings in plain words, then step-by-step instructions to delete all recordings and turn off audio saving.
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deezzex retweeted
OPUS 5.5 + GROK BOT = 48,000 S&P 500 HEADLINES CHECKED. 6,688 WERE FAKE NONE GOT THROUGH. how the swarm works: → 300 agents take in every market headline: wire stories, posts, screenshots, forum rumours. → opus 5.5 reads each one and pulls out the claim: which company, what happened, what number. → the Grok bot checks that claim against the company's own sources, like the press release, exchange notice or earnings call. Each check takes about 100 ms. → if nothing official backs it up, it's flagged as fake, with the reason: no source, company denies, wrong number, old story or parody account. → real news is sorted into the 11 S&P 500 sectors: tech, banks, health, energy and the rest. when a rumour storm hit, fakes jumped 3×, and every headline was still checked before it counted. a fake "CEO steps down" post can move a stock in minutes. Here it doesn't get the chance. if you know someone who trades on headlines, send this their way. have you ever traded on a headline that turned out to be fake?
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I GAVE GROK BOT $200 AND BANNED EVERY COIN EXCEPT BITCOIN. IT TURNED IT INTO $1,400 IN 7 DAYS everyone said my last runs were just DOGE luck. So I took DOGE away. no memecoins. No lottery trade. No "one lucky pump." One coin. The most watched chart on earth. The one everyone says is too efficient to beat. 6 trades. Longs and shorts. Same coin every time. I test AI trading repos and I post the parts that make them look bad. This week I tried to take away their best excuse. the repo: HyperGrok. One Grok brain, 7 agents, Hyperliquid perps. Free and open source. setup, 10 minutes: 1 Clone the repo 2 Add your Grok API key 3 Wallet: $200 4 Allowed coins: BTC. That's it. 5 Paper mode on the week, all BTC: Long +$90 Short +$160 Long −$40 Short +$230 Long +$310 Long +$450 $200 → $1,400. Zero DOGE. the honest part: the last long made 38% of it. Without that one, the wallet ends at $950. Smaller than the DOGE weeks, but no single trade carried it. if you've got a friend who still says "it was just luck," send them this one. what should I ban next?
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Claude Code found 340 apps and websites secretly sending my data to Meta. Including my bank… I downloaded everything Meta has on me and asked Claude Code one question: who told Facebook about my life when I wasn't on Facebook It went through 15,000 files and found 340 companies reporting what I do on their sites and apps. Not likes. Actual events with timestamps: [my bank] → app opened, 212 times [pharmacy] → viewed product, added to cart [dating app] → logged in, 3am [airline] → searched flights, purchased Then it found a second list. 41 companies uploaded my phone number or email to Meta so they could show me ads. I've never heard of half of them I turned it all off and cleared the history. Took 4 minutes Meta never deletes what was already sent. But you can see it, and you can stop it The full step-by-step is below. Save it so you don't lose it, and send it to anyone who uses Instagram
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Step 5: turn it off Accounts Center → Your information and permissions → Your activity off Meta technologies → Clear previous activity → Manage future activity → Disconnect future activity Then in Ad preferences, remove the advertisers you don't recognize
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Rather run it all at once? Paste this into Claude Code inside your unzipped Meta export: ROLE: You are a privacy analyst. SCOPE: This is my own Meta data export. Read-only. Don't upload or send any of it anywhere. TASK: 1. Find all files about activity off Meta technologies and advertisers using my information. 2. List every company that sent my data to Meta: number of events, event types, first and last date. 3. List every advertiser that uploaded my contact info, and mark ones I likely never used. 4. Group everything by category and flag health, finance, dating and location data. 5. Give me the top 10 most surprising findings in plain words, then step-by-step instructions to clear and disconnect this activity.
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