Mojunel.eth

6 Grok bots doing the job of a full social media department. one hunts trending topics. one writes the posts. one builds the visuals. one runs publishing. one reads the analytics. and one keeps all five in sync. i found 12 GitHub repos that wire the whole system together: 01 / Crewm8 Social Media Skill Graph → Dedicated skills for handling social media across multiple platforms. github.com/gokulsvision/Crew… 02 / Social Media Skills → 100+ skills covering content strategy, copywriting, design and analytics. github.com/pavelhov/social-m… 03 / Last 30 Days Skill → Surfaces trending conversations on Reddit, X, YouTube and the open web. github.com/mvanhorn/last30da… 04 / OpenMagpie → Watches social chatter across several platforms at once. github.com/obris-dev/openmag… 05 / Trend Opportunity Radar → Spots emerging trends and content gaps early. github.com/datou202307-desig… 06 / 37studio → AI-driven content production for social feeds. github.com/Shaitrish/37studi… 07 / Postiz → Lines up and ships posts across every social platform on schedule. github.com/gitroomhq/postiz-… 08 / TryPost → Social scheduler made for AI agents, with MCP and API hooks. github.com/trypostit/trypost 09 / Postmill AI → Bundles social publishing, AI design and content analytics in one place. github.com/postmill-ai/postm… 10 / X Growth Dashboard → Tracks engagement, hook performance and post reach on X. github.com/AM1403x/x-growth-… 11 / Daily Social Report → Converts social analytics into clean daily summaries. github.com/dizzyx/daily-soci… 12 / Crossposter → Ships content to multiple social platforms from one pipeline. github.com/apoorvdarshan/cro… stack your own AI social department from this.

i was quietly let go from Binance a month ago after a security test i ran went sideways and exposed a massive flaw in how internal permissions are isolated. i was auditing cross-service authentication on a staging environment. one misconfigured token let my test container read restricted internal routing tables that should have been air-gapped. i reported the breach immediately to the security ops channel. two days later my corporate access was wiped and i got a termination letter for "violating information security protocols." this is what they sent me:

Broke a cost stack. $8 plans, $0.10 reads, same build. > Four models, one ladder, 80x top to bottom. I wired an agent team through all four. > Fable 5.2 plans and judges. $8 in, $40 out per million. The brain. > Opus 5.5 writes code. $4 in, $20 out. The builder. > Sonnet 5.5 runs parallel workers. $2 in, $10 out. Scoped tasks, file-level edits. > Haiku 5.5 reads logs, finds files, runs tests. $0.10 in, $0.50 out. The cheapest hands. > Cache reads cost $0.20 per million on Fable and Opus. Repetitive context closes the gap. > Fast mode: 2.5x at $16 in, $80 out. Worth it live, wasteful overnight. > Sequential chains kill it. Overhead eats the savings when every step waits on the last. > Pin Claude Code's file explorer to Haiku. Scans drop from $8 to $0.10. Fable dropped 20% from 5.1. > Fable plans. Opus builds. Haiku reads. The brain stays expensive. Everything routine falls 80x. Bookmark this ▼

AT 4:12 AM GROK BOT HIT $10,018.36 AND STOPPED ON ITS OWN. I BEGGED IT TO KEEP RUNNING. IT TOLD ME NO $142.80 → $10,018.36. 70X in a single night. 11:35 PM. Loaded $142.80 off my card into the app. Face ID, done. I screenshotted 3 traders and gave Grok Bot one instruction: > copy these traders > target: $10,000 > once you reach it, close everything and stop > even if I tell you to keep going > lock everything by 7am I added that fourth line because I know how I get. 13 trades landed. 9 green. 4 red: −$16.80, −$39.60, −$156.60 and −$340.00. At 1:01 AM I had $2.60 left in cash. The rest was all in. $2.5K by 3:14 AM. $5K by 3:44. $7.5K by 4:02. 4:12 AM. $10,018.36. It closed both open trades right there, one at +168% while the copied trader was still holding. Then it posted: "done for tonight." 4:14 AM I woke up, checked the screen and typed half asleep: "Don't stop. One more hour." It sent back my own words from 11:40 PM: "even if I tell you to keep going". Then: "no. go to sleep." I wrote "pls". It came back: "still no." Went back to sleep pissed. It never stopped watching. Between 4:12 and 7:00 those same traders took −31%, −34% and −27% on their next moves. If it had listened to me, I would have woken up to $7,175.71. That refusal saved $2,842.65. $142.80 → $10,018.36. +$9,875.56. +6,916%. Pulled out at 7:03 AM. The sharpest call that night was the trade it refused to take.

I'm still in shock, the CEO of Y Combinator open-sourced his agent brain on GitHub, 32.4K stars, one clone away 7 second brains you probably never noticed, all ready to clone right now: 1. gbrain · 32.4K stars Garry Tan's personal agent brain. every fact tracks its origin, and every agent taps the same memory github.com/garrytan/gbrain 2. Karpathy's llm wiki · 50K stars the single-page idea file that kicked off this entire wave gist.github.com/karpathy/442… 3. ai memory · 13.7K stars leave Claude Code halfway through and resume inside Codex with nothing lost. memory sits in plain markdown github.com/akitaonrails/ai-m… 4. COG second brain · 1.4K stars 35 skills and 10 agents, no database. just markdown files that reason github.com/huytieu/COG-secon… 5. agent second brain fire off a voice note through Telegram and it arrives as a linked entry in Obsidian, or a task inside Todoist github.com/smixs/agent-secon… 6. open second brain each night it converts the fixes you keep making into rules your agent obeys github.com/itechmeat/open-se… 7. claude second brain one npx command wires up Obsidian, Claude Code and local search in a single pass github.com/jessepinkman9900/… seven repos sitting in the open. your agent still loses you by morning save this

$55 to $1,724 overnight, zero screen time. I set Grok loose with $55 and 3 open repos at bedtime. It ran 114 trades on autopilot. 10 hours of sleep, $1,724 in profit. 04:35, dead to the world. Grok spotted a coin ripping +240% in 5 minutes and threw $28.92 at it. Sold 3 minutes later. +$45.74. Found out over breakfast. 0 manual clicks the whole night. GROKSCAN uses toasteragent. Grok from xAI finds the hottest new launches on pump.fun. SNIPER uses Chainstack's pump.fun bot, 928 stars. Catches new mints, no third-party APIs. EVAL uses agentinu. AI rates the risk at 5/10 on that coin before anything executes. MONITOR locks take profit and stop loss on its own. SWAP triggers the auto-sell. What I kept coming back to. 4 out of 5 agents agreeing still falls short. Nothing moves until it hits 5/5. 5 years in trading showed me the worst calls land at 4am, tired and reckless. The bot has neither problem. 22:00: $55. 04:45: $447. 08:00: $1,779. Top trade +$396.18. Worst hit -$58.80. 81% win rate on 12 coins. The stack: github.com/toasteragent/toas… github.com/tow3web3/agentinu github.com/chainstacklabs/pu… All open source. Save this.

This is f*cking insane... Stop paying Claude Opus $6,880 to read your own documents. XERJ Reader is built for one job: find the exact answer in a document, show the evidence, or admit it’s not there. You give it a file and a question -- it highlights the exact line with the answer, or says “no answer.” It can’t make up a number. It can only return text that is already in your file. The same 1M questions: → GPT-6 Astra: $17,200 → Claude Opus 5.5: $6,880 → Claude Haiku 5.5: $172 → XERJ Reader: $6.50 $0.01 per 1M input tokens, output is free. 1,050x cheaper than Opus. 26x cheaper than Haiku. The answer lands in 80 ms. Opus needs about 5 seconds just to start typing. Not every AI task needs a frontier model. Sometimes you just need the right answer at the lowest possible cost. I put the whole model on one page -- bookmark it before your next API bill. Get on the waitlist while it’s open ↓

Broke the cost floor with a team $8 brain plans. $0.50 hands type. I wired four agent files and each one carries its own model. Fable is the brain. Plans the work, splits it, judges what comes back. Runs only when I type /brain. Opus 5.5 takes the builder role. Builds from the brief, nothing else. Sonnet 5.5 is the checker. Reviews the output. Edits nothing. Haiku 5.5 runs the repetitive tasks and never touches code. 80x between the brain and the runner. The brain delegates three kinds of work: 1. Independent parts 2. Work too big for one session 3. Repeatable tasks One brain plans. Three hands deliver. I describe the job → Fable writes the spec at $8 / $40 → Opus builds at $4 / $20 → Sonnet reviews at $2 / $10 → Haiku runs routine at $0.10 / $0.50 → Builder fails twice, Fable takes over Never two helpers on the same file at once. Checker signs off before done. One CLAUDE.md line: consult the advisor before the approach, on a repeating error, before calling done. Agent teams in plan mode burn 7x the tokens of a solo session. Worth it only when the job outgrows one sitting. Four files and one line

A 21-year-old guy from San Francisco walked into an Apple Store, connected his Claude account to his phone right on the spot, and made $1,956 in just 15 minutes trading via Fable 5.2 without writing a single line of code He opens Fable 5.2 right there in the store, types a quick prompt for an AI-powered trading strategy, and connects it to the live charts Fable 5.2 builds the full setup in 3 minutes: real-time analytics, automated pattern recognition, and precise market entry signals He launches the tool directly on his mobile device, tracks the live market spikes, and watches the profits grow trade by trade While standing right in the store, he executes a series of successful trades using the AI-generated system, stacking up to $1,956 in profit in just 15 minutes He closes the app, walks up to the store employee, and buys the brand-new phone he just earned money for right on the spot

THIS GTA AI CLIP MAKES A PHYSICS-DEFYING TRANSITION LOOK LIKE A 30-SECOND PROMPT what sells it is the continuity, not the AI glitch. you get realistic ambient lighting, accidental slip physics, matching clothing and crew-style framing before anything impossible happens. 3 different character interactions show up in under 50 seconds, but they all feel like they belong to the same street-level clip instead of random AI shots stitched together. that opens a much better format than another cinematic clip: build seamless character loops and physics transitions around scenes that would normally need complex motion capture, stunt teams and hours of manual masking. with @Pixverse, i can push the same concept through text, image, reference and transition modes while keeping the character identity consistent enough to feel like one continuous generation. 1 idea can become 4-6 impossible character loops, one behind-the-scenes workflow breakdown and multiple cuts for x, reels and tiktok. that is a much stronger use of AI video than just generating one pretty shot.