Joying.eth retweeted
$44.82 in, $11,643.21 out by morning on a six-agent desk I never wrote a line of code for.
I loaded the Grok Bot terminal last night, dropped $44.82 into it and stopped asking the AI what to trade.
Woke up to $11,643.21. Six agents logged every single fill.
For the past year I kept going back to agents for picks, rereading the same chat threads over and over.
Last weekend I wired up a full trading system on Grok Bot. No hand-written code, ready to run on deploy.
Six agents on one control panel, each with a clear job:
1. Scanner hunts fresh pairs, flags volume spikes.
2. Rug check filters high-risk coins before any order fires.
3. Sizer scales position size with the live balance, never a fixed ticket.
4. Executor opens and closes every position, tracks slippage in real time.
5. Logger writes the reasoning behind each trade into the log.
6. Equity curve refreshes the second a position closes.
Funded the account with $44.82 before bed. Laptop stayed on the dashboard all night.
Opened it in the morning. $11,643.21.
Every order had its reasoning attached, all saved in the log.
That part surprised me more than the balance did.
I stopped agonising over whether to enter. Now I just read the fill log.
Starting balance: $44.82
Current balance: $11,643.21
The whole terminal, the agent stack and the dashboard were built inside Grok Bot.
One deploy and the system runs on its own.
$105 in, $3,657 out in 12 hours. I should have left this off.
I handed Grok 5 GitHub repos and a GMGN wallet. It trades better than I ever have.
152 trades. 62 winners from 76 closed positions. 34.8x.
-6% is the one number that matters. A hard stop locked on every trade.
Worst trade: ZELDA, -$12.
Best trade: LEEROY, +$345.
That spread is the entire edge. 5 years of trading showed me most blown months trace back to one loss you refuse to close.
This bot carries no ego.
It scanned 1,840 launches and filtered out every token with an unrevoked mint or a dev stacking 12%. Every wallet runs through scoring before any SOL leaves. Fill time: 34ms.
Every entry logs a reason. One buy fired because gmgnAgent was tailing a smart wallet. Another from gmgn-market catching a top gainer. 912 agent actions total. Not a single revenge trade.
7 hours in, the balance sat at $703. Then compounding kicked in. $2,605 by 21:15, $3,657 an hour after.
Built on:
GMGN Skills: github.com/GMGNAI/gmgn-skill…
PumpGrok: github.com/JohnDoeNull/PumpA…
GMGN Trading Bot: github.com/tr4m0ryp/GMGN_Tra…
gmgnAgent: github.com/0xilbiscione/gmgn…
Kaiser.Charon: github.com/kaiserern/Kaiser.…
Every repo free. Barely anyone runs the full set.
TypeSafe AI just stripped agent stacks down to one frontier call
A 26-year-old in Berlin clears $3,200 a month wiring Jev and Claude into one harness.
Jev is a judgment model from TypeSafe AI that takes program state and returns typed decisions. No free-form text, no reasoning.
Five gates wrap every agent step:
1. score files, keep 3 of 22
2. pick model tier: cheap, mid, frontier
3. write and run code
4. keep or drop the output
5. halt if the action is destructive
Only gate 3 calls Claude. The rest are judgment calls at p50 44 ms, p95 61 ms.
Jev scores the files, picks the tier and gates every output. Claude writes the code, runs it, passes tests.
Confidence drops below 0.7 and Claude takes over. It rechecks whether the task is done.
Splitting judgment from reasoning drops four of five calls off the frontier tier.
That split used to cost a team. Now it costs one config.
Joying.eth retweeted
Most dangerous filter a memecoin bot can carry.
I wired a seven-gate checklist and fed it 50 launches. 41 orders died before signing.
1. Authority. Both mint and freeze read null, or the order never fires.
2. Sell simulation. Dry-runs the full exit before a dollar moves. Revert means honeypot.
3. Liquidity. LP burned or locked 30+ days, order capped at 2% of pool.
4. Holder concentration. Top-10 wallets over 30% after stripping pool and burn kills it.
5. Creator history. Two rugs from the deployer in ten launches, coin rejected.
6. Price impact. Chase over 15% or impact above 3% at the moment of signing.
7. Freshness. Any gate older than 10 seconds stops the entire chain.
One fail kills the trade. No overrides.
50 in → 41 refused → 9 through. Score-only wallet: down 34%. Gate wallet: up 9%.
The 6x runner got blocked at one gate. That is what 41 refusals cost.
holy sh*t. one memory field feeds ChatGPT, Claude and Codex. re-explaining is dead.
3,948 memories in a single field. ChatGPT, Claude and Codex all pull from the same store.
1. Nine signals feed one field
2. Clusters link every memory
3. Three models read same pool
4. One bad entry hits all three
5. No wall between any layer
Telegram, GitHub, files, CRM, sales calls, email all pour straight in. The blast radius is not one wrong answer. It is every agent hallucinating off the same poisoned entry.
Adding another pipe takes minutes. Adding a permission layer between them takes the rest of the quarter.
The cluster map drifts and every thread tightens around its node ↓
Joying.eth retweeted
Absolute f*cking gold
One of the strongest setups sitting in Anthropic's Claude Code docs since April.
The play: stack Sonnet, Haiku and Opus 5.5 in a single session, each model pinned to what it does best.
Opus-tier reasoning on every high-stakes call, zero Opus spend on the routine turns.
One line to launch it:
claude --model sonnet --advisor opus
the split:
→ Sonnet 5.5 drives the session and handles all code
→ Haiku 5.5 scouts files and docs in parallel
→ Opus 5.5 waits on standby as advisor for the big decisions
→ no more burning Opus tokens on work that never needed them
Add one rule to CLAUDE.md and Opus steps in at three points:
→ before locking a plan
→ when the same error fires twice
→ before marking a task done
Sonnet codes. Haiku reads. Opus decides.
JEV works the same way one layer deeper: lightweight forks like file picks, tool calls and retries go through JEV in milliseconds, and only the choices that matter reach the big models
the full tree:
> Sonnet 5.5 on the main session, writing and editing code
> search crawls the codebase on Haiku 5.5
> grep tracks down call sites on Haiku 5.5
> docs grabs the API reference on Haiku 5.5
> Opus 5.5 as advisor, absorbs the full transcript when called
> JEV picks up micro-forks in milliseconds
Worth keeping on hand.
Pure insanity. for 20 years you searched other people's thinking, karpathy drops one concept, 5 minutes of wiring gives you a search engine that only finds your own notes, and you never once built it
andrej karpathy got 16M views on one post: spend more of your LLM budget building a second brain than writing code
every article you read, every podcast you caught, every meeting you sat through, every dm thread you kept, every tweet you drafted. all searchable in one query, forever
the ones already on it stopped opening chatgpt. they go to their own search bar now. that bar carries 11 years of their own thinking
the stack:
→ brew install obsidian, mkdir ~/vault, cd ~/vault
→ open claude code in that folder, init CLAUDE.md as the rulebook, /raw for sources, /wiki for your pages
→ drop any file into /raw. transcript, pdf, screenshot, meeting notes. one word: ingest
→ claude writes a wiki page, links it to 5 existing ones, updates CLAUDE.md with every new pattern it catches in how you think
→ no blank chats anymore. every question runs through the vault. every answer pulls from your own sources with dates and links
5 minutes to set up. runs forever on the laptop sitting in front of you right now
the alpha most skip:
> query your vault in one line and the answer pulls 5 of your own past notes with dates. google returns strangers. your vault returns you
> every ingest cross-links to 5 past pages on its own. after 90 days the vault answers questions you forgot you ever asked
> CLAUDE.md learns how you reason, what you flip on, what you dodge. by month 3 it drafts posts in your voice better than you manage at 2am
> flip two flags and the whole thing runs on local llama. zero API cost, zero vendor lock, your thinking never leaves the machine
> compounds over 10 years. by year 3 your vault knows more about what you believe than you do. by year 5 recruiters ask to see parts of it
the part most will scroll right past:
a coworker wired this on a saturday in february
by august his posts landed 4x the engagement on the exact same topics
by october his first draft of any doc was already stronger than your third
the gap is one 5 minute install and 90 days of feeding in what you already consume for free
bookmark this
Joying.eth retweeted
Claude Code just replaced every knowledge tool with 9 Markdown files.
3 layers, zero services.
1. 9 entries. 4 files, 4 folders, one skills directory. Plain Markdown.
2. CLAUDE.md holds my 6 answer rules and 4 edit rules in about 16 lines.
3. 8 percent of the 200-line ceiling. One import pulls HOME.md at launch, 4 hops deep.
4. notes/ keeps one idea per file. sources/ keeps one proof per outside claim.
5. No source file means no trust.
6. decisions.md logs every reversal I make. Old calls stay superseded, never deleted.
7. The agent reads the log and stops recommending what I already dropped.
8. The review Skill runs only when I call it. Never on its own.
9. No database. No vector store. No API. Obsidian sits on top without changing a file.
10. Auto memory lives outside the folder and ranks lower than my reviewed files.
Watch all three layers fold into one locked grid
Joying.eth retweeted
Handed Grok Bot $200 and a death sentence overnight
My one rule: survive or shut down. One prompt. 6 agents.
1. Scout swept 11,400 pools across four launchpads
2. Filter killed 99.2% of them. 94 survived the gates
3. Analyst scored each one from 0 to 1. Below 0.6, gone
4. Executor capped my entries at 10% of the stack
5. Risk held -8% stops and trailed every winner past +15%
6. Logger filed 112 kill reasons while I slept
41 trades by sunrise. 29 green, 12 red. Best hit: +$760 on SGRAVY. Worst loss all night: -$3.50.
I woke up to $2,811.31. A clean 14.06x on my $200 stack in 8 hours 12 minutes.
The desk starts in execution mode. Going live means handing your wallet key to the agent.
Bookmark this
Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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Joying.eth retweeted
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