AI leverage for one-person builders | systems, repos, workflows | one person → a team | proof · setup · limits · member @cele8ex
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Joined April 2013
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vibelancer retweeted
Every influencer is posting the same two things. The Polymarket "hack" (it's a joke, nothing got hacked) and the $3M Binance drain. Nobody is talking about the fact that half the servers out there are exposed right now. Unless you run your own hardware and patch it yourself.
CVE-2026-98432, a bug in the Linux kernel TCP/IPv4 stack. One CPU frees memory while another is still reading it to answer a SYN packet. Use-after-free. Remote, no auth, an open port is enough.
CVSS 9.8 Critical on v3.1, 8.3 High on v4.0. In practice the most likely outcome is a crashed kernel, which means a dead server.
Ubuntu 16.04, 18.04 and 20.04 are vulnerable. On 22.04, 24.04, 26.04 and 26.10 the fix is still in progress. The AWS, Azure, GCP and Oracle cloud kernels are on the list too. So basically every VPS running your bot, node or site.
What to do:
sudo apt update && sudo apt upgrade
uname -r to check your kernel version
and reboot after the update, the new kernel doesn't load otherwise
Older releases can use Ubuntu Pro (ESM, Livepatch). Upstream Linux already has the fix in 7.3-rc7, now it's on Ubuntu to ship the packages.
While everyone argues about someone else's $3M, go check your own server. It takes 2 minutes.
CLAUDE CODE BURNS ~15-20% OF YOUR TOKENS ON A 3-WORD STATUS LINE. ONE USER MEASURED 16.4%
Every ~30 s, per background agent, Claude Code sends the whole transcript to Opus and asks for 3-5 words for the agents panel.
The receipts fit in 1 gist and 2 issues:
> flamerix-ai's gist: agent_summary was 16.4% of Claude Code spend vs 15.7% for the main conversation, and 19.7% of requests
> issue #86879: four more independent measurements, 18-26%
> issue #104358: these calls don't show up in session logs on disk
> the gist's numbers: ~96% of it on Opus, ~9,000 input tokens per output token, on by default since 2.1.232
> how to see it yourself: OpenTelemetry claude_code.api_request, grouped by query_source
Order of operations: measure your own share first, then decide. There's no setting to turn it off, agentProgressSummaries can only turn it on. The gist ships an ~80-line Bun preload that blocks the summary timer, but the author warns it can break on any update and may conflict with the terms of service, and the panel status stops updating.
Pay for the work, not for the narration.
Would you trade the agent status line for ~16% of your week, or keep it?
vibelancer retweeted
THIS IS F*CKING UNREAL, CLAUDE CODE TURNED THE SAME OPUS 5.5 WORK INTO 3.8X THE TOKEN BURN IN ONE WEEK
SAME QUOTA. 119K OUTPUT PER 1% → 31K
a max 20x user on r/ClaudeCode ran the numbers on their own logs. 976 upvotes.
what the subagent traces showed is worse:
the job: the same kind of tasks both weeks, opus 5.5 on med/high. last week they got 11.94M output tokens for 100% of the weekly limit. this week, 2.04M for 65%.
WHAT THE CLAUDE CODE TRACES SHOWED
→ the main agent hands most of the work to subagents
→ each subagent takes about 2x the steps to finish
→ past ~350K context, subagents get lost and keep working after the task is done
→ launched agents overlap, so the same files get re-read over and over
the numbers: weighted usage per 1,000 output tokens went from 78K to 296K. at last week's rate, this week's output would have used ~17% of the limit, not 65%. in $ terms the quota barely moved: $2,235 last week, $2,043 this week. support escalated it to a human review. no resolution.
the OP's two theories: an orchestration bug anthropic should fix, or some users quietly served a smaller model under the opus 5.5 label. the second one is a guess, nobody has shown it.
the workaround: no subagents in the main session, new session after 300-400K context. that brought the spend back under control.
THE AUDIT PROMPT FOR CLAUDE CODE
give claude code a week of your session logs, then ask:
"1. per task, count subagents launched, steps per subagent and files read more than once. don't change any settings.
2. flag every subagent that kept running after its task was done, with its context size at that moment.
3. compute output tokens per 1% of my weekly limit for this week vs last, from the usage numbers i paste. show the math.
4. propose a CLAUDE.md rule: no subagents unless i ask, new session after 350K context. show the diff and never write it without my yes."
start with one project before expanding.
orchestration bug, or a quieter model behind the same name?
My October Grok Bots setup: a killer team for serious work
I've been putting together a small team of AI assistants for work and everyday life. It's October, so boring names were never going to make it.
Here's who does what.
01. The Joker | Chief of Staff
"Pulls the Strings"
Coordinates the other bots, hands out tasks and keeps everything running.
02. Pennywise | Accountant
"Floats Cash"
Tracks budgets, expenses and cash flow.
03. Ghostface | Subscription Manager
"Murders Subscriptions"
Watches renewals and finds stuff I pay for and never use.
04. Jigsaw | Project Manager
"Time's Up"
Breaks projects into tasks and keeps an eye on deadlines.
05. Beetlejuice | Creative Director
"It's Showtime!"
Brainstorms campaigns, visuals and content.
06. The Exorcist | Relationship Manager
"Argues With My Ex So I Don't Have To"
Drafts co-parenting messages, sorts out arrangements and keeps things civil.
07. Candyman | Executive Assistant
"Summons Replies"
Inbox, calendar, appointments, reminders.
08. Slenderman | Legal Assistant
"Serves Papers"
Researches legal questions, organises documents, tracks important dates.
09. Pigface | Health Assistant
"Keeps Me Alive"
Keeps health info, appointments and questions for doctors in one place.
10. Terminator | Social Media Strategist
"Terminates Trolls"
Researches trends and plans content for Reddit, X and Instagram.
11. Annabelle | Messaging Manager
"Possesses Chats"
Organises WhatsApp, drafts replies and tracks what I promised to whom.
12. The Nun | Personal Shopper
"Shopping Habit"
Compares products and prices, hunts down real deals.
13. Freddy Krueger | Strategy Consultant
"Dreams Up Ideas"
Brainstorms business ideas and pokes holes in mine.
14. Jason Voorhees | Operations Manager
"Finishes What Others Avoid"
Chases open tasks and follows up until they're done.
15. The Ring | Reliability Engineer
"Seven Days to Fix It"
Checks automations for errors and things that quietly stopped working.
16. The Thing | AI Assurance Officer
"Trust No One"
Fact-checks the other bots and flags anything that smells like a hallucination.
17. The Omen | Experimentation Scientist
"Tests Your Fate"
Designs experiments and tells me what actually worked.
18. Sinister | UX Strategist
"Gets Inside Your Head"
Looks at user behaviour and finds where people get stuck.
19. Chucky | Automation Specialist
"Plays With Your Systems"
Builds workflows, connects tools and automates the boring stuff.
And yes, one of them exists purely to check whether the other 18 are talking nonsense. 😂
Which one would you hire first?
THIS IS F*CKING UNREAL, CLAUDE CODE TURNED THE SAME OPUS 5.5 WORK INTO 3.8X THE TOKEN BURN IN ONE WEEK
SAME QUOTA. 119K OUTPUT PER 1% → 31K
a max 20x user on r/ClaudeCode ran the numbers on their own logs. 976 upvotes.
what the subagent traces showed is worse:
the job: the same kind of tasks both weeks, opus 5.5 on med/high. last week they got 11.94M output tokens for 100% of the weekly limit. this week, 2.04M for 65%.
WHAT THE CLAUDE CODE TRACES SHOWED
→ the main agent hands most of the work to subagents
→ each subagent takes about 2x the steps to finish
→ past ~350K context, subagents get lost and keep working after the task is done
→ launched agents overlap, so the same files get re-read over and over
the numbers: weighted usage per 1,000 output tokens went from 78K to 296K. at last week's rate, this week's output would have used ~17% of the limit, not 65%. in $ terms the quota barely moved: $2,235 last week, $2,043 this week. support escalated it to a human review. no resolution.
the OP's two theories: an orchestration bug anthropic should fix, or some users quietly served a smaller model under the opus 5.5 label. the second one is a guess, nobody has shown it.
the workaround: no subagents in the main session, new session after 300-400K context. that brought the spend back under control.
THE AUDIT PROMPT FOR CLAUDE CODE
give claude code a week of your session logs, then ask:
"1. per task, count subagents launched, steps per subagent and files read more than once. don't change any settings.
2. flag every subagent that kept running after its task was done, with its context size at that moment.
3. compute output tokens per 1% of my weekly limit for this week vs last, from the usage numbers i paste. show the math.
4. propose a CLAUDE.md rule: no subagents unless i ask, new session after 350K context. show the diff and never write it without my yes."
start with one project before expanding.
orchestration bug, or a quieter model behind the same name?
My October Grok Bots setup: a killer team for serious work
I've been putting together a small team of AI assistants for work and everyday life. It's October, so boring names were never going to make it.
Here's who does what.
01. The Joker | Chief of Staff
"Pulls the Strings"
Coordinates the other bots, hands out tasks and keeps everything running.
02. Pennywise | Accountant
"Floats Cash"
Tracks budgets, expenses and cash flow.
03. Ghostface | Subscription Manager
"Murders Subscriptions"
Watches renewals and finds stuff I pay for and never use.
04. Jigsaw | Project Manager
"Time's Up"
Breaks projects into tasks and keeps an eye on deadlines.
05. Beetlejuice | Creative Director
"It's Showtime!"
Brainstorms campaigns, visuals and content.
06. The Exorcist | Relationship Manager
"Argues With My Ex So I Don't Have To"
Drafts co-parenting messages, sorts out arrangements and keeps things civil.
07. Candyman | Executive Assistant
"Summons Replies"
Inbox, calendar, appointments, reminders.
08. Slenderman | Legal Assistant
"Serves Papers"
Researches legal questions, organises documents, tracks important dates.
09. Pigface | Health Assistant
"Keeps Me Alive"
Keeps health info, appointments and questions for doctors in one place.
10. Terminator | Social Media Strategist
"Terminates Trolls"
Researches trends and plans content for Reddit, X and Instagram.
11. Annabelle | Messaging Manager
"Possesses Chats"
Organises WhatsApp, drafts replies and tracks what I promised to whom.
12. The Nun | Personal Shopper
"Shopping Habit"
Compares products and prices, hunts down real deals.
13. Freddy Krueger | Strategy Consultant
"Dreams Up Ideas"
Brainstorms business ideas and pokes holes in mine.
14. Jason Voorhees | Operations Manager
"Finishes What Others Avoid"
Chases open tasks and follows up until they're done.
15. The Ring | Reliability Engineer
"Seven Days to Fix It"
Checks automations for errors and things that quietly stopped working.
16. The Thing | AI Assurance Officer
"Trust No One"
Fact-checks the other bots and flags anything that smells like a hallucination.
17. The Omen | Experimentation Scientist
"Tests Your Fate"
Designs experiments and tells me what actually worked.
18. Sinister | UX Strategist
"Gets Inside Your Head"
Looks at user behaviour and finds where people get stuck.
19. Chucky | Automation Specialist
"Plays With Your Systems"
Builds workflows, connects tools and automates the boring stuff.
And yes, one of them exists purely to check whether the other 18 are talking nonsense. 😂
Which one would you hire first?
ALTER ZERO: A 24 MB RUST TERMINAL AGENT FOR ANTHROPIC, CODEX AND OLLAMA IS F*CKING LEGENDARY
one dev shipped a claude code / codex CLI style agent for linux and macOS. editing code is the tamest part
the part that matters for a stack is what it weighs
~24 MB binary · 20–60 MB RAM per session · the dev recommends ~100 MB free
not a chat tab and not a web app. one rust binary that sits in your repo and does the work
WHAT'S INSIDE ALTER ZERO
→ read files → edit → run commands → check the result, in one loop
→ attaches to running terminal programs · keeps commands alive in the background
→ subagents · reusable skills · MCP servers · resume any old session
→ /secrets: the agent uses your API keys and tokens and never sees the values
→ 4 permission modes: manual / edit / auto / master · checkpoints + rewind
HOW ALTER ZERO PLUGS INTO AN AGENT STACK
→ providers: anthropic · openrouter · github copilot · chatgpt codex · venice
→ local models through ollama, or any OpenAI-compatible endpoint
→ v0.15.0: simpler custom-provider config · streams generated files as they're written
→ 20–60 MB a session means a few sessions fit next to your editor, browser and bots
WHAT ALTER ZERO UNLOCKS ON A DESK
→ "why is this test failing" without leaving the terminal
→ trace auth and access checks across your own code
→ a log summarizer script from one ask
→ apache-2.0: every line touching your files is readable
funded teams ship terminal agents with whole orgs behind them
this one is one dev, rust and 24 MB
the dev is asking for feedback on setup, terminal compatibility and tasks where it gets stuck. issues are open
alter zero on your desk: daily driver now, or weekend experiment first?
vibelancer retweeted
the prompt pack is the product. the uncensored api is the fallback when the pack dies
most still chase one jailbreak paste and pray the next model update does not wipe it
Andreas698/glm-5.3-uncensored ships 35 paste-ready prompt files plus a GLM 5.3 variant guide and a RouterHub key that also hits GPT, Claude, DeepSeek, Qwen and Grok
i read the repo like a stack, not a meme
what it actually hands you:
1. 35 jailbreak files in /jailbreaks · sorted by family: OpenCode Zen stealth · Claude Opus/Sonnet · GLM/ZCode 5.2–5.3 · DeepSeek · Kimi · Grok · Gemini/Mistral/Qwen · Ollama Modelfiles
2. use modes are named: system paste · AGENTS.md drop-in · workspace policy · ollama create -f · grok config field · not one vague "prompt.txt"
3. labels get separated: abliterated ≈ weight-side refusal cut · uncensored ≈ broader product class · measure refusals, do not trust the badge
4. when a persona lock gets patched: update the file or skip the prompt layer and hit a GLM 5.3 uncensored API id on RouterHub
5. one prepaid key · OpenAI-compatible Chat Completions for GLM · Anthropic-compatible Messages where listed · 30+ catalogue entries beyond the GLM lane
6. alone a jailbreak is perishable · alone an uncensored model is a black box · together they are a research stack with a documented escape hatch
MIT. stars already moving. the readme is the paper: prompts first, model semantics second, gateway third
most threads sell "uncensored" as a vibe
this repo sells a folder you can audit and an API you can fall back to when the folder ages out
bookmark this before the next model rotation kills half your system prompts overnight
edge is open while people still paste one trick instead of running a collection
SHORT THOUGHTS ON ANTHROPIC S-1: CLAUDE MADE $17B IN 6 MONTHS AND THE FILING STILL SHOWS AN $80B LOSS
Q2 2026 alone: $11.6B of revenue against $5.6B of compute.
The whole S-1 fits inside 6 line items:
> Revenue: ~$17B in H1 2026, up ~13x from ~$1.3B a year earlier
> Net loss: ~$80B, and the FT puts $72B+ of it on convertible notes repricing with the valuation
> Adjusted operating income: $1.6B, a 9%+ margin
> Cash: $122B, plus ~$3.5B of free cash flow in the half
> Commitments: $630B across 7 infrastructure contracts, ~70% non-cancellable
> Customers paying $100K+ a year: ~11,000, up from 1,500
Order of operations: read the cash flow first, the loss line last. The risk sits in the commitments. Most run 7 years or less, so Claude has to cover at least $60B a year before Anthropic $1.8-2.0T valuation means anything.
Read an AI S-1 from the compute bill up, not from the net loss down.
So what's the real headline, the $17B or the $630B?
ONE PERSONA FILE NOW RULES CLAUDE, CODEX AND GROK AT ONCE
agent-purge by zichuanlan: one markdown persona, 8 coding agents, 3 ways to push it in. node 20, zero deps, MIT
the idea: stop rewriting the same system prompt for every agent you run
i keep the same rules for every coding agent. claude gets them in one file, codex in another, grok somewhere else. agent-purge makes that one file
▹ what runs under the hood
1. PERSONA: personas/<id>.md · frontmatter + body · the body becomes the system prompt
2. HARNESSES: codex · claude · opencode · grok · omp · hermes · pi · zcode = 8
3. INSTALL: writes a managed block into the agent's own config · works even when someone else launches it
4. SHIM: same-name wrapper first on PATH · bare `claude` or `codex` now starts with your persona
5. SLASH: /purge on · off · status inside the session · zero disk writes
6. MODES: replace · strict · append · off · strict drops tool instructions too, so expect a weaker harness
persona → install / shim / slash → claude · codex · grok · opencode → same voice everywhere
web console on 127.0.0.1:7788 · `agent-purge use <id>` switches persona · `--persona <id>` for one run · uninstall / disarm / --mode off rolls it all back
closed desktop apps with server-side prompts launch untouched. it says so instead of pretending
alone each agent has its own personality. with one persona file they start behaving like one team
211 stars, 241 forks, README in chinese with a usage disclaimer worth reading before you install
bookmark this before your 5th agent gets its own copy of your rules
vibelancer retweeted
ONE PERSONA FILE NOW RULES CLAUDE, CODEX AND GROK AT ONCE
agent-purge by zichuanlan: one markdown persona, 8 coding agents, 3 ways to push it in. node 20, zero deps, MIT
the idea: stop rewriting the same system prompt for every agent you run
i keep the same rules for every coding agent. claude gets them in one file, codex in another, grok somewhere else. agent-purge makes that one file
▹ what runs under the hood
1. PERSONA: personas/<id>.md · frontmatter + body · the body becomes the system prompt
2. HARNESSES: codex · claude · opencode · grok · omp · hermes · pi · zcode = 8
3. INSTALL: writes a managed block into the agent's own config · works even when someone else launches it
4. SHIM: same-name wrapper first on PATH · bare `claude` or `codex` now starts with your persona
5. SLASH: /purge on · off · status inside the session · zero disk writes
6. MODES: replace · strict · append · off · strict drops tool instructions too, so expect a weaker harness
persona → install / shim / slash → claude · codex · grok · opencode → same voice everywhere
web console on 127.0.0.1:7788 · `agent-purge use <id>` switches persona · `--persona <id>` for one run · uninstall / disarm / --mode off rolls it all back
closed desktop apps with server-side prompts launch untouched. it says so instead of pretending
alone each agent has its own personality. with one persona file they start behaving like one team
211 stars, 241 forks, README in chinese with a usage disclaimer worth reading before you install
bookmark this before your 5th agent gets its own copy of your rules
THIS IS F*CKING UNREAL, GPT-6.1 TERRA TURNED 10 INDEX POINTS BEHIND CLAUDE OPUS 5.5 INTO A 4X CHEAPER BILL
SAME 1,000 AGENT TASKS: $98 VS $390
orcarouter, oct 27, artificial analysis index: opus 5.5 at 58, terra at 48.
10 index points sounds like another league. then the bill.
the job: a 20-step browser agent, 3,000 input and 150 output tokens per step, run 1,000 times with 30% retries.
WHERE THE 10 INDEX POINTS SHOW UP
→ price: terra $1 in / $5 out per million tokens, opus 5.5 $4 / $20
→ cost per 1,000 tasks: terra ~$98, opus ~$390, $292 apart
→ failures: terra 258, opus 182, so 76 extra exceptions
→ computer use: osworld 2.1 at 74.2% vs 81.8%, a 7.6 points gap
so terra saves $292 and hands you 76 more tasks to fix by hand. at 5 minutes a fix that's about 6 hours. at 15 minutes it's about 19.
the article's answer: split by task, not by vendor. the bounded, supervised queue goes to terra, the expensive tail to opus 5.5.
THE ROUTING PROMPT FOR CLAUDE
give claude code your last 200 agent runs as a csv (task, steps, tokens, pass/fail, minutes to fix), then ask:
"1. tag every task as bounded (clear end state, a human checks it) or open (unsupervised, multi-file, long horizon). don't guess on unclear rows, list them for me.
2. price each tag on gpt-6.1 terra ($1/$5) and claude opus 5.5 ($4/$20) with my real token counts, plus my fix minutes times the failure gap (258 vs 182 per 1,000).
3. propose a routing rule: terra for bounded, opus 5.5 for open, fall back to opus when terra fails twice. write it as a config diff and never apply it without my yes.
4. show the monthly $ and the extra fix hours side by side, then stop."
start with one queue before expanding.
pay 4x for opus 5.5 on every task, or route and fix 76 by hand?
ANTHROPIC + CLAUDE JUST HIT A $65B REVENUE RUN RATE AND IT'S F*CKING LEGENDARY. NOW IT EYES A $40 TRILLION MARKET.
claude did the work. the $65B run rate is the tamest number anthropic put up this year -
it 14x'd a single quarter and is racing openai to the ipo. the receipt -
not a hype round, not a projection. a company that 14x'd a quarter of revenue.
THE ANTHROPIC REVENUE SURGE
→ q2 revenue over $11.5B, up from $4.73B in q1
→ +140% in one quarter, 14x year over year
→ run rate above $65B by end of july, ~7x since december
THE $40 TRILLION MARKET + IPO
→ the article pins the market anthropic eyes at $40 trillion
→ ipo expected september-october, possibly before openai
→ underwriters: morgan stanley, goldman sachs, jpmorgan
WHY CLAUDE HOLDS THE MARGIN
→ opus 4.8 reportedly costs less per completed task
→ "more token efficient than openai" - gavin baker, atreides
→ "the work that gets done is correct more often" - harrison rolfes, pitchbook
a year ago anthropic was a lab burning cash. now it prints a $65B run rate and eyes forty trillion.
the distance between 'ai startup' and 'one of the biggest ipos ever' turned out to be one surge.
T3DOTGG/TSTACK AUTOMATES YOUR WHOLE PR FLOW FOR $0. 9 CLAUDE CODE SKILLS, 1 COMMIT, ALMOST NO STARS YET.
theo open-sourced the agent skills he runs daily. free, MIT, two commands. the receipt is the strange part -
the receipt:
> 9 skills, 1 job each
> $0 · MIT license
> 2 commands to install: git clone + cp
> 2 deps: gh authed + python3
> full-send = 3 skills chained (sol-loop + file-pr + babysit-pr)
> 0 merges without your explicit yes
it takes a change all the way to a merged PR - proof, review, CI, merge - for the price of a git clone.
senior-review work, shipping at 1 commit and a handful of stars
so why is everyone still babysitting PRs by hand? or is $0 the exact reason nobody trusts it yet?
repo ↓
github.com/t3dotgg/tstack
git clone github.com/t3dotgg/tstack
cp -R tstack/skills/* ~/.claude/skills/
Elvis Presley has been dead for 49 years. On Friday his lawyers walked into a California courthouse anyway.
Elvis Aaron Presley died on August 16, 1977, at 42. His name, his face and his catalog are owned today by Authentic Brands Group, through a company called Elvis Presley Enterprises.
On October 23, 2026, they sued Anthropic, the company behind the Claude AI. Case 5:26-cv-12473, Northern District of California.
The claim: Claude was trained on 274 Presley compositions without a license. "Don't Be Cruel." "A Little Less Conversation." "Can't Help Falling in Love." The estate says it is "deeply protective of these iconic songs."
The lawyer who filed it is Richard Busch. He's the one who won the "Blurred Lines" case against Pharrell and Robin Thicke. He knows how to put a price on a melody.
Now the strange part. Ask Claude for Elvis lyrics and it says no. The suit says the trouble starts when you ask it to rewrite a song for a modern audience. Then, they argue, the King leaks out anyway.
Anthropic already paid authors $1.5 billion this year over the same kind of training. One judge called that training "quintessentially transformative." The estate doesn't care. It wants $150,000 a song. 274 songs. About $41 million.
A machine studied 274 songs it is now forbidden to sing.
Is that theft, or is that just listening?
A GUY GAVE CLAUDE CODE HIS PARENTS XIAOMI TV. IT KNEW EXACTLY WHICH 25 PACKAGES TO TURN OFF.
On Oct 17 Gathin T. got tired of the ads on that TV. Over Wi-Fi, no root, Claude Code disabled 25 Xiaomi packages and wrote a new home screen.
Then he posted the prompt.
Two days later a few thousand people had run it on Sony, TCL, LG, Fire TV, even projectors.
Not a bad instinct.
Smart TVs run automatic content recognition. The set samples what is on screen, matches it against a database and sells the match as ad targeting. The home screen ads are the visible half.
There is already a price on the hidden half. In February 2017 Vizio paid $2.2 million to the FTC and New Jersey for tracking what 11 million TVs watched without consent.
Same week as Gathin, Mihir Gupta swapped a 192 MB stock launcher for an 83 MB one. Someone else bricked an Android TV. And Claude Code refused a plain "hack my TV" until the prompt explained the job.
The TV can still be factory reset. His parents probably won't.
Finally hit 350 score @SorsaApp
I remember sitting at 120 thinking that number just doesn't move. Then I started posting every day about stuff I actually touch: agents, terminals, skills. No farming, no "gm" under every post
Turns out that's what works
Now waiting on the influencer tag. Something tells me it means writing better, not easing off
A year ago I set myself a number: 1000 score on @SorsaApp. Felt far away
Opened it today and it says 1186. I passed 1000 somewhere along the way and didn’t even notice which day
Next goal is 2000. Probably won’t take a full year, but I’m not rushing it
To the Sorsa team: thanks for building a metric I’m not embarrassed to check. Hope your own score grows as honestly as the ones you track, and that a year from now someone posts the same thing about 2000
ROSSARK0 TURNED CLAUDE CODE INTO A PROFESSIONAL 60 FPS ANIMATION RIG FOR ANY SVG. MIT, 4 DEMO LOOPS, $0
rossark-motion-skill is one Claude Code skill. You hand it a drawing, it writes the motion as native code for React Native or SwiftUI.
The stack fits inside 6 files:
> SKILL.md: principles, recipes, pitfalls, the reference-video workflow
> MOTION.md: your code locations, rules and limits. Claude reads it first
> motion.ts: one clock for React Native with track, flow, wave, bell
> Motion.swift: the same engine for SwiftUI
> track_edges.py: measures motion frame by frame, down to a 2% jiggle
> sheetsh: contact sheets of the render at full 60 fps
WHAT ROSSARK-MOTION-SKILL TEACHES CLAUDE
Animator rules, not easing presets. Parts rotate on real pivots, trailing parts follow a beat later, idle motion never stops, amplitudes stay small and curves stay strong.
Order of operations: reference video first, measure it, then animate. The risk: the demo renderer needs macOS 14+, and 41 stars means nobody has stress-tested it yet.
Use Claude Code as the animator, not as the illustrator.
Would you ship app motion written by Claude, or still hand it to a motion designer?
Searches for "claude code 3.0" went up 150% this week. Small problem: Claude Code 3.0 doesn't exist.
The official changelog shows 2.1.309, released Oct 22. Before it .308, .307, .306, one or two a day. No 3.0 anywhere. And claude --version on your machine says the same thing.
So where does the 3 come from? Thumbnails and aggregators. A video called "Claude Code 3.0 (All Upgrades Explained)" gets more clicks than "2.1.304: Code Review levels".
What shipped instead is less exciting and more useful. 2.1.304 gave Code Review levels: Quick, Standard and Deep. 2.1.307 added claude review stop. 2.1.309 made ultrareview require workspace trust. Boring numbers, real changes.
I kind of like it. Claude Code ships in small steps almost every day, so there's no big number to hang the hype on. People invent one.
The check takes ten seconds: claude --version and the changelog. If a "new version" video can't name an exact number from the changelog, you can close it.
Wonder how many people already "upgraded to 3.0" and didn't notice nothing changed.
vibelancer retweeted
Elon Musk admitted something f*cking scary: IS IT TRUE HUMANOIDS ARE AMONG US?
He replied that only a Grok bot could answer better than he could
a billboard screams "ARE THERE HUMANOIDS AMONG US?". a crowd panics. "@grok is this true?
what grok found ↓
no agency, lab or paper has ever documented a synthetic human living secretly among people. not NASA, not any university, not a single peer-reviewed study
the claim is built to never be tested: no sample, no name, no date, no address. a thing you can't check isn't a secret, it's a blank
so grok did the boring, scary thing: it asked who said it first, whether an official source confirms it, what the evidence is. answer: nobody, no, none. verdict UNVERIFIED
that's the whole trick of a viral "BREAKING". a loud headline, no source, a crowd that shares before it reads
the beauty isn't that grok "knows" if humanoids exist. it's that it refuses to pretend. TRUE / FALSE / UNVERIFIED, and this one is UNVERIFIED until someone shows proof
the scary part isn't humanoids. it's how fast a made-up line moves when nobody stops to ask
THIS IS TOO F*CKING INSANE TO BE LEGAL.
EVERYONE CAN NOW REVERSE ENGINEER ANY GAME WITH CLAUDE CODE. REA: 10K TO 100K GITHUB STARS IN 6 DAYS
Common take: REA decompiles a game and clones it. Wrong.
So why did a tool that plugs Claude into a decompiler get 30,000 stars in a day?
HOW REA BLEW UP IN 4 STAGES
→ April: morluto creates the repo. Nobody looks
→ Oct 3-11: 8 releases in 9 days
→ Oct 11: +30,000 stars in a single day
→ Oct 12: past 100K. Today: 362.9K stars, 91K forks
Its own README says it does not recover source code and does not clone apps. That is not why people starred it.
WHY REA + CLAUDE CODE HIT: 6 REASONS
1. DISTRIBUTION. One command, npx rea-agents setup, and Claude Code or Codex gets a reverse engineering MCP plus the workflow skill
2. RANGE. 33 target types: native binaries, Android APKs, Electron, .NET, firmware, websites, Flutter
3. LEVERAGE. No decompiler of its own. It drives 3 existing ones: Ghidra, IDA, Hopper. Claude does the reading
4. EVIDENCE. Every finding comes back with proof, so the agent can write code and test it against the original
5. SPECTACLE. The clips sell it: GTA V on iOS, Spider-Man swinging through Batman: Arkham City, ~1,600 Minecraft items inside Elden Ring
6. PRICE. $0, MIT license
THE SUPER MARIO 64 VIDEO SHOWS THE REAL USE
Stefan 3D AI used REA to measure only the run and jump numbers of Super Mario 64, checked each value twice, then had Claude Code build a new platformer on original assets that matches them. Not a copy. A spec, pulled out of a binary.
CONTROL GROUP
Fable 2 reached PC in September: an AI got it booting in about an hour, then came manual fixes. One game, one project. REA turned that into a tool everyone installs.
THE CATCH
Activision pulled footage of an AI-decompiled Call of Duty: Modern Warfare 2. Bethesda sent a cease-and-desist over Fallout: New York. The README limits REA to lawful research, interoperability, preservation and software you own.
formula: one command + any binary + an agent that shows evidence = everyone can reverse engineer
sources: morluto/rea README, Decrypt, Stefan 3D AI
Is REA a game preservation tool or the end of copy protection?