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tracking what the crowd misprices
Joined July 2026
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Banff retweeted
anthropic and openai put the real manuals for claude and chatgpt on github, for free
most people who use them every day have never opened one.
10 repos. 783k stars between them.
prompting courses, agent code, the coding agents themselves, and an openai model that runs on a 16gb laptop.
here's what's inside:
learn -> how the labs prompt their own models
prompt-eng-interactive-tutorial · anthropic's 9-chapter prompting course, with exercises and an answer key
github.com/anthropics/prompt…
claude-cookbooks · copy-paste recipes: rag, sub-agents, pdfs, vision, prompt caching
github.com/anthropics/claude…
openai-cookbook · openai's own examples and guides for its api
github.com/openai/openai-coo…
run -> the agents themselves
claude-code · claude in your terminal. reads your codebase and handles the routine work
github.com/anthropics/claude…
codex · openai's coding agent, runs locally on your computer
github.com/openai/codex
gpt-oss · openai's open-weight models. the 20b one runs in 16gb of memory
github.com/openai/gpt-oss
build -> your own agents
openai-agents-python · agents, handoffs, guardrails, voice. works with 100+ models, not just openai's
github.com/openai/openai-age…
shared -> the plumbing both labs use
skills · the folders claude loads to make word, excel, powerpoint and pdf files
github.com/anthropics/skills
mcp servers · the "usb-c port" that plugs ai into your files, apps and tools
github.com/modelcontextproto…
agents.md · one file that tells any coding agent how your project works
github.com/openai/agents.md
and that's the funny part:
these two fight over everything. except the plumbing.
skills started at anthropic. now chatgpt, codex, cursor, gemini cli and copilot load them.
mcp started at anthropic. now it lives at the linux foundation, in a home openai co-founded.
agents.md came from openai. 60k+ projects use it.
and the skills repo has 177.5k stars. claude code itself has 148.8k.
the manual got bigger than the product.
stop saving prompt screenshots. read what the labs wrote.
save this for the weekend.
anthropic and openai put the real manuals for claude and chatgpt on github, for free
most people who use them every day have never opened one.
10 repos. 783k stars between them.
prompting courses, agent code, the coding agents themselves, and an openai model that runs on a 16gb laptop.
here's what's inside:
learn -> how the labs prompt their own models
prompt-eng-interactive-tutorial · anthropic's 9-chapter prompting course, with exercises and an answer key
github.com/anthropics/prompt…
claude-cookbooks · copy-paste recipes: rag, sub-agents, pdfs, vision, prompt caching
github.com/anthropics/claude…
openai-cookbook · openai's own examples and guides for its api
github.com/openai/openai-coo…
run -> the agents themselves
claude-code · claude in your terminal. reads your codebase and handles the routine work
github.com/anthropics/claude…
codex · openai's coding agent, runs locally on your computer
github.com/openai/codex
gpt-oss · openai's open-weight models. the 20b one runs in 16gb of memory
github.com/openai/gpt-oss
build -> your own agents
openai-agents-python · agents, handoffs, guardrails, voice. works with 100+ models, not just openai's
github.com/openai/openai-age…
shared -> the plumbing both labs use
skills · the folders claude loads to make word, excel, powerpoint and pdf files
github.com/anthropics/skills
mcp servers · the "usb-c port" that plugs ai into your files, apps and tools
github.com/modelcontextproto…
agents.md · one file that tells any coding agent how your project works
github.com/openai/agents.md
and that's the funny part:
these two fight over everything. except the plumbing.
skills started at anthropic. now chatgpt, codex, cursor, gemini cli and copilot load them.
mcp started at anthropic. now it lives at the linux foundation, in a home openai co-founded.
agents.md came from openai. 60k+ projects use it.
and the skills repo has 177.5k stars. claude code itself has 148.8k.
the manual got bigger than the product.
stop saving prompt screenshots. read what the labs wrote.
save this for the weekend.
this is pure f*cking treasure
10 GitHub repos with 525.6k combined stars that turn your laptop into a sci-fi lab
sharper photos. your own google photos. science papers in your language. a chatgpt that runs offline. your own search engine. a memory of everything you've seen. images, video, 3D. and your own AI trained from scratch
01 Upscayl · blurry photo -> sharp, free desktop app
▸ github.com/upscayl/upscayl
02 Immich · your own Google Photos: finds faces, search by what's in the photo
▸ github.com/immich-app/immich
03 PDFMathTranslate · translate science papers, formulas and layout stay put
▸ github.com/PDFMathTranslate/…
04 Jan · a ChatGPT alternative that can run 100% offline
▸ github.com/janhq/jan
05 Vane (ex-Perplexica) · a private answer engine you run yourself
▸ github.com/ItzCrazyKns/Vane
06 screenpipe · records your screen locally so AI can search everything you've seen
▸ github.com/screenpipe/screen…
07 ComfyUI · make images and video on your own machine
▸ github.com/Comfy-Org/ComfyUI
08 Wan2.2 · text -> 720p video on one gaming GPU
▸ github.com/Wan-Video/Wan2.2
09 Hunyuan3D-2 · one photo -> a textured 3D model
▸ github.com/Tencent-Hunyuan/H…
10 nanochat · train your own ChatGPT from scratch for about $100
▸ github.com/karpathy/nanochat
the loop:
fix what you have -> find what you saved -> read what you couldn't -> ask without the cloud -> remember everything -> make what doesn't exist -> build the AI itself
all 10 are free and open source
save this, then build your own lab
Banff retweeted
WTF, I JUST REPLACED A $500K DEV AGENCY WITH A $200/MO GROK BOT SETUP
Here is what my studio looks like in the cloud. Chief of Staff takes the brief and routes the work:
> ARCHITECT designs the database and API from my prompts
> FRONTEND (UI) builds the components and pixel-perfect screens
> FRONTEND (STATE) wires the logic and connects the endpoints
> BACKEND (CORE) writes the business logic and handles routing
> BACKEND (DATA) manages the DB queries and server config
> QA breaks the code, finds the bugs, and forces a rewrite BEFORE I ever see it
6 agents -> 1 shared operation -> automatic handoffs -> human approval
The secret isnt that these are six smart bots. It is that they share one persistent cloud environment
The backend bots dont need to make pull requests -> the frontend bots already see the code in the shared folder
No sync calls with a PM. No waiting on dev ops. Each bot keeps its own workflow, passes finished work forward, and I just approve the final build
Launching a product used to mean raising a seed round, signing a lease, and hiring a team. Mine took an evening
WTF, I JUST REPLACED A $500K DEV AGENCY WITH A $200/MO GROK BOT SETUP
Here is what my studio looks like in the cloud. Chief of Staff takes the brief and routes the work:
> ARCHITECT designs the database and API from my prompts
> FRONTEND (UI) builds the components and pixel-perfect screens
> FRONTEND (STATE) wires the logic and connects the endpoints
> BACKEND (CORE) writes the business logic and handles routing
> BACKEND (DATA) manages the DB queries and server config
> QA breaks the code, finds the bugs, and forces a rewrite BEFORE I ever see it
6 agents -> 1 shared operation -> automatic handoffs -> human approval
The secret isnt that these are six smart bots. It is that they share one persistent cloud environment
The backend bots dont need to make pull requests -> the frontend bots already see the code in the shared folder
No sync calls with a PM. No waiting on dev ops. Each bot keeps its own workflow, passes finished work forward, and I just approve the final build
Launching a product used to mean raising a seed round, signing a lease, and hiring a team. Mine took an evening
he had to jump a Formula 1 car while it drove straight at him
not a parked car. not a slow one. the car comes at the ramp at speed and he has to leave the ramp at the exact moment it arrives
go too early and the car passes underneath before he's over it
go too late and he lands on the rear wing, which he describes as razor-sharp, at the moment it's moving toward his body
that's the whole margin. one direction is nothing, the other direction is a blade
before he's allowed to attempt it, he has to land five clean practice jumps beside the moving car. miss one and the safety team pulls the plug on the whole thing
he misses. then he misses again
on one attempt he goes sideways in the air. on another he's convinced he flew too low, watches the replay, and he was nowhere near it
here's the part that gets him:
the wind
every gust changes where his body ends up in the air, and he can't feel how much until he's already committed. he calls it the hardest thing he's ever done mentally, and he isn't talking about the riding
then they tell him there are 30 minutes left on track
wind picking up, safety team watching, one or two attempts left in the entire day
he lands it. first person to ever do it
11M views on a man on a bicycle. no plot, no twist, no edit -> just a question your body answers before your brain does
that's three now. a room with no sound, a bottle with no inside, a bicycle over an F1 car. 31 million views between them, same shape every time
save this. a man spent all day being told the wind might kill him, and then jumped a moving F1 car anyway
a shape with no inside. he filled it with water anyway
pour water in and it stops almost immediately. the air has nowhere to escape, so it just sits there blocking you. tilt it and you get a little more in, then it blocks again
so he put the whole thing in a vacuum chamber
turn it on and the bottle starts bubbling. that's the air being pulled out through the neck, leaving as close to nothing inside as he can get
then he lets the pressure back in, and the water rushes up into the empty space on its own
still not full. so he runs it again, rarefying the smaller pocket of air that's left, and again after that
here's the part that breaks your head:
for a shape to have volume, it has to split the world in two. a ball does that. stretch it however you want, there's always a world inside and a world outside
a Klein bottle has no such line. follow its surface and you never cross a boundary, never pass through a wall, never end up anywhere that isn't the same side you started on
the inside is the outside. so there's nothing there to fill
he filled it anyway
that's the same shape as the room below. no plot, no payoff, just a question your brain won't drop -> can a thing with no inside hold anything at all
two videos, two impossible questions, 20 million views between them. Paone broke down why this format works in the article underneath
save this. the most watched thing today was a shape that shouldn't be able to hold anything, holding water
Banff retweeted
a 20-year-old put $1,000 on Trump saying two specific words on live TV. it paid $95,000
one question: will he say "fake news" this week?
here's the part most people miss:
he wasn't gambling. he was pricing a habit
"Trump says fake news" sounds random if you've never listened to him speak. if you have, it's closer to betting the sun comes up. the market priced a personality trait like it was a coin flip
that's the whole edge -> the crowd prices things by how silly they sound, not by how likely they are
the clip is the best part. he buys it, then can't sit still. pacing outside, checking the stream, staring at the podium. Trump opens his mouth, says it, and the kid comes off the couch
and that exact market runs every single week
the one for August 3-9 is live right now and closes Saturday:
-> "no no no" -> 95%, the crowd treats it as already done
-> "moon" -> 29c
-> "six seven" -> 18c
-> "stupid question" -> 14c
-> "epic fury" -> 13c
-> "karoline" -> 13c
the cheap ones at the bottom are where that edge lives. sometimes the crowd is right and they're genuinely unlikely. sometimes it just prices them low because they sound stupid, and that gap is the entire game
live board here: polymarket.com?via=banff
save this. the biggest edges hide inside the trades everyone else laughs at
a 20-year-old put $1,000 on Trump saying two specific words on live TV. it paid $95,000
one question: will he say "fake news" this week?
here's the part most people miss:
he wasn't gambling. he was pricing a habit
"Trump says fake news" sounds random if you've never listened to him speak. if you have, it's closer to betting the sun comes up. the market priced a personality trait like it was a coin flip
that's the whole edge -> the crowd prices things by how silly they sound, not by how likely they are
the clip is the best part. he buys it, then can't sit still. pacing outside, checking the stream, staring at the podium. Trump opens his mouth, says it, and the kid comes off the couch
and that exact market runs every single week
the one for August 3-9 is live right now and closes Saturday:
-> "no no no" -> 95%, the crowd treats it as already done
-> "moon" -> 29c
-> "six seven" -> 18c
-> "stupid question" -> 14c
-> "epic fury" -> 13c
-> "karoline" -> 13c
the cheap ones at the bottom are where that edge lives. sometimes the crowd is right and they're genuinely unlikely. sometimes it just prices them low because they sound stupid, and that gap is the entire game
live board here: polymarket.com?via=banff
save this. the biggest edges hide inside the trades everyone else laughs at
Banff retweeted
Creator of Claude Code:
"Onboarding used to take two or three weeks. It's now about two or three days"
That's what happened inside Anthropic when new engineers stopped asking humans questions and started asking the AI instead.
The whole talk is 24 minutes of tips from the guy who built the thing, and almost none of it is what people repeat online:
-> don't ask it to build the feature. ask it to make a plan first and wait for your approval. that one line fixes most bad results
-> give it a way to check its own work -> a test, a screenshot, anything. then it iterates on its own and lands close to perfect instead of stopping at "fine"
-> he doesn't type his prompts. he dictates them out loud, like talking to another engineer
-> nobody programmed it to read git history. it just knows. he says the same about half the things it does
save this. 24 minutes from the person who built it beats a hundred threads from people who didn't
Creator of Claude Code:
"Onboarding used to take two or three weeks. It's now about two or three days"
That's what happened inside Anthropic when new engineers stopped asking humans questions and started asking the AI instead.
The whole talk is 24 minutes of tips from the guy who built the thing, and almost none of it is what people repeat online:
-> don't ask it to build the feature. ask it to make a plan first and wait for your approval. that one line fixes most bad results
-> give it a way to check its own work -> a test, a screenshot, anything. then it iterates on its own and lands close to perfect instead of stopping at "fine"
-> he doesn't type his prompts. he dictates them out loud, like talking to another engineer
-> nobody programmed it to read git history. it just knows. he says the same about half the things it does
save this. 24 minutes from the person who built it beats a hundred threads from people who didn't
Banff retweeted
a piano holds 18 tons of string tension. guitar strings snap at 90 kilos
he put guitar strings on a piano anyway
the numbers said it couldn't work, and he listed the reasons before he started:
210 strings to buy. a professional tuner charges around $20 per string, so he was about to do $4,000 of labour by hand, having barely ever restrung his own guitar
the strings are too short for a piano, so he had to tie them together end to end
and not one guitar tuning peg fits a piano. it took him days of searching to find something that would
then he started threading. thinnest guitar string in the spot where the thinnest piano string sits, next one after that, no measurements, no math, just feel
he ran out of strings partway through, because tying them together ate more length than he calculated
but the tied ones rang clean. that was the moment it stopped being a joke
then he tuned all of it the only way he knows how -> a phone app and a guitar pick, string by string, on an instrument built to hold the weight of a small truck
and it played Wonderwall
that's the whole format. no plot, no twist, just a number that says impossible and a guy who does it anyway
save this. a piano that should have torn itself apart played the most overplayed song on earth
unrelated, but worth a read if you're into prediction markets, fresh piece from Boba:
a piano holds 18 tons of string tension. guitar strings snap at 90 kilos
he put guitar strings on a piano anyway
the numbers said it couldn't work, and he listed the reasons before he started:
210 strings to buy. a professional tuner charges around $20 per string, so he was about to do $4,000 of labour by hand, having barely ever restrung his own guitar
the strings are too short for a piano, so he had to tie them together end to end
and not one guitar tuning peg fits a piano. it took him days of searching to find something that would
then he started threading. thinnest guitar string in the spot where the thinnest piano string sits, next one after that, no measurements, no math, just feel
he ran out of strings partway through, because tying them together ate more length than he calculated
but the tied ones rang clean. that was the moment it stopped being a joke
then he tuned all of it the only way he knows how -> a phone app and a guitar pick, string by string, on an instrument built to hold the weight of a small truck
and it played Wonderwall
that's the whole format. no plot, no twist, just a number that says impossible and a guy who does it anyway
save this. a piano that should have torn itself apart played the most overplayed song on earth
unrelated, but worth a read if you're into prediction markets, fresh piece from Boba:
a shape with no inside. he filled it with water anyway
pour water in and it stops almost immediately. the air has nowhere to escape, so it just sits there blocking you. tilt it and you get a little more in, then it blocks again
so he put the whole thing in a vacuum chamber
turn it on and the bottle starts bubbling. that's the air being pulled out through the neck, leaving as close to nothing inside as he can get
then he lets the pressure back in, and the water rushes up into the empty space on its own
still not full. so he runs it again, rarefying the smaller pocket of air that's left, and again after that
here's the part that breaks your head:
for a shape to have volume, it has to split the world in two. a ball does that. stretch it however you want, there's always a world inside and a world outside
a Klein bottle has no such line. follow its surface and you never cross a boundary, never pass through a wall, never end up anywhere that isn't the same side you started on
the inside is the outside. so there's nothing there to fill
he filled it anyway
that's the same shape as the room below. no plot, no payoff, just a question your brain won't drop -> can a thing with no inside hold anything at all
two videos, two impossible questions, 20 million views between them. Paone broke down why this format works in the article underneath
save this. the most watched thing today was a shape that shouldn't be able to hold anything, holding water
In the quietest room in the world, you wouldn't be able to survive for more than 30 minutes
Even people who have been in it for just a few minutes begin to feel nauseous and dizzy
Your vestibular system works by constantly picking up tiny echo signals, but in that room it receives no response, so your body thinks something is wrong
Clap your hands -> and the sound will simply cease to exist
Pop a balloon -> and there will be no explosion, just the snap of the shell breaking
Everyone's voices sound as if they're right next to your ear, no matter where they are in the room
And the reason this even exists:
Harvard built the first devices of this kind during World War II, because testing acoustics outdoors meant spies could watch what they were doing
Here's what most people overlook:
This video racked up 11 million views in a single day
No complicated editing, no plot, no climax. Just one question your brain refuses to let go of -> What does silence actually feel like?
That's the whole point. The experiment doesn't need a plot. It needs a question that people can't stop trying to answer
In the article below Paone wrote about two forms that underlie every viral video. This video is the purest version of one of them
Save this. The most-viewed video of the day was a video in which 11 million people listened to silence
In the quietest room in the world, you wouldn't be able to survive for more than 30 minutes
Even people who have been in it for just a few minutes begin to feel nauseous and dizzy
Your vestibular system works by constantly picking up tiny echo signals, but in that room it receives no response, so your body thinks something is wrong
Clap your hands -> and the sound will simply cease to exist
Pop a balloon -> and there will be no explosion, just the snap of the shell breaking
Everyone's voices sound as if they're right next to your ear, no matter where they are in the room
And the reason this even exists:
Harvard built the first devices of this kind during World War II, because testing acoustics outdoors meant spies could watch what they were doing
Here's what most people overlook:
This video racked up 11 million views in a single day
No complicated editing, no plot, no climax. Just one question your brain refuses to let go of -> What does silence actually feel like?
That's the whole point. The experiment doesn't need a plot. It needs a question that people can't stop trying to answer
In the article below Paone wrote about two forms that underlie every viral video. This video is the purest version of one of them
Save this. The most-viewed video of the day was a video in which 11 million people listened to silence
A guy built a guitar where the strings float on magnets. push the magnet sideways -> every note bends at once
the first version was plastic. it collapsed under the string tension almost immediately
so he rebuilt it in metal, and the thing actually worked
what he found after that is the part nobody expected:
push the magnet sideways -> the pitch bends
push it toward the pickup -> the strings move closer and the volume rises
flick it -> the magnets shake and the whole instrument shivers
three completely different effects from one piece of metal, and none of them were designed. he found them by touching it
the whole guitar wobbles while you play. he described it as jumping on a trampoline with your hand
and it's so sensitive that hanging something on the magnet changes the weight, pulls on the strings, and knocks the guitar out of tune
here's what most people overlook:
this clip did 8M views, and there's no story in it. no twist, no reveal, no payoff at the end
it's just a man in a room discovering what his own invention does, in real time, on camera
that's the entire format. an experiment doesn't need a plot. it needs a result even the person doing it can't predict
you stay because he doesn't know what happens next either
save this. the most watched thing today was a guy touching a magnet and being surprised
credit to the guy who built it -> full video here: youtu.be/ueCO4spGNPs
my neighbor built an AI girl
men send her money. buy her gifts. write her poems. he says one of them flew to her city to meet her
there is no her
there's a 38-year-old in boxers in a gaming chair. he moves -> she moves. same second. he puts a hand on his chest -> she puts a hand on hers
last week he showed me his phone. three donations before noon. $120. $145. $52
his wife found out. she didn't yell. she asked him to make one for her too
his entire setup is a laptop and $21 a month
here's the part that should scare you:
he's a locksmith. no editing skills, no tech background, nothing. he learned it in an evening
which means the number of accounts like this isn't small, and there's no version of the internet where it gets smaller from here
every profile you scroll past could be a guy in a chair. the only reason i know about this one is that he lives next door
Paone wrote about why videos like this spread so fast in the article below -> the two shapes behind every viral video, and how they get built now
save this. the girl in the video is the least real thing you'll see this week





