JUSTASTUDENT

[JUSTASTUDENT @STUDENTOO5]

(1/8)
🚨 SAFETY EMERGENCY: @Airbnb @AirbnbHelp @brianchesky @TaraBunch I am a female Superhost in Toronto being held hostage by a predatory guest. He is physically blocking access, making racist remarks, and now demanding my personal home address. Support is laughing at me. (Case # A84868555)

[Anatoli Kopadze @AnatoliKopadze]

NVIDIA CEO, Jensen Huang:

"Nobody writes prompts anymore. The new job is to write and handle loops."

This is the shift that's going to define the rest of 2026.

53 minutes of pure insight from one of the richest men on earth.

Watch it, then read the full guide on how to actually use loops below.

[Data Driven Stocks @stockdatamarket]

I found something truly amazing! No stock market trader should miss this.

The VIX often shoots into the stratosphere after a long weekend. And we're not talking about a small chance difference - but almost always the case.

[Shen Lao @shentrades]

cheap $SPY 0DTE options feel like a deal.

they're not.

here's why buying way out of the money options
is one of the most expensive mistakes in 0DTE.

let's do the math.

you see SPY at $750 rejecting resistance.
you want puts.

option A: $749P (1-strike OTM) priced at $1.00
option B: $745P (5-strikes OTM) priced at $0.15

option B looks cheaper.
but here's what you're actually buying:

for option B to hit +20% —
it needs to go from $0.15 to $0.18.
that sounds easy.

but the delta on a 5-strike OTM 0DTE option
is roughly 0.05 to 0.08.

that means for your option to move $0.03 —
SPY needs to drop $0.40 to $0.60.

wait. that's the same move option A needs.

except option A at delta 0.30
moves $0.12 to $0.18 on that same $0.40 to $0.60 SPY drop.

that's +12% to +18% on option A.
versus +20% on option B.

but here's the real problem:

theta.

a $0.15 option loses value so fast
that even if SPY moves exactly where you need it —
theta has already eaten half your gain.

in a 1 to 5 minute hold —
theta is actively working against you every second.
the cheaper the option the faster it bleeds.

the 1-strike OTM sweet spot:

$0.75 to $1.50 premium.
delta of 0.25 to 0.35.

this means:
a $0.30 to $0.50 SPY move in your direction
translates to $0.08 to $0.18 on your option.
that's your +15% to +20% target.
hit in 1 to 5 minutes at a fresh level.
realistic. repeatable. clean.

a $0.15 option needs a miracle move
to overcome both the delta AND the theta bleeding.

it's not cheap.
it's a slow bleed disguised as a bargain.

always 1-strike OTM.
always $0.75 to $1.50 premium.
the math works there.
nowhere else.

[Baba Neal @BabaNeal007]

I want to thank @astocks92 for Introducing me this.
Recently started learning and watching the $VIX Futures Curve and it's quickly becoming one of my favorite market tools. Most traders only watch price. The VIX curve shows what institutions are pricing for future risk.

Simple example:
🟢 Healthy Market (Contango)
VIX = 18
Month 1 = 19
Month 2 = 20
Month 3 = 21
The market is basically saying: "We're not worried about tomorrow." This is usually where pullbacks get bought and bull markets continue grinding higher.
🔴 Risk-Off Market (Backwardation)
VIX = 20
Month 1 = 35
Month 2 = 32
Month 3 = 28
Now institutions are aggressively buying protection because they're worried about immediate risk. This is the type of structure often seen before or during major corrections and panic events.Right now, Month 1 Contango is around 6.4%, which is fairly healthy. Doesn't mean SPY can't pull back 3-5%, but the volatility market isn't currently pricing a major systemic event.

Think of it like weather forecasting:
Price tells you if it's raining today.The VIX curve tells you whether institutions think a hurricane is coming.
Still learning this indicator myself, but the more I study it, the more I understand why smart money watches volatility as closely as they watch price.

[kaize @0x_kaize]

OpenAI is giving Free Access to Codex

all you need is a public GitHub repo and 5 minutes for a form

and you wiil get:

$1,200 worth + 6 months of ChatGPT Pro + full Codex

window is still open. you don't need to be a senior dev. you don't even need to know what you're building yet

how to get?

1/ rab any AI editor - Cursor, Codex etc..
2/ build literally anything
3/ push it public on GitHub
4/ get a few stars on it

you can drop the repo link in the replies and I'll star yours repo

these programs approve half-finished projects all the time - that's what so many projects do, maybe OpenAI does too

link: https://t.co/eZiHTwcP2r

[z @zaynmcps]

CLAUDE DESIGN ES UNA HERRAMIENTA BRUTAL.

Tutorial de 20 minutos para crear webs enteras con Claude Design + Opus 4.7.

Aquí lo tienes. ⬇️

[Macro Alpha @MacroAlphaHQ]

Retail is cheering an 11% drop in crude like it means cheaper gas for the weekend.

You are completely misreading the tape.

Oil doesn't puke to $83 in 48 hours because of a localized supply glitch.

It violently reprices because institutional commodity desks are front-running a massive, synchronized global demand destruction event.

You are staring at Bitcoin at $63379 hoping for a breakout while the absolute leading indicator of global growth just triggered a recessionary circuit breaker.

Wall Street isn't just dumping barrels. They are liquidating the underlying economy.

The math doesn't care about your feelings. Save this receipt for when the panic starts.

$CL_F $BTC

[Livsun @L1vsun]

a russian mathematician solved trading in 1906

wall street found the paper 70 years later, built billion-dollar funds around it, never mentioned it to retail

andrei markov proved markets aren't random - they're state machines

trending, ranging, reversing - each state has a fixed historical probability of shifting to the next

build a transition matrix from real data:

trending -> stays trending: 68%
trending -> flips to range: 21%
trending -> reverses: 11%

now you're not predicting direction. you're entering on 68% historical completion

identify your state, size with kelly, take the trade when math says yes

that's the edge. the whole edge

renaissance has run this since 1988. 37 years of 66% annual returns

paper is free, data is free, implementation is 200 lines of python

Bookmark and use in your own strategy

they kept you staring at candles while they ran probability tables

[Simplifying AI @simplifyinAI]

🚨 Someone has built a self-hosted AI app that processes all your receipts and invoices automatically.

You upload a photo. It extracts the product, taxes, dates, and auto-converts the currency, and keeps your financial data 100% private.

100% Open Source.

[ₕₐₘₚₜₒₙ @hamptonism]

ok this is insane…

retail can now let Claude run 24/7 on the entire stock market. 

look at this workflow that alerts me every weekday at 9am ET:

>90 AI names across 11 sub-sectors, treemap

>sentiment + news on the top 10 gappers

>whale options flow, bull vs bear conviction

>technicals + earnings + implied moves on top movers

built in 3 mins. retail has never been this fed.

[zostaff @zostaff]

Jane Street made $39.6B in trading revenue last year. Half their stack is on GitHub. Here are 4 Repos.

janestreet/core , https://t.co/WVvxz6pWpr
The alternative OCaml standard library. What Jane Street uses instead of stdlib across their entire codebase. If you write OCaml - you already depend on Core, even if you didn't know it.

janestreet/magic-trace, https://t.co/a2G20vmGHc
High-resolution process tracer powered by Intel Processor Trace. 5.2k stars. When your profiler can't find the bug - magic-trace shows every CPU instruction the process executed.

janestreet/async,https://t.co/QiFdfb9G36
Cooperative concurrency in OCaml. The foundation of Jane Street's entire trading infrastructure, which moves billions of dollars daily.

janestreet/hardcaml, https://t.co/in8lvsoiBK
OCaml library for hardware design (FPGA, ASIC). Yes, they write chips in OCaml. Because they can.

[aditya @adxtyahq]

Chinese students are buying GPT-5.4/5.5 and Claude API access from Xianyu/Taobao proxy sellers for almost 96-97% cheaper

People are apparently burning 100M+ tokens a day for like $1 and vibecoding nonstop.

[Roan @RohOnChain]

https://t.co/h2Ea2y97ZS

[Dilum Sanjaya @DilumSanjaya]

Been thinking about sharing some fun, interactive science app ideas

Made this one today

UI design and planet textures
GPT Images 2

Code
Gemini 3.1 Pro

[The Architect @astocks92]

*TAPS SIGN**

Since 4/28
4/15
4/8
4/3

Theme hasn’t shifted.

Data lead the way Weeks AGO

Did you 🎧 ?

[UI/UX Savior @UiSavior]

Free design websites that should be illegal to know:

Backgrounds → https://t.co/xqvQbj8UG9
Inspiration → https://t.co/IDTg0fRObK
Fonts → https://t.co/YVq8VKXRLx
Remove image bg → https://t.co/fFMUvIgSBx
Animate anything → https://t.co/IgYkuTGsX1
Image gen → https://t.co/E2vRPf2shl
Bento → https://t.co/tABHzZbOsM
Image/Figma conversion → https://t.co/1Rhbyl7tbb

[UI/UX Savior @UiSavior]

Sites on the internet for design inspiration.

Web Design → https://t.co/IDTg0fRObK
Landing Pages → https://t.co/ulUYJp3EDf
Saas Websites → https://t.co/EacR7Liy9H
Navbar → https://t.co/1YHU4yfOxW
CTA Sections → https://t.co/bFOrpIgWIW
Animation → https://t.co/VfRAI7e5Ch
Mobile Apps → https://t.co/gxq43FqLG3
Brands → https://t.co/Q38cExyN5c
Icons → https://t.co/RyMj2EzdSM
Design Systems → https://t.co/s4MyCFjQSD

[Yasir Ai @AiwithYasir]

🚨Breaking: Someone open sourced a knowledge graph engine for your codebase and it's terrifying how good it is.

It's called GitNexus. And it's not a documentation tool.

It's a full code intelligence layer that maps every dependency, call chain, and execution flow in your repo -- then plugs directly into Claude Code, Cursor, and Windsurf via MCP.

Here's what this thing does autonomously:

→ Indexes your entire codebase into a graph with Tree-sitter AST parsing
→ Maps every function call, import, class inheritance, and interface
→ Groups related code into functional clusters with cohesion scores
→ Traces execution flows from entry points through full call chains
→ Runs blast radius analysis before you change a single line
→ Detects which processes break when you touch a specific function
→ Renames symbols across 5+ files in one coordinated operation
→ Generates a full codebase wiki from the knowledge graph automatically

Here's the wildest part:

Your AI agent edits UserService.validate().

It doesn't know 47 functions depend on its return type.

Breaking changes ship.

GitNexus pre-computes the entire dependency structure at index time -- so when Claude Code asks "what depends on this?", it gets a complete answer in 1 query instead of 10.

Smaller models get full architectural clarity. Even GPT-4o-mini stops breaking call chains.

One command to set it up:
`npx gitnexus analyze`

That's it. MCP registers automatically. Claude Code hooks install themselves.

Your AI agent has been coding blind. This fixes that.

9.4K GitHub stars. 1.2K forks. Already trending.

100% Open Source.

(Link in the comments)