Robert Kottelin

Imagine: just a couple years ago we wrote code by hand… and called it a productive day 😅 Vibes below

Working on a forestry data acquisition and analysis software, powered by ESA Sentinel-2 satellite imagery. Timber & carbon value estimation, optimal estimated harvest date, disease identification, more. Need test users. Let me know if you are interested

@emil44hr Is it ok if I steal this for future use 🤣

@johnrushx This guy 🤣

This guy keeps predicting the future

CPI, because higher oil costs elevate energy and transportation expenses, which in turn drive up the prices of many goods and services across the economy

@cgtwts --dangerously-skip-permissions

average claude code experience

@bluewmist You will too my friend 💪🏼❤️

dear algorithm, please show this tweet only to people who are going to win by the end of the year no matter what

@litteralyme0 -intense sweats

Benefits of caffeinemaxing: -life is beautiful -resting heart rate 6112bpm -you feel alive -work seems bareable (unusual) -increased concentration -ability to see sounds -confidence boost

@archibaldxiv I feel there is something I should remember...

we came here to forget so that we could remember again

@yacineMTB I'm a data engineer, a horse with no underwear

i need radio engineers, aerospace engineers, electrical engineers, machine learning researchers. ideally all four at the same time. how the FUCK do i do that? that's like trying to find a unicorn with diamond underwear and a golden horn

@nikitabier Please dont! The everything app needs you

I’m retiring.

Keräsin kaikki Nasdaq Helsingin insidertransaktiot reaaliaikaiseksi dashboardiksi. Netto sisäpiirivirta viimeiset 30 päivää: -223 270 637 €. Johtajat myyvät.

I did this while having a baby on my chest, thanks @AnthropicAI

Weekend project: Aggregated all insider transactions from Nasdaq Helsinki into a real-time dashboard. Net insider flow last 30 days: -€223,270,637. Executives are selling. A lot.

@mfranz_on Dear X algo, show me more articles like this

@forestmanjohn Do you ship ti Finland?

3 months ago, I quit my job to chase a dream: to build an affordable, convenient, plastic-free coffee maker. Grateful for everyone who has reserved ❤️ puresteelco.com

@ethanrkho @andrewcourt1 Best pod I've listened to this year for sure 💥 please keep similar niched technical pods coming!

Inside the mind of an ex-SIG quant trader who can't turn off the EV brain - even for his kid's school choice Andrew Courtney (@andrewcourt1) ran the International ETFs Trading Desk at Susquehanna International Group for ~15 years before leaving in 2023. He now runs Kalshionomics (@Kalshinomics), a prediction markets analytics tool, and writes the Whirligig Bear, one of the sharpest prediction markets Substacks out there. "I think of everything as a bet. I kind of don't understand how you talk to normal people — they do not do that." SIG trains their junior traders with poker, spending 2hrs/day turning over cards after every hand, justifying every decision quantitatively AND qualitatively. 15 years later, Andrew views prediction markets the same way: read who's on the other side, size accordingly, fold when the whale comes back at you 10x. We cover: - Why SIG pays junior traders to play poker for 2hrs/day — & what happens after every single hand - The "one eye on the market, always" attention tax that destroys most people's careers - How to find edge in prediction markets by asking: who am I actually trading against? - Why meme-heavy, overhyped markets (Taylor Swift at the Super Bowl) might be the juiciest trades - The insider trading debate in prediction markets — & why it's "socially corrosive" - Floor trading vs. upstairs quant: why the transition saved his career - 40 connections after ~15 years at one of the world's best firms — the hidden cost of prop trading - Why he doesn't have collision insurance on his car (& the EV math behind it) Thank you so much @andrewcourt1 for coming on the pod! Timestamps: 00:00 Intro 05:00 Floor trading vs. electronic trading 06:28 What makes an upstairs trader 10:16 Poker as trader training 13:00 Thinking in bets as a mental framework 15:11 Decision trees in real life 16:40 Where prediction markets actually have edge 19:00 Why the LLM forecasting layer falls short 19:40 Liquidity incentives and trading low-volume markets 22:00 Limiting downside even when the model is wrong 24:32 Executing in illiquid markets 25:44 Fair value vs. directional conviction 27:11 Bayesian updating when liquidity responds 28:40 Fading hype and crowded narratives 31:07 Longshot bias vs. fanbase bias 34:20 How to judge whether you really have edge 36:40 Building analytics tools for prediction markets 38:20 The temporary edge for smart amateurs 40:35 Where prediction markets fit best 41:20 Markets that shouldn’t exist 43:20 Why insider trading corrodes incentives 46:52 Are prediction markets a net good or bad 50:47 Minimizing degeneracy and maximizing signal 53:32 A simple EV mindset anyone can use

@thequeenofmm Hello!

@sahill_og Nice computer 💻

X is cool. but it’s 100x better when your timeline is full with people who code and build things. if you’re into tech, AI, startups, product, design, development or programming. say hi and let's connect

@rushicrypto Inspirational money and lifestyle themed reels with luxury cars, polo, and yachts on ig are my brainrot

Maturing is realizing X and YouTube are the only apps that actually improve your life. YouTube makes you smarter. X connects you with people ahead of you. Everything else just eats your time.