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The evergreen playbook: where to find competitions, how each platform works, and how to win.
The world's most prestigious AI/AGI competition. ARC-AGI tests whether AI can reason the way humans do on abstract visual tasks. Winning requires genuine AI break…
These are the operational tips that separate experienced competitors from beginners. The difference between knowing the algorithm and being able to run it fast at…
A hedge fund that runs on crowd-sourced ML models. Every week, thousands of data scientists submit predictions on obfuscated financial data. Numerai uses the best…
Every ML competition platform — Kaggle, Zindi, DrivenData, Numerai, ARC Prize, Topcoder and more.
The world's #1 open-source developer incentive and hackathon platform. Covers: AI, Web3, Quantum Computing, Space-Tech. Not just hackathons — also grants, bountie…
Every hackathon platform — general, Web3 and AI-native — and which to pick for your goal.
Citadel is one of the world's most prestigious hedge funds. Their competitions are invite-based or application-based and directly feed into internship/full-time p…
A Python-based algorithmic trading competition by IMC Trading (one of the world's top HFT firms). You build trading bots that compete in a simulated virtual marke…
Jane Street is the world's most elite quantitative trading firm. They don't run traditional "competitions" — instead they run selective programs that function as…
COMAP MCM, Optiver, Two Sigma, Erdős and other quant programs worth entering.
Quant competitions blend ML, statistics, and finance. They are among the highest-prestige competitions in tech — winning one can open doors to roles paying $200K–…
Deep research on P3 strategies, IQC fitness, Jane Street ETC, Citadel, and ML-vs-math approaches.
This guide covers every operator, data type, alpha pattern, and portfolio strategy needed to dominate the IQC. Based on documented winner strategies, finalist int…
The world's largest quant competition. Run by WorldQuant (top-tier hedge fund). You build "alphas" — predictive signals for equity markets — using their BRAIN pla…
Vision backbones, augmentation, NLP fine-tuning, AWP and LoRA — the DL techniques that win modern competitions.
Feature engineering is the single highest-leverage skill in tabular ML competitions. This guide covers every major technique used in winning solutions.
This guide covers the three areas that separate top-10% from top-1% in finance-focused ML competitions: transformer architectures for time series, NLP signal extr…
Structure your pitch:
Jane Street, Optiver, and Two Sigma are the most prestigious finance-themed Kaggle competitions. Winning or placing highly in these is a top-tier signal for quant…
TabPFN is a pre-trained transformer that does in-context learning on tabular data. No training required — it's inference-only.
Most competitors focus on technique. The best competitors focus on the system — how they learn faster, experiment more, and build advantages before the competitio…
Copy-paste baseline: LightGBM + StratifiedKFold CV pipeline to get on the board fast.
In ML, top conferences are MORE prestigious than most journals. These are peer-reviewed and the highest career signal.
Understanding the tier system is critical. In ML, conferences outrank most journals — this is unique to computer science. A NeurIPS paper carries more weight than…
Each year NeurIPS hosts 10–20 official competitions alongside the conference. These are career-defining — winning a NeurIPS competition = top-tier research creden…
Dev events are not competitions, but they are WHERE careers get built:
In-person events are where careers actually happen — face-to-face networking is 10x more effective than online. Prioritize attending at least 1–2 per year.
Local events are underrated. Less competition for attention, easier to have real conversations, and the people you meet in-person remember you far longer than a L…
All events below have free virtual access. Prioritize these — zero cost, maximum learning.
Building in public is sharing your work-in-progress openly — your competition results, project progress, failures, lessons, and wins — before they're polished. It…
Most people attend events, talk to no one meaningful, and go home. Here's how to do it differently.
These two profiles are your resume, portfolio, and signal to recruiters — all in one. Kaggle and competition platforms are your 3rd profile.
In ML and tech competitions, the people you know matter as much as what you know:
These are where the real-time ML conversation happens. Daily presence here builds your network passively.
Most ML engineers ignore TikTok. That's the opportunity.
You are building something most online educators cannot fake:
Everything you need to establish yourself as a trusted forex, crypto, and trading educator in the African market and beyond.
The goal: hold funded accounts at multiple prop firms simultaneously, post every certificate and every payout, and build undeniable public proof of trading skill…
Passing a prop firm challenge is the fastest way to get an institutional-grade, shareable credential. It costs $155–$1,080. The "FTMO Funded Trader" designation i…
These are SEPARATE from prop firm challenges. Free to enter. Public leaderboards. Pure marketing gold.
Every competition win or high placement is a marketing credential. This guide covers every major competition you can enter to build verifiable, public proof of tr…