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AI is powerful. Snippets are instant.

AI is powerful. Snippets are instant.

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4 min read
Python Day Four : Simple and practical 🤔

Python Day Four : Simple and practical 🤔

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1 min read
Lessons Learned: Dealing With Instagram Rate Limits and Blocks (and Why I Switched to a Hosted API)

Lessons Learned: Dealing With Instagram Rate Limits and Blocks (and Why I Switched to a Hosted API)

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2 min read
Building an AI-Powered Short Video Automation Platform with Flask, React Native, and Playwright

Building an AI-Powered Short Video Automation Platform with Flask, React Native, and Playwright

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3 min read
I ran 20,000 Monte Carlo simulations to find the best position size. The 'average' result is a trap.

I ran 20,000 Monte Carlo simulations to find the best position size. The 'average' result is a trap.

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4 min read
I Scanned My PC for AI Agents — Found 457 of Them

I Scanned My PC for AI Agents — Found 457 of Them

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1 min read
Python Day Three : Focus & consistency

Python Day Three : Focus & consistency

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1 min read
A Realistic Faceless YouTube Shorts Workflow for Solo Founders

A Realistic Faceless YouTube Shorts Workflow for Solo Founders

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4 min read
Day 1 of 60 days of learning

Day 1 of 60 days of learning

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1 min read
What I Learned in Week 4 of Python — Files, Real Programs & My First Class

What I Learned in Week 4 of Python — Files, Real Programs & My First Class

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14 min read
Month 1: From Zero to Building Real Tools.

Month 1: From Zero to Building Real Tools.

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7 min read
Building a mistake taxonomy for dyscalculia — 8 error patterns, rule-based, no ML required

Building a mistake taxonomy for dyscalculia — 8 error patterns, rule-based, no ML required

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5 min read
Open-Source Signal-to-Action Pipeline Starter: Webhook Enrich Trigger Log

Open-Source Signal-to-Action Pipeline Starter: Webhook Enrich Trigger Log

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9 min read
From Bayesian to deep knowledge tracing — upgrading NumPath's student model with a PyTorch LSTM

From Bayesian to deep knowledge tracing — upgrading NumPath's student model with a PyTorch LSTM

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5 min read
Making LLM outputs auditable: the provider abstraction pattern

Making LLM outputs auditable: the provider abstraction pattern

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5 min read
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