08:18 Reviews & Comparisons8 months ago OpenClaw vs PicoClaw vs NullClaw vs ZeroClaw vs NanoBot vs TinyClaw — The Comparison Fahd Mirza delivers a structured comparison of seven tools in the rapidly expanding OpenClaw family: OpenClaw, ZeroClaw, PicoClaw, Ir... 0 comments 18K views
09:28 Tutorials8 months ago KittenTTS: The 25MB AI Model That Speaks: Local CPU Setup Guide KittenTTS v0.8 introduces a trio of ultra-lightweight text-to-speech models — nano (25MB, 14M parameters), micro (40M parameters), an... 0 comments 14.4K views
22:11 Coding & Builds8 months ago How To Actually Use Claude Code for Trading Strategies (Like a Quant) DROP: Demonstrates a genuine HMM-based regime detection build using Claude Code with specific parameters (7 regimes, signal hysteresi... 0 comments 158.4K views
11:55 Coding & Builds8 months ago Buying Yesterday’s Biggest Stock Move (Does It Work?) Algovibes walks through a complete Python project that systematically tests one of the most common retail trading instincts: buying y... 0 comments 1.5K views
01:44:10 Interviews8 months ago The programming language after Kotlin – with the creator of Kotlin Andrey Breslav, the creator of Kotlin, joins The Pragmatic Engineer to discuss how one of the world's most widely used programming la... 0 comments 195.1K views
08:51 News & Opinion8 months ago Its Official: AI Makes You Worse At Stuff Nick Saraev breaks down a landmark Anthropic study examining what happens to coding skill when developers use AI assistance. The stud... 0 comments 9.2K views
22:36 Tutorials9 months ago One Prompt Every AGENTIC Codebase Should Have IndyDevDan introduces a practical system for using Claude Code's setup hook — a feature not shown in the official hooks lifecycle dia... 0 comments 19.9K views
03:19 Tutorials9 months ago Backtests Too Slow? Fix Your Data Layer with Parquet + DuckDB Algorithmic traders and quantitative researchers often find that the bottleneck in their workflow isn't strategy logic—it's the time... 0 comments 1.5K views
04:28 Tutorials9 months ago Wikipedia Ticker Code Broken? Here’s the Fix (Python) A widely-used Python one-liner for fetching S&P 500 ticker symbols from Wikipedia broke across many environments in early 2026, flood... 0 comments 659 views
16:49 Case Studies9 months ago Why Kalshi Bettors Lose (72 Million Trades Analyzed) Part Time Larry breaks down a peer-reviewed analysis of 72 million Kalshi prediction market trades, written by Coinbase engineer Jona... 0 comments 148.7K views