Production-ready macOS dev environment setup with 10 preset configs

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I built a comprehensive environment setup tool that automatically configures a complete development environment on macOS. Features include AI tools (Ollama, LM Studio), modern terminals, complete dotfiles, and intelligent parallel processing. The tool has zero ShellCheck errors/warnings and is production-ready. It's particularly useful for new Mac setups, team onboarding, or anyone wanting a modern development environment without the manual configuration hassle. Key features: - 10 preset configurations (minimal to everything) - AI tools with local LLM support - Modern terminals (Warp, iTerm2, Alacritty, WezTerm, Kitty) - Complete dotfiles (Shell, Git, SSH, editors) - Zero ShellCheck errors - production quality code - Intelligent CPU detection and parallel processing Quick start: ```bash git clone https://github.com/davidsilvestrehenao-hub/env-setup.git cd env-setup ./setup-env.sh install --config configs/webdev.yaml ``` Available configs: minimal (~20 packages), webdev (~50), ai (~60), devops (~80), everything (113+ packages). GitHub: https://github.com/davidsilvestrehenao-hub/env-setup What do you think? Any features you'd like to see added?

Visit product View on Hacker NewsSep 28, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, new · Missing: agents, agent, cursor

80%80% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: llama, io · Missing: https docs, excited, just released

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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