Warden – A Native (and Free) AI Chat App for macOS

Hacker News

Warden is a minimalist, simple and beautiful macOS AI chat app, that supports most AI providers: ChatGPT, Anthropic (Claude), xAI (Grok), Google Gemini, Perplexity, Groq, Local LLMs through Ollama, OpenRouter, and almost any OpenAI-compatible APIs. Completely Native app, built with SwiftUI Zero telemetry, no data collected from you, all your data remains on your Mac and can be easily exported into an easy-to-read JSON file Lightweight app, compared to Electron based alternatives Supports these LLM APIs: Openrouter OpenAI Anthropic (Claude) xAI (Grok) Groq Perplexity Ollama Deepseek It should also support most other OpenAI compatible APIs https://karatsidhu.gumroad.com/l/warden

Visit product View on Hacker NewsMay 29, 2025

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Actual performance

2points

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Did not reach leaderboard

Launch Intel predictions

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

98%98% 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: supports, gemini, compatible · Missing: reddit linkedin, podcasting, created

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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