Dash for macOS Reviews

1. Stan

   · Founder at SaaSHub · over 5 years ago
   One of my favourite productivity tools as a software developer

   Once you get use to it, you won't be able to imagine your life without Dash. It will save you a bit of time every day. Many times.

   As a bonus you can use the "snippets" feature as a generic text-expander. That saves me tons of time when writing emails, too.

   p.s. aText is not exactly a direct competitor; however, I replaced it through the snippets feature of Dash.

   🏁 Competitors: aText

Replicate.com Reviews

Dash for macOS mentions (94)

• Focused Work, Distraction-Free Coding

  Dash for MacOS (proprietary, paid) has the documentation for over 200 APIs and over 100 cheat sheets, and the ability to generate documentation for packages for Swift, Python, Ruby, PHP, Java, Go, Rust, Scala, Dart, Haskell, Hex, Clojure. - Source: dev.to / 3 months ago

• Local-First Documentation: What It Is and Why Your AI Agent Needs It

  This isn't a new idea for developer tools. DevDocs, Zeal, and Dash have offered offline documentation browsing for years. What's new is applying this architecture to AI agents — giving your coding assistant the same offline, instant, version-accurate access to docs that you'd want for yourself. - Source: dev.to / 6 months ago

• The IDEs we had 30 years ago ... and we lost

  "the IDE had to be discoverable right away (which it was) and self-contained to offer you a complete development experience" This right here was the key to super flow state. Lightning fast help (F1), very terse and straightforward manuals. I have tried to replicate this with things like Dash (https://kapeli.com/dash), to some degree of success. The closest thing I had to this in windows was probably Visual Studio... - Source: Hacker News / 10 months ago

• Show HN: Self-updating MCP server for official pip, uv, poetry and conda docs

  You're absolutely right about the root cause being outdated AI knowledge bases/training data. I agree, my solution doesn't address that directly. Where this actually shines is with local LLMs (Ollama, etc) - smaller models, no API costs, fully offline, and the AI gets fresh docs without waiting months for model retraining cycles. Your point about convincing major providers to integrate something like Dash... - Source: Hacker News / about 1 year ago

• Man pages are great, man readers are the problem

  Https://kapeli.com/dash for MacOS supports man pages just like any of its many other documentation sources. Just prefix the search query with `man:`. Absolute hall of fame app IMO. - Source: Hacker News / over 1 year ago

Replicate.com mentions (8)

• Replicate vs deAPI: Price Comparison for AI Inference (2026)

  You're building an app that generates images, transcribes audio, or synthesizes speech. Two API platforms keep showing up in your research: Replicate and deAPI. They run many of the same open-source models and charge per use. - Source: dev.to / 2 months ago

• The AI stack every developer will depend on in 2026

  Replicate: Provides APIs for integrating diverse hosted models into shared pipelines. - Source: dev.to / 3 months ago

• Running AI models with Replicate and Encore

  Running AI models in production typically requires managing complex infrastructure, GPUs, and scaling challenges. Replicate simplifies this by providing a cloud API to run thousands of AI models without managing any infrastructure. - Source: dev.to / 8 months ago

• Effective Prompting for Generative Vision Models

  Before diving into how vision prompting works, let’s first look at where we can put it to the test. In this case, we’ll be using several endpoints available on Replicate, which we’ve optimized with Pruna to make them cheaper, faster, and more efficient. All of Pruna’s models are available here. - Source: dev.to / 9 months ago

• The Real AI Startup Stack: $33M Valuations, $1.2K OpenAI Bills

  Take Perplexity they didn’t just call the OpenAI API; they built a full-stack retrieval engine with caching, ranking, and live search inference. Or Replicate, which gives developers an API to run open-source models at scale, no data center required. RunPod makes GPU clusters accessible for indie builders, and Mistral is shipping models that make even GPT-4 blink twice. - Source: dev.to / 9 months ago