Why I’m building a "Museum" for 1MB tools in a 1GB world
Title: Why I’m building a "Museum" for 1MB tools in a 1GB world
Body:
The modern web is suffering from "Digital Obesity."
We’ve reached a point where a simple "Hello World" app requires a 500MB Docker image and consumes 200MB of RAM. As a student developer, I found myself increasingly frustrated with this bloat. I missed the era where tools were fast, focused, and followed the Unix philosophy: Do one thing, and do it well.
So, I decided to build The Cloud Rain.
It’s not just a directory. It’s a curated "Article Museum" where I document hidden-gem open-source tools that are written in C, Go, or Rust—tools that solve massive problems with almost zero overhead.
What I’m showcasing in the Museum:
Iodine: Bypassing firewalls via DNS tunneling (Pure engineering magic from 2004).
ZincSearch: A Go-based alternative to Elasticsearch that runs on a fraction of the RAM.
Fossil: An SCM that is a single SQLite file. No complexity, just pure efficiency.
The Mission: I’ve stripped away all ads and tracking from the platform. I want this to be a sanctuary for engineers who are tired of the hype and want to rediscover the beauty of "Lean Code."
I’m looking for two things from this community:
Feedback: Is the "Future-Minimalist" aesthetic of the site working, or is it too much?
Suggestions: What are your favorite "hidden gems"? I want to document tools that deserve more than just a GitHub star.
Check out the Museum: https://thecloudrain.site
Let’s stop building bloated software and start appreciating the art of efficiency again.
Subject: Quick question — how do you manage context across AI tools?
Hey,,
I'm researching a problem I'm facing myself: juggling multiple AI tools
(Claude, ChatGPT, Perplexity) for my startup and losing context every
time I switch between them I have to tell every ai every time.
Quick question: Do you find yourself copy-pasting context between different.??
AI tools during your workday? Or does each AI tool live in its own bubble?
Would love 10 minutes of your time if you're open to it. Not selling
anything — just trying to understand how other founders handle this.
Best,
[Kanishk Wankhede]
Hey Kanishk, thanks for checking out the post!
To answer your question: Yes, I face this 'Context Fragmentation' daily. Since I work with very specific minimalist tools (Go/Rust/C), I often have to feed the same documentation to Claude or ChatGPT to get accurate results. Each AI definitely lives in its own bubble right now.
I usually solve this by maintaining Markdown 'Context Files' that I quickly drop into whichever AI I'm using. It’s manual, but it keeps things lean.
Would love to hear if you’ve found a more 'minimalist' way to handle this without adding more bloat to the workflow! Also, any feedback on the Museum's UI?
Best, Dinesh