Subth.ink – write something and see how many others wrote the same
Hey HN, this is a small Haskell learning project that I wanted to share. It's just a website where you can see how many people write the exact same text as you (thought it was a fun idea). It's built using Scotty, SQLite, Redis and Caddy. Currently it's running in a small DigitalOcean droplet (1 Gb RAM). Using Haskell for web development (specifically with Scotty) was slightly easier than I thought, but still a relatively hard task compared to other languages. One of my main friction points was Haskell's multiple string-like types: String, Text (& lazy), ByteString (& lazy), and each library…
In plain words
Subth.ink is a website where users can submit text and discover how many other people have written the exact same thing. Built as a Haskell learning project using Scotty, SQLite, Redis, and Caddy, it runs on a minimal DigitalOcean droplet. The creator shares that while Haskell web development proved somewhat more approachable than expected, it presented challenges compared to other languages, particularly around managing multiple string types and monad transformers.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN, this is a small Haskell learning project that I wanted to share. It's just a website where you can see how many people write the exact same text as you (thought it was a fun idea). It's built using Scotty, SQLite, Redis and Caddy. Currently it's running in a small DigitalOcean droplet (1 Gb RAM). Using Haskell for web development (specifically with Scotty) was slightly easier than I thought, but still a relatively hard task compared to other languages. One of my main friction points was Haskell's multiple string-like types: String, Text (& lazy), ByteString (& lazy), and each library choosing to consume a different one amongst these. There is also a soft requirement to learn monad transformers (e.g. to understand what liftIO is doing) which made the initial development more difficult.
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