Same... maybe you need a Bluesky account, which I don't have.

It's working fine for me on Firefox

You may need to allow scripts from the domain avibagla.com, it shows 0 when the scripts are blocked.

For me it took a minute to start loading data and switch from just showing 0.

> slowly moving towards

Depends what we accept as norm.

GeologySky will get to it soon enough.

I checked out the author's other projects and this is common issue. For example, he has a "lean checker" for bluesky that claims it is right-leaning simply because of all the people saying "That's right," "He was right," etc. None of the supposed right-leaning posts were actually conservative in nature. They just used to word right to mean correct.

Maybe I'm being naive, but with only ~275k words to check against, this doesn't seem like a particularly hard problem. Ingest post, split by words, check each word via some db, hashmap, etc... and update metadata.

Probably just a big hashtable mapping word -> the number of times it's been seen, and another hashset of all the words it hasn't seen. When a post comes in you hash all the words in it and look them up in the hashtable, increment it, and if the old value was 0 remove it from the hash set.

250k words at a generous 100 bytes per word is only 25MB of memory...

You can probably fit all words under 10-15MB of memory, but memory optimisations are not even needed for 250k words...

Trie data structures are memory-efficient for storing such dictionaries (2-4x better than hashmaps). Although not as fast as hashmaps for retrieving items. You can hash the top 1k of the most common words and check the rest using a trie.

The most CPU-intensive task here is text tokenizing, but there are a ton of optimized options developed by orgs that work on LLMs.

I very much hope that the backend uses one of the bluesky jetstream endpoints. When you only subscribe to new posts, it provides a stream of around 20mbit/s last time I checked, while the firehose was ~200mbit/s.

Hey! this is my site - it's not all that complex, i'm just using a sqlite db with two tables - one for stats, the other for all the words that's just word | count | first use | last use | post.

I... did not expect this to be so popular

I've found content for all of my future skeets.