publishDate | author | title | excerpt | image | category | tags | |
---|---|---|---|---|---|---|---|
2024-08-12 08:45:00 UTC |
skeptrune (Nick K) |
History of HackerNews Search: From 2007 to 2024 |
The history of HackerNews (HN) search spans three generations. Starting in 2007 with Disqus founder Jason Yan followed by a series of other sites, Octopart/ThriftDB-powered HNSearch in 2011, and finally Algolia-powered search from 2014 to today. |
History |
|
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// use the below command to run the script and get the output txt file | |
// npm install -g bun - if you don't have bun installed | |
// bun run transcript-demo.ts | |
const transcript = [ | |
"Where 0 = Kirill Kulakov, 1 = Yoav, 2 = skeptrune", | |
"0: Appreciate it.", | |
"1: Yeah, welcome.", | |
"1: So yeah.", | |
"1: So Nick, you know, I'd love to dive a little bit deeper.", |
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const fs = require('fs'); | |
const childProcess = require('child_process'); | |
const GITHUB_ACCESS_TOKEN = process.env.GITHUB_ACCESS_TOKEN; | |
const inputDirectory = './docs'; | |
const outputDirectory = './htmldocs'; | |
fs.readdirSync(inputDirectory).filter(file => file.endsWith('.md')).forEach(file => { |
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pub async fn timeout_safe_convert_html_to_text(html: &str) -> String { | |
match tokio::time::timeout(std::time::Duration::from_secs(1), async { | |
convert_html_to_text(html) | |
}) | |
.await | |
{ | |
Ok(text) => text, | |
Err(_e) => { | |
log::error!("Error converting this html to text in 1s: {:?}", html); | |
sentry::capture_message( |
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docker build -t actix-frontend -f ./actix-frontend/Dockerfile.actix-frontend . |
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curl -fsSL https://get.docker.com -o get-docker.sh | |
sudo sh get-docker.sh |
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redis = { version = "0.25", features = [ | |
"tokio-rustls-comp", | |
"aio", | |
"connection-manager", | |
] } | |
actix-extensible-rate-limit = { version = "0.3.1", features = ["redis"] } |
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foo.bar.com { | |
root * /home/git_projects/trieve-hn-discovery/frontend/dist | |
try_files {path} {path}/ /index.html | |
file_server | |
} |
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// TODO: latency optimize this so it can be uncommented | |
if phrases.is_empty() { | |
let potential_query_split_whitespace = potential_query.split_whitespace().collect_vec(); | |
if potential_query_split_whitespace.len() > 5 { | |
continue; | |
} | |
let query_without_stop_words = potential_query | |
.split_whitespace() | |
.filter(|word| !stop_words.contains(&word.to_lowercase())) | |
.collect::<Vec<&str>>(); |
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I need to upload image in comment |
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