codesearch.ai VS Hacker News API

https://codesearch.ai/

- Brave (recently started its own index but often falls back on Google's)

Love to see projects like Marginalia and now this. These projects also make meta search engines like Searx[0] that much more powerful.

Anyways since I'm in the business of listing out relevant projects, other code-centered search engines you might wanna check out are searchcode.com[1], codesearch.ai[2], symbolhound[3], and publicwww.com[4] (some of these are often down, but might still be good to learn from)

[0] https://searx.tuxcloud.net/

[1] https://searchcode.com/

[2] https://codesearch.ai/

[3] http://symbolhound.com/

[4] https://publicwww.com/

Hey, I'm Rok, a software engineer at Sourcegraph, and I've been working on an experimental AI-powered code search engine called codesearch.ai as a side project. It answers natural language queries with functions indexed from GitHub.com and StackOverflow.

It's not a pure CoPilot alternative, but I'd put https://codesearch.ai into the mix (disclaimer, it's my side project).

It is a semantic code search tool that can be queried using natural language. It provides decent answers to a variety of questions, and I've been finding myself using it quite often to "autocomplete" various mundane tasks. For example, plotting with matplotlib, making http requests in Go, running multiple goroutines, etc. - things where I would usually reach for Google. It doesn't provide a straightforward ready-to-run answer like CoPilot, but it does provide a way to help yourself. It all depends on what you prefer and how you learn. Arguably, having to read the code before you use it makes it more likely it will stick in your brain.

Great read, thanks for sharing. Would love to see the natural language + code mixed in there :)

I've been interested in contrastive learning for a while, mainly as a means to train semantic code search models. OpenAI released a great paper on this topic called Text and Code Embeddings by Contrastive Pre-Training[1] that outlines the approach. I've used it as a base to build https://codesearch.ai [2] with pretty good results.

[1] https://arxiv.org/pdf/2201.10005.pdf

It looks like the UI for https://codesearch.ai/ was developed in [some combination of Go and React javascript](https://github.com/sourcegraph/codesearch.ai/tree/main/codesearch-ai-data/cmd/web)?

I built a plugin that allows Coze bots to make requests to the Hacker News API.

I recognise the huge amounts of effort involved in this and I applaud the moderators for keeping HN an interesting place to be.

That said, I think it's reasonable for us to have visibility on their manual interventions, and this could be easily surfaced via the Hacker News API (https://github.com/HackerNews/API), if the Story JSON included the values of "contro," "bury," and "gag" fields, which are currently opaque to users of the API

See https://medium.com/hacking-and-gonzo/how-hacker-news-ranking... for more discussion on terminology

Google probably stopped updating BigQuery when they started hosting live Hacker News data in Firebase: https://github.com/HackerNews/API

The live nature of the Firebase data is awesome, but the lack of ability to query is a loss.

Nice work! I did something similar with a personal project a few months ago using an open source llm. Also, not sure if you know, there is an api you can use. https://github.com/HackerNews/API

Hi HN, I made a live feed for viewing all of the new items on Hacker News in almost-realtime. It is a single, modern HTML file that doesn't use polling.

It works by establishing a websocket connection to the Hacker News Firebase database, to receive updates every time the HN server updates Firebase, which is about once every 30 seconds. This is very efficient, putting no load on HN's server and using minimal bandwidth.

To make the feed continuous despite the delay, it waits to display each item until exactly 30 seconds before displaying it. I think this is a fair tradeoff, it gives you a sense of how active HN is. For comparision, there are something like 6-7 thousand tweets every second.

Official HN Firebase API: https://github.com/HackerNews/API

Source code: https://github.com/jerbear2008/hn-live/blob/main/index.html

You could use the API: https://github.com/HackerNews/API

You can now get Hacker News data in real time from the Hacker News API powered by Firebase: https://github.com/HackerNews/API

This is great (real time!), but also kind of a pain (38+ millions individual http requests to get the whole thing).

Thankfully there's no authentication or apparent rate limiting. I fumbled my way through downloading the whole thing with curl. I screwed up a few times so made over 70 million requests in total.

Toy analysis of the data I downloaded here: https://public.tableau.com/app/profile/isna/viz/HackerNewsDa...

Get your submissions from this API

https://hacker-news.firebaseio.com/v0/user/ohjeez.json?print...

and then scan the "submitted" articles as described here

https://github.com/HackerNews/API

I have a crawler that sucks down all the posts from HN and then I read it into Pandas and write all sorts of queries. The boggle I have now is that I want to use the same system to (1) make sure YOShInOn never submits duplicate articles, and (2) have accurate vote and comment scores. (1) requires picking up articles as soon as possible, (2) requires waiting two weeks or so until the scores have settled down to what they are going to be. I guess I gotta come back and rescan things in 2 weeks so I have the right scores.