DeepWiki
product on 4 shows · 11 statements across 1 episodes · said 35 times in 9 episodes since 2025
Latent Space 32 
the Y Combinator Startup Podcast 1 
Cheeky Pint 1 
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- DeepWiki: The GitHub Encyclopedia
- Context Engineering for Agents - Lance Martin, LangChain
- 🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- A Cheeky Pint with Cognition CEO Scott Wu
- I Tested EVERY Hyped AI Tool - I ONLY Kept Using These
- Andrej Karpathy: Software Is Changing (Again) · Y Combinator
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11 statements about DeepWiki, every show
Silas Alberti: DeepWiki began as a free open-source side project
“I mean, it was supposed to be this like open source focus, like free site project almost, but it became bigger than expected.”
Silas Alberti: DeepWiki pairs AI codebase documentation with a research agent
“And I think it has like two components. It has the wiki itself, which is basically like AI generated Got documentation for any code base on GitHub, and then there's, like, the deep research agent that leverages both this, like, wiki, but also, like, any code f…”
Silas Alberti: DeepWiki scaled infrastructure for tens of thousands of developers
“I think the particular thing that we had to make happen for DeepWiki was, like, scaling up the infra so we could support, like, tens of thousands of open source developers at the same time. And I think also just, like, Making it be, there's like no sign up req…”
Alberti: DeepWiki compute spend may break $1M soon
“So we think we should be now at like the high, like tens of thousands of repos. So I guess you can like do the rough map. Like we might be approaching quite significant numbers of compute spend here. I mean maybe we'll like break the million soon.”
Alberti: 80% to 90% of DeepWiki users view pre-indexed popular repos
“So I would say, like, 80%, 90% of users just, like, check out one of the popular repos.”
Alberti: Folder structure graphs are poor representations of codebase architecture
“There are some, the simplest one is a folder structure graph, but unfortunately, it's, like, actually a pretty bad one because people sometimes just, you know, like, put all the components in this folder and all the servers in this folder.”
Alberti: DeepWiki experienced spikes of 2,000 indexing jobs queued
“Sometimes it's like random spikes. I don't know how they happen. Like 2000 indexing drops in the queue. Suddenly it was like the other day.”
Alberti: Over 1,000 GitHub projects added DeepWiki badges to their repositories
“There was more than a thousand projects already had The like deep wiki batch, which I thought was like super awesome to see like way more than I expected.”
Alberti: DeepWiki auto-updates documentation for free repositories displaying its badge
“So we just decided, okay, how about we just detect whether you have the wiki batch and then we'll keep it updated for you.”
Alberti: Small numbers of manually curated evals beat large eval sets
“I think usually like small numbers of very high quality evals are the way to go and like we curate them manually and make sure they're really good.”
Alberti: Wiki pages are a better abstraction than pure RAG for codebase search
“If you just do like pure, like rack on like such a big base code files, it'll just be like pretty bad at a certain point, you know, on a single code base. Sure. I can see it, but Tens of thousands of code bases. It's tougher. But I think actually the wiki page…”