Seems like the merging with Replit didn't work so well :p

He might already have enough money, so doesn't care if he gets the absolute best resources.

What about the security aspects, can it run anything?

I assume by “it” you mean Claude code or codex-cli — that depends on how you launched them or how you modified the permissions within the CLI chat; that’s orthogonal to my CLI tools.

This seems awesome, will try.

Unfortunate naming given I named my repo which does open source locally running speech to text vibevoice 7 months ago:

https://github.com/mpaepper/vibevoice

That's why we all code with voice now, because it's faster, right? Right?

Yeah, Cloudflare is a good idea, that should probably help block them before even getting to the site.

I mean I run a SaaS and get many fake registered users / bots.

What I did for now is:

- Added a honeypot field (invisible to users, but bots might fill it) -> if it's filled, instant reject - Added a check for spammy domains -> if it's from such a domain, instant reject

Honeypots may be skipped by bots. My simple solution to this is to create an input/text field in the account creation form, add a placeholder text "I am human" and ask the user to enter what they see (i.e., placeholder text). I've never received any fake/spam account since I incorporated this technique.

This is smart. Are there scenarios you've noticed that it doesn't work?

I've just added it :D

But I would guess that there will be new domains that I don't have in my blocklist and then I need to add them again and I would like to have this as a crowdsourced effort.

Are languages other than English also supported? Or is this for English only?

From their FAQ:

> We currently only support English and its dialects British, American, Canadian, and Australian. Other languages are on the horizon, but we want our English support to be truly amazing before we diversify.

Nope... It IS using a vector database / faiss embedings for the semantic search.

Check the indexer: https://github.com/Olow304/memvid/blob/main/memvid/index.py

Indeed, they use FAISS for vector search, and the actual innovation is to store PDFs in a MP4 file. I think they should compare this to just compressing PDFs using ZIP, 7z, or RAR to see if it actually makes things better.