basebrain (@basebrainhq) 's Twitter Profile
basebrain

@basebrainhq

Save everything you discover online, your notes, bookmarks, articles, and never lose them again. No folders, no tags, no organization required.

ID: 1900650281118957568

linkhttp://basebrain.ai calendar_today14-03-2025 20:48:47

2 Tweet

187 Followers

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boris tane (@boristane) 's Twitter Profile Photo

I tried every bookmark manager, I even built one a few years ago they all suck. it's just chaos my hope is to build something different wit basebrain - save with one click, find with natural language no manual folders, no manual tags, just chat with your memories

I tried every bookmark manager, I even built one a few years ago

they all suck. it's just chaos

my hope is to build something different wit <a href="/basebrainhq/">basebrain</a> - save with one click, find with natural language

no manual folders, no manual tags, just chat with your memories
boris tane (@boristane) 's Twitter Profile Photo

I keep reading that durable objects are hard let's change that narrative here's how I'm building basebrain entirely on Cloudflare Developers I create a new database for every user using durable objects and everything is working with Drizzle ORM boristane.com/blog/durable-o…

I keep reading that durable objects are hard

let's change that narrative

here's how I'm building <a href="/basebrainhq/">basebrain</a> entirely on <a href="/CloudflareDev/">Cloudflare Developers</a> 

I create a new database for every user using durable objects

and everything is working with <a href="/DrizzleORM/">Drizzle ORM</a> 

boristane.com/blog/durable-o…
boris tane (@boristane) 's Twitter Profile Photo

I just published a new blog post contextual rag on Cloudflare Developers using workers ai, vectorized, and d1 it explains everything you need from hybrid search to rerankers and reciprocal rank fusion, with clear code implementation you can copy / paste this and build a saas around

I just published a new blog post

contextual rag  on <a href="/CloudflareDev/">Cloudflare Developers</a> using workers ai, vectorized, and d1

it explains everything you need from hybrid search to rerankers and reciprocal rank fusion, with clear code implementation

you can copy / paste this and build a saas around