We recently made Lovable apps server-side rendered, which means better default discoverability from search engines like Google and AI answer engines like ChatGPT and Perplexity.
That meant rebuilding Lovable's foundations on @tan_stack Start.
Why TanStack? It's maintained by an established team with a strong ecosystem, stays in the React world, is open and independent, deploys anywhere, and its end-to-end type safety gives our AI clearer guardrails when it generates code.
Read more here: https://t.co/fsGt5WXAT0
Codex was missing a text editor that feels native, so I built one.
It’s pretty simple, but it lets you call your agentic skills while writing notes, or ask Codex to correct your writing. For me, it has been pretty useful to connect this with my knowledge base.
One of my favorite use cases is to just speak blog entries out loud, then correct narrative issues with my reviewer skills.
This is the bigger pattern I’m testing: local apps that feel native to Codex.
“It is very easy for people to get sucked into the swamp in Washington. Maybe this is not what they were looking for when they ran for office, but immediately you were treated like you were something special. Red carpets are rolled out, special access, VIP treatment, fancy parties, people kissing your ass every freaking day.”
@TulsiGabbard
Trained a new model with Codex.
> 13.5M tokens burned using Codex 5.5 high
> Goal achieved in 8 hours 17 minutes (overnight)
> Only costed 5% weekly credits
I did not click 1 button, after I setup the google drive and new colab notebook.
It used computer use chrome extension to click, run cells, analyze errors, edit & rerun cells, complete full training workflow end-to-end.
Codex is built different.