Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.
After weeks of development I have finally released in Early Access my new project, a vibe coding tool based on gpt-5-nano and integrated with GitHub.
It’s my first project with resoning models, and it surprised me a lot!
I’ve heard and read many bad things about nano models, especially in terms of reasoning capabilities and latency, although my personal experience with gpt-4.1-nano was astonishing (even with no reasoning). I wanted to give the model a chance, since i said to myself “Ok, it’s just a test!”.
Needless to say, I was amazed at how simple the SSE management was, and at how the model reasoning responded to the 25 tasks i used for testing. I need to point out that in test phase the average latency was around 47-54 seconds for a complete generation. More than gpt-4* models but with a way beter result.
This convinced me to release it in Easly Access, and it was a WoW!
In the first 24 hours, 15 developers had created an account and in 16 hours 4 of them has signed up for the paid plan.
I got 8 feedbacks in these 36 hours, all positive, and most of them praised the ease of work and the reasoning/generating side.
That’s when i asked myself: is this generalized negative opinion on gpt-5-nano just a sort of ‘negative hype’ or what?
I want to know your experiences if anyone has ever dealt with this model.
If anyone wants to give a chance to my new tool, early access gives 7 days free, then it expires.
Here is the full documentation.
