olievans

Will change that now! Thanks for the feedback!

Thanks!

It's coming! Thanks for the suggestion!

Thanks!

Thanks so much!

Thank you! Much appreciated!

Thanks for the feedback, planning to add this in!

could you give an example you can't find? Thanks!

The Criterion Collection is a boutique film distributor. They are famous for their Criterion Closet videos on youtube. This project was to recreate the experience 'virtually'.

Technical details:

Client-side only: Injects date parameters into Google search queries Zero user data collection, no external servers

Works with all Google search operators

Near-zero performance impact (modifies query pre-load)

I built this after noticing how AI-generated content was overwhelming Google results for programming queries. Instead of complex AI detection, it uses a simple heuristic: most AI spam appeared after 2023, so filtering by date effectively surfaces established technical content.

Example: "React component patterns" normally returns recent AI-generated tutorials. With pre-2023 filtering, you get original resources from React's early developers and community.

Currently closed source (considering business options) but feedback welcome.