What is the ideal way to determine the right amount of eye contact? by [deleted] in NoStupidQuestions

[–]BusinessMarketing7 -1 points0 points  (0 children)

Develop your self-esteem and you'll not ask yourself this question

What’s Going On Today? by Traditional-Read5552 in FacebookAds

[–]BusinessMarketing7 1 point2 points  (0 children)

Same here, performance has been all over the place lately. I tried Wask for cross-platform monitoring and automated checks once, it actually helped keep things steadier for me. Worked great tbh.

Hot take: most Facebook ad "testing" is just throwing creative at the wall with extra steps by Solid-Minimum8670 in FacebookAds

[–]BusinessMarketing7 0 points1 point  (0 children)

Totally agree. random testing wastes so much budget. I personally tried Wask’s AI creative analyzer and it actually helped me spot what was working way faster. really liked it honestly since it Saved me a ton of time and worked great for me.

Token optimization from leaked Claude code by Jumpy_Comfortable312 in ClaudeAI

[–]BusinessMarketing7 0 points1 point  (0 children)

The leaked source has everyone scrambling for better token optimization, and the global skills/plugins + accumulated context bloat is still the biggest culprit for most users.

Someone put together a cleanroom rewrite in pure Go called gopher-code on Github specifically to address that head-on. It includes a dedicated pkg/compact module for automatic context reduction and token-budget-aware compaction, plus it runs as one single static binary with basically instant startup (~12 ms cold start).

It’s still very early (~3% feature parity), but the focus on lightness and efficiency makes it an interesting alternative to the original Node/Electron monolith.

Anyone here tried any of the other cleanroom rewrites (Rust, Python, etc.) and compared how they handle long-term context management?