hey, thanks for the feedback.

hey! thanks for the feedback. Only for web right now - mobile is on the roadmap.

As for privacy, I get where the concerns are coming from. But as somebody who has used session recording before - it is such a helpful tool to understand how your customers are using your product and struggling.

Also, all the data you get from a session recording - is data you already have (or could easily get).

As for the culture - I completely agree with you. This is why companies like Linear stand out (https://linear.app/now/zero-bugs-policy). One of my beliefs for starting Opslane is that we can get more companies to understand the bugs that matter and help improve the papercuts in their product.

hey! thanks for the feedback. Only for web right now - mobile is on the roadmap.

We are recording sessions using rrweb (https://github.com/rrweb-io/rrweb)

As for privacy, I get where the concerns are coming from. But as somebody who has used session recording before - it is such a helpful tool to understand how your customers are using your product and struggling.

Also, all the data you get from a session recording - is data you already have (or could easily get).

Thanks for the comment! I did come across posthog and it's a good validation that it is an important problem to solve!

Since opslane watches all user session recordings, we know which screens and actions are more important. We use this to prioritize issues.

Really, you have never heard of shareware or trial periods?

Either that or it was sarcasm. What do you think more likely?

A person writing without thinking.

Came to a similar conclusion after running a bunch of tests on the new tokenizer

It was on the higher end of Anthropics range - closer to 30-40% more tokens

https://www.claudecodecamp.com/p/i-measured-claude-4-7-s-new...

yeah thats the part that is unclear to me as well - if our usage capacity is now going to run out faster.

The same thing I've been doing all the time, now has used up 1/3rd of my week in one day on max20.

So yes, for the same tasks, usage runs out faster (currently)

im running some experiments on this but based on what i have seen on my own personal data - I dont think this is true

"given that Opus 4.7 on Low thinking is strictly better than Opus 4.6 on Medium, etc., etc.”

Opus 4.7 in general is more expensive for similar usage. Now we can argue that is provides better performance all else being equal but I haven’t been able to see that

effort level is separate from tokenization. Tokenization impacts you the same regardless.

I find 5 thinking levels to be super confusing - I dont really get why they went from 3 -> 5

i think the new qwen models are supposed to be good based on some the articles that i read