u/reddit__is_fun

I am considering Fyers and Angel One for real-time market data. Both provide WebSocket APIs for subscribing to live prices, but I'd like to know the views of people who have actually used them.

How do they compare in terms of:

• Reliability and stability of the WebSocket feed
• Quality of API/technical support
• Ease of integration
• Subscription limits and how well they handle a large number of instruments

I am looking to stream data for 10,000+ instruments at a time, so the subscription limits and reliability at that scale are particularly important to me.

If there are other brokers that you think are better for market data feeds, do suggest.

Just curious, is there any difference in the quality of the same Nescafe Classic in sachet and glass jar packaging? The sachet version feels more powdery, while the one in the glass jar has larger granules. Is this due to the packaging, or is there a difference in the manufacturing process as well?

Just curious, is there any difference in the quality of the same Nescafe Classic in sachet and glass jar packaging? The sachet version feels more powdery, while the one in the glass jar has larger granules. Is this due to the packaging, or is there a difference in the manufacturing process as well?

That's why it's boring now. What you think?

This might sound a bit discriminatory, so take it as nothing more than a personal observation. In my college, I've been taught by both male and female professors, including both juniors and more senior faculty, and I've noticed this pattern among the female professors.

The professors who are conventionally less attractive have, been more rude, stern, or hyper-strict in their interactions with students. On the other hand, the relatively conventionally attractive professors have generally been calmer, more approachable, and more easygoing.

Obviously, this is based entirely on my personal experience and could just be just unknwon bias.

Has anyone else noticed something similar in their colleges?

Edit: I also read a theory : women who are considered attractive have generally received more positive social treatment throughout their lives, which may reinforce a more positive attitude in them. Conversely, women who received harsh or cold treatment might reflect same. So it's not totally their own fault.

Just observed Jeevansathi app removed the dedicated searched feature. It was a separate feature different from regular partner preferences, where we could search dynamically as per our criteria. Now there's just single preferences feed.

I am a backend engineer and use Claude to generate HLD/LLD design docs in Markdown for various requirements. I usually provide context about the requirements, intended design, constraints, etc.

The problem is that Claude produces extremely long documents, thousands of words, lots of sections, and details that aren’t necessarily useful or grounded in the actual requirements.

Any skills to make it produce concise, tightly scoped, easy-to-read language and grounded design docs instead of filling the document with unnecessary detail?

I want to reduce having to trim the output every time manually.