u/TargetSpecialist6737

For algo trading in India, does broker UI matter if the API and WebSocket are stable?

Random question for people here running API setups.

Most broker debates in indian trading circles still focus on the app. clean charts, fast UI, option chain layout, order window, etc.

But if 90 to 95% of your trades are placed by a Python bot, does the UI actually matter that much?

I run a small Nifty weekly options bot from a Mumbai VPS. basic setup is Python script, WebSocket ticks, delta checks every few seconds, and around 18 to 25 orders on active days including hedges and adjustments.

i only open the broker UI in three cases:

  • checking margin behaviour after a new position
  • monitoring positions during volatile moves
  • emergency kill switch if the algo misbehaves

This hit me during a late night debugging session last week. my bot stopped reconnecting properly to a WebSocket stream after a VPS restart, so i ended up testing the same script across Zerodha Kite Connect, DhanHQ, and Nubra while isolating the issue.

What surprised me was that UI quality had very little connection with how the automation actually behaved.

One expiry day example: my strategy triggers when the combined position delta crosses around ±9. signal fired at 10:47:12, but order ack came roughly 350ms later on one API. by the time the hedge filled, option price had moved around 0.8 points.

Not catastrophic on one trade, but it adds up when the bot is doing 20+ adjustments.

Another setup had a pretty average-looking UI, but the WebSocket stream stayed alive for hours with no reconnect loop and no missing ticks. That mattered way more to the bot than whether the option chain looked polished.
While debugging i realised i was spending more time inside API docs than inside the broker terminal. Zerodha and Dhan are obviously more widely used, but Nubra felt more API-first in the way it presents docs, WebSocket flow, and options data.

Not saying UI is useless. if things go wrong, you still need a clean position screen to flatten quickly. but for actual automated trading, i’m starting to feel the broker app matters way less than the API layer.

So, for people running actual algo trades in India, how do you evaluate brokers?

Do you still care about UI polish, or is it mostly:

  • stable WebSocket
  • predictable order acknowledgements
  • rate limits
  • margin behaviour
  • clean API docs
  • emergency manual control

Curious how others think about this once most of the trading happens through code.

reddit.com
u/TargetSpecialist6737 — 11 days ago

We screened ~120 backend candidates, people who aced coding test couldn’t debug basic API issues, so we tried different approach

We recently had around 140 applicants for a backend role and something strange happened during shortlisting. The candidates who absolutely crushed the coding test were not the same people who could debug a simple real issue.

Our first pass was a pretty standard algorithm test similar to what you'd see on HackerRank. About 35 people scored very high. On paper it looked great. 

But when we brought a few of them into later interviews and gave them a small debugging exercise, several got stuck on things like tracing logs or navigating a multi‑file service.

One candidate literally spent 15 minutes rewriting a function when the problem was a bad environment variable. Another didn't check logs at all and kept guessing. It was weird because these were the same people who solved graph problems in 10 minutes.

So we tried a different approach. Instead of another coding challenge round we gave candidates a real 40 minute task: fix a broken API endpoint inside a small service with logs, a DB connection, prod-environment, starter code, and a few files. 

We ran it using Utkrusht because it already has cloned prod environments.

The ranking flipped completely. Some of the "average" coding test candidates suddenly looked much stronger. They searched the codebase first, tailed logs, tested assumptions, even used ChatGPT to sanity check things. 

The recordings were actually interesting to watch. I spent most of Sunday afternoon reviewing them with terrible coffee because our hiring pipeline had stalled. The biggest signal wasn't the final fix. It was how people approached the problem. who read logs first. who tried to reproduce the bug. who jumped straight into rewriting code.

Have other teams here also seen this mismatch. Are algorithm/coding tests still predicting anything useful for real tech work, or are more companies moving toward tasks that look like actual debugging?

u/TargetSpecialist6737 — 11 days ago

RiFFS hot take: maybe sweet mists need an anchor, not 12 sprays

hot take: a deeper Arabian-style EDP might be a better base for sweet body mists than just spraying more mist.  

Tiny closet-cleanout-before-brunch test: one floral/amber/oud-leaning EDP spray, waited 10 min, then a vanilla/rose mist over it. Mist alone was cute for the opening but faded fast; layered was less sugary at first, still sweet at 2 hours, and my cardigan had a warmer rose-amber dry-down. EDPs are generally more concentrated than mists, which explains the “base” effect  

My takeaway: for Bath & Body Works or Kayali-style vanilla/rose layering, use 1 EDP spray max in warm weather, then 2 mist sprays. Rose oils/attars also work, but oud can get brunch-heavy fast. What notes do you use to anchor lighter mists without making them too loud?

reddit.com
u/TargetSpecialist6737 — 12 days ago

What would make a $500 brain stim device earn a spot in your stack?

Ok so I'm genuinely trying to figure this out before I spend the money.

My situation is pretty simple. I work a screen heavy desk job. 8 to 10 hours of calls, docs, slack, emails, the whole thing. By 6pm I am COOKED. Not sleepy. Not tired exactly. Just..... fried. Like my brain used up everything it had and there's nothing left for the rest of my life. I can't make decisions. I can't cook dinner. I can't have a real conversation with my girlfriend without zoning out. I just sit there scrolling or ordering takeout because choosing what to eat feels like too much. Every single night.

I've got the passive tracking stuff down. Oura for HRV and sleep. The data is clear, my stress is elevated and my recovery is trash. But KNOWING that hasn't changed anything. I have 14 months of data confirming I'm burnt out every evening. Cool.

Tried the low hanging fruit. Brain.fm for focus music. NSDR on youtube. Breathwork apps. Caffeine cutoff at 1pm. All of it helps a LITTLE but nothing has touched the evening crash. That's the thing I actually want to fix.

So now I'm looking at active neuromodulation. Specifically tDCS. The research on prefrontal cortex stimulation for stress regulation and cognitive fatigue is interesting.... 1-2 mA, 20 min sessions, been studied for decades. DIY kits like NeuroMyst or Caputron are cheaper but honestly I don't trust myself with electrode placement and saline prep every morning. The one I keep coming back to is Mave headset because it's preset placement, no subscription, and specifically positioned around stress and focus. Not depression not clinical stuff. Just..... daily brain maintenance I guess.

My plan if I buy it: 2 weeks baseline tracking what I already do. 4 weeks of daily use. 1 week washout where I stop completely. If things don't regress during washout then it was probably just placebo or me being more careful with sleep and caffeine that month.

What I'd actually be measuring: Can I cook dinner without feeling like a zombie. Am I ordering less takeout. Does my girlfriend stop asking me "are you ok" every night. Oura HRV and sleep latency as a safety check.

My threshold: if the evening crash doesn't meaningfully improve after 4 weeks I'm returning it. I don't care how cool the tech is. Does it actually help me have a life after 6pm or not.

What would YOUR threshold be before adding something like this to your stack? Published data? Transparent protocols? Or just "did it actually make my evenings better"

u/TargetSpecialist6737 — 14 days ago

I don't see it mentioned here much but DealSeek has been the most useful thing I've added to my phone for saving money on Amazon. Every code is verified and timestamped so you're not wasting time on dead codes like every other coupon site. Free, no sign up, and it actually works.

Not sure why it doesn't get more hype but if you shop on Amazon regularly just try it once.

reddit.com
u/TargetSpecialist6737 — 16 days ago

Sharing this week's numbers because buildinpublic means the real data not just the highlights.

Apr 25 to May 1. 746 visitors. $2,380.81 in revenue. $3.19 revenue per visitor. 3.43% conversion rate. 1 minute 34 second session time.

The revenue per visitor being $3.19 is the number I keep coming back to. It means the traffic is doing its job. People are landing on the right pages for the right reasons and converting at a rate that makes the organic channel genuinely valuable even at this traffic volume.

Here is what's behind those numbers.

The content approach has been the biggest driver. For a long time I was producing content the standard SEO way, keyword research, long posts, broad targeting. That content pulled in traffic that looked fine and converted poorly. The shift I made through EarlySEO was moving to a format built entirely around decision-stage intent. Every article answers one specific question that someone asks when they are close to buying. The answer comes first. Everything else supports it. No filler. That change in format did two things. It raised session time because readers get value immediately and stay to read more. And it raised conversion rate because the people finding the content are further along in their thinking than the people who found the old content.

https://preview.redd.it/n3qkwukqpjyg1.png?width=1319&format=png&auto=webp&s=b245f8312821581cf2656bd65ea2c255aff03af2

reddit.com
u/TargetSpecialist6737 — 22 days ago

Spicy cardamom and pepper opening, settles into that classic woody sweet LNDH DNA with tonka and a hint of geranium. Feels like the older stronger batches of La Nuit before the reformulations ruined it.

Performance is genuinely impressive - 4 hours in, washed hands twice, still getting whiffs. Projection is strong for the first 2 hours then becomes a close but noticeable skin scent.

Only real downside is the sprayer being a bit inconsistent - throws uneven mist sometimes. Minor complaint though.

Best for evenings, date nights, AC settings. Not a summer daytime scent.

Scent: 9/10 | Longevity: 9/10 | Value: 10/10

If you like LNDH and don't want to pay for the watered down reformulation — this is the answer.

u/TargetSpecialist6737 — 23 days ago