고정된 트윗
Ritesh Roushan
7.4K posts

Ritesh Roushan
@devXritesh
Building prod-grade backend systems at scale 🇮🇳 • System Design • Microservices • AI Infra • Real prod lessons | Founder: The 1% Engineers
172.16.0.1 가입일 Şubat 2018
769 팔로잉1.2K 팔로워

@0xlelouch_ Throughput is limited by partition parallelism.
Adding consumers beyond partition count doesn’t help.
Also check processing latency per message could be the real bottleneck.
English

@SumitM_X I’d rebase.
Keeps history clean and avoids a messy merge commit.
But only if the branch isn’t shared otherwise, merge to avoid rewriting history.
English

@thekevinqi DS using trie + edge cache for faster lookups and result serving
English

@Itstheanurag Totally agree!
Diversifying from field experts > one creator grind. Unemployed dev wisdom hits different .
English

See i believe if you want to learn something learn from the experts in that field.
Learning about databases from ezsnippet would be stupid if Hussain nasser and arpit bhayani exist.
Learning DSA from code with Harry would be stupid if kunal's videos exists.
Learning rust from technical thapa would be stupid if let's get rusty exists.
The point is stop working one guy, everyone on YouTube has something they are best known for.
By not following them all you are hindering your progress. You are learning things from the top layer only but never from the core of it.
Thanks for this matter, an unemployed dev and not the president of United States.
English

30 tech companies with massive workforce + strong engineer pay..
- Amazon — 1,576,000 employees — SWE avg pay: ~$190k–$230k .
- IBM — ~270,000 employees — SWE avg pay: ~$150k–$190k.
- Microsoft — 228,000 employees — SWE avg pay: ~$220k–$250k .
- Accenture — ~210,000 tech total company is far bigger — SWE avg pay: ~$120k–$170k.
- Alphabet (Google) — 190,820 employees — SWE avg pay: ~$250k–$340k .
- Apple — 166,000 employees — SWE avg pay: ~$230k–$280k.
- Oracle — 162,000 employees — SWE avg pay: ~$180k–$230k.
- Cisco — ~90,000 employees — SWE avg pay: ~$190k–$230k.
- Salesforce — 76,453 employees — SWE avg pay: ~$210k–$260k .
- Lenovo — 72,000 employees — SWE avg pay: ~$120k–$170k .
- HP — 55,000 employees — SWE avg pay: ~$140k–$180k.
- Intel — ~124,800 employees — SWE avg pay: ~$180k–$230k.
- Dell — ~97,000 employees — SWE avg pay: ~$140k–$180k .
- SAP — 109,973 employees — SWE avg pay: ~$160k–$210k .
- Meta — ~74,000 employees — SWE avg pay: ~$280k–$380k .
- Adobe — 31,360 employees — SWE avg pay: ~$210k–$260k .
- NVIDIA — ~36,000 employees — SWE avg pay: ~$240k–$320k.
-Uber — ~31,000 employees — SWE avg pay: ~$220k–$300k.
LinkedIn — ~18,000 employees — SWE avg pay: ~$316k.
- Intuit — 18,200 employees — SWE avg pay: ~$210k–$260k .
- Airbnb — ~7,300 employees — SWE avg pay: ~$250k–$330k.
- Atlassian — ~14,400 after recent layoffs — SWE avg pay: ~$180k–$240k .
- ServiceNow — ~26,000 employees — SWE avg pay: ~$210k–$270k.
- Workday — ~20,400 employees — SWE avg pay: ~$190k–$240k.
- PayPal — ~27,000 employees — SWE avg pay: ~$170k–$220k.
- Shopify — ~8,100 employees — SWE avg pay: ~$170k–$230k .
- Expedia — 16,000 employees — SWE avg pay: ~$160k–$210k .
- Block — ~12,000 employees —
SWE avg pay: ~$200k–$270k.
- Pinterest — ~4,200 employees — SWE avg pay: ~$220k–$300k.
- Dropbox — ~2,300 employees — SWE avg pay: ~$210k–$280k.
English

@Inosukeei_coder In searching Trie ruling, I have also used in my work.
English

@0xPrajwal_ I have prepared yesterday and yeah it's coincidence 😅
English

@DINESHVERM578 Glad you liked buddy, more such stuff coming soon
English

@0xPrajwal_ Using DS and caching to serve data faster. Trie + Edge Cache.
English

Claude after realizing OpenClaw has been dominating
Thariq@trq212
We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.
English

@nia_thinks Vibe coding changes game, just need faster development and deployment.
English

@ravikiran_dev7 It's best and simple way. Early founder don't need bigger team
English

@thekevinqi Congrats on the redesign launch and getting to that inflection point, Kevin!
Love seeing the persistence pay off after the rough early days.
English

We've burned $75K of our money building this. 🔥
For a long time, it looked like a terrible idea.
Now we’re finally close to an inflection point.
My name is Kevin Qi, and this is the story of Festa:
In early 2024, my cofounder asked me what I wanted to do with the rest of my 20s.
I had a great career at Amazon, but deep down I knew I had always wanted to build something of my own.
I started coding as a kid just to build things, launched websites that got real users, and even tried starting a company at 17.
It failed. But that was the point.
So we started meeting weekly, throwing around ideas.
Factory Automation. ERP AI. Hardware.
Eventually we landed on something crazy:
What if AI could coordinate live events in real time?
I built the first version during nights and weekends.
We tested it at our own event in SF.
It worked. More importantly, people instantly “got it.”
That was enough conviction for me.
I quit Amazon.
Then reality hit:
• YC rejection
• failed marketing
• $2K in ads → 0 customers
• first wedding sale: $130
We even fumbled a $1K+ deal after messing up pricing.
But we kept going.
We rebuilt the product and shifted entirely to content + UGC.
Over the last 6 months:
• hundreds of videos tested
• figured out what actually converts
• acquisition cost now down to ~$7
• and finally approaching potential repeatable profitability
Which brings us to today.
We just launched the biggest redesign of Festa yet and for the first time, anyone can try it instantly as a guest to a "fake investor and startup conference event”.
English

@joncphillips Haha, classic startup energy nothing like finding a mystery content library right after you think everything's deployed and safe.
"This is fine" dog vibes on point.
How big was this hidden library?
English

@TreeApostle The autocomplete magic? Precomputed tries + heavy edge caching, ranked by popularity, trends, and your own history.
Near-zero latency engineering at planetary scale.
What's the wildest autocomplete suggestion you've ever seen pop up?
English

@devXritesh Precomputation and edge caching using a trie
its near zero latency. a trie helps with prefix matching but ranking what shows up uses popularity, trending and your search history
English











