Deepak Silaych

I used GitHub as a database. Yes, cursed sentence. But hear me out, I built a private personal vault for contacts, notes and passwords. One user. Behind auth. Tiny data. So instead of spinning up Postgres, I used: private repo JSON files GitHub Contents API It was weirdly perfect. more details: deepaksilaych.me/blog/github-as…

ai will change the gaming industry but still "got GTA Bangalore before GTA VI" 😂

@code_codeforge An MCP serve for your exposes your existing browser profile instead of creating new DevTools session deepaksilaych.me/projects/chrom…

Drop your project URL Let’s drive some traffic

@AvinashSingh_20 github.com/deepakSilaych

Share your GitHub profile, I’ll review it and drop feedback!

@Retarded_inc @samanya_kumar @aShubhamz Tax 🙂

@samanya_kumar @aShubhamz They can take away half of it. Still 20 lacs. Half a decades worth of 3.3 LPA

You get two job offers 1) 3.3 Lpa at TCS - great culture - free food - religious environment - great superiors - big company - WFH 2) 80 Lpa at Google - toxic culture - just a search engine - everyone has google - nobody speaks hindi - its WFO What will you chose?

@prince_twets If its an app: firebase Else: Supabase

Genuine question for the builders out there: Supabase or Firebase? I want to make the right decision before launching next week.

@aditiitwt Flash still exists? Hasn't everybody shifted to fastapi?

what's your go to backend framework..?

this is sad

@ick_real confidence without curiosity. knowing a lot matters less than knowing you don't know everything

what is the biggest sign of low intelligence?

@Harish_521 respect the progression - started with wants, now you're buying what actually matters. that's the shift

Almost 1y since i started earning good And i have already bought An invertor for home (We never had one) A microwave for mum (We never had one) A new washing machine for mum A new phone for sister Took responsibility for electricity and cyclinder bill For myself A new monitor (180hz) A bike 400cc( 8 days to go for delivery ) All while staying at home This is why you work anon work for your family and keep winning Thank you javascript

@kirat_tw lol

nvm

@Alain_Ncls @cgtwts learn tech

@cgtwts What if you’re in marketing?

If you’re a dev, learn marketing If you’re a dev, learn marketing If you’re a dev, learn marketing

@manojdotdev "Spent 2 hours debugging a React re-render infinite loop caused by missing dependency array" - nothing hits harder. The cognitive load of mental model matching between Vue 3 Composition API and React Hooks is insane

Make a vibecoder cry in 3 words

@AmanSharma_554 Confluence of dataflow from Confluent + Atlassian's microservices orchestration is chef's kiss. The systems thinking required to interview at these FAANG-+ companies demands deep OSI layer understanding

The capital allocation across AI infrastructure ($1.7B), American Dynamism, and biotech is fascinating. The portfolio's emphasis on fundamental tech enables portfolio companies to pursue lower velocity but high-impact innovations. Curious about your thesis on moat-building in commodity cloud services.

If you're building something offensively ambitious, now would be a good time to call us!

@aShubhamz This is a great breakdown! The distinction between S+ tier research firms and A tier product companies is spot on. Have you considered adding a tier for emerging AI companies?

Tech Companies Tier List : 1) S+ tier (basically mythic status) •Renaissance Technologies - Medallion Fund •NSA, pure research side •OpenAI (core research / superalignment types) •SpaceX (Starship + propulsion specifically) •TGS •Anthropic (interpretability people) •DeepMind - AlphaFold / geometry-heavy work •NVIDIA architecture (Blackwell / Rubin era) 2) S tier (elite, but slightly less legendary) •NSA CNODP •Anduril •Hudson River Trading •Apple — Silicon Engineering Group •Tesla (Autopilot / AI core) •Neuralink •Five Rings •Headlands •xAI •Meta (FAIR) •Tenstorrent •Oxide •AMD RTG (ROCm / compiler / low-level stack) •Radix •Citadel Securities (actual algo teams, not generic roles) •Jane Street •PDT Partners •Etched •Cerebras •Groq •Valve (R&D / Proton / low-level systems) •Discord (voice + infra) •Waymo (Perception Team) 3) A tier (excellent engineering cultures) •Linear •The Browser Company (Arc) •Zed Industries •Notion (core product teams) •Figma (WebGL / C++ side) •Vercel (Next.js core) •Stripe (infra / systems) •Databricks (MosaicML) •Snowflake (engine teams) •Shield AI •Ghost •Signal •Telegram (core team) •Hugging Face •Mistral •Perplexity •Midjourney •Netflix (core engineering) •Uber (platform) •Airbnb (design systems) •DoorDash (logistics / algorithms) •Coinbase (protocol) •Kraken •Monad •Paradigm •Flashbots •Framework •Teenage Engineering •Panic •System76 •Palo Alto Networks (Unit 42) •CrowdStrike (Overwatch / intel) •Mandiant •Trail of Bits •Waymo •Zoox 4) B tier (strong, but more conventional) •Google (Search / Core / Ads) •Meta (FB / Instagram product teams) •Apple Services / iCloud •Amazon AWS •Microsoft Azure •Microsoft Office / Teams •LinkedIn •Palantir (SWE) •TikTok / ByteDance •Roblox •Epic •Unity •Pinterest •Snap •Spotify •Shopify •Atlassian •Salesforce •Adobe •Intuit •Block / Square •Cash App •Ripple •Chainlink •Circle •Affirm •Robinhood •SoFi •Nubank •Revolut •Booking •Adyen •Klarna •Canva •GitLab •GitHub (MS-owned, still decent) •Red Hat •Canonical •SUSE •HashiCorp •Confluent •MongoDB •Elastic •Redis •Grafana •Datadog 5) C tier (big, slow, or mixed signal) •Intel •IBM •Oracle (OCI) •Cisco •Dell •HP •Samsung •Sony •Qualcomm •Broadcom •TI •Micron •Western Digital •Seagate •Garmin •GoDaddy •TripAdvisor •Yelp •Zillow •Redfin •Wayfair •Chewy •Peloton •Roku •Zoom •DocuSign •Dropbox •Box •Twilio •Okta •Workday •ServiceNow •SAP •Siemens •Bosch •GE •Honeywell •John Deere •Lockheed •RTX •Northrop •Boeing •GM (Cruise) •Ford •Rivian •Lucid •Polestar •Palantir (FDE) 6) D tier (mostly tech-as-a-cost-center) •JPMorgan (tech) •Goldman (tech) •Morgan Stanley (tech) •Citi •Bank of America •Capital One •AmEx •Visa •Mastercard •PayPal •eBay •Walmart Labs •Target •Home Depot •Best Buy •Nike (tech org) •Starbucks (tech) •Disney streaming •Comcast •AT&T •Verizon •T-Mobile •UnitedHealth •CVS •Epic Systems •Cerner 7) F tier (body shops / consulting mills) •Accenture •Deloitte •PwC •EY •KPMG •McKinsey (QuantumBlack) •BCG X •Infosys •TCS •Wipro •HCL •Cognizant •Capgemini •Revature

@_vmlops I'd say not practicing with real-world datasets and getting too caught up in theory without implementation. Building projects while learning makes a huge difference!

What’s one mistake freshers make while learning Machine learning....?

@bcardarella @AnthropicAI Interesting move! The pricing landscape for AI tools is definitely shifting. Have you tried comparing the token limits and speed across different models?

Just canceled my @AnthropicAI Pro Max plan. I can get Opus 4.5 through Antigravity for less money... for now.

@Pseudo_Sid26 Kinda true (till college) because: 1. Half of them will end up in quant, never using dev skills. 2. The rest, who become SDEs or founders, will learn more in one year than the average dev learns in five years.

Most of the IIT CS guys know nothing about dev and depend only on dsa. Is this true folks ?? Genuinely asking ( please exclude exceptions , I am talking about the mass )