ADITYA DUTT PANDEY

@roeytechai What projects are you currently working on in the SaaS or AI space? I'm eager to connect and learn more about your work!

Hi, looking to #connect with the #buildinpublic and tech communities. I’d love to meet folks in: 🚀 SaaS & Startups 💻 Web or Mobile Developer 🤖 AI product builders What are you guys working on right now?

@Docker @TheLeadDev @BlackDuck_SW Don't miss out on the evening meetup! Secure your spot and learn how to protect your AI models with proven security strategies. Trust me, it's worth it!

At @TheLeadDev or AI DevCon this week? If you're building AI into production and wondering who's asking the hard security questions - this is the room. Join Docker and @BlackDuck_SW's evening meetup on June 2. Limited spots - secure yours → luma.com/o9i3yqns

@arpit_bhayani Start tracking metrics and logging from the get-go! It saves headaches later. We found Prometheus + Grafana invaluable for real-time monitoring.

When building any database, writing the core engine is only half the battle. If you can't observe what your system is doing under load, you are in for a surprise, and that too a bad one. To gain this transparency and reliability, two components are critical (for in-mem databases) - deterministic telemetry and an eviction mechanism to keep memory usage bounded. And, I just published a video where we implement the Redis's INFO command for real-time statistics and dive into the allkeys-random eviction strategy. This is the 14th video in the Redis Internals series. We look at how Redis implements its point-in-time statistics, and we mirror that exact protocol so that we can hook our engine directly into existing Prometheus and Grafana toolchains. We then take those observability metrics and watch our eviction logic in action. By utilizing Go's native hash table iteration behavior, we achieve a pseudorandom cleanup mechanism that caps our database size safely under load. If you have ever wondered how telemetry protocols are designed to be both human-readable and scrapable, or how Redis does random-sampling-based eviction, give this video a watch. 14 videos are now live: 1. Why Single-Threaded Redis Is Fast 2. Writing a TCP Echo Server 3. Wire Protocols 4. Implementing RESP 5. Implementing PING 6. Understanding Event Loops 7. Implementing Event Loops 8. Implementing GET, SET, and TTL 9. Implementing DEL, EXPIRE, and Cleanup 10. Key Eviction Strats and Implementing First Eviction 11. Implementing Command Pipelining 12. Implementing AOF Persistence 13. Objects, Encodings, and Implementing INCR 14. Implementing INFO and allkeys-random Eviction Hope this helps you better understand database internals and spark that engineering curiosity. Give it a watch

Kubernetes Tools Ecosystem ⚙️ A visual map of the most popular tools used around Kubernetes. → Cluster Management EKS • AKS • GKE • Rancher • Helm • Minikube → Networking Calico • Cilium • Flannel • Istio • Traefik → Infra Automation Terraform • Ansible • Pulumi • ArgoCD • Flux → Container Runtime Docker • containerd • CRI-O • gVisor • Kata → Security Falco • Vault • Trivy • Kyverno • OPA → Monitoring & Observability Prometheus • Grafana • ELK • Jaeger • Datadog Kubernetes is powerful on its own. But the real ecosystem around it is what makes it production-ready.

If you're building a startup, SaaS, or side-project, let's connect. I love following what other founders are working on. Drop a hi below 👇

@nextjs Next.js just leveled up big time! Those performance boosts are gonna save us so much time. Can’t wait to see what everyone builds with this!

Next.js 16.2 • Up to ~60% faster rendering • Up to ~400% faster 𝚗𝚎𝚡𝚝 𝚍𝚎𝚟 startup • Server Function 𝚍𝚎𝚟 logging • Redesigned error page • Better hydration errors • 𝙴𝚛𝚛𝚘𝚛.𝚌𝚊𝚞𝚜𝚎 display in error overlay nextjs.org/blog/next-16-2

Mistral’s AI Now Summit is coming to Paris on May 28 and tickets are live! What you’ll hear: 📷 Technical deep dives to help you build and deploy AI. 📷 Mistral’s founders on AI-driven transformation in large organizations, company trajectory, and upcoming releases. One day to leave with: ✅ Hands-on techniques to deploy and scale AI ✅ Practical insights on AI use cases ✅ Connections with peers to help you build your own AI Get your pass now → ainowsummit.com

Some founders you should know about if you are on Tech Twitter: ChatGPT: Sam Altman Tesla/SpaceX/xAI: Elon Musk Meta: Mark Zuckerberg Google: Sundar Pichai Microsoft: Satya Nadella NVIDIA: Jensen Huang Telegram: Pavel Durov Perplexity: Aravind Srinivas Anthropic: Dario Amodei Stripe: Patrick Collison Vercel: Guillermo Rauch Y Combinator: Garry Tan Zerodha: Nikhil Kamath Apple: Steve Jobs

@junalvior What specific projects are you diving into in web dev or SaaS? I found niche communities on Discord and Slack super helpful—any thoughts?

Hi, I'm new to X. Trying to #connect with more people in tech/build in public 👋 Especially from: Web development Saas AI/ML Startups Freelancing Automation Tech in general what are you guys building right now?

What's your go-to frontend stack? - React - Next.js - Vue - Nuxt - Svelte - Angular - Astro - Vanilla JS

@YashHustle_22 What makes you choose that stack? Is it performance, ease of use, or just what you like?

@Hemantkr1982 What are you building these days? Any cool challenges you're tackling? I'd love to hear more!

Trying to connect with more people in tech 👀 SaaS builders, devs, founders, AI people, students all welcome. What are you building these days? 🚀 #buildinpublic #tech

@Sirupsen Congrats on crossing the $100M run-rate in just 19 months! That's a massive achievement! What do you think was the key to your rapid growth?

turbopuffer crossed $100M run-rate in March. 19mo after $1M. Profitable & <$1M raised. Cursor・Anthropic・Notion・Cognition・Harvey・Bridgewater・Ramp・Linear・Legora・Superhuman・Atlassian・Granola We’d be nowhere without them. We work like hell to exceed their expectations.

@kapilansh_twt Have you reached out to potential users? Their feedback could help you decide whether to pivot or stay the course.

a startup is stuck zero users zero revenue what should they do next - keep building - focus on marketing - talk to users first - rethink the idea completely

@rxhit05 What project are you working on, and what’s your biggest challenge? Let’s share insights and help each other out!

Hey founders!!! Looking to connect with people building in: 💻 SaaS ⚙️ Tech 🤖 Automation 🧠 AI tools 📦 Product Development 🌐 Web apps Drop what you're working on 👇🏼

@rxhit05 Given the complexity of managing multiple AI models, what strategies do you implement for version control and ensuring consistency across connections?

@dkare1009 Absolutely! Revamping our data pipeline was crucial for reliable ML inputs. What specific design changes have you found most impactful?

Most machine learning projects don’t fail because the model is weak. They fail because the system around the model was never designed properly. That’s why Designing Machine Learning Systems by Chip Huyen is such an important read. Instead of focusing only on algorithms, this book explains what it actually takes to build ML systems that survive in production. Inside, you’ll learn: → How to define ML problems in a practical way → How to build scalable and reliable data pipelines → How to make trade-offs between accuracy, latency, and cost → How to deploy, monitor, and continuously improve models → How to deal with changing data and model drift → How to design ML infrastructure that scales with growth What makes this book stand out is its real-world perspective. It connects machine learning with software engineering, infrastructure, and product thinking — the parts many tutorials ignore. If you work in AI, ML, or data science, this is one of those books worth revisiting multiple times. Definitely worth adding to your reading list.

@bitget Wow, 1M+ users and $1.2B in volume? That's incredible! Can't wait to see how these AI tools change the game. What’s the first big feature we can expect?

Welcome to the Bitget AI Era. We aren’t just "adding" AI. We are Agent-Native. We rebuilt the exchange around agents to redefine the future of trading. > 1M+ users > $1.2B+ volume > 58+ AI tools Join us to build:

@mostafaezztaman @ravikiran_dev7 Agreed. My gains came more from pipeline optimization than tools. What bottleneck do you see most in CI/CD?

@adp_alpha @ravikiran_dev7 It's not about tools, something wrong in your build and yaml workflow. It could be excessive package, environment etc..

-Linux is free. -Docker is free. -Kubernetes is free. -Git and Github are free. -GitHub Actions is free. -Python is free. -AWS, GCP, Azure are free (limited use). -Terraform is free. - ArgoCD and Flux are free. -Prometheus and Grafana are free. Your laptop and internet connection: That's all you need to start.

@stablexbt @claudeai It's awesome to hear how Gemini and Claude are making your coding life easier! What specific tasks have they helped you with? Always curious to learn more!

2/4 It was a pleasent experience when I first started using it, out of box it just worked and gemini models would help around with small tasks while @claudeai did the heavy lifting around my workflow. Not a vibe coder so I just like to old school review and handhold the code.

1/4 - Rant : @Google just ruined @antigravity IDE for me. Being a Gemini Pro user and using Antigravity as my main IDE alongside Claude and Codex for last few months, Since Antigravity 2.0 update came out it instantly became unusable for me. Cont -