News and ideas from our team

How Brian Chesky shaped Airbnb by designing for trust, tuning marketplace incentives, and building a brand that made home sharing feel safe and simple.

Learn Lamport’s key distributed-systems ideas—logical clocks, ordering, consensus, and correctness—and why they still guide modern infrastructure.

A clear look at how Silicon Valley startups operate, why speed is rewarded, what tradeoffs it creates, and the most common mistakes first-time founders make.

Learn how to plan, write, and design a website for an industry benchmark report: structure, data visuals, SEO, CTAs, and launch checklist.

Subscription skip pause and address changes can cut churn and support load when rules are clear, UI is predictable, and edge cases are handled upfront.

Learn how to plan, build, and launch a community job board website: core features, posting flows, moderation, SEO, and growth tactics.

Learn how to build an influencer website with a polished media kit: structure, must-have pages, proof assets, rate cards, SEO, and a contact flow brands love.

Learn common multi-tenant SaaS patterns, trade-offs for tenant isolation, and scaling strategies. See how AI-generated architectures speed design and reviews.

Explore how Google created the Transformer tech behind GPT yet allowed OpenAI to capture the generative AI spotlight, and what this means for innovators.

Learn how to build a web app to create, track, and update customer success plans: data model, workflows, dashboards, integrations, and security.

Learn how to design and build a web app that runs franchise operations across multiple brands: data model, roles, workflows, integrations, and reporting.

A realistic, step-by-step story of turning fast AI-built prototypes into a reliable product that customers pay for—covering scope, tech, pricing, and launch.

Explore Yann LeCun’s key ideas and milestones—from CNNs and LeNet to modern self-supervised learning—and why his work still shapes AI today.

Ecommerce MVP in 7 days: a day-by-day plan to ship a tiny store with catalog, checkout, real payments, basic admin, and safer releases.

Serverless databases shift startups from fixed capacity costs to pay-per-use billing. Learn how pricing works, hidden cost drivers, and how to forecast spend.

A practical look at how DoorDash scaled: last-mile logistics, merchant software, and density economics—plus the trade-offs that shaped the platform.

Learn how to design and build a mobile app centered on one daily action—MVP scope, UX, reminders, analytics, retention loops, and launch steps.

Learn how to plan, structure, and launch an industry glossary and learning hub website: taxonomy, CMS, search, SEO, workflows, and launch checks.

Learn how to plan, design, and build a web app for remote teams to track tasks, goals, and performance—features, data model, UX, and rollout tips.

A clear look at Joe Beda’s early Kubernetes choices—declarative APIs, control loops, Pods, Services, and labels—and how they shaped modern app platforms.

See how AI-generated code can reduce early framework lock-in by separating core logic, speeding experiments, and making later migrations simpler.

Learn how to build a web app to track experiments across products: data model, metrics, permissions, integrations, dashboards, and reliable reporting.

Explore Raymond Boyce’s role in early SQL and the practical design decisions—joins, grouping, nulls, and performance—that made it usable in organizations.

Learn how to plan, design, build, and launch a mobile app that helps new employees onboard faster with clear tasks, training, forms, and support.

AI app builder plan comparison for solo, team, and enterprise: a buyer checklist for collaboration, governance, portability, and deployment.

Referral credits system design for SaaS: track referrals, block abuse, and apply credits to subscriptions with clear rules and an auditable ledger.

Learn how Marissa Mayer product metrics thinking connects UX friction to outcomes, enforces A/B testing discipline, and keeps teams shipping fast without chaos.

Learn how Marvell’s data infrastructure silicon supports cloud networking, storage, and custom acceleration—powering faster, more efficient data centers behind the scenes.

Sales pipeline schema for B2B founders: the minimum fields, stages, and activity tracking to forecast clearly and keep deals moving without CRM bloat.

See how a single AI-generated codebase can power web apps, mobile apps, and APIs with shared logic, consistent data models, and safer releases.

A practical guide to creating a micro-learning mobile app with daily lessons: define your audience, design lesson formats, build an MVP, and improve with analytics.

Learn reliable webhook integrations with signing, idempotency keys, replay protection, and a fast debugging workflow for customer-reported failures.

Joel Spolsky software truths still help when AI can write code fast. Learn how to keep tests, hiring, and simplicity focused on correctness.

Databases often last decades while apps are rewritten. See why data endures, why migrations are costly, and how to design schemas that evolve safely.

Learn how to build a mobile app that captures quick personal metrics snapshots—MVP scope, UX, data model, privacy, sync, and launch checklist.

Compare JavaScript and TypeScript with clear examples: typing, tooling, speed, maintainability, and when each fits. Includes practical migration tips.

Y Combinator-style lessons on building momentum: start with a narrow, almost boring idea, win a tiny market, then expand with evidence—not hype.

Multi-tenant SaaS permissions explained with simple org, team, role, and ownership rules plus checklists and examples that scale safely.

A step-by-step guide to plan, design, and build a mobile app for daily planning and task prioritization—from MVP features to notifications, testing, and launch.

Refactoring prototypes into modules with a staged plan that keeps each change small, testable, and easy to roll back across routes, services, DB, and UI.

Learn how to plan, build, and launch a web app that finds internal knowledge gaps, assigns learning tasks, links docs, and tracks progress with clear reports.

Explore Sebastian Thrun’s journey from Stanford and self-driving cars to founding Udacity, and what his story teaches about building AI and teaching it.

Learn how to design and build a web app that maps product features to owners across teams, with roles, workflows, integrations, and reporting.

Explore what Python can do: automation, web apps, data analysis, AI, testing, and more. See practical examples and how to choose your next project.

Learn how to plan, design, and build a mobile app for digital queue tickets: user flows, backend basics, notifications, QR codes, and launch tips.

Learn how to design and build a web app to track internal SLA commitments: data model, workflows, timers, alerts, dashboards, and rollout tips.

Learn what web development includes, the roles of web developers, common tools and skills, and how a website is built from idea to launch.

A practical guide to what AI app builders can generate, where humans still decide, and how to scope, budget, and ship an app without hype.

Explore how AI-generated application logic can stay fast, readable, and simple—plus practical prompts, review checks, and patterns for maintainable code.

Learn how database indexes cut query time, when they help (and hurt), and practical steps to design, test, and maintain indexes for real apps.

A practical guide to turning AI prototypes into production systems: goals, data, evaluation, architecture, security, monitoring, and rollout steps.

Learn how to build a validation website that tests demand, messaging, and pricing before coding a SaaS—using waitlists, smoke tests, and analytics.

Server-side vs client-side filtering checklist to choose based on data size, latency, permissions, and caching, without UI leaks or lag.

Learn how AI reduces the cost of trying new ideas through quick prototypes, tests, and analysis—so you can learn fast without long-term commitments.

Accessibility prompts for React and Flutter UI reviews: copyable prompts and simple review steps for keyboard, focus order, labels, contrast, and screen readers.

Learn the cron + database pattern to run scheduled background jobs with retries, locking, and idempotency - without standing up a full queue system.

Learn how Pinterest’s visual search and intent-driven discovery shape ad targeting, creative, bidding, and measurement—different from social feeds.

Make AI-generated code reviewable by standardizing folders, naming, and written invariants so a human team can safely take over and ship changes.

A practical breakdown of where AI tools cut software cost, time, and friction—across planning, coding, testing, deployment, and support—with real-world workflows.

Compare Nuxt and Next for SEO, rendering options, performance, team skills, and hosting. Use this guide to choose the best fit for your web app.

Compare Node.js, Python, Java, Go, .NET, and Ruby for backend work. Learn trade-offs in performance, hiring, tooling, scaling, and long-term maintenance.

UPI-first checkout for Indian D2C: design a fast UPI intent flow, add smart card and netbanking fallback, and cut mobile drop-offs with clear UI.

Compare React 19 and Vue 3 across DX, performance, SSR, state, and tooling. Get practical guidance to pick the best framework for your next app.

A practical guide for non-engineers to ship real products by pairing with large language models: workflows, prompts, testing, and safe release habits.

Kotlin added safer syntax, better tooling, and Java interop, helping the JVM evolve and making Android apps faster to build and easier to maintain.

Public API design made practical for first-time SaaS builders: choose versioning, pagination, rate limits, docs, and a small SDK you can ship fast.

Modern AI tools cut the cost of building, marketing, and supporting products—lowering entry barriers while intensifying competition. Learn how to adapt.

Use a lightweight approval workflow to turn chat-made changes into safe releases with clear proposals, simple diff checks, and predictable deploy steps.

Elon Musk builds and funds AI while also urging caution. Review key moments, likely incentives, and what his mixed message means for AI policy.

Learn what SSR (server-side rendering) means for websites, how it works, and when to use it vs CSR or SSG for SEO, speed, and user experience.

Learn how to plan, build, and launch a playbook website that guides users from first login to power use with clear steps, assets, and metrics.

Reduce COD fraud and returns-to-origin with a cash on delivery confirmation flow using OTP, address checks, and WhatsApp confirmations without losing sales.

Learn how to plan, build, and launch a simple inventory management web app for small retail stores, from data model and features to testing and rollout.

Learn how device compatibility filters help electronics accessory stores model phone generations and build search that prevents wrong purchases at scale.

Learn what a vector database is, how embeddings enable similarity search, and when to choose pgvector, Pinecone, or Weaviate for AI search and RAG.

Learn how to design and build a mobile meal-planning app for multiple families with shared calendars, grocery lists, dietary rules, roles, and privacy controls.

Learn Claude Shannon’s core ideas—bits, entropy, and channel capacity—and how they power compression, error correction, reliable networks, and modern digital media.

A practical look at how Jay Chaudhry and Zscaler used cloud security, zero trust, and partner distribution to build a leading enterprise security company.

Compiled languages are returning to cloud backends thanks to faster startup, better efficiency, safer concurrency, and predictable costs. Learn when to use them.

Race conditions in CRUD apps can cause duplicate orders and wrong totals. Learn common collision points and fixes with constraints, locks, and UX guards.

Learn how to plan, write, and publish a startup transparency page: what to share, what to avoid, page structure, updates, and practical templates.

Learn how model capability, distribution, and developer ecosystems help OpenAI turn research into a platform layer that powers real products.

Learn how to design and build a web app that collects, tags, and tracks product feedback by feature area, from data model to workflows and reporting.

Learn how to design and build a web app that tracks internal automation coverage: metrics, data model, integrations, dashboard UX, and alerts.

See how AI turns rough notes into clear problem statements, user insights, prioritized features, and ready-to-build specs, roadmaps, and prototypes.

Learn how to design, build, and ship an AI-enabled app with an LLM chat: architecture, prompts, tools, RAG, safety, UX, testing, and costs.

High-signal onboarding forms use fewer questions to segment users and set smart defaults, so you personalize fast without hurting completion rates.

Learn what product–market fit really means, how to spot early signs through customer behavior, and why popular metrics can mislead founders.

Explore how Baidu balances search, maps, and AI spending while defaults, apps, and partnerships shape user access—and product power in China.

Learn how to design a web app that imports and exports CSV/Excel/JSON, validates data with clear errors, supports roles, audit logs, and reliable processing.

Explore Mark Zuckerberg’s push for open AI models at Meta: what “open” means, how releases scale, key risks, and what builders can do next.

Learn what a JWT (JSON Web Token) is, how its three parts work, where it’s used, and the key security tips to avoid common token mistakes.

Learn how to plan, design, and build a mobile time tracking app—from MVP features and UX to data, privacy, testing, and App Store/Google Play launch.

Compare REST and gRPC for real projects: performance, tooling, streaming, compatibility, and team fit. Use a simple checklist to choose confidently.

Explore Peter Thiel’s contrarian investing style and how it shaped early bets connected to AI, from thesis-first thinking to risks, criticism, and takeaways.

Learn how column-oriented databases store data by column, compress and scan efficiently, and speed up BI queries. Compare to row stores and choose wisely.

Learn how to plan, design, and build a mobile app that creates personalized learning paths using learner profiles, assessments, recommendations, and progress tracking.

Learn what security AI builders can and can’t promise, where blind spots hide, and the practical guardrails to ship safer AI-built applications.

Email verification vs phone verification: use this decision guide to balance fraud risk, signup conversion, support cost, and regional deliverability.

Learn why document databases fit rapidly changing data models: flexible schemas, easier iteration, natural JSON storage, and trade-offs to plan for.

Explore how AI-assisted development reshapes hiring, team size, and engineering roles—what to change in interviews, org structure, and career paths.