The Journal
The notes I would have wanted at fifteen.
Long-form notes on shipping production systems, scaling SaaS, hiring engineers, AI integration, and the engineering decisions behind Yashveer Labs — written by founder Yashveer Singh.
Connection Pooling: The Quiet Killer of SaaS Performance
Connection pooling is the technique of reusing database connections across requests instead of opening a new connection for each. Done well, it dramatically reduces overhead and supports many more concurrent users. Done poorly, it produces incidents that look like database performance problems but are actually pool exhaustion. The pool size, the connection lifetime, and the queue behavior are the three settings that matter most.
Web App and Frontend DevelopmentComponent Libraries vs Custom Design Systems
A component library is a packaged set of UI components you adopt and use. A custom design system is the set of tokens, patterns, and components that your team builds to express your brand. Most teams start with a component library to ship quickly, then build a thin design system layer on top to differentiate. Few teams go full custom. The ones that do usually regret it within two years.
Hiring Developers, Freelancers, and AgenciesCompensation Frameworks That Scale Past Twenty Engineers
A compensation framework is the documented system that determines how engineers at your company are paid. Bands by level. Location adjustments. Equity grants by role. Annual review process. Without a framework, compensation becomes whatever was negotiated, which produces resentment as soon as two engineers compare notes. With a framework, the team has a shared understanding of how pay works. The framework scales the company past the point where the founder can hand negotiate every offer.
Hiring Developers, Freelancers, and AgenciesCommunication Patterns That Predict Project Success
Communication patterns that predict project success are the observable habits in how an engineer or team communicates with the founder. Clear written updates. Explicit scope conversations. Early surfacing of blockers. Honest estimates. Async first behavior. The patterns are stable across projects. They predict outcomes more reliably than the engineer's resume or rate. Most founders learn this after the wrong communication pattern has cost them a project.
MVP Development and Startup BuildsCommon Founder Misconceptions About MVPs (And How They Get Expensive)
Founder MVP misconceptions are the consistent set of wrong assumptions that first time founders bring to their first build. They are not stupidity. They are pattern matched expectations from other domains that do not apply to software. The misconceptions cost months and money. The corrections take an hour to learn and save quarters of work. Most founders learn them by paying for them. The lucky ones learn them in advance.
Performance OptimizationCode Splitting Strategies for Next.js Applications
Code splitting in Next.js applications is the practice of breaking the JavaScript bundle into smaller pieces that load only when needed. Next.js handles route based splitting automatically. The team is responsible for component level splitting through dynamic imports, the proper use of server versus client components in the App Router, and the lazy loading of heavy dependencies. Done well, the initial bundle stays small and the user pays the cost only for what they use.
Tech Debt and RefactoringCode Smells That Predict Tech Debt
Code smells are patterns in code that suggest deeper problems. Not all smells matter. The ones that reliably predict tech debt are specific. Functions that grow without breaking up. Files that everyone has touched. Tests that are skipped. Try catch blocks that swallow errors. Configuration that lives in code. The teams that treat these specific smells as warnings and address them early avoid the larger debt that they predict.
Backend, APIs, and System DesignCockroachDB and TiDB: When Distributed SQL Pays Off
Distributed SQL is the category of databases that provide the familiar SQL interface with horizontal scaling and multi region replication. CockroachDB and TiDB are the leaders. They solve the problem of scaling a single database past what Postgres or MySQL can do on a single node. The trade off is operational complexity that most SaaS does not need. The right call depends on whether your scale or geography demands it.
Performance OptimizationCLS Without Tears: Layout Stability Patterns
Cumulative Layout Shift measures how much the visible content moves around as the page loads. A good CLS is under 0.1. A poor CLS is over 0.25. The fix is mechanical. Reserve space for images, embeds, and async content. Use font display strategies that do not cause reflow. Avoid injecting content above existing content. The patterns are small. The impact on user trust is large.
Comparisons and Vendor DecisionsCloudflare R2 vs S3 vs Backblaze B2
S3 is the original object storage with the broadest ecosystem and the deepest integration with the AWS stack. Cloudflare R2 is S3 compatible storage with zero egress fees. Backblaze B2 is the lowest cost option with reasonable performance. The right choice depends on the egress pattern, the surrounding stack, and the team's risk appetite for newer vendors.
Software Costs and BudgetingCloud Hosting Costs at Scale: What Founders Underestimate
Cloud hosting costs scale non linearly with usage. The compute and storage line items are predictable. The hidden costs are not. Egress charges, NAT gateway data processing, snapshot retention, idle resources, cross zone data transfer, and managed service premiums all compound. Founders who model only compute and storage are surprised by their actual bill. Founders who model the full picture make better architecture decisions.
DevOps, Deployment, InfrastructureCI CD Pipelines That Engineers Trust: A Pattern Library
A CI CD pipeline that engineers trust is fast enough to run on every change, accurate enough that green means safe, and clear enough that failures are actionable. The pipelines engineers trust shape the engineering culture. The pipelines engineers do not trust produce workarounds, fear of deployment, and incidents that should have been caught.
DevOps, Deployment, InfrastructureCI Caching Strategies That Cut Build Times in Half
CI caching strategies are the techniques that reuse work across builds so each new build does not redo everything from scratch. Dependency caches, build artifact caches, container layer caches, test caches, and incremental compilation each save real time. Combined, they typically cut total CI time in half. The investment is a day of engineering. The return is faster feedback loops for every engineer on every change.
Business Automation and OpsChurn Prediction Automation for SaaS
Churn prediction automation is the system that watches customer behavior, flags accounts likely to churn, and triggers a defined response. The system does not require machine learning at most scales. A small set of leading indicators combined with automated alerts and a save play workflow catches most of the revenue that would otherwise leak away. The teams that automate this recover more revenue than the teams that wait for the cancellation email.
Backend, APIs, and System DesignChoosing a Cache: Redis vs Memcached vs In Memory
In memory cache lives inside your application process. It is the fastest and simplest cache but does not share across processes. Memcached is a distributed key value cache with simple semantics and extreme performance. Redis is a distributed cache and data structure server with richer features. Most modern SaaS picks Redis for the breadth. Memcached and in memory each win in specific cases that justify their constraints.
Comparisons and Vendor DecisionsChartMogul vs Maxio vs Mosaic for SaaS Metrics
ChartMogul is the SaaS metrics tool focused on MRR, ARR, churn, and cohort analysis with deep Stripe integration. Maxio (formerly SaaSOptics and Chargify) is the billing and revenue recognition platform that fits accounting requirements at scale. Mosaic is the strategic finance platform for modeling, planning, and consolidating across data sources. The three solve different problems. The right combination depends on team stage and finance maturity.
DevOps, Deployment, InfrastructureChaos Engineering at Startup Scale
Chaos engineering for startups is the deliberate practice of injecting failure into your system to discover weaknesses before customers do. Startup chaos is not the production wide automated chaos that large companies practice. It is targeted exercises that simulate specific failures the team has not yet tested. Database outage. Slow dependency. Disk full. The exercises take hours per quarter and prevent days of incidents.
Backend, APIs, and System DesignCDN Strategy for a Global SaaS in 2026
A CDN strategy in 2026 covers static assets, public API responses, dynamic page caching, edge functions, image optimization, DDoS protection, and global routing. The right CDN reduces origin load, improves user perceived performance, and gives you a defensive layer in front of the application. The wrong CDN is just a passthrough that adds latency and cost.
Performance OptimizationCDN Cache Headers: A Practical Primer
CDN cache headers are the instructions you send with each HTTP response that tell the CDN and the browser how to cache the response. Cache-Control is the primary header. ETag and Last-Modified support validation. Vary controls cache key. A few patterns cover most cases. The wrong headers either prevent caching or cache stale data. The right headers make the difference between a fast page and a slow one.
Business Automation and OpsCalendar Automation for Founders Without Burning Out
Calendar automation for founders is the set of tools and rules that protect the founder's time from the people who would consume it. Scheduling links, default meeting durations, focus blocks, automatic context switching reminders, and a clear policy on what gets a meeting. The automation handles the booking mechanics. The discipline handles the saying no. Both are required.
Comparisons and Vendor DecisionsCal vs Calendly vs SavvyCal for Sales Bookings
Calendly is the established scheduling tool with the largest brand recognition and the broadest feature set. SavvyCal is the prospect first scheduler that lets the invitee overlay their calendar and find times together. Cal.com is the open source alternative with a strong developer experience and fast iteration. The right choice depends on whether you optimize for brand familiarity, prospect experience, or platform flexibility.
SaaS Architecture and ScalingCaching Strategies for Growing SaaS: From None to Multi Layer
Caching is the discipline of storing computed or fetched results so subsequent requests do not pay the full cost. SaaS products typically progress through four cache layers as they grow. No cache. Application layer cache. Distributed cache. CDN and edge cache. The right layer to add depends on the bottleneck. The wrong layer adds complexity without solving anything.
AI Integration and Vibe Coding RescueCaching AI Responses: Patterns That Cut Costs by 60 Percent
Caching AI responses means storing the output of a model call so a future identical or similar call can reuse it without paying the model fee again. Three patterns cover most production cases. Exact match caching for deterministic prompts. Semantic caching for similar prompts. Prompt prefix caching with the provider's native feature for shared context. Combined, these cut typical AI costs by half or more.
Performance OptimizationBundle Size: The Quiet Killer of Mobile Web Performance
Bundle size is the total weight of JavaScript and CSS the browser must download and parse before your app becomes interactive. On a fast desktop with broadband, a heavy bundle is barely noticeable. On a mid range Android over 4G, a heavy bundle is the difference between a usable app and one that the user closes. Most mobile web performance work is bundle work.