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.
The Bug That Cost a Year of Trust
Not every production bug is a technical failure. Some are trust failures. A bug that corrupts customer data, silently produces wrong outputs, or affects a billing calculation can undo months of goodwill in days. The technical cause is almost always fixable. What takes longer to fix is the customer's confidence that the product can be trusted with their work.
Startup Failure Postmortems and FearThe Security Incident That Closed the Series A
A security incident kills a Series A by destroying the trust the investors and the largest customers had spent months building. The incident itself is usually small. The cascade is what kills the company: customer churn, missed forecasts, due diligence that surfaces other issues, and a founder spending their energy on damage control instead of selling the round. By the time the company recovers, the round has moved on.
Startup Failure Postmortems and FearThe Migration That Ate the Roadmap
The migration that ate the roadmap is a failure pattern where a large infrastructure or data migration is initiated without adequate scoping, staged planning, or rollback capability, and ends up consuming most of the engineering team's capacity for months longer than estimated. The team produces no visible product progress during this period, customer facing features are delayed, and the migration itself often delivers less than the original estimate promised. The pattern is common in startups that have accumulated significant technical debt and decide to address it all at once.
Startup Failure Postmortems and FearThe Outage That Cost the Year
Not every outage is a recoverable incident. Some outages happen at the wrong time, with the wrong customer watching, and with a recovery timeline long enough that the damage compounds beyond the system failure itself. These are the outages that cost more than downtime. They cost contract renewals, series A trust, and sometimes the company's trajectory. I have been close enough to a few of them to describe what they actually look like from the inside.
Startup Failure Postmortems and FearThe Black Friday That Took Down the Startup
Black Friday, a product launch, a press mention, or a social media moment: any predictable traffic spike can expose architectural weaknesses that steady, ordinary load never triggered. The startups that go down under a spike usually had the same failure mode. The database connection pool saturated. The queue backed up. The cache was not there. The autopsy always shows the same three lines in the logs.
Startup Failure Postmortems and FearWhy Your App Got Slower After You Added Users: A Business Postmortem
An app that slows down as it grows is a technical problem with a business body count. Renewals stall, the best engineers burn out firefighting, and the roadmap freezes while the team fights the product it already shipped. This is the postmortem of how a growth win turned into an existential slowdown, and what the team should have done at each fork.
Startup Failure Postmortems and FearThe Engineering Decision That Killed the Company
The engineering decision that kills a company is almost never the obviously wrong call. It is the decision that seemed reasonable at the time, was made without enough information, committed the company to a path that became expensive to change, and was compounded by subsequent decisions that assumed it was still correct. The pattern appears in technology choice, architecture, build versus buy, and platform dependency. The damage accumulates slowly, then all at once.
Startup Failure Postmortems and FearWhen Tech Debt Becomes Existential
Tech debt becomes existential when the cost of carrying it exceeds the team's capacity to build the features the business needs to survive. Most startups cross this line gradually, without noticing, because the engineers adapt and the founders do not measure velocity in a way that reveals the problem. By the time it is visible, the company is spending more than half its engineering budget maintaining a codebase that is actively resisting growth.
Startup Failure Postmortems and FearThe Pivot That Came Too Late: A Technical Story
A late pivot is not a strategy problem dressed as a technical one. It is a technical problem that made strategy impossible. When the codebase cannot be reoriented in weeks, the business cannot respond in time. I have watched pivots die in the migration queue, not in the board meeting. The product was wrong, but the architecture was what made correction fatal.
Startup Failure Postmortems and FearThe Five Architectural Failures That Killed Startups I Worked With
Architectural failures that kill startups are rarely dramatic mistakes. They are reasonable decisions made at the wrong scale or with the wrong assumptions about how the product would grow. The five patterns I have seen most often: a single tenant architecture that made multi tenancy prohibitively expensive, a synchronous processing model that could not handle load spikes, a vendor dependency that became a strategic trap, a premature microservices split that slowed every feature, and a data model so inflexible it could not accommodate the pivot the business required.
Startup Failure Postmortems and FearWhy Most Startup Apps Fail Technically
Most startup apps that fail technically fail for a small set of repeated reasons: architecture that does not match the workload, tech debt that compounded past the team's ability to manage, a single person who left and took the system knowledge with them, and infrastructure choices made for the wrong stage. Each is predictable. Each is preventable. None requires heroics.
Startup Technical StrategyThe Engineering All Hands That Engineers Look Forward To
An engineering all hands is a regular meeting where the entire engineering team gathers to share updates, discuss direction, and build shared context. The difference between an all hands engineers dread and one they look forward to is almost entirely in the content: the meetings engineers dislike are status reports. The meetings engineers value are the ones that give them information they could not get anywhere else and create space for honest conversation about technical direction.
Startup Technical StrategyThe Engineering Newsletter That Engineers Forward
An engineering newsletter that engineers forward is one that contains information they cannot get elsewhere, presented in a format that respects their time. Internal engineering newsletters build team alignment and give engineers a sense of what is happening across the organization. External newsletters build brand and audience by providing genuine value to practitioners in the domain. Both types fail when they become announcements rather than content.
Startup Technical StrategyThe Engineering Brand: Why It Matters More Than You Think
Engineering brand is the reputation a company's engineering team has in the technical community. It affects who applies for engineering roles, which senior engineers are willing to join, whether prospective customers trust the technical claims the sales team makes, and whether enterprise buyers pass security and technical due diligence. A strong engineering brand is built through public technical work: open source contributions, a technical blog, conference talks, and a track record of building systems that work at scale.
Startup Technical StrategyThe Engineering Open Roles Page That Attracts Senior Talent
The engineering roles page is the first substantive impression a senior candidate has of the company's technical culture. Senior engineers read it differently than junior engineers: they are evaluating the quality of the problems, the sophistication of the technical environment, and whether the company knows what good engineering looks like. A roles page that reads like a requirements list is targeting junior candidates. A roles page that describes the problems and the technical environment is targeting experienced ones.
Startup Technical StrategyThe Apprenticeship Program for Engineers
An engineering apprenticeship program is a structured 90-day track for engineers who have real potential but limited production experience. Unlike internships, apprenticeships end with the person either hired or capable of shipping on their own. Unlike hiring seniors, apprenticeships give you access to underpriced talent that the resume-filtered hiring funnel misses entirely.
Startup Technical StrategyThe Engineering Sabbatical: An Underrated Retention Tool
An engineering sabbatical is an extended period of paid leave, typically four to twelve weeks, that allows engineers to step away from their regular work to explore, rest, or work on projects of their choosing. Companies offer sabbaticals as a benefit tied to tenure, as a retention tool for engineers at risk of leaving who are performing well, or as part of a broader culture of sustainable work. The evidence on sabbatical impact is consistently positive: engineers who return from sabbaticals stay longer, work at higher quality, and contribute more creatively.
Startup Technical StrategyThe Engineering Internship Program at Startup Scale
An engineering internship at startup scale works when the intern has a defined project, a dedicated point of contact, and the right level of support for their current skill. It fails when the intern is treated as free labor without structure, given work that is not meaningful, or supervised so closely that they deliver no value while consuming senior engineer time. The companies that run good internships at startup scale treat them as a twelve week structured hiring process, not a favor to a college student.
Startup Technical StrategyThe Engineering Hiring Bar: How to Set and Hold It
The engineering hiring bar is the minimum standard a candidate must meet to be offered a role on the team. Setting the bar requires defining what good engineering looks like for the specific company at its current stage, not good engineering in the abstract. Holding the bar requires declining candidates who do not meet it even when the team is understaffed. The companies that hold the bar consistently build stronger teams than the companies that adjust the bar to fill seats.
Startup Technical StrategyThe Engineering Compensation Philosophy That Scales
Engineering compensation philosophy is the set of principles that govern how a company pays engineers: what data it uses, how it structures salary bands, when it adjusts compensation, and how it handles equity. A compensation philosophy that scales is one that remains internally consistent and externally competitive as the team grows from five engineers to fifty. Most startups do not have one, and the absence shows up as retention problems and offer rejections at the worst possible time.
Startup Technical StrategyThe Engineering Performance Review That Engineers Find Useful
An engineering performance review that engineers find useful is one where the feedback is specific, connected to observable work, and actionable within the next review cycle. The review that engineers dread is the one where feedback is vague, unsurprising (because no feedback was given during the year), or disconnected from the criteria for advancement. The difference is in the process that produces the review, not in the review meeting itself.
Startup Technical StrategyThe Engineering Career Ladder That Engineers Trust
An engineering career ladder defines the expectations and behaviors at each engineering level. A ladder that engineers trust is one where the criteria for advancement are specific and observable, the differences between levels reflect real capability differences, and promotions happen based on demonstrated performance rather than tenure or favoritism. Most ladders fail on at least two of these three dimensions.
Startup Technical StrategyThe Engineering Values That Survive Hyper Growth
Engineering values survive hyper growth when they are specific enough to guide behavior in situations that did not exist when the values were written. The value that says 'move fast' does not tell a team of 80 engineers when to slow down for a security review. The value that says 'we deploy to production when we are confident the change is safe' does tell them. The values that survive scale are the ones that are specific about what they mean in practice.
Startup Technical StrategyThe Engineering Culture Document That Engineers Actually Read
An engineering culture document is a written articulation of how the engineering team works: what it values, what it deprioritizes, how decisions get made, how disagreements get resolved, and what behaviors are rewarded or corrected. A culture document that engineers actually read is specific enough that it would be recognizably wrong if the practices changed. Most culture documents are aspirational rather than descriptive and fail this test.