INSIGHTS
Design & strategy for builders who ship.
Practical writing on AI development, MVP building, and product strategy, for founders building products people love.
Products teach better than pitches
Why building our own products is the strongest training ground for client engineering—and what that means for how we partner.
The Day-29 Problem: What to Instrument Post-Launch
What founders must measure the morning after launch before spending money on marketing. The minimal 4-point telemetry stack that reveals drop-off.
The Only Technical Debt Acceptable in an MVP
The distinction between borrowed debt that speeds delivery and toxic debt that requires a total rewrite. A practical categorization framework.
Multi-Tenancy Without Microservices: PostgreSQL RLS
How Ankik isolates tenant data using PostgreSQL Row-Level Security in a single database instead of spinning up complex multi-database clusters.
When to Build Custom Software vs Configure SaaS
The core versus context rule. When to write custom code for business differentiation and when to configure existing tools to protect runway.
What Principal-Led Means in Practice
Why hiring a studio where principals write the code beats paying agency account managers and junior contractors. Zero communication loss.
Why Autonomous AI Agents Fail in Production
Prompting LLMs in a loop works in terminal demos but breaks in production. How idempotency, schema checks, and state boundaries prevent failure.
Boring Stack Decisions That Age Well for Startups
Why PostgreSQL, server-rendered components, and single monoliths outlast microservices and bleeding-edge frameworks for early software products.
What Belongs in Week One of an MVP
Why founders waste week one on profile avatars while core data flow stays unbuilt. The 7-day sequencing that protects startup runway.
We Changed Ankik's Infrastructure Three Times. Here's Why.
From AWS EC2 + RDS to a ₹520 private VM and finally AWS Lightsail — what Ankik learned about cost, latency, reliability, and operational uncertainty.
The Retainix 5-Second Counter Rule
Why loyalty at the petrol counter must be branch-safe and explainable in five seconds — a lesson from building Retainix.
Ankik Ledger: One Trusted Number First
How I built Ankik around one trusted balance — from scattered notebooks to a typed ledger — and what it taught me about MVPs.
Cheap vs Correct AI Integration: Cost of Hype
The difference between cheap AI that demos well and correct AI that retains users — hype vs correct comparison and cost of hype.
AI Features That Earn Retention, Not Just Demos
When AI earns a slot in your MVP — and when it is hype. A decision matrix based on completion rate and friction.
MVP Scope Pruning: Must Ship vs Deferred
A practical framework for pruning MVP scope — must-ship vs deferred, the five-state checklist, and a copyable scope cut list.
MVP Cost Breakdown: $1,200 to $4,500 Explained
How we price Build Sprints from $1,200 to $4,500 — what moves the price, what each tier includes, and the cost of cutting care.
How We Ship a Core in 14 Days and Live in 28
Our Build Sprint timeline: a usable core in 14 days, a hardened product live in 28 — and what happens in each phase.
Beyond Google: Measuring AI Search Grounding via Bing
Why Bing is the core retrieval backbone for AI search engines, and how its AI Performance Report turns generative discovery into measurable telemetry.
Good engineering is invisible — by design
Users shouldn't notice the implementation. They should notice how easy everything feels. Notes on craft that stays out of the way.
MVP means minimum viable, not minimum care
How we define MVP surfaces with founders so speed doesn't become an excuse for fragile foundations.
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Tell us what you're building. We'll figure out what matters first, what it will take, and whether we're the right fit.
Or email us at dhanji@emiote.com