Six builds across SaaS, e-commerce, city AI, financial tools, job platforms, and enterprise operations. Each case study covers the actual problem, the approach taken, the specific hard problem encountered, and the result in numbers — not marketing metrics.
A custom operations platform that replaced four separate tools with one.
Enterprise Build — Operations consolidation platform
A mid-size operations team was running their workflow across four tools: a spreadsheet for task tracking, a WhatsApp group for communication, a separate invoicing tool, and a third-party CRM for client records. No integration between them — data had to be manually transferred between systems...
A city directory that answers questions instead of listing addresses.
NammaHubballi — AI-powered local business discovery
Local business discovery in mid-sized Indian cities is broken. Google Maps shows chains and hotels. JustDial has outdated listings and aggressive ad injection. The real local economy — the specific tailor who does alterations, the diagnostic lab that opens on Sundays... The gap was a directory that was genuinely useful for local queries.
A billing tool that an independent business owner can use without a tutorial.
FreeBill — Invoice and billing for independent businesses
Most invoicing tools are built for accountants — not for the freelancer or independent business owner who needs to send three invoices a week without reading a help article first. QuickBooks is overkill. Generic invoice generators have no business logic. The gap was a tool that understood Indian GST structure, generated professional PDFs, tracked payment status, and required zero training to use on day one.
Fifty financial calculators that actually explain what the number means.
FinCalc — Financial calculators for real decisions
Online financial calculators have two modes: too simple (just EMI, no context) or too complex (full financial modelling tools that require a finance degree to interpret). The gap was calculators that gave accurate numbers and explained what those numbers meant for a real financial decision...
A women's fashion brand built from zero — platform, brand, and supply chain simultaneously.
NextGirl — Western women's clothing, direct to consumer
Most D2C fashion brands are either built on Shopify (fast but expensive at scale, limited customisation) or on custom platforms (full control but slow to launch). The requirement was a brand that could launch quickly, handle Indian payment methods natively, support a custom size recommendation flow...
A job portal built for candidates who are done with spam applications.
MNCJob — Verified job listings for serious candidates
Most job portals optimise for listing volume — more jobs, more candidates, more revenue from both sides. The result is a signal-to-noise problem: candidates apply to 50 jobs and hear back from two. Employers post once and receive hundreds of irrelevant applications. The gap was a portal that prioritised verified listings and intent-matched candidates over raw volume.
Most invoicing tools are built for accountants — not for the freelancer or independent business owner who needs to send three invoices a week without reading a help article first. QuickBooks is overkill. Generic invoice generators have no business logic. The gap was a tool that understood Indian GST structure, generated professional PDFs, tracked payment status, and required zero training to use on day one.
Built the entire UX around a single insight: the user should never have to think about where to click next. One action per screen. The invoice creation flow is four steps — client, items, GST, send. The PDF generation runs server-side with Puppeteer to ensure pixel-perfect output regardless of the user's device or browser. Payment tracking integrates with Razorpay webhooks for automatic status updates — no manual 'mark as paid' required.
GST calculation across different slab rates (0%, 5%, 12%, 18%, 28%) with inter-state vs intra-state IGST/CGST/SGST split — implemented correctly in the invoice total and the PDF without any rounding errors. Took three days of edge case testing with real invoices.
200+ active businesses using FreeBill within the first six months of launch. Zero support tickets about the invoice flow. One support ticket ever — a PDF rendering issue on a specific Chrome version, fixed in 4 hours.
Local business discovery in mid-sized Indian cities is broken. Google Maps shows chains and hotels. JustDial has outdated listings and aggressive ad injection. The real local economy — the specific tailor who does alterations, the diagnostic lab that opens on Sundays, the chartered accountant who handles GST returns — is invisible online. The gap was a directory that was genuinely useful for local queries, not just comprehensive in listing count.
Built the discovery layer as an AI query engine rather than a search bar. Users type natural language questions — 'Where can I get a bike serviced near Vidyanagar?' — and the system returns grounded answers from the local business database using Gemini with pgvector RAG. The business listings themselves are structured with opening hours, service categories, and verified contact information — curated manually for quality, not scraped for quantity.
Grounding Gemini responses to only the local database — preventing hallucinated business details while still allowing natural language flexibility. The solution was a strict RAG architecture: Gemini only generates from retrieved context, never from training data, with a fallback 'not found in directory' response for out-of-database queries.
4,000+ businesses indexed. The AI query layer handles 60%+ of all discovery sessions — users prefer the natural language interface over the category browse by a 3:2 margin. Architecture replicated for AskBLR in 2025.
A mid-size operations team was running their workflow across four tools: a spreadsheet for task tracking, a WhatsApp group for communication, a separate invoicing tool, and a third-party CRM for client records. No integration between them — data had to be manually transferred between systems, and nothing had a single source of truth for client status.
Built a unified operations platform with four modules: task and project tracking (replacing the spreadsheet), internal communication log (replacing WhatsApp for business decisions), invoice generation (replacing the standalone tool), and client record management (replacing the CRM). n8n handles all cross-module automation: task completion → invoice trigger, invoice payment → client status update, overdue invoice → alert in communication log.
Data migration from four separate, unstructured sources — particularly three years of WhatsApp conversation history that contained critical client decisions and commitments. Built a custom import tool that parsed WhatsApp export format, extracted structured decision records, and allowed the team to tag and categorise them before migration.
Four tools replaced with one platform in six weeks from brief to production deploy. Team reported 40% reduction in time spent on administrative coordination in the first month of operation. Zero data loss in migration.
What Comes With Every Build.
No Exceptions.
Every case study above was built under the same standard. These are not premium add-ons — they are the default. Every client receives all of these, regardless of project size.
Written scope before any work begins.
A documented scope that defines what is being built, what is not being built, the technology choices, the architecture approach, and the delivery timeline — signed by both parties before a line of code is written.
Architecture document — yours to keep.
A full architecture decision record for the system — technology choices, data schema, API design, infrastructure configuration, and the reasoning behind each decision. Delivered with the system, not as an extra.
Operating runbook — any engineer can use it.
A step-by-step operational guide: deployment process, environment setup, monitoring, common failure scenarios and resolutions. Written to the standard that an engineer unfamiliar with the system can run an incident response on day one.
30-day post-launch operations — included.
The first 30 days after launch are the highest-risk period. CipherBitz monitors and operates every build for 30 days post-launch, responds to all issues, and deploys all fixes as part of the engagement — not as a separate retainer.
Performance baseline before handover.
P50 and P95 latency benchmarks, load test results, and a Lighthouse score report are delivered as part of every handover. The system is measured before it is delivered — not after the client notices a problem.
An honest assessment — before and during.
If the brief is not the right fit for CipherBitz, the first reply says so. If the project direction changes mid-build in a way that affects quality, the scope is renegotiated before proceeding — never delivered and quietly noted.
Start a Build Conversation
If you want to build something with the same approach described in these case studies — written scope, full architecture, operating runbook, and 30-day post-launch — reach out directly. The first conversation is always about fit.
- ● Written scope before any commitment
- ● Architecture document delivered with build
- ● Operating runbook — standard, not extra
- ● 30-day post-launch operations included
Read Every Case Study
The three featured cases above are the most detailed. All six are documented with the same structure: problem, approach, hard problem, result. Click any card above to read the full case.
- ● FreeBill — SaaS billing tool
- ● NammaHubballi — City AI directory
- ● MNCJob — Verified job portal
- ● NextGirl — D2C fashion platform
- ● FinCalc — Financial calculators
- ● Enterprise Platform — Operations consolidation
Read the Platform Architecture
Every build above runs on the same formalised architecture: Next.js + PostgreSQL + n8n + Cloudflare + PM2. The platform document explains every layer, every decision, and every performance benchmark in production.
- ● Full stack documented publicly
- ● Performance benchmarks — real numbers
- ● Infrastructure decisions explained
- ● Updated quarterly
The Work Is the Argument.
Every case study on this page started with a single message: "We have something we want to build." The scope, the architecture, the stack, and the result all followed from that. Yours can start the same way.