MVP Studio · Done WaitingMVP Studio for Founders Who Are Done Waiting
Your Idea Won't Wait.
Launch Your Product in 21 Days.
Kesteral turns founder ideas into production-ready web, mobile, and AI products — without months of hiring.
The 21 days
What 21 days actually looks like
Day 1
We talk
30 minutes. You describe it, I tell you what fits.
Day 3–5
You approve the screens
Clickable prototype. Change anything, it's free here.
Day 6–16
I build
Staging link updates daily. You watch it appear.
Day 17–19
Everything gets checked
Payments, logins, edge cases, load.
Day 20–21
It goes live
Your domain. Repo transferred. You own all of it.
WHAT YOU GET
Everything a real product needs, included
One flat scope. Every piece below ships with your MVP — no upsells, no 'phase two' surprises.
Web or Mobile App
Fully working
Interface Design
Clean, not generic
Database & Auth
Logins that hold
Payments
Charge from day one
Mobile Responsive
Works everywhere
SEO Optimized
Get found online
Deploy Ready
Launch instantly
Source Code
You own everything
Post-Launch Support
Bugs are on me
Daily Updates
Never guess status
WHY KESTERAL
Why founders choose Kesteral over an agency
From scope call to handover: one engineer owns every step, so you spend your time on customers instead of managing a build.
Built by One Engineer
One person writes your product start to finish — the same person on your scope call. No account managers, no handoffs, no junior swapped in after you sign.
Production AI, Not Demos
I work on production voice AI and agent systems every day — real-time calls, tool-calling agents, RAG. If your idea needs AI, it gets built by someone who does this for a living.
21 Days, Held To
The scope call cuts whatever won't fit, in writing, before a line of code. That is how the deadline stays real instead of becoming an apology in week five.
Architecture That Survives
Postgres, clean service boundaries, real deploys. When your MVP finds traction you scale it — you don't rewrite it six months later.
Design That Converts
Clickable prototypes land in your hands by day five, so you fix the flow while changing it still costs nothing. Built for your users, not a template.
One Price, Agreed Upfront
You get one number after our first call and it does not move. No hourly meter, no change-request invoices, no surprise line items.
SELECTED WORK
Things I have built
Side projects I designed, built and shipped on my own. They are live — click through and try them.
Novels
A reader for long-form fiction — search, chapters, and reading progress that actually remembers where you were.
LET'S TALK
No price tag. Let's talk first.
Give me 15 minutes. Tell me what you want to build and I'll tell you straight whether 21 days is honest for it — and what it takes. You get a flat number for your scope, on the call.
COMPARE
Kesteral vs the usual options
| Kesteral | Typical agency | Freelancer | |
|---|---|---|---|
| Time to launch | 21 days | 3–6 months | Open-ended |
| Who writes the code | The person on your call | A junior you never met | One person, if they stay |
| Price | Flat, agreed upfront | Hourly, creeps up | Hourly, unpredictable |
| You own the code | Yes, day one | Sometimes | Usually |
| Production AI | Built daily | Outsourced | Hit or miss |
| After launch | 30 days of fixes | New contract | Gone |
After launch
Keep shipping without hiring
Your MVP is live. Now real users tell you what they actually want. For a flat monthly fee I keep building — new features, not just bug fixes — with the same person who knows every line of your code. Cancel any month.
Flat monthly
cancel any month
- Priority build time, booked for you
- New features every month
- No re-onboarding a stranger
- Cancel whenever you want
WRITING
From the studio
Process
What actually fits in a 21-day MVP
The honest scope of an MVP, and the features I cut on every project so the deadline stays real.
Aug 12, 2026 · 5 min read
Studio
Why I build with one engineer instead of a team
Handoffs are where products die. Here's the case for one person owning the whole build.
Jul 28, 2026 · 4 min read
AI
Production AI vs demo AI
Most AI features break the moment a real user touches them. What it takes to ship AI that holds.
Jul 14, 2026 · 6 min read
Fine-tuning
Fine-Tune Llama 3.2 Vision-Language Model on Custom Datasets
How to fine-tune Meta's Llama 3.2 Vision model on a custom dataset — from environment setup to inference — using LoRA and Unsloth.
Mar 20, 2024 · 9 min read
Evaluation
A Beginner's Guide to Evaluating RAG Systems with LangSmith
Build a RAG pipeline with LangChain, then use LangSmith to measure correctness, faithfulness, retrieval quality, and hallucinations.
Mar 15, 2024 · 10 min read
Local LLMs
Running Multiple Open Source LLMs Locally with Ollama
Run Mistral, Llama2, and Llama3 on your own machine with Ollama — for privacy, lower latency, and full control over your models.
Mar 10, 2024 · 8 min read
RAG
Building Your Own LLM RAG Chatbot with Neo4j and LangChain
Build a RAG chatbot with Neo4j as a graph-backed knowledge store, LangChain as the NLP pipeline, and OpenAI's LLMs for generation.
Mar 5, 2024 · 11 min read
QUESTIONS
Straight answers
GET STARTED
Tell me what you want to build
Two lines about your idea is enough. I will tell you straight whether 21 days is honest for it, and what I would cut to get there.
Prefer email? [email protected] · Usually replies same day · Bengaluru, working with founders anywhere