Nodo
Early accessYour accountability buddy on WhatsApp.
Text Nodo anything you want to keep track of — todos, ideas, reminders, random thoughts, links to bookmark, or things you don't want to forget.
Get access →AI-native product studio
Building AI-native products from curiosity to launch.
Value Add is an AI-native product studio run by one person and many agents.
How I work
One person. Many agents.
Product
PRDs, user stories, prioritization, launch criteria.
Engineering
Architecture, code, reviews, tests, deployment.
Growth
Positioning, landing pages, posts, feedback loops.
AI handles the leverage. I make the judgment calls.
The thesis
Software companies are getting smaller.
What used to require a small team — product, engineering, design, QA, marketing, analytics — can now be orchestrated by one person with the right AI-native operating system.
Value Add exists to test that shift in public through real products, real users, and fast iteration.
Origin
From studying value to building it.
01 / Research
The Value Add newsletter & podcast
Value Add began as a newsletter and podcast exploring alternative investments — real estate, private credit, wine funds, startups, and the people creating value outside traditional public markets.
02 / Experimentation
RecoverFit
Writing turned into tinkering. RecoverFit was a PT-led recovery and injury-prevention concept run out of NYC to help you maximize your workout while minimizing injury.
03 / Enterprise discipline
Product at Citi
Building a suite of data and analytics products at enterprise scale to help Risk Managers monitor credit exposure through ad-hoc and self-serve insights.
04 / AI-native building
Claude, Codex, and the return of curiosity
Combining years of product thinking, UX instincts, and enterprise discipline with AI agents like Claude Code and Codex — turning one person's judgment into a full product operation.
Portfolio
Products and experiments.
Nodo is the first AI-native product built through the Value Add operating model — launched from a personal pain point.
How I build
Product judgment in front. AI leverage behind it.
Internally, Value Add runs on a reusable AI-native operating model: briefs, PRDs, prioritization frameworks, agent skills, review loops, launch workflows, and lightweight infrastructure.
Plan
Product clarity
Define the user, the wedge, the jobs-to-be-done, and the smallest valuable version.
Build
Agent execution
Use Claude Code, Codex, and reusable skills to turn product specs into working software.
Review
Quality loops
Challenge assumptions, review code, test edge cases, and tighten UX before launch.
Ship
Fast feedback
Launch quickly, watch behavior, collect feedback, and decide what deserves more investment.
Writing
The Value Add
The newsletter is becoming a build log: notes on AI-native product development, solo founder leverage, agent workflows, and what I'm learning while building Nodo and future products.
Read on Substack →
Founder
Nikhil Pajankar
Product leader in risk analytics by day. Solo founder building AI-native products by night. I'm interested in the intersection of enterprise rigor, consumer software, and the new leverage AI gives individual builders.
Outside of work, I'm usually planning a dive trip, hunting for a great meal, or escaping the city for the mountains.
Value Add Capital LLC
The entity behind Nodo and other AI-native software products.