ProductSnap Studio
Chapter 01 · the opening page

A living notebook for product judgment.

Where product thinking meets live market signals — and turns into things you can actually use. A working notebook from one product person exploring what AI makes possible.

AI finally gave me the ability to build the things I used to only spec. Some days it feels like magic. Most days it feels like learning.

Built by Jeevan — a working notebook, not a polished article. The smudges are intentional.

Noise Signal Idea Experiment Product ↳ how that actually happens

Macro signals liquidity · inflation · demand
Real decisions why companies pivot
Product strategy prioritization · tradeoffs
Customer behavior habits · trust · attention
Tech shifts AI agents · multimodal · on-device
Future PM outcomes, not features
Practical learning learn by doing
turn the page
where ideas start

Everything here started as a pencil sketch.

I think on paper first — messy boxes, margin notes, arrows that argue with each other. Before there were screens, there were rough sketches trying to answer the same question: does this actually make sense? Here's a peek at two of them. One became the ProductSnap app. The other became Pulse, after a brief detour where it looked suspiciously like a Bloomberg terminal. The full sketchbooks live on their own pages.

Hand-drawn wireframe of the ProductSnap flashcard home screen with margin notes about one card at a time
the app · one card at a time
Hand-drawn sketch: a rejected Bloomberg-style dashboard crossed out, then a clean Signal to Meaning to Product question chain
pulse · from terminal to one question
the thing I shipped

ProductSnap — live on both stores.

A mobile app for product thinkers — flashcards, real product stories, practice reps, and forward-looking PM trends. Now live on the App Store and Google Play. Free, built solo in about twelve weeks, with AI as the whole team. No engineers were hired. Plenty of AI arguments were had.

AI helped with

  • speed
  • iteration
  • code
  • options

I still brought

  • taste
  • judgment
  • product calls
  • QA
  • knowing when something felt wrong
  1. Idea in a notebook
  2. AI conversations
  3. First prototype
  4. Many rebuilds & fixes
  5. iOS + Android launch
live

Pulse — where signals become product questions.

AI costs. Hiring trends. Inflation. Consumer behavior. Most people see them separately. Pulse connects them and asks the question that matters most: what should a product team pay attention to next?

the latest connection

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Read the latest Pulse
what's behind the build

The messy middle behind the finished thing.

Finished products hide the interesting parts: the questions, wrong turns, tiny decisions, and ideas that almost worked. This is the notebook behind ProductSnap Studio — where signals became Pulse, sketches became screens, and messy thoughts became something real.

I'm Jeevan. I work in product, and I got curious about what one person could build with AI. So I spent a few months finding out. ProductSnap, Pulse, and this notebook are the result. This site is the receipt.

Hand-drawn pencil sketch of Atom, a black Labrador, doing a curious head-tilt
Atom — chief morale officer.
Supervised most late-night builds. Mostly by sleeping through them.