Led product across teams in the United States and Malaysia, for a platform of 23M+ users. Built a $9.6M ARR business unit and an industry-first advertising engine embedded inside Microsoft Copilot, where the conversation itself becomes a channel that drives clicks and revenue.
Debashis Nayak
I build AI products and write about what works.
Founder of Products Decoded, Jobtune, and Astrika. Ex-MoneyLion, where I built a $9.6M ARR business unit. Ten years turning ideas into products people pay for.
Engineer, then founder, now product.
I started as a software engineer, learning how to build. Then I spent years as a founder, learning what to build and why. Product management is where those two meet, and it is where I sit today.
The thesis that survived every company since: ship something real, get a paying user inside 90 days, and use the thing every day.
Read the full story →Ten years of shipping, across fintech, logistics, and AI.
Founded and ran a product studio out of college. Grew it to a 50+ person team and shipped 100+ products across fintech, IoT, automotive, and edtech. Served 100+ business clients, including government.
Led the RBI licensing process and rebuilt the product suite for compliance. Built Split Calculator, an automated reconciliation product that replaced a fully manual settlement process.
Built ePOD and Control Center, an ML-powered predictive logistics platform handling rate calculation, delivery-timeline prediction, and tracking in one dashboard.
Coached 50+ aspiring product managers with a 95%+ placement rate. The foundation for the bootcamp.
Live AI demos for campuses and teams.
300+ students watched one AI system roast a fresher resume, rewrite it without inventing a fact, hunt real openings, and build per-company application kits, all on screen. Hosted with KSAC Society Konection + Industry Talks.
Want this session at your college or company? Get in touch →
Products I have shipped, that you can use now.
AI-powered Vedic astrology. For the moments that feel uncertain, from careers to relationships to what comes next.
Open →AI resume tailoring and a job-match agent. Built for placement season. No watermark, no credit card.
Open →An open-source personal agent OS. Any LLM, skills you choose, and a private memory you can see, all on your own machine.
Open →A Chrome extension for full-page screenshots. Capture the whole scroll, crop it, and save as PNG, JPG, or PDF, all on your machine.
Open →A product URL in, ad videos in every aspect ratio out, or a narrated launch film with one voice and sound design. Brand colours and imagery come from the product’s own site.
Open →Become an AI-native product manager. Live cohort training from someone who has built products and hired PMs.
Open →Holt, my open-source agent OS. Building now
A personal AI assistant you run on your own machine. Any LLM, the skills you choose, and a private memory you can actually see and navigate. Free and open, MIT licensed.
- Memory you can see and edit as files
- Any LLM: Claude, OpenAI, Gemini, or local
- It remembers on its own inside Claude Code
- A wiki, a graph, skills, and MCP built in
The Lab. Play one now
Six small browser experiments: physics toys, generative sketches, and two games. Each one is a single HTML file that runs the moment it loads, with the source open on GitHub. I build them to find out whether an idea feels good before it becomes a product.
You get one click. It sets off a blast, and anything that drifts into it goes off too.
I teach this, live.
Two-day masterclasses and cohorts where leaders and students build working AI agent systems, hands-on. The first Builders Edition ran in August; the next batch is forming.
Operator notes on AI, product, and building.
The evergreen writing lives here. Everything is also mirrored on Medium.

Deleting a cloud VM does not end the bill. The primary IPs attached to it keep charging on their own until the whole project is gone, and here is the teardown check I run now.
Read →
I automated job discovery and ended up with 163 scored roles and 125 overdue follow-ups. The backlog proved discovery was never the bottleneck, and my own tailoring tool was quietly deleting my best facts.
Read →
Astrika had two bad days inside ten. The first one I caused myself by sending a marketing email that killed my own login system. The second was 64 signups from 50 Tor exit nodes at roughly one an hour, slow enough that every control I had ever written waved it through.
Read →
My agents can read anything and draft anything. Nothing leaves the machine without me pressing send, and after a year that is the only guardrail I have never quietly relaxed.
Read →Operator notes, in your inbox.
Weekly notes on AI, product, and building. I tell this list about new bootcamp cohorts first.