Helping non-tech businesses build software products in 8-12 weeks | DM me your app ideas | Owner - Ionio |

Hi, I'm Rohan! I run Ionio — a strategic AI consultancy for Retail & Ecom SaaS. We help mid-market platforms ($5M-100M ARR) build AI features that reduce churn, justify premium pricing, and turn their product into something merchants can't live without.

Over the past 5 years, we built 40+ products and helped founders go from zero to seven figures multiple times. Same playbook, over and over: take an idea, ship it fast, make it work, scale it.

After doing that tens of times, we wanted to take everything we learned and bring that energy to companies at the next stage. That's how we ended up focused on mid-market Retail & Ecom SaaS.

I'm genuinely passionate about this space. Generative AI lets us do something that was never possible before: personalize every single customer interaction. Not segments. Not cohorts. Actual one-on-one conversations at scale. Retail and ecom is where that has the biggest impact.

I've been working in AI since 2016 — back when that meant computer vision, not ChatGPT. Smart cameras, facial recognition, number plate recognition. That foundation matters when you're building production systems that actually need to work.

Previously: From 18 to 20, Sr. Software Engineer at SmartCow (Deep Tech AI company in Malta). At 17, Python work for a Mumbai startup, who are YET to pay me. At 15, building websites and apps for family friends in Java. It's been over a decade.

I started Ionio as a college junior, from my parent's bedroom, while hiring someone to do my assignments & a chauffeur to take me to college. Now it's a little less grunge than that.

In another life: rapper, musician, and cinematographer. Now I just build AI for retail... :(

What our clients say:

"Working with Ionio felt like having an extension of my own team — professionals who genuinely cared about delivering results, not just collecting a check."
— Stefan Georgi, Founder, 9-figure ecom founder

"Fastest I've ever launched a polished product. From wireframes to +1000 paying users in <8 weeks."
— Brad Milne, CTO, SupplierHQ

"Ionio has the character to navigate challenges and the technical depth to turn our 'AI-first' vision into reality."
— Sallyann Della Casa, CEO, Gleac

Read 35+ case studies on our site.

I post about: AI strategy for retail, technical deep dives, and behind-the-scenes of building Ionio.

If you're leading product, engineering, or strategy at a Retail & Ecom SaaS company, or a founder in any space — DM me, I always reply. If you're in Mumbai, I'll buy you a coffee.

Rohan Sawant

Every week I get on a call with a CEO who spent a weekend on Lovable and now thinks his engineering team is lying about timelines

It always goes the same way. They find Lovable, Emergent, bolt.new or Replit Agent, mess around for 2 days and suddenly they have something that looks like a real product.

They screenshot it, show the engineering team on Monday and go “I did this in two days why the fuck are you telling me 5 months”

And honestly? The CEO is right to be pissed

Not about the Lovable prototype being production ready, it’s not. But about the speed. 

Any engineering team in 2026 still operating at pre-AI timelines is just doing something wrong. 

If they’re not shipping at least 3x faster than they were 2 years ago you need to have a hard conversation with your developers

The leading players in every category are already building at this speed. 

The problem is both sides are delusional. The CEO thinks the Lovable thing is the product. The engineering team thinks 5 months is still a reasonable timeline. Both are wrong

We show up to the second call with a working prototype before the contract is even signed. Then we throw it away. 

Its only job was getting everyone aligned in 3 days instead of 6 weeks of arguing about button placement

Then we rebuild it properly. Production grade. In 6-8 weeks and not 5 months

If that sounds fast it’s because it is. And if your team can’t do it that’s the conversation you actually need to be having

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Nobody in B2B is competing on this one thing - “taste”

I’ve been looking at companies that have raised 50, 70, 100 million dollars and their landing pages feel like templates, their content is educational but forgettable and their product demos could belong to any of the hundred other tools in their category.

Then you look at the brands they’re trying to sell to, luxury D2C, premium ecommerce, companies that obsess over every pixel on their product page and the SaaS vendor pitching them can’t even get their own site to feel intentional.

What most founders miss is that when anyone can ship features in a weekend and the tech gap is shrinking by the month. 

A great product gets you in the room, but taste is what closes the deal.

When everyone is using the same models to write code, the same tools to ship faster and the same frameworks to build products, every app starts to look and feel like every other app. 

The UI feels generated, the experience feels generic and nothing has a point of view.

Taste is what defines your pricing, gets you into the premium segment of customers and increases your margins when everyone else is competing on features and discounts.

Nobody in B2B SaaS is competing on this. Everyone is racing to ship more AI features faster and the company that slows down enough to get the look and feel right will win deals they have no business winning.

PS: Pinak F. is on the 6th iteration of the UI just to get this right. That's the work nobody sees but everyone notices.

"bae pls go to sleep you are not on linkedin anymore, it's 3am on saturday"
.
"Last week I got on a call with a SaaS CEO. Retail space. <$5M ARR. Sideways growth.

He told me they'd been planning an AI feature since December. Two months in, they JUST had wireframes and a Figma prototype. Bunch of screens that looked pretty in a presentation. Fake demos on the landing page.

His exact words: "We're probably ~5 months out from shipping something."

5 MONTHS. GPT-4.5 was 5-6 months ago. The entire landscape shifts in that window.

"This is not even 2 months of work," I told him.

2 days later, we took the call transcript and showed up to the next meeting with a clickable Lovable prototype of the same feature. The call after that, we'd started fleshing out actual React components — 20% of functionality done.

Here's how: Pinak F. sketched rough screens in Excalidraw — maybe 15 minutes — then recorded an audio walkthrough of what each screen should do. 

That audio got fed into Claude to generate component-level prompts. Those prompts went into Antigravity IDE, which generated the full UI. Then Cursor Claude polished everything into clean, production-ready React.

Total time from "here's what I want" to clickable prototype: half a day.

His designers spent weeks on wireframes that could've been a 5-minute sketch. His product team spent weeks in Figma building pixel-perfect mockups nobody outside the company ever saw. His engineers hadn't written a single line of code in 2 months of "planning."

Meanwhile his competitors — GenZ YC brollihaired founders — are turboramming and rebuilding his product brick by brick.

The month most teams spend going from idea to mockup? Now less than a week. The 4-6 months of dev after that? Closer to two. Timelines have 1/3rd-ed themselves.

You don't have to work with us. Work with anyone who understands this. 

But if your team is still running the wireframe, Figma, sprint planning, dev, QA pipeline for EVERY feature...

Do they not know these tools exist? Or do they know, and they're just not telling you? 

Godspeed.

Computer Science Student • Published Researcher • Patent Holder • Developer of 14+ Applications

I'm a final-year B.Tech Computer Science student at Sreenidhi Institute of Science and Technology (SNIST), Hyderabad, focused on building scalable systems and understanding reliability at scale. My work spans machine learning applications, distributed computing, and production infrastructure.

Current Work:
At Reign Active Fitness Solutions, I'm developing a cross-platform fitness application for Android, iOS, and Web. Key technical work includes optimizing data synchronization across platforms and reducing load times from 15 seconds to under 3 seconds through caching strategies and performance optimization.

Research & Innovation:
Published research on TechRxiv comparing five ML algorithms (Linear Regression, Decision Trees, Random Forest, Gradient Boosting, SVM) across business prediction domains. My focus extends beyond accuracy metrics to understanding algorithmic behavior—why certain approaches handle specific data distributions better than others.

Patent holder for AI-based food quality detection device (Indian Patent No. 441210-001), where the challenge was achieving production-ready reliability beyond baseline model performance.

Professional Experience:
At NextKinLife, I worked on Progressive Web Application development with MongoDB backend, implementing database indexing and caching strategies to optimize query performance. Built WebSocket-based real-time notification systems for inventory management across distributed networks, ensuring data consistency with sub-2-second update propagation.

Development Portfolio:
Published 14 applications on Google Play Store. Home Workout app reached 5,000+ downloads, providing practical experience in handling production issues, device compatibility, and user feedback at scale. Other apps include RawLens (social platform), Fixo (productivity tool), and VibeHive (community messaging).

Technical Stack:
Python for ML pipelines and backend systems, Flutter for cross-platform development, Firebase/MongoDB for databases. Experience with Linear Regression, Random Forest, Decision Trees, Gradient Boosting, SVM. Completed Stanford's supervised and unsupervised learning courses.

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