Banza App

Your apps have been busy. Someone's been making decisions about you. And you've never been in the room. That changes. 200k+ people are already using their AI Twin to make it work for them instead. Get yours: banza.xyz/app

You’re not lazy. You just can't check everything, every time, forever. Nobody can. That was always the gap. Banza's AI Twin makes sure that whenever you buy something, you're always paying the best possible price.

You already send screenshots to two friends before buying anything. Send it to your AI Twin, and get an answer on how to get it for a better price.

Your AI Twin learns what you buy, then what you should buy, then how you can pay less for it. In that order.

The most expensive four words in online shopping: it’s fine, just buy.

Your AI Twin can now save money for you on your online purchases💸

Search engine recommendations multiply your choices. That's the opposite of help when the problem was already too many choices.

Free time stopped feeling free the moment it came with a to-decide list. Banza's AI Twin clears the list so the time goes back to being yours.

The real cost of indecision isn't the 15 minutes. It's that the 15 minutes came out of your free time, the one slot that was supposed to be yours.

Decision fatigue isn't a willpower problem. It's a structural one. Apps got brilliant at showing options and never built the part that chooses.

Netflix recommends from millions of users. Your Twin recommends from one. Bigger sample size, worse fit. True personalisation doesn't scale up. It scales down.

The difference between an assistant and a Twin: An assistant helps you decide. A Twin already knows what you'd decide.

Most AI waits to be prompted. Your Banza AI Twin watches how you live and gets there first. Reactive vs proactive is the whole difference.

Coffee went from 40 to 185. Petrol from 70 to 110. Time spent deciding what to eat: exactly the same. Some costs never change for the better. Until now.

ChatGPT answers for 400 million people. Your AI Twin answers for one. That gap is what Banza's trying to fix.

"More options" stopped being a feature a decade ago. It quietly became the problem. Your AI Twin's whole job is to give you fewer, better ones.

Every app knows one slice of you. None of them compare notes. Your AI Twin is the first thing that reads across all of them at once.

You have leftover decision fatigue from the 226 calls you already made today. Your AI Twin can take the 227th, saving you time before dinner tonight.

🚨 HIRING ALERT: Banza Engineering 🚨 We are hiring 2 engineers to materially shape the next year of our product. Both roles are Remote-first (IST); Bengaluru-based is a plus. First hire in seat within 30 days. The Roles: 💼 Applied AI Engineer We need an engineer with deep practical experience building modern AI systems, whose technical judgment will raise our team's ceiling and compress weeks of trial-and-error into sharp, well-reasoned decisions. The Work: -Ship end-to-end AI features from idea to production. -Set the bar for reliability, evaluation, and quality across AI systems. -Balance latency, cost, and quality across the inference stack. -Elevate team thinking on agentic systems, retrieval, and model behavior. -Balance where deterministic systems end and probabilistic ones begin. What We’re Looking For: - 3+ years in engineering (5+ preferred); 2+ years using AI-native systems. -Last 24 months in a lean startup or building solo with full ownership. -Shipped production AI features to real users in real-time (no demos). -Built non-trivial RAG systems; strong views on retrieval and grounding. -Comfort with evals, benchmarking, and reliable probabilistic systems. -Fluent with AI coding tools, agentic workflows, and AI-native dev. Counts in Your Favor: -Building side projects, OSS contributions, or weekend experiments outside of work. -Hackathon wins or public writing/talks on agentic systems, retrieval, or LLM evaluation. -Experience shipping consumer-facing AI features (vs. internal tooling or B2B). 💼 Product Engineer We are looking for a mid-to-senior full-stack engineer with a mobile-first center of gravity who treats shipping as a craft. This is a bandwidth and resilience hire to expand what we can ship per sprint. The Work: -Own end-to-end consumer mobile features from interaction detail through --backend services. -Contribute meaningfully to backend systems and move fluidly across the stack. -Raise the bar on shipping velocity, code quality, and product polish. What We’re Looking For: - 3+ years in engineering (5+ preferred); 2+ years using AI-native systems. -Last 24 months in a lean startup or building solo with full ownership. -Shipped at least one consumer mobile app to production. -Flutter experience strongly preferred (advances you over other candidates). -Comfortable in Node.js backend territory. -Fluent with AI coding tools, agentic workflows, and AI-native dev. Counts in Your Favor: -A genuine eye for craft, polish, and the small details that separate "shipped" from "loved." -Familiarity with JavaScript runtimes and browser internals (useful for plugin/protocol work). -Building side projects, OSS contributions, or winning hackathons. Logistics & Application: Compensation: Up to 30LPA + meaningful equity (discussed privately based on seniority). How to Apply: Download the app, comprehend Banza's AI Twin functionalities, and complete the application process here: forms.gle/rvjfmfpdyqZxbDXd9