Bumetric – Vibe-Coded AI Revenue Intelligence Platform

Bumetric is a vibe-coded web platform created to help app founders, marketers, investors, and product teams estimate mobile app revenue, analyze market signals, and discover ASO growth opportunities from one searchable interface.

The platform allows users to look up iOS and Android apps, review estimated monthly revenue, ratings, reviews, category position, revenue forecasts, and AI-generated optimization recommendations. Instead of manually collecting data from multiple sources, users can access app performance insights, growth signals, and competitive context in one centralized analytics environment.

The project was created as a vibe-coded product with a strong focus on fast validation, data-rich interfaces, AI-assisted analysis, and a clear product experience for users who need quick but meaningful app intelligence.

THE BACKGROUND

Mobile app research can be fragmented and time-consuming. Founders often need to understand how competitors perform, what revenue range an app may have, how strong its market position is, and what ASO improvements could increase visibility or conversion.

Traditional analytics tools can be expensive, closed, or too complicated for early-stage founders and small teams. At the same time, public App Store data alone does not provide enough context to estimate business potential or growth opportunities.

Bumetric was designed to bridge this gap through a vibe-coded analytics platform that combines app discovery, revenue forecasting, AI interpretation, ASO recommendations, and performance scoring.

The platform turns raw app signals into a more practical decision-making layer, helping users evaluate whether an app is growing, monetizing well, positioned strongly, or missing obvious optimization opportunities.

The Goal

The main goal was to create a vibe-coded revenue intelligence platform that makes mobile app analysis easier, faster, and more transparent.

From the product side, the platform needed to support several key flows:

• searching iOS and Android apps by name or category;
• browsing app catalogs and category rankings;
• viewing estimated revenue and forecast ranges;
• analyzing ratings, reviews, and growth signals;
• displaying app quality and investment-style scoring;
• identifying ASO improvement opportunities;
• comparing “before” and “after” AI recommendations;
• showing performance charts and historical signals;
• supporting verified MRR data and app claim logic;
• presenting complex analytics in a clean, readable interface.

A key challenge was making the product feel useful without overwhelming the user. Revenue intelligence involves many data points, but the interface needed to remain clear, structured, and easy to scan. The user should be able to open an app profile and quickly understand its current performance, forecast, risks, and potential growth actions.

THE DEVELOPMENT TEAM

The project required a compact team focused on rapid web product execution, analytics interface design, AI flow logic, and data visualization.

Since Bumetric was developed as a vibe-coded project, the team focused on quickly shaping the core product experience, validating key analytics screens, and building a usable interface around real user questions: “How much does this app make?”, “Is it growing?”, “What can be improved?”, and “How does it compare to others?”

The main areas of work included:

• web platform structure and navigation;
• app catalog and search experience;
• UI/UX design for analytics-heavy screens;
• revenue estimate and forecast presentation;
• AI-generated growth opportunity blocks;
• ASO audit and recommendation flows;
• app profile pages with performance and investment data;
• charts, rankings, and comparison sections;
• verified MRR and claim-app logic;
• testing, polishing, and public launch preparation.

Special attention was given to visual hierarchy. The platform needed to present charts, scores, revenue ranges, recommendations, and app metadata in a way that feels analytical but not overloaded.

THE RESULTS

As a result, Bumetric became a complete vibe-coded AI revenue intelligence platform for mobile apps.

The platform helps users search apps, understand estimated revenue, review performance signals, explore category rankings, and receive AI-powered ASO and growth recommendations from one place.

The final product demonstrates how vibe coding can be used to build a polished data-driven web platform with AI analysis, revenue forecasting, searchable catalogs, app profiles, and decision-support dashboards.

Bumetric is not just an app directory – it is a vibe-coded analytics product that helps founders, marketers, and investors make faster decisions about mobile app growth, monetization, and market potential.