Effortless in-app purchase management and revenue growth for mobile and beyond
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Updated
Apr 8, 2026 - Swift
Effortless in-app purchase management and revenue growth for mobile and beyond
Open-source, local-first usage and subscription analytics for AI coding agents — tokens, costs, activity, quotas, and optional privacy-controlled sync.
Data models for Fivetran's Zuora transformation package, built using dbt.
MRR tracker for the macOS menu bar — free and open source. One total from Stripe, RevenueCat, Paddle, Lemon Squeezy, Polar, Dodo Payments and Gumroad. No account, no server: your API keys stay in the macOS Keychain.
Why manual SaaS analytics tools waste your time — and how Chartsy fixes it all in one place.
BigQuery SQL for transforming subscription data into customer-level MRR movements and a reconciled monthly bridge.
A Power BI cohort retention heatmap analyzing monthly subscriber churn trends from September 2022 to September 2023.
Backend for SaaSfit, turning Stripe billing data into deterministic signals, evidence-based diagnoses, prioritized actions, and founder-ready reports.
Admin reporting for WooCommerce Subscriptions — active, churn & MRR trends with charts, immutable monthly snapshots, CSV export, scheduled email, and a REST/CLI API.
Alternative-data methods for independent TMT research: entity resolution, panel measurement, pipelines, and dashboards.
Cohort-driven subscriber forecasting with Weibull survival, SARIMA gross adds, and cohort stacking
Python toolkit for simulating SaaS subscriptions and analyzing business metrics using the Razorpay API in test mode
Subscription metrics semantic layer: dbt models, documented definitions, and a harness measuring how wrong the plausible answer is.
Subscription churn analysis using SQL to evaluate price-rise impact and cohort trends
AI-powered subscription health monitor using RevenueCat Charts API
📊 Aether Analytics | Interactive Power BI Sales & Revenue Dashboard for customer insights, category performance, seasonal trends, subscription analysis, and business intelligence. Project Workflow: Raw Dataset → Data Cleaning → Feature Engineering (SQL) → Data Modeling → Power BI Dashboard
SQL, Python and Power BI project analysing SaaS churn drivers, revenue-at-risk and retention opportunities.
Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.
Excel-based telecom customer churn dashboard with KPIs, pivot tables, and interactive slicers.
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