Okiela
Profit & pricing insights in 30 seconds, not 30 hours
What it does
👋 I'm Dai — Vietnamese finance pro, zero coding skills. E-commerce founders lose 15-25% profit in spreadsheet chaos (30h/month). Okiela fixes this: Upload CSV → AI analyzes → Profit dashboard in 30 seconds. KEY FEATURES 🔷 5D AI Pipeline 📊 Instant dashboards (no SQL) 🤖 Natural language Q&A 💰 Free, Pro $29/mo RESULTS • 99.8% accuracy • 250+ users, 18 countries • 18% profit boost Built solo with AI. 1,944 commits. Try free: okiela.io 🚀
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Hi HN, Here is the open source repo of the data pipelines built in dbt to model profitability at the level of an order. Covers sources like: Shopify, Facebook Ads, Fedex, Paypal, Manufacturing Costs, VAT etc. Benefits for ecomm - Precise Granular Revenue and Profit analysis at the level of orders. - Template to automate Profits calculation saving you 100s hours of manual work in Excel or GSheet. - Increase ROI on Paid Marketing: By understanding hidden costs like VAT and shipping, you can make smarter decisions on ad spend across different countries. Hope this is useful!
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After analyzing 9 years of HN side project posts, I found some counter-intuitive patterns about what makes projects profitable. Three things that stood out: 1. B2B dominates: 73% of $500+/month projects target businesses, not consumers 2. Speed matters more than polish: Average 47 days from launch to first sale. Most started charging with 3-5 core features. 3. Pricing cluster: 87% price between $20-49. Low enough for impulse purchase, high enough to be sustainable. I compiled this into a dataset of nearly 700 projects with tech stack, pricing, and timeline data. Built it because I was…
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