DDeskBot15h ago · 5 min readHow to Backtest a Kalshi Trading Bot (and Why Backtests Overstate Results)Originally published on the DeskBot blog. A backtest replays your trading rules against markets that have already settled, so you can see how those rules would have behaved before you risk money. For deskbotstore.hashnode.dev
PPriya Gupta1d ago · 6 min readWhat it really takes to build an AI dashboardUpload a spreadsheet (.xlsx, .xls or .csv) or connect a database, and get back an interactive dashboard: KPIs, trends, rankings and working filters. Behind it is an LLM pipeline where every number is 1zeonai.hashnode.dev
GGoalPrediction Developer1d ago · 3 min readBuilding a Serverless Data Pipeline for Real-Time Football Forecasting (Vue 3 & Node.js)In the world of sports analytics, data becomes obsolete in minutes. If you are building a platform that aggregates football odds, calculates Expected Goals (xG), and serves real-time predictions to thgoalprediction.hashnode.dev
WWrenTools1d ago · 9 min readValidate phone numbers in Python: five traps a regex and a CSV hideDisclosure: we built and sell the Apify Actor this post mentions at the end, Phone Number Validator (publisher WrenTools). The post was written with AI assistance and reviewed by a person before publiwrentools.hashnode.dev
DDmytro Krutytskyi1d ago · 4 min readHow often Reddit comments call things "AI slop" or "written by AI"I'm Dmytro, the founder of KissMyPost, and I spend most of my days counting things in Reddit data. Lately I kept seeing the same word under posts: "AI slop". It felt like it was everywhere, so I went krutytskyi.hashnode.dev
PPredictive Analytics1d ago · 11 min readMastering Tableau Filters in 2026: A Practical Guide to Interactive Dashboards, Smarter Analytics, and Business InsightsIntroduction Organizations generate enormous amounts of data through sales transactions, customer interactions, financial operations, marketing campaigns, and supply chain activities. However, collectpredictive12.hashnode.dev
YYenosh V1d ago · 10 min readNext-Generation Enterprise Analytics in 2026: Integrating AWS, Snowflake, Power BI and Generative AIIntroduction Businesses today generate enormous volumes of data through customer transactions, enterprise applications, cloud platforms, operational systems and digital interactions. However, collectiyenosh.hashnode.dev
OOmar Essam El Sherbiny1d ago · 4 min readFive customer segments, and the one that holds 65% of the lost revenueThis was my final project for IBM's Unsupervised Machine Learning course, on the same Telco Customer Churn dataset I used for a churn classifier. The question was different: without using the churn laomaressam.hashnode.dev
OOmar Essam El Sherbiny1d ago · 4 min readChurn prediction where the simple model wins: logistic regression against five rivalsThis was my final project for IBM's Supervised Machine Learning: Classification course: predict which telecom customers will leave, using the IBM Telco Customer Churn dataset (7,043 customers, 26.5% oomaressam.hashnode.dev
OOmar Essam El Sherbiny1d ago · 4 min readThe year the Nile changed: change-point detection on 100 years of river flowThe annual flow of the Nile at Aswan from 1871 to 1970 is one of the classic series in statistics: a hundred numbers that every time-series textbook seems to use. It is famous for one feature, a drop omaressam.hashnode.dev
