PostHog vs Tableau

Build vs Buy: Cookie Banner for React/Next.js

This technical guide compares building a custom cookie banner versus using a consent management platform (CMP) for React and Next.js applications. It argues teams should build their own banner only when requirements are narrow and the engineering team is prepared to maintain consent infrastructure over time. The article highlights key responsibilities of production consent systems — script gating, preference storage, withdrawal support, regional behaviour, and durable records — and presents c15t as a developer-first CMP that supports hosted, self-hosted, and browser-only deployments. Inth is named as a managed hosting provider for c15t. The guide stresses that script gating and backend persistence are critical when auditability and regulatory accountability (e.g., GDPR/UK rules) matter.

• The article recommends building a custom cookie banner only if requirements are narrow and the team is prepared to maintain the logic over time.
• c15t is described as a developer-first consent management platform that supports hosted, self-hosted, and browser-only deployments.
• Inth provides a managed hosted deployment option for c15t teams that do not want to operate the backend themselves.

Developer Builds AI Alt-Text Generator for WordPress

A developer built an AI-powered alt-text generator for WordPress to automate descriptive image alt text generation and reduce manual workload. The project evolved into a production-ready plugin with a stack including WordPress/PHP, JavaScript, Node.js, Render, Supabase, Stripe, and PostHog, plus an external AI vision service. Key engineering lessons cover clear telemetry semantics (job-level vs item-level events), deduplication strategies using stable PostHog insert IDs and event ownership, correlation IDs for cross-system tracing, privacy-by-default telemetry (strip PII and content), and controlled internal error taxonomies. The article emphasizes that reliability (authentication, billing, idempotent webhooks, privacy-safe analytics, observability) matters as much as the AI feature itself.

• The author built an AI alt-text generator as a WordPress plugin to automate descriptive alt text creation for images.
• Plugin capabilities include single-image generation, bulk processing of missing alt text, saving generated text into WordPress, usage/quota tracking, and user review before applying text.
• Architecture stack includes WordPress/PHP, JavaScript, Node.js backend, Render for hosting, Supabase for accounts/entitlements, Stripe for subscriptions, PostHog for analytics, and an AI vision service for image analysis.

How to Build a Tableau Dashboard and Story

Step-by-step tutorial showing how to create a published Tableau dashboard and a three-point narrative story from a real dataset. The guide uses the Telco Customer Churn dataset (7,043 customers) and a public GitHub repo for data-shaping code. It stresses shaping data upstream (one row per entity, 1/0 outcome column, readable names, ordered buckets), creating a single calculated field for rates (Churn Rate = AVG([Churned])), building four focused worksheets (one point each), assembling them into a dashboard, and sequencing three story points (problem, mechanism, action). It explains Tableau Public publishing requirements (workbooks must use extracts) and gives practical UI steps and common error fixes. The guide also covers visual rules (one-accent color, bar chart accuracy) and advises documenting limitations when publishing.

• Worked example uses the Telco Customer Churn dataset on Kaggle with 7,043 customers (one row per customer).
• Author provides a public GitHub repository (telco-churn-analysis) containing the Python script that shapes the data for the example.
• Recommended calculated field for the rate: Churn Rate = AVG([Churned]) (1/0 column average).

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