PostHog vs ScalePost

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.

ScalePost launches About page with team and advisors, announces Awin partnership

ScalePost's about page now lists CEO Ahmed Malik, Head of Partnerships Gregory Love, engineers Matt Rkiouak and Siméon Ferez, and advisors including Siri co-founder Adam Cheyer, former Fast Company CEO Eric Schurenberg, and CNBC founder Tom Rogers. The page also features a press release about a partnership with Awin to expand discovery intelligence.

Awin Expands Discovery Intelligence with AI Visibility

Awin announced on 1 July 2026 a set of platform enhancements and a new partnership to measure and improve brand visibility inside AI-driven discovery experiences. The global marketing-technology company revealed a collaboration with ScalePost and additional collaborations with Peec.ai and Profound to capture first-party AI citation data and link those signals to conversion metrics. Awin is launching platform features including “AI Visibility” and “Smart Search” to show when and how brands appear in AI applications, help publishers understand their contribution to discovery, and speed publisher partner selection via natural-language search. The move responds to rising “zero-click” AI answers in search and aims to give advertisers clearer, first-party measurement of AI-driven discovery across the customer journey.

• Awin announced a partnership with ScalePost to capture first-party AI citation data and improve visibility into AI-driven brand discovery.
• Awin introduced new platform features named AI Visibility and Smart Search to measure brand appearances in AI applications and simplify publisher partner discovery.
• Awin said linking first-party citation data with its conversion signals can raise observed engagement by three- to six-fold.

Awin Expands Discovery Intelligence with ScalePost Partnership

Awin announced a partnership with ScalePost and a set of platform enhancements aimed at measuring and acting on AI-driven brand discovery. The company introduced capabilities named AI Visibility and Smart Search to show when brands are surfaced in AI-driven experiences and to help advertisers find publisher partners using natural-language prompts. ScalePost will act as an additional measurement layer, using first‑party data to record real AI citations. Awin also cited collaborations with Peec.ai and Profound to broaden influence measurement across the customer journey, and claimed that accounting for AI interactions can increase observed engagement by three to six times.

• Awin announced a partnership with ScalePost to improve measurement of AI-driven brand discovery.
• Awin introduced new platform features called AI Visibility and Smart Search to surface AI-driven discovery signals and speed partner discovery.
• ScalePost uses first‑party data to measure real AI citations and will act as an additional measurement layer.