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Showing 21–25 of 25 dossiers
beehiiv has documented the economics and guardrails behind its rebuilt Recommendation Network, including the 20% fee on paid recommendations, verified-subscriber charging, quality-based auto-pause rules and more granular control over recommendation slots and partner selection.
The study moves the AI-search traffic debate beyond observational correlations: participants were randomly assigned to current Google Search, a version with AI features hidden, or AI Mode-only search during ordinary browsing. It is still a preprint and does not establish effects for every query or publisher.
Patreon is no longer only a destination for fans who already know a creator: most creators now have access to a discovery feed and public-post funnel, with vendor-reported membership gains suggesting distribution inside Patreon is becoming a meaningful acquisition channel.
Neon’s beta backend now combines Postgres branches with Node.js Functions and S3-compatible Object Storage that inherit branch semantics. For builders, that makes ephemeral preview/test environments more complete: database state, backend code and object data can move together instead of requiring separate production-adjacent services.
Zipchat is useful as an operating case study, not a comeback story. Founder-reported figures show how a prior platform dependency failure influenced a new AI SaaS model built around reply-based pricing, channel diversification, revenue-based financing and tighter hiring discipline.