Find published research by company, product, platform or technology.
Showing 1–20 of 56 dossiers
Holiday subscription offers correlate with more payers, but lower revenue per buyer and substantial selection bias complicate the economics. Christmas-only offers show no clear advantage.
A 50M+ subscription cohort gives AI SaaS builders a more useful retention benchmark than conversion anecdotes: high-retention monthly apps renew 57.9% of subscribers at the first opportunity versus 30.2% for low retainers, with the gap narrowing later. The study is observational, not causal.
GitHub Enterprise customers can trade Copilot seat fees for usage-only billing. The key catch: zero included credits, staged eligibility and voluntary migration.
Apple’s EU payment rules are operational, not future-tense. RevenueCat reduces transaction reporting work for eligible alternative checkouts; the fees, App Review, 12-month commitment and uncertain in-app-sheet rollout remain.
Demand Gen is becoming a broader acquisition system rather than only a visual campaign type: advertisers can test conversational lead capture, travel offers tied to destination context and AI-assisted horizontal/vertical video production from one campaign surface.
Copilot now offers model-reviewed action approvals between manual and Allow All. Unlike OS sandboxing, this probabilistic gate can approve unsafe operations; unattended CLI flags may leave unexpectedly broad permissions.
Google Analytics hostname allowlists reduce some ghost-traffic cleanup, but server-side Measurement Protocol events bypass the filter. Teams must distinguish browser collection from Measurement Protocol and test empty-hostname events.
Beam makes a large agent-focused model commercially reusable without a bespoke licence, but the open weights are not a small local download.
The platform now offers an objective-oriented /goal interface as well as Custom Flows; availability depends on GitLab 19.3+, Duo CLI 9.17+ and eligible tiers.
The August opt-out is over. App Engine's current documentation warns of permanent legacy-TLS blocks and directs affected operators to Support; hostname-specific tests remain essential.
Training experiments and batch inference can use Together AI's discounted preemptible GPUs in existing clusters. Workloads must checkpoint or requeue on interruption, and at least one standard node is required.
Automated promotions make the advertiser's own website a source for ad assets. Google can find an offer, validate it and surface it without a marketer manually creating the promotion.
This is a hard capability removal rather than a routine model migration. Products built on OpenAI’s video-generation API now need another provider or a redesigned video path because the official deprecation table offers no successor endpoint.
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.
Supabase Pipelines turns Postgres WAL into a managed analytics feed for BigQuery. It isolates analytical workloads from production, but public-alpha pricing, Frankfurt-hosted pipeline infrastructure and destination constraints matter before adoption.
Meta has made the privacy-versus-price trade explicit in its Model API: developers can choose standard pricing or a contributor model ID with steeply discounted inference in exchange for training-data permission. The choice matters for proprietary code, customer data and AI SaaS workloads.
Jalapeño is working first-party silicon rather than a roadmap item, and OpenAI now says AI itself materially accelerated the design process. The distinction still matters: tape-out means the design was finalized for manufacturing; it does not mean fleet-scale production qualification or API deployment is complete.
Google Ads API v26 begins a twice-monthly update cadence. Minor releases remain additive and sunset with their major version, so developers need a faster discovery workflow rather than twice as many breaking migrations.
The concrete API price and access limits close a key gap in the October launch: developers can cost Wonder through Model API but must not confuse maximum reasoning effort with Wonder Full.
Reddit has moved the $1,000 Developer Platform app-porting bounty cutoff to November 30 in its live portal. The separate API migration deadlines remain January 12 and March 2027, with RSS ending November 13.