Biweekly AI Product Growth Teardown2026-06-28ChatGPT's growth playbook: 800M weekly users, 7M work seats, and the consumer-to-work ladderA teardown of how ChatGPT turns broad consumer familiarity into business adoption, keeps users through accumulated context and workplace integrations, and monetizes with a ladder from free use to enterprise controls and commerce fees.
Biweekly AI Product Growth Teardown2026-06-27Deepgram's growth playbook: $1.3B valuation, 200,000 developers, and the voice-infrastructure wedgeA teardown of how Deepgram turns developer adoption into enterprise voice AI infrastructure, retains customers through production latency and compliance dependencies, and monetizes with a usage-to-enterprise pricing ladder.
Biweekly AI Product Growth Teardown2026-06-26CodeRabbit's growth playbook: $40M estimated ARR, 6M repositories, and the PR bottleneck wedgeA teardown of how CodeRabbit turned AI-generated code's review bottleneck into a growth wedge, retained teams by becoming the first quality gate before merge, and monetized through active PR-author seats, usage add-ons, and enterprise controls.
Biweekly AI Product Growth Teardown2026-06-24Luma AI's growth playbook: $900M funding, Ray3, and the credits-to-studio ladderA teardown of how Luma AI turns shareable AI video outputs into creator acquisition, retains serious users through controllable production workflows, and monetizes with credits, subscriptions, API access, and enterprise tiers.
Biweekly AI Product Growth Teardown2026-06-22Lovable's growth playbook: $500M run rate, 50M projects, and the credit ladderA teardown of how Lovable turned natural-language app creation into a growth loop: acquisition through shareable prototypes, retention through agentic maintenance and enterprise governance, and monetization through credits that scale with workload complexity.
Biweekly AI Product Growth Teardown2026-06-21Fireflies.ai's growth playbook: $1B valuation, 20M users, and the meeting memory wedgeA teardown of how Fireflies.ai grew through a meeting-first acquisition wedge, retained users by turning calls into searchable workplace memory, and monetized through a per-seat ladder plus AI credits and enterprise controls.
Biweekly AI Product Growth Teardown2026-06-20Glean: how enterprise search became the Work AI context layerA growth teardown of Glean's move from enterprise search into Work AI: the acquisition wedge, context-graph retention loop, Enterprise Flex monetization, and what builders can copy.
Biweekly AI Product Growth Teardown2026-06-19Photoroom's growth playbook: estimated $94M ARR, 150M downloads, and the catalog automation wedgeHow Photoroom turned a background remover into an e-commerce visual production system: a simple acquisition wedge, catalog-level retention, and a pricing ladder that expands from subscriptions to API usage and enterprise contracts.
Biweekly AI Product Growth Teardown2026-06-18Harvey's growth playbook: $100M ARR, 142,000 legal professionals, and the workflow moat inside legal AIHow Harvey turned legal AI into an enterprise workflow platform: prospect-specific demos for acquisition, documents and custom workflows for retention, and seat-led monetization that can move toward outcome pricing.
Biweekly AI Product Growth Teardown2026-06-17GitHub Copilot's growth playbook: 20M users, 90% of Fortune 100, and the distribution moat inside GitHubHow GitHub Copilot turned GitHub and the IDE into its acquisition channel, made repository context and agent workflows sticky, and shifted monetization from simple per-seat SaaS into seats plus AI Credits.
Biweekly AI Product Growth Teardown2026-06-16Synthesia's growth playbook: $100M ARR, 90% of Fortune 100, and the training wedge inside AI videoHow Synthesia turned AI video from a demo surface into an enterprise training workflow: self-serve acquisition, content-system retention, and credit-plus-enterprise monetization.
Biweekly AI Product Growth Teardown2026-06-15Runway's growth playbook: $860M raised, Adobe as a distribution channel, and the studio bet that changes media economicsHow Runway grew from a rotoscoping tool to a $5.3 billion company used by every major film studio — by turning competitors into distribution partners, training custom models that make switching painful, and building a dual revenue model that scales with both subscriptions and API consumption.
