Definition
Feeder database
A source table that collects raw inputs, such as news, transcripts, or captured ideas, before processing begins.
From the episode “What It Do: First-Time Founders Build Product, He Built a Distribution Robot”Hear it on the podcast1 episode
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Related terms in Product & Engineering
Factory resetWiping a device to default settings, which generates new device identifiers and lets fraudsters dodge detection blocks. Now takes about 30 seconds on an iPhone.FDE (Forward Deployed Engineer)An engineer embedded with a client to build custom, configured solutions on site. The model was popularized by Palantir.FEAFinite Element Analysis — simulating how a design behaves physically under stress, heat, or pressure by dividing it into small elements and solving equations across each one.Feedback loopCustomer reviews that continually refine future recommendations.FHIR (Fast Healthcare Interoperability Resources)The HL7 data standard that lets third-party apps pull patient records out of EHR systems like Epic. Savva was built on top of this standard, and Stephen's previous company Protocol First was the first FHIR app approved for FDA clinical trial submissions.Forward Deployed EngineeringAn enterprise go-to-market model in which engineers are embedded directly with the customer post-sale to accelerate implementation, drive adoption, and establish time-to-value. Knapsack adopted this model after discovering that enterprise clients were stalling 4–6 months after signing — not because the product didn't work but because implementation required internal IT resources the customer hadn't budgeted. Forward deployment removes that friction by making the vendor's engineers the implementation team.Fragmented DataScattered photos, chats, and media stored across platforms without structure.Git WorktreesA Git feature that allows multiple working copies of the same repository to exist simultaneously on the filesystem, each checked out to a different branch. In AI-native development, worktrees enable parallel agent execution: separate agents work on separate requirements within the same codebase simultaneously, each on its own branch, without interfering with each other. Tyler describes worktrees as 'magic' for velocity — you're not waiting for one task to complete before starting the next. When all branches pass testing, they merge sequentially. Worktrees transform sequential agent workflows into parallel pipelines.