Promptdash
A repository-aware funnel analytics workspace that scans approved code for candidate user actions, maps them to an owner-reviewed event contract, generates a bounded pull-request diff and tests, and exposes tenant-scoped read plus draft-instrumentation tools to coding agents while keeping detection, schema approval, code review, merge, deployment, consent, event receipt, metric calculation, diagnosis, product decision, and outcome separate.
Product teams miss funnel events or ship inconsistent names, properties, consent behavior, and identity joins. Promptdash turns instrumentation into a source-controlled proposal rather than a black-box tracker. A code scan does not identify every meaningful action, a generated event is not approved or deployed, a merged diff does not prove runtime delivery, event receipt does not prove a human action, a funnel change does not prove causality, and an agent with read access does not gain write authority. Repository access, candidate action, metric contract, privacy review, pull request, human approval, merge, deployment, runtime readback, event quality, analysis, recommendation, experiment, outcome, rollback, and correction remain distinct.
A solo founder, product engineer, growth engineer, analytics owner, or small product team that wants trustworthy funnels but lacks time for repeated manual instrumentation and governance.
Founders and small product teams have a concrete missing-instrumentation problem and a clear manual alternative.
Code scanners, schema contracts, tests, agent tools, query templates, and evaluations scale through software.
Two cross-references, two inbound connections, and two direct connections provide balanced graph corroboration.
Two cross-references, two inbound and two direct connections, a live first mover with bidirectional agent tools, a large analytics incumbent lacking the supplied agent surface, a concrete founder buyer, and a plausible reviewable repository-diff wedge support the direction.
The first mover already implements much of the source concept, no structural copying cost is proven, framework-agnostic code scanning is difficult, instrumentation creates privacy and data-quality risk, repository write access is sensitive, event analytics is crowded, and the differentiation may be only workflow depth.
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