Dashloom
Self-hosted product intelligence workspace that unifies traffic, revenue, and infrastructure metrics with BYOK AI agents and reports.
Dashloom is a self-hosted product intelligence workspace for people who operate one digital product or a portfolio of them. It pulls traffic, revenue, search, and infrastructure metrics into a single place: Google Analytics and Search Console, Bing Webmaster, Stripe, Lemon Squeezy, Creem, Polar, Paddle, Cloudflare Workers, R2, Pages and Queues, GitHub, Vercel, guided Cloudflare D1 aggregates, custom REST endpoints, and a metric ingestion API. Each product keeps its own connectors, goals, competitors, dashboards, agent analyses, actions, and schedules.
On top of that data, Dashloom calculates comparable metrics first and then asks a specialist agent to explain the movement, with every conclusion linked back to the evidence it used. Five specialists cover indie hacker portfolios, SaaS revenue, SEO growth, infrastructure operations, and agency client reporting. Findings can become tracked actions or Growth Missions with a frozen baseline, target, owner, and deadline. Signal Radar surfaces period-over-period changes, successful analyses can be turned into saved dashboards, and dashboards can be scheduled as reports or shared through read-only links.
Compared with Databox, Geckoboard, or Klipfolio, the difference is ownership: Dashloom is MIT-licensed and runs on infrastructure you control, either on Cloudflare Workers with D1 or as Next.js on Vercel or AWS backed by Cloudflare Remote D1 or Supabase PostgreSQL. The AI layer is BYOK — you connect an OpenAI-compatible model and credentials are encrypted server-side, so there is no managed model allowance to buy. In exchange you handle deployment, upgrades, backups, email delivery, and scheduled jobs, and there is no official Docker image.
