Products
12Across one workspaceTurn every product signal
into your next move.
Connect operations, acquisition, search, revenue, and competitor data. Dashloom's specialized agents explain what changed, why it matters, and what to do next.
Both paths start free · No credit card required for Cloud Free.
Workspace overview
Good morning, Alex.
New users
3,482+18.7% this monthPaying users
1,245+14.2% this monthRevenue
$128.6K+22.4% this monthSearch traffic rose after three pages entered the top 10, while Pulse Monitor's error rate needs attention. Review 4 evidence-linked findings.
Global trend
Core metrics across every product
Product performance
Users, revenue, and traffic at a glance
Connect the business data
that drives real decisions.
Bring search, users, orders, subscriptions, revenue, and database facts into Dashloom Cloud. Every connection validates read-only access before the Agent analyzes it in one evidence layer.
See where users come from and how search performance changes.
Google Analytics 4 + Search Console
Users, sessions, views, clicks, impressions, CTR, and positions
Bing Webmaster
Clicks, impressions, CTR, average positions, and verified sites
Unify revenue, refunds, and customer changes across payment platforms.
Stripe
Revenue, refunds, MRR, paying customers, and trials
Lemon Squeezy
Revenue, refunds, MRR, paying customers, and trials
Paddle
Revenue, refunds, chargebacks, transactions, and subscription transactions
Polar
Revenue, refunds, orders, and product scope
Creem
Revenue, refunds, transactions, and chargebacks
Read operating facts already stored by your app and map them into analyzable business metrics.
Cloudflare D1
Read-only aggregate queries for signups, active users, subscriptions, orders, revenue, and refunds
Supabase Database
Controlled views for users, subscriptions, orders, revenue, and business events
Connect runtime, storage, queues, repositories, and deployment evidence with separate read-only authorization.
Cloudflare Workers
Requests, errors, CPU time, and runtime health
Cloudflare R2
Bucket analytics and error evidence without object contents
Cloudflare Pages
Deployment outcomes and delivery health
Cloudflare Queues
Backlog, oldest-message age, and paused state
GitHub
Repository activity and delivery health without source code storage
Vercel
Project deployment summaries and delivery health
Connect through a clear metric contract even when no packaged connector exists.
Custom REST
Pull normalized metrics from an endpoint you control
Direct Metrics API
Push metrics from a server, script, or data pipeline
The documentation lists least-privilege access, query boundaries, field mapping, metric semantics, and common errors for every source.
Detect the change, investigate why,
then drive the next move.
Follow one concrete example: start from a search growth signal, validate the opportunity through evidence, and turn the recommendation into trackable work.
The Agent finds the signals that actually deserve attention.
For example, Search Console shows three high-intent pages entering the top 10 while GA4 organic signups rise 24%. The Agent identifies a growth opportunity instead of merely displaying two charts.
- Detect changes across Google, revenue, and product signals
- Use freshness to exclude stale conclusions
- Prioritize investigations by likely impact
The Agent follows the evidence instead of jumping to a conclusion.
It checks pages, queries, conversion, and revenue, separates confirmed facts from hypotheses, and keeps every important conclusion traceable to a concrete source.
- Cite product, metric, time range, and Evidence ID
- Separate facts, correlation, and hypotheses
- Compare 2–4 models on identical evidence
The Agent turns a decision into work and keeps checking the result.
For example, it proposes expanding three high-converting pages, creates a Growth Mission with an owner, and then monitors whether signups and revenue truly improve.
- Create editable recommendations and Growth Missions
- Review outcomes daily, weekly, or monthly
- Deliver through email, Slack, Discord, or webhook
Connect data.
Let the Agent keep moving.
Connection is only the start. The Agent handles routine monitoring, evidence investigation, action recommendations, and outcome review.
Connect a product
Create a product and enter its domain. Connect existing tools with OAuth, a read-only key, or a least-privilege token; Dashloom validates credentials before discovering resources to map.
Let the Agent investigate
After the first sync, the Agent detects material changes, combines related metrics, cites sources, and explains why the change deserves attention.
Act and track
After checking the evidence, turn the recommendation into a Growth Mission. The Agent reviews the metrics on schedule and reports whether the expected result appeared.
From the first connection
to reliable operation.
Follow source-specific connection guides, then continue into Agents, automated reports, Growth Missions, collaboration, deployment, and data control.
One data layer.
Five ways to grow.
Start with the dashboard that matches your operating model. Enable more views without importing the same data twice.
Portfolio Analyst
Products, traffic, revenue, and operations
Explore capability →Revenue Analyst
MRR, churn, retention, and expansion
Explore capability →SEO Growth Analyst
Queries, pages, rankings, and competitors
Explore capability →Operations Analyst
Runtime, queues, storage, repositories, deployments, and databases
Explore capability →Client Reporting Analyst
Client KPIs, anomalies, and recurring delivery
Explore capability →Go beyond seeing data.
Understand what changed.
Ask with evidence
Every important answer links back to products, metrics, periods, sources, and data freshness—not a confident guess.
Wake up to the brief
Agents monitor changes and prepare daily, weekly, and monthly reports for email, Slack, Discord, or webhooks.
Choose and compare models
Self-host with your own OpenAI-compatible APIs, compare 2–4 models on identical evidence, or use managed AI allowances in Dashloom Cloud.
Bring the infrastructure and data
your business already uses.
Dashloom is not tied to one cloud. Deploy the Community edition on your preferred runtime and database, then combine search, analytics, billing, product, and infrastructure evidence in one workspace.
Flexible runtime: Cloudflare Workers, Vercel, AWS, or another compatible Next.js host
Flexible storage: D1 or Supabase PostgreSQL, with multiple business data sources connected after sign-in
Read the installation README →Start free. Choose who
operates the platform.
Self-host for maximum control, use Cloud Free for the fastest start, or upgrade Cloud when you need more products, automation, AI capacity, and collaboration.
Own the deployment.
Free MIT license
Run natively on Cloudflare, or deploy Next.js to Vercel / AWS with Remote D1 or Supabase PostgreSQL, then connect your own OpenAI-compatible model.
- Full control over infrastructure and data location
- No Dashloom Cloud subscription
- Customize and extend the source code
- You manage deployment, upgrades, backups, email, schedules, and AI billing
Start in minutes.
$0 / month
Use the hosted product without deploying infrastructure or configuring your own model.
- 3 products and 1 workspace member
- 3 managed AI runs per day
- 1 scheduled report and daily data sync
- 30-day metric retention
Scale the operating rhythm.
From $9 / month
Solo, Studio, and Agency plans increase capacity and unlock faster automation and team workflows.
- 10–200 products and up to 30 members
- 25–300 managed AI runs per day
- Hourly or 15-minute sync intervals
- Advanced delivery, alerts, collaboration, and agency workflows
The product intelligence model is shared across versions. The main difference is who operates the service and how much managed capacity, automation, collaboration, and support are included. See exact limits and pricing →
Good questions.
Clear answers.
Still deciding whether Dashloom fits your workflow? Start here, then explore the docs.
Read the documentation →What is Dashloom?+
Dashloom is an open-source product intelligence platform for people operating one or many digital products. It combines dashboards, connected business data, specialized AI agents, scheduled reports, and action tracking.
Who is it built for?+
It is designed for indie hackers, SaaS teams, Cloudflare operators, SEO-led businesses, and agencies that need one clear view across products or clients.
How is this different from a BI dashboard?+
A traditional dashboard helps you inspect charts. Dashloom also investigates changes across sources, explains its evidence, prepares recurring briefs, and connects findings to follow-up actions.
Can I self-host it?+
Yes. The Community edition is open source and supports your own deployment plus an OpenAI-compatible API. Dashloom Cloud adds managed AI, schedules, delivery, collaboration, and hosted operations.
Which version should I choose?+
Choose self-hosting for infrastructure control and customization, Cloud Free for the fastest zero-cost start, or a paid Cloud plan when you need more capacity, faster sync, automation, collaboration, alerts, or agency workflows.
Which data sources are supported?+
Dashloom supports product, analytics, search, billing, and infrastructure sources, including Cloudflare Workers, R2, Pages and Queues, Google Analytics, Search Console, Bing Webmaster, Stripe, Paddle, Polar, Lemon Squeezy, Creem, Supabase, GitHub, Vercel, and custom REST connectors.
Do I have to trust an AI answer blindly?+
No. Important findings carry product, metric, time-window, source, and freshness context so you can inspect the evidence before acting.
Stop checking dashboards.
Start operating with answers.
Connect your first product, choose the view that matches your business, and let Dashloom turn scattered signals into a clear next step.
