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What if every release told you what to build next?

Deploy your app. Understand and test what users want. Ship what moves the needle.

withparcel deploy — bigbro
$ withparcel deploy --app bigbro
 
Connecting to GitHub... done
Building from main @ a3f82c1
Detected 12 customer configurations
 
Deploying to production...
Customer routing configured (12 customers)
Signal collection initialized
Preview environments ready
 
Live at bigbro.withparcel.app
3 new observations detected since last deploy
1 opportunity in ready for review at bigbro-a27319.withparcel.app

How Parcel works

Deploy. Learn. Adapt.

Three layers that turn customer signals into governed product evolution.

Step 1

Deploy & Host

Push to GitHub. Parcel builds, deploys, and routes your app with environments, previews, and rollbacks built in.

GitHubCI/CDEnvironments
Step 2

Observe & Understand

Signals flow in from Intercom, Linear, usage analytics, and session data. AI clusters related requests and spots the patterns you'd miss.

IntercomLinearAnalyticsSession data
Step 3

Act & Evolve

Test proposed changes on real customer cohorts. Measure outcomes. Then decide: adopt into core product, or drop.

Cohort testsAdopt or Drop

Deployment

Ship from anywhere.

Git push, CLI, or your AI agent. Every PR gets a preview.

Push to deploy

Connect your GitHub repo. Every push to main goes live. Rollback to any version instantly.

git push origin main
Deployed to production

Deploy from anywhere

Use the CLI, your editor, or let your AI agent handle it. One command, same result.

Terminal
Claude CodeClaude Code
CursorCursor
CodexCodex

Every PR gets a preview

Open a pull request and Parcel builds a preview automatically. Share it, test it, merge when ready.

LIVEpr-142.bigbro.withparcel.app

From noise to clarity

See the pattern behind the requests

One customer files a bug. Another requests a feature. A third builds a workaround. Parcel connects to all your internal tools to find the core missing abstraction.

The AI makes the first call. You make the final one.

Goes where your data is

Intercom
Linear
Asana
Customer A / Feature requestAdd job categories
Customer B / Feature requestWe need service classes
Customer E / WorkaroundUsing labels as workaround
Customer C / Feature requestSort by work type
Customer D / Usage patternFiltering by custom fields
Customer F / Feature requestDark mode support
Customer A / Bug reportSlow page load on dashboard
Customer C / Feature requestAdd SSO support
Missing:Job Types

The closed loop

From signal to shipped.

Parcel spots the opportunity. You decide what to do about it.

Parcel Dashboard

Parcel found something worth looking at

Signals from different channels point to the same gap. Parcel packages the evidence into an opportunity brief so you can decide fast.

Opportunity

Job Types

5 tenants affected
Session recording3
Feature request2
Workaround detected1

Based on 15 days of signals across Intercom, Linear, and session data