Aptarium
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Where your team's readouts live

The last report you'll build by hand.

Your team runs on readouts — the sprint status, the pipeline review, the Monday numbers. Making one shouldn't take an afternoon, and keeping it current shouldn't take anyone's Sunday. Ask the agent you already use; Aptarium makes it a readout: an author, an as-of time, an audience, and a schedule that keeps it current.

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Cohorts invited weekly.

sprint-dashboard#mobilev12
3 of 3 reads healthy
1,284 views
jira.search_issuesproject = MOBAS VIEWERHEALTHY
jira.search_issuesboard = 42AS VIEWERHEALTHY
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Monday's edition — published with maya@acme's access, as of 09:00.

Only meSpaceOrg+ Guests
Low Every live read runs as the viewer; every edition carries a byline — no standing shared credential anywhere.
Apt, the Aptarium axolotl, at home in a glass tank
Your readouts live safely in the org's aquarium — every read attributed to a person, every edition to a byline.

The tools you already run — ten connectors, live at launch.

  • Jira
  • GitHub
  • Google Sheets
  • Salesforce
  • Linear
  • Zendesk
  • PagerDuty
  • Confluence
  • Notion
  • HubSpot
The loop you already know

One of these is your Friday. The other is a link you send once.

Before — the handmade weekly artifact
  1. Export three Salesforce reports to CSV.
  2. Reshape them in Sheets, rebuild the same four charts.
  3. Screenshot the charts into last week's slide template.
  4. Paste, caption, and email "Week 28 pipeline" to 22 people.
  5. It's wrong by Tuesday. Do it again Friday.
After — a readout that's already current

Your agent builds the readout once. Aptarium publishes it behind sign-in, reads Salesforce so each person only sees the opportunities they're already allowed to see, and publishes a fresh edition on the schedule you set, each carrying a byline — whose access it went out on, and as of when. You send the link, not the attachment. Nobody asks "which version is this?" again.

You don't have to be an engineer.

A coding agent is an AI assistant that builds software when you describe what you want in plain English — you ask, it writes and runs the work. If you already use one, you're ready; if you don't, setting one up takes a few minutes and we walk you through it. From there it's a conversation: you ask for the report, the agent builds it from a recipe that's already written, and only needs to be pointed at your own data — say, your Linear team or your support queue. Aptarium publishes the result as a readout behind sign-in. Connecting the agent is one step — nothing for you to create, copy, or paste — and if anything goes wrong, one step rolls it back. (Popular agents include Claude Code, Codex, Cursor, and Copilot; if you don't have one yet, we help you set one up.) The people who publish their first readout are usually the ones closest to the report, not the ones who write code.

See the report-owner walkthrough →
Apt the axolotl, encouraging
How it works

Three moves from a report you rebuild to a readout you don't.

  1. 01

    Connect your agent

    Give the coding agent you already use — Claude Code, Codex, Cursor, or Copilot — one line, and it connects itself to the tools your report reads from. Nothing for you to create, copy, or paste; no keys, no passwords. Don't have an agent yet? We help you set one up.

  2. 02

    Build and publish

    Ask your agent for the report. It builds an ordinary web page and connects the data it needs — GitHub for delivery, a Google Sheet for the targets; Aptarium publishes it as a readout at your own org address, behind sign-in. Every connector comes with a ready-made recipe, so the agent starts from a working report, not a blank file.

  3. 03

    Publish an edition with a byline

    Widen the audience when you're ready. Live reads stay personal — each person only sees the data they're already allowed to see. When you want one view the whole team opens, you publish an edition: a stable, dated copy that carries a byline — the person whose access it went out on, and as of when. On screen the label reads "Monday's edition — published with meera@acme.com's access, as of 09:00."

Why it holds

Five things that stay true after the Sunday-night rebuild is gone.

  1. 1

    Made in minutes.

    Every connector ships with a recipe a real team has run — sprint status from Jira or Linear, delivery from GitHub, pipeline from Salesforce, the support queue from Zendesk, on-call from PagerDuty, and anything that lives in a Google Sheet — each with loading and empty states, pagination, and provenance built in. Your agent starts from a working report, not a blank page.

  2. 2

    Alive on a schedule.

    Aptarium publishes a fresh edition on the schedule you set — "Monday's edition · by meera@acme · as of 09:00" — so it's current every time someone opens it. What you retire is the Sunday-night rebuild, not the refresh: the freshness you used to supply by hand is now a property of the readout.

  3. 3

    Everyone sees the same thing.

    An edition is one shared truth behind your org's sign-in — stable, dated, comparable week to week, and it carries a byline so no shared view is ever anonymous. Viewers need nothing but the link — no seats, no setup, free forever.

  4. 4

    Your agent connects itself.

    You give the coding agent you already have one line, and it connects itself to the tools your report reads from — no keys or passwords for you to create, copy, or paste. You bring the agent; Aptarium makes the secure connection to your data.

  5. 5

    Made like it matters.

    Any agent builds an ordinary web page your org keeps — no special software and no AI subscription has to stay running to keep it alive. Every edition carries a byline, every version is saved for good, and any mistake rolls back with one click. Reads belong to people, not service accounts: when a view is personal or sensitive, each viewer opens a live read against their own access. It outlives the chat that created it. Viewers are free, forever.

The contract

What holds, every time.

Under 15 minutes

From Google sign-in to your first shared, connected readout, starting from a shipped recipe.

No viewer seats

Invite everyone who needs the answer without changing the bill.

No shared connector identity

Everyone sees only their own data. When someone opens a live read, it shows just the data they're already allowed to see, with no shared login behind it.

A byline on every edition

Every published edition names the person whose access it went out on and the moment it went out.

Start from a complete readout

Every connector ships with a maintained recipe a real team has run — not an empty template.

Each ships with loading and empty states, pagination, stale-cache messaging, and provenance already in the box.

Sprint dashboard

Jira or Linear

Status, ownership, and the one issue that still needs an owner, ready before standup.

Delivery review

GitHub

PR velocity, review load, and what shipped this week, without exporting a thing.

Pipeline review

Salesforce or HubSpot

Stage movement, slipping deals, and the number the team actually opens on Monday.

Support queue

Zendesk

Backlog, SLA risk, and the tickets aging past their promise.

On-call & incident

PagerDuty

Who's on, what paged, and the follow-up work that trails a launch.

Weekly status readout

GitHub + Google Sheets

Delivery from your repos, goals from a sheet, and the ownership gaps worth naming — the artifact it replaces is the deck you email every Monday.

Point a recipe at your own project — a Jira board, your GitHub repos, a Google Sheet — ask your agent to build it, and share the link; the agent handles the rest. (Setup details live in the docs.)

The whole journey

One session, start to published.

It's one short back-and-forth with your agent — no setup screens, no dashboards to wire up. You connect it, ask for the report, and it goes up at a private link only you can open. When you're ready, you publish an edition the whole team can open, carrying a byline — your name and the moment it went out. That's the entire path from "I rebuild this every week" to "I sent a link once."

  1. Connect your agent — one step, nothing for you to manage.
  2. Ask for the report — the agent starts from a ready-made recipe, not a blank page.
  3. It goes up — you get a private link at your own org address, behind sign-in.
  4. Publish an edition — one dated copy everyone opens, carrying a byline (the on-screen chip reads "today's edition · by you · just now").

Built by any agent. Owned by your org.

A readout is made like it matters — a plain web page your org keeps, with a named owner and a byline on every edition. Any agent builds it, no model subscription keeps it alive, and when a view is personal each viewer sees their own data. Craft, care, and custody, in one link you send once.

Join the first cohorts.

We invite cohorts weekly — the waitlist is how we onboard each org properly, with founder access and your security team looped in. Join with a work email and you're in a wave with a real invite coming, not dropped at a wall. You'll hear from us within a week.

Join the waitlistSee the demo

Cohorts invited weekly · nothing is public by default · viewers are always free · every edition carries a byline.

Apt the axolotl, relieved and at ease