We’re building the production workflow system for podcast teams.
For small and mid-sized podcast agencies coordinating editors, freelancers, reviews, and delivery across multiple recurring shows. Knowing what’s ready, what’s blocked, and what happens next.
Get notified when early access opens.
Strictly for podcast agency leaders, production coordinators, and senior sound designers managing weekly serials.
Opens your email app; no form submission is collected here.
The complexity comes from coordination, not from any single editing task.
Each step in isolation is straightforward. The friction multiplies at the seams — tracking whose turn it is, which files are approved, and what is quietly blocked across several shows.
Questions production leads ask every day
Who can start right now?
Know immediately who has all raw files ready to edit without digging through folders.
Which version is current?
Ensure everyone works on the latest cut and approved transcript — never an outdated file.
Is this waiting on another person?
See instantly if a task is actively being worked on, waiting for handoff, or blocked on client feedback.
Did the client approve it?
Get explicit sign-off records instead of guessing if a casual Slack reply counts as final approval.
What can a freelancer safely access?
Share only the audio files an external contractor needs, without exposing your whole agency drive.
Which jobs across several shows are quietly becoming blocked?
Catch bottlenecked episodes and missed deadlines days in advance, not on release morning.
Why generic toolstacks strain as production grows
Each tool in your stack does its individual job well. The gap is in the connective tissue between them.
The team lead becomes the workflow engine.
Because generic systems don't understand that a transcript requires a locked cut, or that client approval unblocks final packaging, a human coordinator must manually verify files, paste links, and ping teammates for every single handoff across every episode.
Podcast production is not just a list of tasks.
It is a chain of work, people, files, dependencies, reviews, decisions, and handoffs. Here is the operational mechanism we are building:
Dependency-aware readiness
Work only becomes available when preceding tasks and required files are verified ready. No guessing if an edit is finished.
Forward-only history
Completed work is never silently rewritten. Client revisions and rework create explicitly scoped new work with audit records.
Handoffs that carry context
When an episode moves to the next person, the files, timestamps, and revision notes travel with it without copy-pasting links.
Scoped participation
Freelance audio engineers, show hosts, and clients only see their assigned work, without access to internal agency operations.
Your storage stays yours
We do not hold your audio hostage. Ordimize coordinates around your existing cloud storage accounts, referencing files in-place without vendor lock-in.
If you run podcast production, we'd rather be told we're wrong now than find out after we've built it.
We have spent a long time modeling how recurring production should behave. But teams differ, edge cases matter, and our model deserves to be tested against real work.
Automatic readiness vs. manual control
When a piece of work finishes, dependent work should become available automatically with the right files attached — eliminating status checks and follow-up pings.
Automatic readiness misfires so often in your day-to-day workflow that you’d genuinely rather update status columns by hand.
Unified handoffs vs. chat links
A handoff must carry the exact work, verified asset links, audio stems, and context together so the recipient can hit the ground running immediately.
Sending loose file links via chat messages or DM threads doesn’t actually introduce latency, mistakes, or coordination drag for your team.
Forward-only history vs. task editing
Completed production history should never be rewritten retroactively. Client revisions and re-edits should instantiate explicit, audit-tracked new stages.
Editing past tasks, overwriting completed status boxes, or wiping historical timestamps is essential to keeping your sanity in production.
The coordination bottleneck
The 'team lead as workflow engine' is the single biggest bottleneck and burnout driver when scaling past 3–5 recurring weekly shows.
Having leads manually route every cut, track revisions in spreadsheets, and chase reviewers is something you actually prefer to keep doing.
Talk to the people building it
Book a 15-minute conversation on how your production actually works — we'll take notes, and you'll shape what we build. Or write directly to our founder inbox.
Where we are today
An honest, transparent accounting of our current engineering progress.
Core Architecture
Data modeling, dependency graph contracts, and storage primitives.
Internal Engine
Disposable test runs, state machines, and multi-show concurrency load.
App Interface
Lead overview consoles, editor review queues, and freelancer portals.
Public Release
Live cohort onboarding, agency sign-in, and customer deployment.
Keep podcast production moving — from intake to delivery.
Join the waitlist for early access, or reach out to challenge our thinking.
Our commitments to waitlist members:
Opens your email app; no form submission is collected here.