Audio and podcasting decision
Podscan
A capable engineer can build a useful local replacement (ingest, search, alerts, dashboards) in a few weeks, but matching Podscan’s coverage, tiered firehose, verified engagement data, and enterprise service levels is impractical without their proprietary dataset and scale.
Visit website↗$100/mo
$1,200/yr
Read off the official pricing page.
$100one-off44 h to build
$200/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 3 seats.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Receive episode webhooks, store transcripts/metadata, index for full-text search, run alerting queries, and surface results in dashboards and exports.
What it still won’t have
- Scale and coverage: Podscan's tracked 4.8M+ podcasts and daily recalculated PRS
- Firehose tiering and turnkey GARM brand-safety, demographics, and verified listener engagement add-ons
- Prebuilt charts, rankings, and data exports tailored for industry use cases
- Priority support, SLA, and enterprise onboarding
What remains hard
- Proprietary data
Real-time monitoring and structured data from 4.8M+ podcasts .
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 3 seats.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a self-hosted Podscan-like ingest+search service using Node.js (Express) for webhooks, Postgres for relational metadata, OpenSearch for transcript full-text indexing, Redis for dedupe/queueing, and a React UI. Core features: webhook receiver (gzip support), payload validation and schema, relational storage (podcast, episode, entities), index transcripts into OpenSearch with per-episode documents, search UI (query, filters, results, transcript viewer), alert subscription CRUD and delivery via email/webhooks, daily export job (JSON). Out of scope: building a large-scale podcast crawler or full podcast discovery pipeline, training proprietary models, and matching Podscan's 4.8M+ coverage. Include error handling, retry logic, tests for webhook parsing and indexing, and deployment manifests (Docker Compose or Kubernetes).
How we checked
How the score was reached
- Partly verdict base52
- 2 cited sources+1
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Hard moats found in the evidence-3
- Evidence score57
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 2
Every page the run actually retrieved.
- official productPodscan homepage
- official docsPodscan Firehose API docs
Integrity checks
What held up, and what did not.
