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Use case · Content curation

Sources in. Signal out. The brief your audience opens every morning.

A custom aggregation app for newsletter operators, content studios, and analyst desks. RSS, X, web, podcasts, SEC filings — ingested, deduped, ranked, summarised, queued for editorial. We integrate Substack, beehiiv, Ghost, ConvertKit.

subscribers in 6 months
editorial time per edition
revenue per edition
Live signal
2–6 wks Build, fixed price30k → 64k subscribers in 6 months−50% editorial time per edition90 days Stabilisation included
What's in the build

Six pieces, one workflow.

Sources in, signal out. A daily curated brief your audience pays for, on autopilot.

01 · Source ingestion

RSS, X, web, podcasts, filings — one queue.

Configure sources by category. App polls daily, ingests, deduplicates, normalises. The editor opens one queue, not eighteen tabs.

  • RSS / X / web / podcast / SEC
  • Per-source poll cadence
  • Deduplication
  • One-queue normalisation
02 · AI summarisation

Long form in. Editorial card out.

Each item summarised: 60-word brief, 3 key points, recommended angle. Editor approves or rewrites. The blank-page work is gone; the judgment work remains.

  • 60-word brief
  • Key-points extraction
  • Angle recommendation
  • Editor edit-in-place
03 · Editorial queue

What's tomorrow's lead.

Editor sees ranked queue: by relevance score, by exclusivity, by source quality. Drag-drop into tomorrow's edition. The line-up gets done in 30 minutes.

  • Relevance scoring
  • Exclusivity flag
  • Source-quality weighting
  • Drag-drop edition builder
04 · Newsletter publish

Substack / beehiiv / Ghost wired.

Approved edition pushes to your newsletter platform with images, links, sponsor blocks, footer. Schedule or send-now. Cross-post to social with one click.

  • Newsletter platform push
  • Sponsor block injection
  • Image auto-pull
  • Social cross-post
05 · Audience analytics

What they opened, what they clicked, what converted.

Open / click / forward / unsubscribe per item. Heat map of which stories drove subscriptions vs which drove unsubscribes. Editorial decisions on data.

  • Per-item open + click
  • Forward + share tracking
  • Conversion-by-story
  • Unsub-cause analysis
06 · Source performance

Which sources matter, which to drop.

Sources scored by yield (items used / items ingested), audience response, exclusivity. Underperformers flagged. The aggregation gets sharper over time.

  • Source-yield scoring
  • Audience-response weighting
  • Exclusivity tracking
  • Auto-drop suggestions
Sample engagement

The B2B newsletter that doubled subscribers without doubling editorial.

30k subscribers. One editor. Six hours a day, just reading.

A B2B fintech newsletter editor spent ~6 hours/day reading sources before writing. Subscriber growth had stalled at 30k. We shipped a curation app: 28 sources, AI summary, ranked queue. Six months in: subscriber base 64k, editorial time per edition halved, per-edition revenue up 71% (more sponsor slots, same editor).

How we measure: Subscribers measured monthly via newsletter platform export, editorial time logged via the editor's calendar, revenue measured per-edition sponsor billings.

30k → 64ksubscribers in 6 months
−50%editorial time per edition
+71%revenue per edition
Industries this is built for

Where this build earns its rent.

Most-relevant verticals — but the same shape works for adjacent ones.

Sources in, signal out.

We wire your sources, your AI, your newsletter — ship in 4–6 weeks.