The auto-research desk for newsletters
Stringer watches your beats overnight, then files one citation-pinned delta brief each morning — deduplicated against everything you've ever published. Twenty hours of research, down to two.
The promise
Your archive is the moat. Stringer files the delta — and hides the rest.Built for operators whose byline rides on every sourced claim.
Onboarding ingests your full back-catalog so Stringer knows what you've already said — and never surfaces it as if it were new.
Every lead carries a pinned quote, URL, and timestamp. In a year when “AI slop” was the word of the year, your sourcing is a feature you pass to readers.
The brief lands in email or Slack; pulls export to Notion, Google Docs, or a draft. The desk fits the loop you already publish in.
On the desk
Living beat wikis, an overnight delta engine, and citations you can stand behind — assembled while you sleep, in time for your morning edit.
Define a beat — “EU AI regulation,” “fintech infra M&A” — and Stringer keeps a living wiki of entities, narrative timelines, and open questions, diff-updated overnight from your sources.
Entities tracked · 41
Open questions · 7
Last diff ·
05:58, +3 developments
Cheap-model triage scores every item for novelty against your archive and every prior brief, filters slop, and ranks by source quality — so the brief is the delta, not the noise.
“…providers of general-purpose AI models shall comply by 2 August 2026…”
📌 eur-lex.europa.eu06:00 CETverified ✓
Every pull-quote is extracted verbatim and exact-string matched against the fetched page before it reaches you. If the quote doesn't match the source, it's rejected. You still confirm before you publish — but you start from a quote that already checked out, with its URL, timestamp, and content hash attached.
Stringer links new developments to your own past coverage, so a story reads as a follow-up — not a re-run your readers already saw.
Stringer leans on feeds it can read cleanly and cite honestly: RSS and sitemaps, plus free primary sources like SEC EDGAR, the Federal Register, EUR-Lex, GovInfo, and court feeds. The morning brief arrives by email or Slack; one click pulls any wiki section, with its sources, into a Notion, Google Docs, or newsletter draft.
The overnight cycle
Batch economics are the point: overnight latency is exactly what makes the morning brief cheap to run — and reliable to read.
Stringer ingests your published back-catalog to build an “already-covered” memory, then you name the beats you want watched.
One-time setup
Across your sources, items are triaged for novelty against your corpus, slop is filtered, and quotes are pinned and verified.
Overnight, in your timezone
Your delta brief lands by email or Slack: what changed, why readers care, suggested angles, and pinned sources to confirm before you run them.
Every morning
Subscriptions
A writer worth $50–100/hour who saves ten-plus hours a week is the buyer. Pricing scales by beats, not seats. Final pricing is being set ahead of launch.
For the single-handed operator running one or two beats.
Archive-aware dedup and deeper sources for a serious revenue beat.
Small teams who share beats and want a public record of sourcing.
Finance & policy desks needing filings and earnings-transcript beats.
Indicative pricing, set ahead of launch. Plans scale by beats; we expect a free archive ingest and trial so your dedup memory exists before the first invoice.
For the record
Stringer monitors sources it can fetch and cite cleanly: RSS and Atom feeds, sitemaps, and free primary sources like SEC EDGAR, the Federal Register, EUR-Lex, GovInfo, and court feeds. We're honest about the edges — heavily paywalled outlets, locked social platforms, and licensed terminals are not openly crawlable, so Pro and Institutional plans lean on transcript and filing APIs and, where relevant, your own credentials. We'd rather cover the open web well and tell you the boundary than imply we read everything.
Every pull-quote is extracted verbatim and exact-string matched against the live page before it reaches your brief; quotes that don't match are dropped, and each surviving quote keeps its URL, timestamp, and content hash. That gets quote precision very high. But you should always verify before you publish — your byline is on the claim, not ours. Stringer is built to make that check fast, not to remove it.
No, and we won't pretend otherwise. Watching a beat across many heterogeneous, sometimes-blocked sources means recall is never guaranteed — some signals will be missed. What Stringer reliably does is read far more of the open web than you can by hand, suppress what you've already covered, and pin a verifiable source to everything it does surface. Treat it as a force-multiplier for your judgment, not a replacement for it.
Yes. Stringer builds memory from your published archive plus every item it has already shown you, and computes each morning's delta against that private record. The longer you run a beat, the more your dedup memory is worth — and it's the part that's genuinely hard for a generic chatbot to replicate, because it's specific to what you have published.
Stringer · Pre-launch
Stringer is in development for paid-newsletter operators in business, finance, policy, and tech. Join the waitlist to help shape the beats — and get in before launch pricing is set.