Your research. Your voice. Your name in the feed.

Dossier researches a topic like an analyst, finds the claim the coverage missed, and writes it in your voice. You approve it, then one click publishes to LinkedIn, X, Dev.to, Hashnode and Medium. No copy-paste, no ghostwriter retainer.

How it works

1. Research across four channels. arXiv papers, GitHub projects, the live web, and the authors already shaping the topic — gathered in one pass, every source kept and citable.
2. The angle the coverage missed. Sources are mapped for consensus and gaps, then synthesised into one defensible thesis grounded in what was actually found.
3. Written in your voice, then checked. A Voice DNA profile built from your own posts drives the draft; an originality pass rewrites anything verbatim, unoriginal or fabricated, and reports source overlap and an AI-pattern estimate.
4. You stay the editor. Approve, or send it back with notes. Nothing publishes without your sign-off, and that gate is enforced in code.
5. One approval, every platform. A teaser post and carousel for LinkedIn, a native thread and long-form for X, and the full article to Dev.to, Hashnode and Medium — each reshaped for its platform, never copy-pasted.

Why you can trust it

• You approve before anything ships; the gate lives in the publish path itself.
• At-most-once publishing: a hand-clicked publish and a waking scheduler can never both fire, so no duplicate reaches your feed.
• A failed run costs nothing — the whole credit hold is released.
• Every claim traces to a source, and the honest metrics are printed under the piece.

Pricing

Credit-metered plans — Free, Creator and Pro — billed monthly or yearly at 5% off, in INR or USD. Every plan drips credits monthly at the same rate, unused credits roll over up to 2×, and one-time top-up packs never expire. A LinkedIn ghostwriter runs $500–2,000 a month; Dossier starts at $12.

Questions

What is Dossier?

A thought-leadership engine. It researches a topic across arXiv, GitHub, the live web and the authors shaping it, finds the claim the coverage missed, writes the article in your voice, and publishes it once you approve.

How is it different from asking a chatbot for a post?

A general chatbot writes from what it already knows and whatever ranks on search. Dossier runs real research across four channels, keeps every source, maps consensus against gaps to find an angle, then runs a separate originality pass that repairs anything verbatim or unoriginal.

Will it sound like me?

It builds a Voice DNA profile from your own published posts and drafts in that cadence. Measured engagement from what you have already published feeds back into the next draft, so it learns what your audience rewarded rather than engagement folklore.

Can it publish without my approval?

No. Nothing publishes until you sign off, and the gate is enforced in the publish path rather than in a setting you could forget.

Where does it publish?

LinkedIn (teaser and link post, carousel, video short), X (a native thread and a long-form post), and the full article cross-posted to Dev.to, Medium and Hashnode with the hosted page as the canonical URL.

Do I pay for a run that fails?

No. The credit hold is released in full; you only pay for work that lands.

Start free · Sign in · Terms · Privacy · info@dossierloop.com