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Every Monday, get a briefing telling you:
Ready-to-edit email drafts grounded in your actual research. Review, edit, send. 15 minutes a week.
Not ready?
Most papers never reach the people who would build on them. Most invitations flow toward names the panel already recognized. The work isn't the problem. The researchers who get read, get invited, and end up where they wanted to be are doing something else too — quiet, weekly, visible work between the papers. That's the part no one teaches in grad school. It's what Loud Camel is for.
Each briefing runs to ten or fifteen minutes of reading. It is built from a fresh weekly scan of your field — new papers citing your work, role moves across your network, and active discussions where your research applies.
Researchers whose recent work directly intersects with yours — surfaced with the specific paper, the specific link, and the timing reason. Not "same field." Not "you might enjoy."
People you used to know, surfaced because something changed — a new publication, a role move, a conference. Each comes with a non-awkward reason to write, even after years of silence.
Specific online spaces — subreddits, preprint threads, LinkedIn discussions — where a substantive contribution from you would genuinely help readers, and where AI search systems happen to index for tomorrow's citations.
In your tone, grounded in your actual papers, never generic. You edit, send, or skip. Nothing is sent automatically. Nothing is published in your name without your click.
Targeted promotion of academic work changes citation outcomes. The evidence isn't subtle. Three studies, three Loud Camel mechanisms — the studies came first.
Loud Camel adapts to where you are in your academic career. Here is what a typical month looks like for each kind of subscriber.
Postdoc · advanced PhD · new faculty
You're publishing good work. The right people aren't reading it. Job-market season is coming, and your network is still your advisor's network — not yours.
30 minutes. Two peer outreaches. One preprint comment. One guest-blog excerpt.
~10 peer relationships · stronger Google footprint · letter-writer candidates surfaced
Assistant professor · senior postdoc · lecturer
Your work is good. Nobody is reading it. The conference invites go to the same five established names. Yours isn't one yet.
20 minutes on Monday. Send two emails. Post one comment. Skip the rest.
3 new citation relationships · 1 co-author conversation · name appearing in AI search
Tenured faculty · senior lecturer · post-pivot
Your network reflects what you used to do. The lecture invitations are about the old work. The recognition in your new area isn't arriving.
15 minutes. One reconnection note, one targeted comment, the rest waits.
Prior exposure to grant reviewers · 2–3 reactivated dormant ties, now relevant
No software to install. No new platform to learn. The briefing arrives in your existing inbox; a fuller view sits in a private dashboard if you want it.
The system pulls your publication list, identifies your active subfields, runs the first scan.
Your first briefing lands right after setup — drafts attached to each. Review in 15 minutes. Send what fits, skip the rest. No penalty.
A one-screen form: plain or formal voice, citations vs. grants, anything to exclude.
By the third or fourth, the precision is noticeable. You're seeing what you would have missed.
Every quote here is named and used with permission. The subscriber's numbers are a real, specific outcome — not an illustration.
It would — if this were mass automated outreach to keyword-matched strangers. That's exactly the problem with most "AI outreach" tools built for sales teams.
Loud Camel was designed around the opposite principle: relevance before scale.
Every recommendation is based on a real intellectual connection — a specific paper of theirs connected to a specific paper of yours, with the overlap clearly referenced in the draft itself.
Nothing is ever auto-sent. You review, edit, and approve every message before it goes out.
The drafts are intentionally human: concise, context-aware, and specific enough to feel like genuine academic outreach, not template-driven networking.
And if a recommendation doesn't feel authentic or worthwhile, you simply skip it.
The briefing is designed for 15–20 minutes a week. One scroll, three decisions: send, edit, skip.
If you have less than 15 minutes, skip a week. The next briefing surfaces what's still relevant. There is no penalty for low engagement, only slower compounding.
Your publication list from public sources (ORCID, OpenAlex), your preferences when you set them, and your archive of past briefings. Nothing else. We do not read your email, do not access your calendar, do not connect to any account besides what you explicitly link.
Your briefings are private. Not shared with other subscribers. Not used to train any external model. Not sold. Export or delete your archive any time.
We don't. Within any given week, a scholar appears as a recommendation for at most one subscriber. The matching runs against all briefings going out that Monday, so if two subscribers both have a strong link to Dr. Chen, only one gets her this week — the other gets a different match that's also strong for them.
This is the difference between a briefing and a mailing list. A flood of near-identical emails would burn the recipient and embarrass the senders. Avoiding that is the core of how the recommendations are built, not an afterthought.
Both are libraries — you upload your work and hope the right people find it. They're useful as passive infrastructure. They don't tell you who should hear from you this week.
AI-powered search (ChatGPT, Perplexity, Google AI Overviews) also largely bypasses those profile pages — it synthesizes from accessible discussion and indexed material. Loud Camel's visibility actions surface the threads and communities where that material lives, so your name appears in the conversation rather than only in the archive.
No. The briefing arrives at your email address as a message. Loud Camel never connects to, reads, or has any access to your email account. You copy each draft and send it yourself.
One click in your dashboard — no "are you sure" email, no retention call. Your plan stays active until the end of the current billing period.
Your full archive of past briefings stays accessible — export it (one click) any time. If you later delete your account, we remove all associated data within 30 days.
Be honest with yourself here. Loud Camel works poorly or not at all for:
I'm a data scientist with a PhD in computational chemistry from the Hebrew University of Jerusalem. I've spent my career building systems that read large bodies of text and surface what matters.
Again and again, I saw the same thing: good research going undiscovered. The record was solid. The visibility wasn't. The people who needed to know the work simply didn't.
So I turned the toolkit I'd built for other people's problems onto this one — large-scale text analysis and pipelines that read what other researchers read and surface what they miss.
Most researchers face this problem. Most don't have the technical background to build their way out. Loud Camel is what they no longer have to.
I read every email personally. Write to boris@loudcamel.com.
Loud Camel doesn't replace your ResearchGate or Academia.edu profile — those are libraries, and your work belongs in them. What Loud Camel replaces is the active outreach work most researchers end up doing by hand: between papers, between teaching, at the edges of the day.
| Loud Camel | Doing it yourself | |
|---|---|---|
| Time per week | ~20 minutes | 5–10 hours |
| What you do | Read three named recommendations, edit drafts, send what fits. | Scan new papers, identify relevant scholars, find their contact, draft each message from scratch. |
| What gets skipped | Nothing. The briefing arrives every Monday. | Most weeks. Outreach is what gets cut first when everything else is on fire. |
| Cost per month | $42 | 20–40 hours of your time |
52 briefings a year, built for one subscriber: you.
Need more? We offer larger plans.
