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hard enough.
Your application shouldn’t be.

Scholr handles every piece — writing your SOP and CV, finding funded supervisors, drafting outreach that gets replies, and tracking every deadline. One place, start to acceptance.

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My ApplicationFall 2027
Documents
Statement of Purpose · MITReady
Statement of Purpose · OxfordDrafting
Supervisor Matches · 12 found
S

Prof. Sarah Chen

MIT

Funded96%
J

Prof. James Okafor

Oxford

Funded89%
Applications · 4 active

MIT

Prof. Chen

InterviewDec 15

Oxford

Prof. Okafor

RepliedJan 6

Everything in one place — from first draft to funded offer.

How it works

From “where do I even start”
to funded offer — step by step.

Step 01

3 matches · Computer Science · Toronto

S

Prof. Sarah Chen

MIT · CS

FundedAccepting
M

Prof. Maya Reyes

Toronto · CS

FundedAccepting
K

Prof. Karl Müller

TU Munich · CS

Accepting
01

Find supervisors who are actually taking students

Search by research area and target university. Scholr shows you professors with active funding and open positions — so you know where your outreach will land.

02

Write your SOP and CV with Scholr

Scholr gives you a starting point tailored to each lab — pulling in the professor's research focus and your background. You write, edit, and own every word.

03

Send outreach that professors actually read

Scholr writes a cold email for each professor that references their latest publication and connects it to your background. You review, edit, and send.

04

Keep every conversation and deadline in one place

Add each university, professor, and deadline as you go. See at a glance who you've contacted, who's replied, and what's due next — no spreadsheet required.

From our users

Real results from real applicants

The “Accepting Students + Funded” filter saved me months of dead-end research. I only contacted professors I had a real shot with.

Carlos R.PhD · Machine Learning, ETH Zurich

My outreach was so specific to each professor’s work that one replied saying it was the best cold email she’d received all year.

Priya K.Masters · Computational Biology, Oxford

FAQ

Common questions

When you search for supervisors, our AI scans university lab pages, grant databases (NSF, NIH, EPSRC, etc.), and public funding records in real time. A professor is marked "Funded" when the AI finds evidence of an active, recent grant tied to their lab — not just historical funding.

Our AI looks for signals — from the professor's lab page, recent posts, or graduate admissions listings — that suggest they are open to taking new PhD or Masters students for an upcoming intake.

Yes. Scholr supports PhD, Masters, and Postdoc applications. The workflow, professor matching, and outreach generation all work across all three degree types.

When you generate an outreach email, Scholr searches for the professor's 3 most recent publications, extracts their core research themes, and combines that with your research background from your profile. The result is a personalised, specific email — not a template.

Yes. The free Explorer plan gives you 5 supervisor searches, 1 outreach email, 1 document draft, 1 document critique, and tracking for up to 3 applications — enough to try every feature. Paid plans unlock unlimited usage for a full application season.

Yes. Scholr's AI searches the web in real time, so it works for any university and any field — STEM, social sciences, medicine, humanities, and beyond. If the information is publicly available, Scholr can find it.

Pricing

One-time access for your application cycle.

Pay once for the months you're actively applying. No subscriptions, no renewal.

Unlike monthly tools — no billing anxiety while you wait for replies

Explorer

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5 AI supervisor searches
Track up to 3 applications
1 AI outreach email
1 document draft
1 document critique
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Unlimited outreach emails
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Document writer — up to 8 drafts
Document critique — 5 reviews
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4 professors replied in one week — that’s what happens when your outreach is specific, timed right, and sent to the right people.

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