For bachelor's, master's & PhD students · built at TUM

Save 6 weeks of thesis prep.
In under 10 minutes.

Finding a supervisor and reviewing literature are the two biggest time sinks for any thesis student — bachelor's, master's, or PhD. GradLens automates both — completely.

Supervisor search: 3–6 min instead of 4 weeks·Literature review: 10 min instead of 2 weeks

No credit card required to sign up · GDPR compliant · EU-hosted

Students writing a thesis — bachelor's, master's, or PhD — spend 3–4 weeks cold-emailing professors with little response, then another 1–2 weeks manually searching databases and copy-pasting papers into a spreadsheet — before writing a single sentence of their actual thesis.

Supervisor Search — One-time €24.99

Thesis Supervisor Finder

Replaces 3–4 weeks of manual outreach prep

Paste your department's faculty page URL and upload your CV. The agent scans up to 40 professor profiles, scores each one against your research background, and writes a personalized outreach email for every strong match — ready to send.

What you get:

  • Ranked professor list — High / Medium / Low match, each with a written explanation of why they fit your profile
  • Professor name, institutional email, chair or research group, and research keywords — all extracted automatically
  • A personalized 150–200 word outreach email for each top match, referencing their specific research
  • A contact tracker to log who you emailed, when, and what they replied

€24.99

one-time · 3 searches included

Find My Supervisor →

How it works

  1. 1

    Paste your faculty page URL

    Any department "People" or "Staff" page works — e.g. https://www.ce.cit.tum.de/en/ias/people/

  2. 2

    Upload your CV

    PDF, up to 10 MB. We extract your background, skills, and prior research automatically.

  3. 3

    Agent runs for 3–6 minutes

    Fetches up to 40 professor profiles, scores each against your CV, filters to the best matches.

  4. 4

    Review results and send

    Browse ranked professor cards, read the AI reasoning, edit the draft email if you like, and hit send.

Time saved: Most students spend 3–4 weeks researching professors and drafting emails. This runs in under 6 minutes.


What you get per run

  • Papers from 5 databases, searched simultaneously

    OpenAlex, PubMed, Semantic Scholar, arXiv, and CrossRef — no manual exports, no switching tabs

  • Smart deduplication across all sources

    Papers found in multiple databases are merged automatically — by DOI, then by ID, then by title. No duplicate reading.

  • AI relevance screening for every paper

    Each paper gets a relevance score (1–10) against your specific topic. High / Medium / Low tiers so you know exactly what to prioritize.

  • Research gap analysis

    The synthesis explicitly identifies what the existing literature does not cover — the gaps your thesis can address.

  • Thesis proposal-ready narrative (500–800 words)

    A structured synthesis covering: literature landscape, key themes and findings, research gaps and future directions, and methodological observations. Ready to paste into your proposal.

  • Downloadable evidence table (ZIP)

    All included papers with title, authors, year, journal, DOI, abstract, and relevance score — structured and exportable.

Time saved: Searching, deduplicating, screening, and writing a narrative takes 1–2 weeks manually. This runs in under 10 minutes.

Literature Review — €17.99/month

Literature Review & Proposal Builder

From topic to thesis-ready literature review in 10 minutes

Enter your research topic and keywords. The agent searches five academic databases simultaneously, deduplicates all results, screens every paper for relevance using AI, and produces a structured narrative that identifies research gaps and future directions — the exact content you need for a thesis proposal.

What would normally take 1–2 weeks:

  • — Search 5 databases separately, export each manually
  • — Merge spreadsheets, remove duplicates by hand
  • — Read every abstract and decide what's relevant
  • — Write a PRISMA narrative from scratch
  • — Identify research gaps for your proposal

GradLens does all of it in under 10 minutes.

€17.99

per month · cancel anytime · 15 reviews/mo

Build My Literature Review →

Searches 5 academic databases simultaneously — no manual exports

OpenAlexPubMedSemantic ScholararXivCrossRef

Sample output

Here's what you actually get

Supervisor Finder — professor card

Prof. Dr. Anna Weber

Chair of Machine Learning · TU Munich

High match
NLPTransformer modelsLow-resource learning

Why she fits: Prof. Weber's current work on cross-lingual transfer learning directly aligns with your CV focus on multilingual NLP. Her group has open thesis slots this semester and accepts external applicants.

Draft outreach email

Dear Prof. Weber,

I am a master's student at TUM (Computer Science, graduating July 2026) writing about cross-lingual transfer in low-resource settings. Your recent work on zero-shot multilingual prompting is directly related to the gap I want to explore…

[Full 180-word email generated — edit and send]

Literature Review — paper entry & synthesis excerpt

Attention Is All You Need

9 / 10

Vaswani et al. · 2017 · NeurIPS · via Semantic Scholar

Relevance: Foundational transformer architecture directly relevant to your topic. Cited by all subsequent cross-lingual models in this review.

Research gap identified

“None of the 34 reviewed studies address zero-shot transfer in languages with fewer than 100k training tokens. This gap is most acute in African and Southeast Asian language families — a tractable contribution for a master's thesis with access to standard compute.”

Illustrative example — your results use your actual CV and research topic.

Why this exists

“I was a master's student at TUM with a clear research direction but no supervisor and a 6-week deadline. I built these tools for myself. The Thesis Finder got me a supervisor in 3 days. The Lit Review saved two weeks of database searching before I wrote a word of my thesis. I'm publishing them so other students don't have to start from scratch.”

— Emre, MSc student · Technical University of Munich

30-day money-back guarantee GDPR compliant EU-hosted (Frankfurt) CV deleted after each run No data sold

FAQ

Common questions

What universities does the Supervisor Finder work with?+

Any university that has a department 'People' or 'Staff' page online — which is essentially all of them. TUM, LMU, KIT, ETH Zürich, University of Amsterdam, UCL, and hundreds more. If you can paste the URL, the agent can scan it.

How long does each tool take to run?+

The Supervisor Finder scans up to 40 professor profiles in 3–6 minutes. The Literature Review searches 5 databases, deduplicates, screens, and writes your synthesis in under 10 minutes. You'll get an email when results are ready.

Is my CV stored on your servers?+

No. Your CV is used only during the run and deleted immediately after. It is never stored, indexed, or used for any other purpose. GradLens is fully GDPR compliant and EU-hosted.

Can I cancel the Literature Review subscription?+

Yes — any time, no questions asked. Go to Account → Manage subscription. Your access continues until the end of the billing period you already paid for.

Does the Literature Review work for my field?+

Yes. The agent searches OpenAlex, PubMed, Semantic Scholar, arXiv, and CrossRef — covering STEM, social sciences, humanities, medicine, and more. Any topic with academic papers in these databases will return results.