Quarterly Plan
Best value for a full application cycle.
$119.97/3 months
$69.99/3 monthsSave 42%
You save $49.98
- 3-month access through school list, outreach, and follow-up
- Lowest effective monthly price
- All paid PhdFit agents and exports included
Resume-aware faculty matching
Find professors who actually fit you
Upload your resume. Four AI agents analyze your background, rank the faculty who fit, inspect their recent research, and help you draft outreach — grounded in their actual work, not templates.
Free to startNo credit cardCancel anytime
Top matches Balanced preset
Dr. Sarah Chen
Stanford · Interpretability · NLP
91
Dr. Marcus Holloway
MIT · Robotics · RL
84
Dr. Aisha Okonkwo
CMU · Fairness · HCI
82
Nova · Professor Researcher · re-ranking top 20…
Pre-launch — early access
Be first in line when PhdFit opens
We're wrapping up the resume-aware matching engine, the professor index, and AI-drafted outreach. Drop your email and we'll send your invite the moment the doors open.
- Free to start
- No credit card
- We email once when we launch
Top programs in our database
Traditional search
Open 40 faculty pages. Read. Forget which was which.
- Google "<field> professors <university>"
- Skim 12 pages for recent papers
- Try to guess who is accepting students
- Write a generic email. Hope.
PhdFitAgent-assisted discovery
Drop your CV. Get a ranked, explained shortlist.
- Profile parsed into signals, not keywords
- Faculty ranked with reasons on every axis
- Only professors who're actually accepting
- Outreach grounded in their latest paper
How the agents help
Six specialists doing what a patient advisor would.
01
Axel · Candidate Analyst
Reads your résumé and extracts research interests, methods, and trajectory — the signals that matter to admissions.
02
Nova · Professor Researcher
Indexes 40k+ faculty profiles and ranks them against your signals using topic, method, trajectory, open seats, and certainty.
03
Echo · Match Explainer
Writes the reasoning chain for every match so you know exactly why a professor surfaced — and can push back.
04
Atlas · Strategy Advisor
Balances your list across reach / target / safer, flags cycle timing, and catches gaps before you send.
05
Lyra · Outreach Writer
Drafts personalized emails grounded in the professor's actual papers, with subject variants and version lineage.
06
Juno · Meeting Prep Compiler
Compiles a one-page cheat sheet 15 min before every meeting — what to ask, what to avoid, recent papers.
How it works
One score is a black box. Five axes is a conversation.
PhdFit doesn't hand you an opaque fit number. Every faculty match is ranked across five readable axes — so you can see where the fit is strong, where it's soft, and where to push back.
The short version
4 steps · ~60s1
Signals from your CV
The Candidate Analyst reads your résumé and extracts research interests, methods, publications, and trajectory.
2
Faculty profile corpus
The Professor Researcher indexes 40k+ faculty pages, recent papers, and recruiting signals.
3
Five-axis scoring
Each candidate is scored on topic, method, trajectory, open seats, and certainty — not one number, five.
4
Explained ranking
The Match Explainer writes the reasoning chain for every match so you can argue with it in chat and re-rank.
The five axes — click to inspect
01 / 05Axis 01
Topic fit
What it answers
Does the professor work on the problems you want to work on?
Signals used
Paper abstracts and keywords for the last three years, matched against the interests parsed from your résumé plus anything you tell the agent in chat.
Presets — switch the weighting in one click
Balanced
Default — even weights across axes.
Research-fit
When you know your exact area and care most about topic & method overlap.
Methods-match
When you'd rather learn a new topic with tools you already own.
Practical-fit
When you're optimising for open seats and recruitment likelihood.
One session, one shortlist
Build your PhD advisor shortlist in one sitting.
No endless faculty-page browsing. No blind cold emails. Just guided, profile-aware discovery — with every recommendation explained.
Start freeProfile
14 signals extracted from your CV
Matching
847 faculty ranked — top 3% surfaced
3
Research● running
Building cheat sheet for Dr. Chen
4
Outreach
Ready after you confirm your top 5
PhdFit Pro
Unlock the full advisor-fit workflow.
Move from basic discovery to unlimited matching, professor research, outreach drafts, and meeting prep. Pick the runway that matches your application timeline.
Recommended
Monthly Plan
Recommended for active PhD applicants.
$39.99/month
$29.99/monthSave 25%
You save $10.00/mo
- Unlimited matching and professor research runs
- Outreach Writer with version history
- Meeting prep sheets for shortlisted professors
Weekly Plan
Short sprint access when you need a focused push.
$19.99/week
$14.99/weekSave 25%
You save $5.00/week
- Full agent access for 7 days
- Unlimited matching during the active week
- Good for validating a shortlist before deadlines
PhdFit Pro tools
AI resume and profile analysis
Unlimited
Professor match ranking
Unlimited
Research fit explanations
Full
Research Scout signals
Included
Outreach Writer
Drafts + history
Meeting prep sheets
Unlimited
Shortlist export
CSV + notes
If bought elsewhere$160/month
PHDFIT MONTHLY
Recommended for active applicants
Unlimited
Profile analysis
Turns your resume into research-fit signals
Unlimited
Professor matching
Ranks faculty by topic, method, trajectory, and competitiveness
Unlimited
Research Scout
Surfaces recent papers, lab direction, and fit evidence
Unlimited
Outreach Writer
Drafts specific emails with version history
Unlimited
Meeting prep
Creates professor-specific prep sheets
Included
Shortlist export
Export ranked targets, notes, and next steps
All-in monthly price$29.99/month
Free Plan
Current$0/forever
Start with the essentials before upgrading.
Profile analysis
10 professor matches per session
Basic compare
Limited outreach preview
Best for exploring
Free keeps the workflow visible, but paid plans remove the match, research, and outreach caps.
PhdFit turned my broad school list into specific faculty targets and gave me outreach I could actually defend.
PhD applicant
ML / HCI track