Paste your profile
Drop your resume or LinkedIn URL, and that is the whole setup. Nothing to fill out.
For CS students
The shortlist that read you right.
Stop spraying applications into the void. Paste your profile and get one ranked shortlist, strong matches first, honest stretches last, each role carrying the reasoning behind it.
Roles surfaced from where students actually intern
StripeAndurilRampNVIDIAFigmaDatabricksVercelNotionPlaidScaleStripeAndurilRampNVIDIAFigmaDatabricksVercelNotionPlaidScale
400
applications sent by the person who built this
3
interviews those 400 applications returned
0.75%
hit rate. Mass applying is broken, so we built the opposite of it
SkyMatch is not another place to fire off more applications. It is a way to send far fewer, to the roles that were worth it all along.
01 How it works
Three steps. No spreadsheet.
The setup is paste and go. The work is in what happens after, where your profile gets read the way a sharp friend would read it.
We read it like a person
Your coursework, projects and skills become signal, not a bag of keywords. We weigh what you've actually done against what each role needs.
Get fifteen with reasons
One ranked feed from strong matches to honest stretches, every role tagged by company type and carrying a one tap “why it landed here.”
02 The three bands
One feed, graded honestly.
Every role lands in one ranked list, graded by your relationship to the role, not by the logo on the door. Strong matches first. Honest stretches last. Anything that is not a fit is set aside in plain sight, never quietly deleted.
Strong match
Ready now
Your coursework and projects already clear the bar. The reasoning names the exact signals that landed, so you know what to lead with.
apply this week
Worth a look
Close, with a catch
A real case with one soft spot. We name the soft spot in plain words, so you decide whether to push or pass.
read, then decide
Stretch
A gap with a plan
Usually a skill or two away. Each stretch names the gap and points at a plan to close it, so the long shots come with directions.
prep, then apply
Big techStartupNear youSelective
Company type still matters, so every role carries a tag and the feed filters by it. It just stopped being the headline.
03 A real match
Every match shows its work.
No mystery score. You see the band, the company type, and the exact reason a role made your list. When something is a stretch, we say so, name the gap, and point at the plan to close it.
StretchStartup
Machine Learning Intern
Ramp · New York, NY · Summer 2026
Your two semesters of applied ML and the fraud detection class project map closely to their risk team. The bar is high for a sophomore, but you are about two skills away, not ten. Lead with the project, not the GPA.
Why this is a stretch, and the plan that closes the gap
04 A look inside
Your shortlist, ranked and reasoned.
Clean, scannable, honest about fit. Strong matches open the feed, stretches close it, and anything that is not a fit waits in a labeled row at the bottom. Filter by company type without losing the order.
All 15Big tech 5Startups 5Near you 3Selective 2
Strong matches4
R
C
Worth a look7
V
M
Stretch4
P
N
Not a fit right now · 5 rolesgraded, not hidden
05 The bias we built in
No mystery scores. No inflated odds.
Made by someone who sent 400 applications and got three interviews. The whole product is an argument against doing that.
a
Reasoning, not a score
A real explanation beats a mystery number every time. You see why each role fits, in words you can act on.
b
A stretch is a stretch
Trust comes from being straight about the odds, not inflating them. A stretch is labeled a stretch, with the gap named and a plan attached.
c
Bands, not false precision
Fit is shown as Strong, Worth a look, or Stretch, honest tiers, not a “67” pretending to a calibration nobody has.
06 Questions
Good to know.
Do I need to make an account?
No. Paste a profile and run it, anonymously. You only sign in if you want to save runs across devices or use the deeper job fit analyzer.
How does the matching actually work?
Your profile is turned into an embedding that captures skills, level and trajectory. Each indexed role is embedded the same way, so matching compares meaning, not literal keyword overlap, then sorts fit into honest bands against your background.
Why bands instead of a percentage match?
A two digit score implies a precision the model doesn't have. A “67” reads as measured when it isn't. Strong / Worth a look / Stretch tells you what you actually need to know: how hard to push, and where.
Can I still browse by company type?
Yes. Every role carries a type tag: Big tech, Startup, Near you, or Selective. Chips above the feed cut the list to one type while the band order stays put. Roles near you also get a quiet boost in the ranking, because staying close is sometimes the whole point.
What happens to roles that are not a fit?
They stay on the page. Anything graded not a fit collapses into a labeled row at the bottom of the feed, so you can see what was considered and what was set aside. Shown, not hidden.
Where do the roles come from?
A background worker continuously gathers live postings from company career pages and ATS feeds into an index, then ranks them ahead of time. Your run serves from that index, which is why results land in seconds.
Is it really free?
Core discovery is free for students. Heavier analyzer usage sits behind a generous daily limit once you sign in.
Start in 30 seconds
Find the fifteen that fit.
Paste your profile and read the reasoning on every role, before you spend a single application.