Serious families are already reading their kid's application against thousands of real admitted essays. Make sure yours has the same edge.
General-purpose AI was trained on the open internet — it has never seen a single real admissions file. We trained on thousands of real admitted, waitlisted, and rejected packages, each with the actual outcome attached. Upload your application and get a long, specific read: what's strong, what's quietly costing you, and the exact edits to make tonight. Then revise, re-run, and watch the read improve — draft after draft, school after school, all season long. It doesn't replace your counselor or consultant. It's the edge that goes on top.
or free with code FIRSTREAD. Iterate as many times as you need.
Three places you could get your package read. Only one has the files.
- Trained on the open internet
- Has never seen a real admitted Yale package
- Same generic answer for every applicant
- “Be authentic. Show passion.”
- A few hundred packages across an entire career
- Paid more the longer you keep booking sessions
- Won't tell you a reach is honestly out of reach
- Sample size of one career — not thousands of cycles
- Thousands of real packages — multiple firms, growing every cycle
- Every file has the real admit / waitlist / reject outcome attached
- Compares your specific profile to specific real outcomes
- Paid $0.99 — no incentive to keep you around
One upload. A long, honest read. Then iterate until it's the best it can be.
The premise: we can't change WHO you are. We can change how you ORGANIZE and TELL what you already have so the readers at your top schools see it. Most applicants are losing on storytelling, not credentials.
Common App essay, supplements, activities list, transcript notes. The AI reads everything in one pass.
What's strong, what's weak, school-specific prompt fit, and concrete things to add if true of you. Roughly 4,000–6,000 words, tailored to your specific package.
Paste a revised essay or ask the AI to draft a rewrite in your voice. Each new run compares to the last — what landed, where you can still go further.
One read is a second opinion. The loop is where applications actually get better. Every run remembers your previous drafts and tells you which suggestions you acted on, which still need work, and exactly what to attack next. You can also ask the AI to draft a rewrite of your weakest paragraph — in your voice, as a starting point. We'll show this warning every time:
Same student, same credentials — a sharper story, told the way the readers at that school actually reward. The math doesn't change. What they see does.
Illustrative. Real movement depends on your package.
Five real reads. Yours will be this specific.
Not a grade and a pep talk — a calibrated probability, your essays scored line by line, and an exact list of what to fix tonight. Five different applicants, five top schools, the same brutal honesty. Each report runs ~4,000 words. Read one, then go get yours.
Five real-style reads · different applicants, different schools · the same brutal honesty. Tap any card.
The whole point of the read is this list — specific, do-it-tonight moves, ranked by how much they actually change the outcome. Not “be more authentic.” This:
Re-frame the activities and supplement around the translator — not a separate pre-law plan.
Trade brochure language for one seminar, one professor, one argument you'd push back on.
Delete the 'taught me about identity' line and the brochure conclusion. Five minutes.
Below: the full read this came from — probability, scorecard, essay-by-essay line edits, and drafted rewrites you can start from.
Strong Common App, weaker supplements.
Real proof, but two entries tell one story.
Two competing stories, not one.
Top decile of Yale's pool.
'Why Yale' reads like the brochure.
You read like a humanities-strong applicant in the top 12% of what Yale will see this year. Your Common App essay does one rare thing well: it trusts the reader. But your supplements undo that work — the 'Why Yale' supplement names exactly one specific thing (Directed Studies) and then drifts into Yale's admissions brochure language. That's a tell, and the reader will catch it.
Here is what a committee actually sees: a writer who can clearly write, attached to a package that hasn't decided what it's about. The single biggest lever is not another activity or a higher score — it's collapsing your two narratives into one. Do that and this moves from 'strong but forgettable' to 'the translator,' which is a person they remember in committee.
The honest ceiling: even executed perfectly, Yale is a reach at a 3.7% base rate. A clean, single-story package puts you at the top of the reach band — not into target. We'd rather tell you that now than sell you a year of polish that can't change the math.
You're closest to two admitted Yale archetypes: the 'quiet humanist' (admit, 2023) and the 'arts + intellectual' cellist who named a real disagreement with a Yale professor in her supplement (admit, 2024). The cellist's essay-to-supplement coherence is exactly what you're missing. The closest reject in our files had your strengths and your problem: a beautiful main essay bolted onto supplements that could have been submitted to any school.
- Voice in the Common AppRestrained, sentence-level writer. Rare in the pile, and it can't be taught in a year.
- Activities have proof, not adjectivesNumbers and dates exist where they should; you show rather than claim.
- One genuine intellectual interestTranslation work named with real depth — this is your throughline if you choose it.
- 'Why Yale' reads as brochure-fluent'Vibrant intellectual community' is what readers filter out, not in.
- Activities #2 and #6 tell the same storyPromote #9 instead — the only non-academic risk in the file.
- The supplement undermines the essayIt says out loud what the main essay wisely refused to say.
Your package is trying to tell two stories at once, and they're fighting each other for the reader's attention.
A translator (the essay) and a future lawyer (activities, supplements). The lawyer story is one Yale reads 800 times a cycle.
Build everything around the translator — the rarer, stronger story. Re-frame the activities as evidence of it, not a separate career plan.
The opening image (a misspelling in your grandmother's 1962 letter) is the kind of detail Yale readers underline. You let the reader do the inferring — most applicants don't — and you never explain the metaphor, which is exactly right.
Paragraph 3 lapses into 'this taught me about identity,' and the conclusion reaches for a neat bow the rest of the essay was too smart to need. You stop trusting the reader right when it counts.
“…and that's when I realized this taught me about identity.”
Issue: You name the lesson the image already delivered. It deflates it.
Fix: Cut the sentence. End the paragraph on the letter itself.
“I will carry this lesson with me to college and beyond.”
Issue: A brochure sentence in an essay that earned a better ending.
Fix: Return to a concrete object — the letter, refolded — and stop.
“The letter is dated August 4, 1962. The word 'recieved' is misspelled in my grandmother's otherwise impeccable hand, and for forty years no one corrected it.”
Now: “I will carry this lesson with me to college and beyond.”
“I refolded the letter along its forty-year creases and put it back. I still haven't corrected the spelling. Some things you keep exactly as they were handed to you.”
The 'Why Yale' supplement is the weakest piece and the easiest win. Ask and we'll draft a full rewrite in your voice to start from — then name one seminar and one professor whose argument you'd push back on, and run it back through. We'll tell you if it landed.
Re-frame the activities and supplement as evidence of the translator, not a separate pre-law plan.
Replace brochure language with one seminar, one professor, one argument you'd push back on.
Delete the 'taught me about identity' line and the brochure conclusion.
This is run 1. Make the edits, re-upload, and run it again — each time we tell you whether your probability moved, which fixes landed, and where you can still do better. It rarely jumps on one pass. It climbs over a season of revisions:
- Single translator narrative now carries the package.
- 'Why Yale' names a real professor and argument.
- Activity #9 still buried at the bottom.
- Second supplement still hedges its one risk.
Three single reads barely covers one school's first draft. Unlimited is the version built for the loop: re-read after every revision, run your package against every college, customized per school, from now through decision day. One price for the whole season — and if you ever reach the cap as a real applicant, we just add more turns.
Illustrative numbers — real movement depends on your package, and we never inflate the probability.
Use it for every college. Each read is tailored to that school's actual current prompts.
We've verified the supplemental essay questions each top school asks and what each is known to publicly value. Your Yale read scores against Yale's actual prompts. Your Stanford read scores against Stanford's. We tell you when a generic answer is missing a real anchor for that specific school.
- · Harvard's five required short answers, individually
- · Yale's 125-word Why answers and 400-word essay
- · MIT's pleasure-prompt and collaboration prompt
- · Stanford's roommate letter and contribution essay
- · Penn's school-of-choice fit answers
- · UChicago's yearly extended essay
Most admissions advice is built to sell you more admissions advice.
The college admissions industry runs on a single trick: convince a 17-year-old and their parents that the process is so opaque that only an expensive consultant can decode it. Consultants charge $5,000–$50,000 to read a package, tell you it's "promising," and propose another year of work.
Over years of work, we've collected thousands of those packages — admitted, waitlisted, and rejected — through partnerships with multiple consulting firms and directly from the applicants themselves. The actual signal that gets people in is almost never what consultants tell you. It's a story that fits the school, told with restraint, with evidence in the activities, not the adjectives.
So we built the read itself, and we charge $0.99 for it. The fee exists to keep bots out and let you read your own package the way a calibrated reviewer would, against a corpus that's real and recent.
We will tell you when your reach school is actually a reach. We will also tell you when it's a long shot and a year of essay polish isn't going to fix it. That is the part nobody who is selling you something can afford to say.
How it works
A real evaluation, the kind a serious reader does — done in minutes, not weeks.
Common App essay, supplements, activities list, transcript notes. PDF, Word, or paste-in. First read is free with code FIRSTREAD.
We compare your package to admitted and rejected applicants at that specific school — and score against that school's actual current essay prompts.
Calibrated probability, school-specific prompt fit, strengths/weaknesses, line-level edits, and concrete additions. Then edit, re-run, compare — until it's the best it can be.
- An admission probability calibrated to that school's actual acceptance rate
- School-specific prompt-fit scoring against the current cycle's essay questions
- Strengths and weaknesses, named specifically, not in clichés
- Essay-by-essay scoring with line-level rewrites and a draft rewrite in your voice
- Activities list reordering — which to feature, which to cut, where to add evidence
- Concrete things to ADD if true of you (jobs, awards, family context, supplements you skipped)
- An iterate loop: edit, re-run, compare — until the report stops finding leverage
- Empty “you have such a unique voice!” affirmation
- A consultant trying to upsell you a yearlong package
- Generic, school-agnostic advice you could find on Reddit
- Anything that sounds like it came from a brochure
The archive is the product.
We've spent years building this, and we're the category leader in real admissions outcome data. Partnerships with multiple leading admissions consulting firms — plus thousands of applicants who've shared their packages with us directly — give us the complete files of thousands of admitted, waitlisted, and rejected applicants from the past three cycles. Every essay, every supplement, every activities list, every additional-information note. With the real admit / waitlist / reject outcome attached to every single file. Every file is anonymized with explicit applicant consent. We retire anything older than three years because admissions patterns shift fast — but the active archive grows with every new application season. This is the dataset no general AI model has, and the only way to read your own package against the real ones that won and lost.
A $499 service. Yours to try for $0.99.
This isn't a cheap toy. Reading your package against thousands of real admitted, waitlisted, and rejected files — an archive built over years through partnerships with admissions consulting firms, then trained into a calibrated reviewer — is genuinely a $499 service. That's what the full read is worth, and what Unlimited costs. We keep it that way on purpose: real partnerships, real training, real quality, no corners cut.
Because the fastest way to understand what this is worth is to put your own package in and read what comes back. We want admissions within reach of every applicant, not just the families who can pay a consultant. So your first read is $0.99 — or free with code FIRSTREAD for the first 300 applicants. See the value yourself, then decide.
- Use code FIRSTREAD for $0 on your first read (capped at 300 uses)
- Calibrated admission probability against base rate
- School-specific prompt fit against current prompts
- Strengths, weaknesses, line-level essay rewrites
- Things to add if true of you (jobs, awards, context)
- Iterate loop: edit, re-run, compare against your last draft
- Up to 3 reads per email — then switch to Unlimited
- Unlimited reads from now through decisions — the entire admissions season
- Re-read after every revision, as many times as it takes
- Run against every college on your list — customized per school
- Everything in the single read, every time
- A real applicant who hits the cap? Email us and we add more turns — read on
- Currently paused while we focus on the iterate-and-improve service
- Three anonymized full admitted packages per school
- Pulled from the same archive that powers the read
- Will return — sign up at /evaluate to be notified
On Unlimited: you're buying the whole admissions season — from now through decisions. It's metered at 499 reads, far more than any student needs to iterate freely across a full college list. The cap exists to stop professional resellers, not you. If you're a real applicant who somehow reaches it mid-season, just email us and we'll add more turns. We will never cut you off in the middle of revising.
Questions, answered honestly.
How is this not just ChatGPT with a wrapper?+
Because ChatGPT, Claude, and Gemini have never seen a real admitted package. They were trained on the open internet, and the open internet does not contain last year's admitted Yale essays. We have those — thousands of them, with the real admit / waitlist / reject outcome attached to every single one — built up through partnerships with multiple admissions consulting firms and thousands of applicants who've shared their packages with us directly. The archive grows every cycle. The AI model is the engine. The archive is the fuel.
What does the iterate loop actually do?+
You upload your package, get the long structured report, then revise an essay (or ask the AI to draft a rewrite in your voice). Re-run the read and it tells you what landed compared to your previous draft, where you've improved, and where there's still leverage. We keep doing this until the report stops finding meaningful things to fix. Each iteration is a fresh evaluation; the AI remembers your previous drafts.
Will you rewrite my essay for me?+
We can draft a rewrite of your weakest paragraph in your voice — but every rewrite comes with a visible warning. Selective colleges actively check for AI-generated essays. Treat any draft we give you as a starting point you revise into your own words. Pasting an AI rewrite in as your final essay is the fastest way to get flagged. Use the draft to break out of writer's block, not to outsource the writing.
Can I use it for multiple colleges?+
Yes — and you should. Each read is customized per school. Your Yale read scores against Yale's actual current prompts; your Stanford read scores against Stanford's. We've verified the current essay questions each top school asks and what each is publicly known to value. Run your same uploads against every college on your list.
What's the FIRSTREAD promo code?+
Your first read is free with code FIRSTREAD — capped at the first 300 applicants to use it. After that, $0.99 per read, up to three reads per email. Iterating past that? Switch to Unlimited.
What exactly am I buying with Unlimited?+
One full admissions season of reads — from now through decision day. Run your package as many times as it takes, across every college on your list, customized per school. It's metered at 499 reads only to keep professional resellers out; that's far more than any real student needs to iterate freely. If you're a genuine applicant who somehow reaches the cap mid-season, email us and we'll add more turns. We will never cut you off in the middle of revising.
Is the probability a real number, or just made up?+
It's calibrated against the school's actual acceptance rate and the corpus archetypes. A typical strong applicant at Harvard won't read 40% — it'll read 5–10%. We will not inflate numbers; the whole product is worthless if we do.
What if I have nothing yet — no essays, just an idea?+
Then this isn't for you yet. Come back when you have a Common App draft and an activities list. We grade what's on the page.
What about the Admit Files product?+
Paused for now. We're focused on the iterate-and-improve service first. The archive that powers the reads is the same archive that would power the Admit Files; both products will return.
What happens to my essays after I upload them?+
Stored encrypted in our Postgres database, used to generate your report, and never sent to any model provider for training. You can delete the evaluation any time. Iteration drafts (revised essays + AI-generated rewrites) are kept alongside the evaluation row for the duration of your iterate loop.
Where did the archive come from? Is this even legal?+
We've spent years building it. Multiple admissions consulting firms partner with us, and thousands of applicants have shared their packages with us directly. Every applicant in the archive consented to anonymized use, every file is stripped of personally identifying information, and we only keep cycles from the past three years. The archive grows with every application season.
Upload your package. Get the read. Iterate until it's ready.
Trained on thousands of real admitted, waitlisted, and rejected packages — files no other AI has. Customized per college. First read free with code FIRSTREAD.