ChatGPT read the internet. A $5,000 consultant just wants to keep you booking. We've read the files.
Through partnerships with multiple leading admissions firms — and thousands of applicants who've shared packages with us directly — we've built the largest private archive of real application files outside an admissions office. Admits, waitlists, and rejects from the past three cycles, with the real outcome attached to every single file.
No general AI has them. No $5,000 consultant has read this many. For 99 cents, find out where your package actually lands.
- 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 once — no incentive to keep you around
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, supplemental essays, activities list, transcript notes. PDF, Word, or paste-in.
We compare your package to admitted and rejected applicants at that specific school from the past three cycles.
Calibrated probability, line-level essay feedback, activity priorities, narrative coaching, and a list of what to do next.
- An admission probability calibrated to that school's actual acceptance rate
- Strengths and weaknesses, named specifically, not in clichés
- Essay-by-essay scoring with line-level rewrites and a model rewrite
- Activities list reordering — which to feature, which to cut, where to add evidence
- Narrative analysis: is your application telling one story, or four?
- An honest verdict — including when to redirect your effort to a different school
- 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
A real report, abbreviated.
The real one runs ~4,000 words and is specific to your package. This is what it looks like.
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.
You're closest to two admitted Yale archetypes: the “quiet humanist” (Princeton 2023) and the “arts + intellectual” cellist who named a disagreement with a Yale professor in her supplement. The cellist's essay-to-supplement coherence is what you're missing.
Your package is trying to tell two stories: a translator (essay) and a future lawyer (activities, supplements). Pick one. The translator story is rarer and far stronger; the lawyer story is something Yale reads 800 times a cycle.
- Voice in the Common AppRestrained, sentence-level writer. Rare in the pile.
- Activities have proof, not adjectivesNumbers and dates exist where they should.
- Single specific intellectual interestTranslation work named with depth.
- Why Yale reads as brochure-fluent“Vibrant intellectual community” is what they're looking to filter out, not in.
- Activities #2 and #6 tell the same storyPromote #9 instead — it's the only non-academic risk in the file.
- Supplement undermines the essay's restraintThe supplement says what the essay refused to say.
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.
Paragraph 3 lapses into “this taught me about identity.” Cut that sentence. The image is doing the work; the gloss makes it less, not more.
“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.”
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.
Priced so you can't lose.
The single read is a dollar because metering keeps the bots out. The other options are for applicants who need more.
- Calibrated admission probability against base rate
- Strengths and weaknesses, school-specific
- Essay-by-essay scoring with line-level rewrites
- Activities reordering and additions
- Narrative coaching — is it one story?
- What to do next, ranked
- Run up to 499 evaluations across any schools
- Re-read after every essay revision
- Compare your package across 8–12 schools
- Same depth as the single read, every time
- The asterisk is at 499 to keep professionals out
- Three anonymized full packages from admitted applicants
- Pulled directly from our archive — same files our system reads
- All essays, activities, supplements — exactly as submitted
- Pick any school from our covered list
- Optional add-on; not required for the read
* Unlimited meters at 499 evaluations across 9 months. This is to stop professional resellers, not students.
Questions, answered honestly.
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.
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 over years 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. Without the archive, you get the same generic advice as everyone else.
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.
Will the report just tell me I'm great?+
No. The reports that tell people they're great when they're not are why the consultant industry exists. We will tell you if a school is out of reach. That's the entire point.
What happens to my essays after I upload them?+
Stored encrypted, used to generate your report, and never sent to any model provider for training. You can delete the evaluation any time.
What's the difference between the read and an Admit File pack?+
The read evaluates your package against our archive. An Admit File pack lets you see three full admitted packages for a specific school — pulled from the same archive — so you can read them yourself. They're independent products. Most applicants only want the read.
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.
Stop guessing. Find out your real odds for 99 cents.
Less than a dollar, fifteen minutes, and the truth about where your entire package actually stands — read against thousands of real applications that won and lost at your school.