Everyessay
AI essays, trained on winning human-briefs.
261 followers
AI essays, trained on winning human-briefs.
261 followers
EveryEssay isn’t trained on guesses. It’s trained on people who already won. Instead of hallucinating what reviewers want, the AI learns from real alumni essays, acceptance letters, and proven evaluation rubrics. No source, no output. The AI stays locked until enough human-verified wins unlock it. What you get isn’t a template or polished fluff—but the exact logic behind essays that passed. Not AI writing for you. AI backed by human proof.
Everyessay
The 'Moneyball' approach to essays is brilliant. I'm curious about the dataset bias though: Is it currently US-centric (Ivy League/Common App), or does it also cater to UK/European university application styles which are usually more academic and less 'story-driven'?
Everyessay
@liusally4 Hi Sally 👋 Great point! while we started strong with US/UK scholarships, we actually covers the biggest programs globally, from Japan to Turkey and top scholarships across continents. The guidance isn’t “story-first,” it’s always rubric-driven, and as we add more contributors from different regions, the advice shifts to match how those programs evaluate applicants, more academic where it’s needed
SigniFi
This is a game changer for transparency. The 'no source, no output' philosophy is exactly what's needed to fix AI hallucinations in EdTech. 👏 One question on the supply side: How do you incentivize alumni to share their winning essays and rubrics? Do they get a cut of the revenue?
Everyessay
@yoang_loo Love the curiosity 😊
We don’t pay alumni to sell essays, also, we never store raw content. From hundreds of verified contributors, we extract only anonymized patterns that can’t be traced back. The real incentive is opportunity; contributors are verified by level, featured in our Mentorship Hall, receive inbound mentoring requests, and can offer paid human-check reviews. 100% goes to them. In many cases, this is far more rewarding than a one-time payout. The AI doesn’t replace humans; it amplifies them, ethically 👏
Really interesting concept. Curious how you make sure the insights stay relevant across different program and situations, especially as expectations and evaluation styles keep changing over time?
Everyessay
@muhammad_hafizh_zhafran Totally fair, Zhafran. Insights are updated per program, so they stay relevant. Old tips naturally fade unless reinforced by newer winners. That way guidance stays fresh, not outdated.
Everyessay
@yusroh Hi Yusroh! thanks for noticing 🙏 You’re right, the auto-scroll is a bit subtle. We’re testing tweaks so social proof pops more without losing the calm, clean vibe.
Thank you, really appreciate the thoughtful feedback 👏
I like the mission here.
How do you handle permissions and copyright for essays used to train, so you stay on the right side ethically?
Product Hunt Wrapped 2025
First-gen here. Spent nights rewriting the same 500 words. This feels more fair. Like the no-source lock. I'm curious how you handle consent from alumni and keep outputs from sounding like a copy of past winners.