your-project.com
01 · Live project
A working product with its own link
✓Shipped
✓Clickable
✓Built by you
High school · AdmissionsUniversity · Careers
In two months, design, build, and ship a real, working AI project one-on-one with an expert mentor — the extracurricular admissions officers remember, and the most convincing proof of initiative you can show.
One-on-one expert mentorshipShipped in 2 months — guaranteedWeekly parent updates
Led by Berkeley engineers and two 99.95-ATAR state duxes · 2,000+ students taught
The numbers don't lie
How competitive is it, really? The data says it plainly.
All of this is published admissions data: more applicants every year, higher bars every year. The earlier you start, and the more real your proof, the calmer application season gets.
0.00%
MIT's admit rate for international applicants, Class of 2029 — 136 offers from 6,926 applications (5.36% for US students).
MIT Admissions · Class of 2029
0.0M
first-year applications through the Common App in 2024–25 — past ten million for the first time, up 8% in one year.
Common App End-of-Season Report, 2025
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Chinese applicants to UK universities in the 2025 UCAS cycle — an all-time record, up 10% in one year.
UCAS 2025 · The PIE News
2025 UK applications: AI degrees vs computing overall
computing overallAI degrees
Application growth, year over year
−10%
+12–15%
And the skill isn't just for applications: AI-skilled workers earn a 56% wage premium.
Sources: MIT Admissions 2025 · Common App End-of-Season Report 2024–25 · UCAS 2025 via The PIE News · BCS analysis of UCAS 2025 (AI degrees +15% women / +12% men; computing overall −10%) · PwC AI Jobs Barometer 2025
Success stories
From top-university students to an NVIDIA engineer — all carrying work built at Lantr.
Every student ships a real project with their mentor: some carry it into applications, some into recruiting, and some build their first real engineering experience alongside university.
Successfully admitted
University of Washington
“I'm not a CS student and I was worried I couldn't keep up. David broke the weekly tasks down clearly, I could always ask when I got stuck, and in six weeks the product was live — my parents actually use it now. I genuinely feel like I learned a lot.”
Kaitlin
Autonomous AI fitness coach · analyzes gym videos & set data · shipped in 6 weeks
Student project story
Columbia University
“After I got to campus, I joined a real project with Lantr and Predexon. What put me at ease was having clear goals and real output every week — Larry didn't just point directions, he designed, coded, and iterated alongside me. When it shipped, I had work I could show and real experience I could go deep on in interviews.”
Michael
Predexon AI · Web3 content agent · shipped in 8 weeks · LinkedIn & X integration
Successfully hired
NVIDIA
Systems Engineer
“Jason helped me enormously. He went through my code every week, held me to an industry standard, and helped me get the whole pipeline running reliably. A lot of my interview questions turned out to be things we'd already discussed. The project definitely played a part in landing NVIDIA.”
Jared
Financial data for quant backtesting · AI-cleaned & categorized · shipped in 7 weeks
The team behind them — your mentors run Predexon, a venture-backed US$5M Silicon Valley AI data startup.
UC Berkeley engineering · Top-25 SWE-bench agent
The final handoff
What is actually yours when the project is done?
Not just the memory of a course. The shipped product, demo, case study, and source files are organized and ready to use.
02 · Demo video
Two minutes that make the work easy to understand
03 · Case study
Problem, process, result
04 · Full handoff
Code & project files
Applications
01A stronger activity and a real essay story
The live project gives admissions officers something they can open; the build gives the student a specific experience to write about.
Interviews
02A topic the student genuinely owns
The short demo makes the work easy to grasp, while the student can explain every decision when questions go deeper.
After enrollment
03Work and skills that keep compounding
The code, portfolio, and ability to build remain useful for internships, research, and the next idea.
Every file stays with the student.
How it works
From first call to shipped project — two months
01Week 1 · a conversation
Discovery
A relaxed call with you and your parents — your interests, strengths, and schedule, with every question answered.
- 30 minutes, students and parents together
- Every question answered
- No obligation
02Week 1 · a plan, in writing
Personalized plan
A project designed around who you are and where you're headed, with a hand-picked mentor and a week-by-week roadmap to a two-month ship.
- Hand-picked mentor match
- Roadmap set up in the Lantr Portal
- Shared with your family
03Weeks 2–7 · one-on-one
Guided one-on-one build
Weekly private sessions where you build the real thing with your mentor beside you — with tasks and progress running in the Lantr Portal between sessions.
- Private sessions with your mentor
- Tasks & progress in the Lantr Portal
- Professional tools, real code
04Weeks 6–8 · proof it works
Real validation
Tested with real data and real users where possible — because “it works” should mean it actually works.
- Real data, real test environment
- Real users where possible
- Edge cases found and fixed
05Week 8 · the handoff
Demo Day & portfolio handoff
You present your finished project to the founding team — Berkeley, Amazon & Databricks engineers — and we hand over the complete portfolio.
- Live build · demo video · case study
- Application-ready portfolio
- Yours forever
Our platform
The Lantr Portal: every step guided, every step visible
Our own learning platform breaks the project into week-by-week tasks: your mentor assigns, checks, and reviews, so no step goes unguided — and parents have their own page showing exactly what's been learned and built.
Explore the Lantr Portal
01
Tasks, progress, and reviews
Your mentor assigns tasks, tracks progress, and reviews every deliverable — the full workflow of a real engineering team.
02
Personalized learning modules
Lessons matched to your project and your starting point, delivered exactly when the build needs them.
03
Developer tools, provided
Every tool and resource the project needs comes set up in the portal — no environment wrangling.
04
Book your mentor in one click
Schedule one-on-one sessions directly inside the portal.
05
A parent view of progress
Weekly reports and project milestones, visible to parents in their own portal.
Past student projects
A selection of past student builds
Browse by interest and intended major — and find your direction.
01Adaptive coachMedicine & Health
for the future physician
Alumni · Kaitlin → UWAn autonomous AI fitness coach: analyzes gym videos and set, rep, and weight data, then designs and keeps iterating training plans for beginners.
02Document AILaw & Policy
for the future attorney
A contract-risk review engine: checks real agreements clause by clause against statute and precedent, and generates a red-flag report.
03Data pipelineFinance & Investing
for the future investor
Alumni · Jared → NVIDIAA financial data system for quant benchmarking and backtesting: collects market and filings data, with AI-driven cleaning and categorization.
04Autonomous agentBusiness & Startups
for the future founder
An automated lead-generation engine: finds prospects, drafts personalized outreach, and tracks conversion end to end.
05Content engineMarketing & Media
for the future storyteller
Student case · Michael, ColumbiaA content-marketing agent wired to LinkedIn and X: understands a company's business, then writes and publishes customer-acquisition content on its own.
06Code agentComputer Science & Data
for the future software engineer
An AI code-review agent wired into GitHub: reviews pull requests automatically, flags issues, and suggests fixes.
The team behind the program
Built by people who've lived it.
Lantr was founded by three Berkeley engineers who today run Predexon, a venture-backed startup valued at over US$5M, whose team, together, has already taught and mentored more than 2,000 students. Between them they've excelled in every major school system: the Australian ATAR, Cambridge IGCSE & A-Levels, American AP, and the IB. Their mission: prepare the next generation of ambitious students for a world being rebuilt by AI.
Larry Pang
Co-founder · CS & Mathematics, UC Berkeley
Moved from China to Australia at 13 barely speaking English; graduated dux of Trinity Grammar School, Melbourne with a 99.95 ATAR in VCE, the only student in 2021 with perfect scores in Maths Methods, Specialist Maths, and Physics. His perfect ATAR earned the Chancellor's Scholarship, worth A$10,000 a year at Australian universities. Founded an edtech startup at 16, scaling it to 300 students before Berkeley. Received 5+ offers of US$300K+ from Big Tech and unicorns (Amazon, Databricks, and Applied Intuition among them) and now builds venture-backed Predexon.
Jason Lee
Co-founder · CS & Mathematics, UC Berkeley
Has taught thousands of students, including 200+ through the premier New Zealand tutoring agency he's run since his own high school years at King's College, Auckland, where he completed six and a half Cambridge A-Levels, earning a 99.95 ATAR and the Chancellor's Scholarship, worth A$10,000 a year at Australian universities. Built a top-25 coding agent on SWE-bench, drew multiple Big-Tech offers of his own, and has shipped software at Amazon, startups, and Silicon Valley's top companies. A member of the Forbes Business Council, with editorials published on Forbes.
David Qu
Co-founder · EECS Honors, UC Berkeley
Took the American AP route at Punahou School, Honolulu, then graduated from Berkeley's highly selective EECS Honors program, reserved for the engineering school's top CS talent. Agent-systems researcher since 2023, with multiple Big-Tech offers and industry ML experience at Amazon, startups, and across Silicon Valley. The technical depth behind every student's build.
Dylan Lee
Founding Mentor · CS, Applied Math & Economics, Vanderbilt
A career of shaping high achievers: over ten years of teaching, with more than 1,000 students taught. An IB Top Scholar who earned three degrees at Vanderbilt in Computer Science, Applied Mathematics, and Economics; built software at Goldman Sachs for three years; worked in venture capital at Icehouse Ventures, New Zealand's leading early-stage firm; and co-founded a startup of his own.
0×
Chancellor's Scholarships: Larry and Jason, each on a perfect 99.95 ATAR
0+
students taught and mentored across the team before Lantr
$0M+
Predexon, the venture-backed startup they founded and run today
Millions
of users on AI products they've shipped
The Premier Admissions AI Program
No packages. One program, built around you.
Everything — the project, the mentor, the pace, the timeline — is scoped in one free discovery call, then tailored around your application goals.
Always included
- Hand-picked private expert mentor, one-on-one
- Full access to the Lantr Portal — tasks, modules, and booking in one place
- Dedicated personal advisor for your family
- Weekly written parent updates
- Full portfolio: live build, demo video, case study
- The 2-month ship guarantee
Tuition is quoted in writing after your call, before any decision — no pressure, no obligation.
The 2-month ship guarantee.
A working AI project and a complete portfolio, shipped within two months, or we keep working one-on-one, at no additional cost, until it ships.
We guarantee the project and portfolio — not admission or hiring outcomes.
— The Lantr founding team · Berkeley, Amazon & Databricks engineers
Questions applicants & parents ask
Frequently asked questions
Yes — that's exactly what it's designed for: an activity-list line admissions officers can actually click, the backbone of an essay, and a story you can tell in every interview. No project can guarantee an offer — but a real, shipped AI project is the strongest evidence of initiative and skill you can put in front of an admissions officer.
It's not too late — the project runs on an eight-week roadmap, so even a start late in Grade 11 ships before application season. Earlier is still better: it leaves room for a second project and real users.
Your project follows an eight-week roadmap from first call to Demo Day; if it isn't live by the end of week eight, we keep working with you one-on-one, free, until it ships. The guarantee covers the project and portfolio — not admission or hiring outcomes.
No — most of our students start with little or no coding experience, and with an expert mentor one-on-one, beginners genuinely build and ship real projects; the learning modules and dev tools all come set up in the Lantr Portal. There's no entry test and no grade bar: curiosity and a few hours a week are all it takes.
Every program is fully customized — the depth of mentorship, project scope, and timeline are set on your discovery call. You'll receive a written recommendation with exact tuition before you make any decision, with no pressure or obligation.
Something else on your mind? Ask us on your discovery call →
The next step.
Book your free discovery call. Start your two-month build.
A relaxed, no-obligation conversation about the schools and majors you're aiming for — students and parents both welcome.
Get Started
team@lantr.ai2-min form · 30-min call · no obligation