Tools for learners at decision points.
Learn to Achieve builds free, open-source data tools and education programs that help under-served learners make better-informed choices — about college, careers, healthcare, and what comes next. We've been doing it since 2017.
Every project below is open source, public-benefit, and built to work without a login. If a public agency, journalist, student, or job-seeker would benefit, we publish it — and we keep publishing it.
Where Medicare drug dollars actually go. Search 28,000+ records, compare brand vs. generic spending, watch the GLP-1 line item climb across quarters. Built on CMS open data — no login, no paywall, source on GitHub.
Open the explorer →A state-partner project mapping healthcare professional shortages county-by-county across California — replacing manual GIS work with a public, validated, AI-augmented pipeline. In scoping with the California Department of Workforce Development.
Partnership brief — coming soonThe data tooling we built between 2018 and 2021 for HSU TRIO and federal college-prep programs (GEAR UP, Upward Bound). Designed to handle student-outcome reporting without a six-figure SaaS contract. Archive maintained; re-deployable on request.
See the legacy stack →The Healthcare Expenditure Explorer is our flagship open-source dashboard. No login. No paywall. No PDF report. Just live data, fast filters, and answers anyone can fork on GitHub.
The same kid who needed a mentor to navigate a college application in 2018 needs a labor-market dashboard to navigate medical residency in 2026. Same job. Different tools.
Public data, plainly built. If a tool we publish requires a login, a paywall, or a six-figure annual contract to access — we've built the wrong thing. Every project ships open source on GitHub, MIT-licensed by default.
From a Del Norte high schooler choosing a college, to a TRIO coordinator filing grant reports, to a medical resident picking a hospital — every learner faces decision points where data is locked behind expertise they don't have. We unlock it.
We've been doing the same job since 2017: helping under-served communities make sense of the systems built around them. The mediums change — mentorship, then SIS tooling, now civic data. The mission doesn't.
State agencies, school districts, county health offices, and federal college-prep programs are not our adversaries. They're underfunded, under-staffed, and over-deadlined. We build them tools that make their work easier, not reports that make them look bad.
From 2017 to 2021, we ran the Achiever Mentorship program at Del Norte High School — an after-school program serving Black, Native American (Yurok and Tolowa), and Hispanic students. Workability paid student jobs, stop-motion animation, graphic design, podcast art, college planning, Family Dinner community nights. The program is no longer running, but the students who came through it are why this 501(c)(3) exists.
That work is the reason we're here. Learn to Achieve was built to serve learners who weren't being served — and it was always going to be a 20-year job, not a 5-year project. The pivot to civic data isn't a departure. It's the same work, played out at the next decision point. The high schooler who needed help applying to college becomes the college student who needs help finding a career. The career-finder becomes the medical student. The medical student becomes the resident choosing a hospital. We follow the learner.
Learn to Achieve has always been a small organization. We've kept it that way on purpose — small teams ship, big teams meet. Below are the people doing the work today, plus the founders and board members who provide governance and continuity across leadership generations.
Joined Learn to Achieve in 2018 as a technical contributor during the Aeries SIS data tooling era. Stepped into the Technical Director role in 2024, leading the organization's data and engineering work — including the U.S. Healthcare Expenditure Explorer and the healthcare and workforce-data programs. Background in computer science with a focus on healthcare analytics, public-data infrastructure, and dashboard tooling.
Joining the L2A team in 2026 to lead our workforce-data partnerships.
Co-founder of Learn to Achieve since 2017. Oversees finance, technology, and the organization's operational continuity.
Sahil Amresh Ratnam — Founded Learn to Achieve in 2017 in Del Norte County, California. Active board member providing strategic continuity across leadership generations.
Roberto Morales — Co-founder, CFO & CTO (operating team, above).
L2A received its 501(c)(3) determination in 2018 (EIN 82-3970859) and was founded with a small group of educators committed to serving under-resourced students in far-north California. The organization is currently in active compliance remediation with federal and California state authorities — a routine cleanup following the post-2021 dormancy of the founding team.
If your work touches healthcare access, public-data infrastructure, workforce development, or college-prep programs — there's a door here for you.
State agencies, school districts, county health offices, federal college-prep programs — if you have a public-data problem and no budget for a vendor, that's our specialty.
Start a conversation →Open-source, MIT-licensed, Python and SQL forward. PRs welcome on every repo. We onboard new contributors with a working doc and a single-issue starter task.
Browse GitHub →Every dollar funds public-benefit data infrastructure that the private sector won't build — because no one can be charged for it. EIN 82-3970859.
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