Sample funder match
How WE CAN LEARN stacks up for Riverside Youth Coding Academy.
This is the same funder analysis Kindora delivers to a real nonprofit user — fit verdict, alignment notes, giving footprint, and recommended next steps. The funder is real; the sample analysis was generated for a fictional Bay Area youth STEM nonprofit.
WE CAN LEARN
EIN 38-4065487
Fit score
86
Fit analysis
Why this funder ranked where it did against the sample org's mission and programs.
WE CAN LEARN appears to be a strong prospect for Riverside Youth Coding Academy based on clear mission overlap, demonstrated geographic activity in the East Bay, and a documented preference for nonprofit, non-school organizations serving young people through education and technology-enabled learning. The funder’s actual grant history is heavily concentrated in California, with 91.3% of total grant dollars going to CA and two grants in Oakland totaling $2,009,794, which is the strongest possible geographic signal for an East Bay youth-serving education nonprofit. Programmatically, Riverside’s free coding cohorts, in-school and out-of-school delivery, teacher/instructor support systems, and focus on pathways for highly at-risk youth align closely with the funder’s stated priorities in education, out-of-school-time programming, educational technology, teacher support, and equitable access to learning. The main caveat is organizational-data opacity: Riverside’s budget, age, employee count, and exact service geography are not specified, so organization-fit conclusions are necessarily partial. Even so, based on available evidence, this is worth pursuing as a high-priority opportunity.
Strategic framing
Position Riverside Youth Coding Academy as an implementation-ready nonprofit partner that expands equitable access to rigorous technology-enabled learning for underserved youth in Oakland/East Bay. The strongest framing is not 'coding for its own sake' but 'equitable academic and career-connected learning through structured cohorts, trained instructors, and measurable student progress.' The proposal should translate Riverside’s coding model into the funder’s language: education technology, supplemental learning, out-of-school-time programming, instructor support, and access for highly at-risk learners. A concise, evidence-driven request for software, training, instructional infrastructure, or data systems will likely resonate more than a broad growth pitch.
What's working
- Strong city-level geographic match: WE CAN LEARN has documented grantmaking in Oakland, and 91.3% of total dollars went to California.
- Clear issue alignment with education technology, K-12 learning, out-of-school-time programming, teacher/instructor support, and educational equity.
- Riverside’s free model and paid teen apprenticeship pathway can be positioned as serving highly at-risk learners and removing barriers to access.
- The funder appears open to first-time grantees, with a 100% new-grantee rate in the recent dataset.
What's marginal
- Riverside’s exact headquarters, operating footprint, budget, staff size, and age are not provided, limiting confirmation of fit against the funder’s typical grantee profile.
- The funder’s clearest documented program is technology access tied to Edmentum software and implementation support; Riverside will need to show how its coding academy can use or benefit from that kind of educational technology support.
- No known personal or institutional connections to WE CAN LEARN staff or board are identified in the provided data.
- The foundation’s grantmaking is highly concentrated, so even strong alignment does not guarantee an award without a compelling project-specific case.
Programs that match
- Technology Access Grants (We Can Learn)
What we'd want to confirm
- Can Riverside clearly document that it is an independent nonprofit non-school organization rather than a school-operated program?
- Can Riverside show established staff capacity, instructor training systems, and implementation readiness, which the funder explicitly values?
- Can the project be mapped to educational technology access, software, training, consulting, or measurable instructional support rather than general expansion alone?
- Does Riverside have outcome data—attendance, persistence, skills gains, internship/apprenticeship transitions, or school-course enrollment changes—to strengthen the case?
- Is Riverside’s core geography specifically Oakland/East Bay, and can that be made explicit in all materials?
Suggested next steps
- Verify Riverside’s IRS 501(c)(3) standing, annual budget, staff size, and years of operation before outreach so the case can be matched against the funder’s typical grantee profile.
- Monitor WE CAN LEARN’s website and contact info@wecanlearn.org to confirm when the application process reopens and whether a brief inquiry is welcome in advance.
- Prepare a tightly scoped request centered on technology-enabled student learning, cohort management, instructor training, and measurable academic/engagement outcomes rather than broad organizational growth.
- Lead with Oakland/East Bay service geography and emphasize that the funder already has substantial documented grantmaking in Oakland and California.
- Frame Riverside as a nonprofit non-school implementation partner that expands equitable access to STEM learning for underserved youth in both in-school and out-of-school settings.
- Develop a project budget in the $6,000-$10,000 range for initial outreach, with a stronger optional case at $15,000-$18,580 if the funder signals interest.
- Include evidence of established community engagement, district partnerships, implementation readiness, and staff capacity, since these are explicit funder preferences.
- If possible, identify whether any Bay Area tech-company mentors, district leaders, or board contacts overlap with WE CAN LEARN leadership or existing grantees such as Breakthrough Collaborative.
Generated by Kindora's AI from the funder's public 990 filings, public website, and aggregated public grant history.
Funder snapshot
Capacity and giving footprint at a glance — drawn from the latest public 990 filings.
Total assets
$167k
Annual giving
$2.2M
Geographic scope
National
22% in MN
Application mode
Not specified
| Grant size | 25th percentile | Median | 75th percentile |
|---|---|---|---|
| Range across recent grants | $4k | $19k | $45k |
The We Can Learn Foundation is sharply focused on supporting education innovation, with the bulk of its funding going to development and dissemination of educational software and assessment tools. Most grants flow to a small set of recurring partners that operate K–12 and youth education programs or education-related research, with occasional modest international relief/education support. Their giving signals a preference for operational and programmatic support that advances measurement, curriculum delivery, and direct services for young learners.
Source: Latest public IRS Form 990 / 990-PF filings and aggregated public grant histories.
Focus areas
Themes Kindora extracted from the funder's public profile, program pages, and grant history.
Programmatic focus
Funding philosophy
Beneficiary types
Source: Public funder websites, public program pages, and AI synthesis of public 990 filings.
Recent giving signals
A look at where this funder has placed grants recently — useful for benchmarking and warm-intro paths.
Notable grantees
Stated focus areas (from public profile)
- Educational assessment and instructional software (platform development and deployment)
- Out-of-school time and youth development programs tied to curriculum use (e.g., Breakthrough-style academic programs)
- Education-focused research and clinical/medical research institutions with educational components (e.g., training, assessment at research hospitals)
- Education support in refugee/low-resource settings (cash-for-school in Nakivale)
Source: Public 990 grant lists and the funder's own published program descriptions.
Take the next step
Go deeper on this funder.
In the live product, briefs are generated for your top matches first. The sample org has briefs for 7 funders.
Sample analysis — generated for fictional org against real public funders
Sample data: Riverside Youth Coding Academy is a fictional 501(c)(3). The fit score, verdict, and rationales above were generated by Kindora's real matching and AI fit-analysis pipelines using public IRS Form 990 filings, public funder websites, and aggregated public grant histories. The funder is real.
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