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A Field Report · 2014 → 2026

Twelve years of Opportunity Hack, in numbers.

Across 21 hackathons on three continents, 4,076 hackers registered to build technology for nonprofits — and 1,080 of them shipped. This is what their data tells us about how social-good hackathons actually work.

Who this is for: people who run hackathons (and want patterns they can use), corporate teams considering a hackathon-for-good as a community initiative, and anyone curious about how a volunteer-run event grew from one San Jose weekend into a multi-year, multi-format program. If you're thinking about hosting your own hackathon — or sponsoring ours — start here.
21 hackathons4,076 registrants1,080 shipped projects73 countries12 years
26.5%
Avg. completion rate
Registration → submitted project
39.2%
2025 completion rate
~2× the 2014–2022 baseline
219
Repeat hackers
Came to two or more events
5
Three-time finishers
Hackers who shipped 3+ times
01 / The Story

From one San Jose weekend to a multi-format, year-round program.

Opportunity Hack started as a single hackathon in October 2014. It grew, stalled, pivoted through COVID, and emerged with a more flexible event design. The history breaks cleanly into four eras.

Founding
2014 — 2015
A San Jose pilot in 2014, then a five-event explosion in 2015 spanning three countries — San Jose, Arizona, Bangalore, Chennai. The single biggest year by registrations in the entire history.
2014-10-11
OHack San Jose
San Jose · hackathon
2015-10-03
OHack San Jose
San Jose · hackathon
2015-10-10
OHack Arizona
Arizona · hackathon
2015-11-29
OHack Bangalore
Bangalore · hackathon
2015-11-29
OHack Chennai
Chennai · hackathon
Arizona Era
2016 — 2019
The international expansion didn't repeat. OHack settled into an Arizona base, with corporate-sponsored extensions to Atlanta (PayPal Hack, 2018) and Chicago (PayPal Hack, 2019). Smaller years, but steadier completion rates.
2016-10-01
OHack Arizona
Arizona · hackathon
2017-10-21
OHack Arizona
Arizona · hackathon
2018-10-12
OHack Atlanta
Atlanta · hackathon
2018-10-20
Opportunity Hack 2018
Arizona · hackathon
2019-10-11
OHack Chicago
Chicago · hackathon
2019-10-19
OHack Arizona
Arizona · hackathon
COVID Pivot
2020 — 2022
In-person events were impossible. OHack experimented: a summer internship, virtual hackathons, an ASU capstone partnership. Registration volume collapsed (244 in 2020, 88 in 2021, 114 in 2022), and completion rates dipped to a 10-year low. The format was being rebuilt under fire.
2020-06-10
COVID Internship
Virtual · internship
2020-11-16
November Hackathon
Global · Fall Hackathon
2021-10-18
Economic Empowerment for All
Global · Fall Hackathon
2022-01-31
ASU Capstone: Girard Training Stables
ASU - Virtual · capstone
2022-12-10
November Hackathon
Arizona & Global · Fall hackathon
2022-12-11
OHack '22 Completion
Global · Hackathon Completion
Modern OHack
2023 — 2026
A more diverse event mix: in-person hackathons, virtual sprints, completion programs, pre-hackathons, high-school events, and a Cal Poly Humboldt expansion. The format flexibility appears to be paying off — completion rates have climbed past 30%.
2023-05-01
Equestrian Scheduling
Global · Virtual
2023-07-15
Make a Difference in the Lives of Teens
Global · Virtual
2023-10-07
October 2023 Hackathon
Tempe, Arizona @ ASU & Global · Fall Hackathon
2023-10-25
October 2023 Hackathon Completion
Global · Completion
2024-02-09
High School Hack for UN's 17 Goals
Online · hackathon
2024-08-10
OHack 2024 - Pre-Hackathon vSWE Program
Virtual · pre_hackathon
2024-10-12
OHack 2024 - Arizona Hackathon
ASU G Wing - Tempe, AZ · hackathon
2024-10-14
October 2024 Hackathon Completion
Global · Completion
2025-03-08
Cal Poly Humboldt Hackathon for Social Good
Harry Griffith Hall, Arcata, CA · hackathon
2025-06-06
Summer Volunteer Internship
Online · hackathon
2025-10-12
ASU Fall Hackathon 2025 — Phoenix Coding Competition
ASU Engineering Center G Wing — Tempe, AZ · hackathon
2026-03-28
ASU WiCS Hackathon — Nonprofit Innovation Challenge
Tooker eSpaces — Tempe, AZ · hackathon
02 / The Funnel

Three of every four registrants never ship a project.

Across the full history, the registration → submission rate sits at 26.5%. That's the universal hackathon problem: getting people to sign up is easy, getting them to ship is hard. The good news is that completion has been climbing meaningfully since 2022 — recent events run 30–40%, double the historical baseline.

PatternCompletion rate is structurally improving. The collapses in 2020 and 2022 track real disruption (COVID, format reinvention). The recovery from 2023 onward reflects a more deliberate event design — described in the lessons section below.

Caveat: 2026's 71% rate is inflated because the dataset for that year is filtered to invited/accepted-only flows. Treat post-2023 trend as directional.

03 / The Biggest Lever

Team status at registration is the strongest predictor of who ships.

Hackers who register with a team submit at 39.7%. Those still looking for one drop to 17.8%. Solo hackers crater at 9.8% — a 4× gap. The same pattern shows up cleanly on the project side: solo projects ship 46% of the time, while three-or-more-person teams ship 93%+ of the time. This is the closest thing to a universal law in the dataset.

Universal PatternIf a hackathon wants to move its completion rate, solving "I don't have a team" is the highest-leverage problem. In this dataset, 959 registrants said they were solo or looking — had they all found teams, expected submissions would have roughly doubled.
04 / Where Hackers Come From

Listing platforms bring volume. Friends and direct outreach bring finishers.

Four channels do almost all the work: friend referrals (606), DevPost (463), school/club (331), and direct from organizer (278). But quality is wildly uneven. Hackers who heard about the event on DevPost finish at 11.9%. Hackers who heard from a friend finish at 34%. Hackers who heard directly from the organizer finish at 39.2%. Returning alumni finish at 75%.

PatternPublic listing platforms are top-of-funnel awareness, not commitment. The signups that actually ship come from people who heard about the event from someone they trust — a friend, a professor, the organizer themselves. This pattern almost certainly generalizes beyond OHack.
05 / Who Shows Up

An anchor school, a developer-heavy crowd, two strong country bases.

Geography is heavily concentrated. Arizona State University alone supplies 985 registrants — about 24% of the entire history. ASU + Arizona cities account for over a quarter of all signups. Outside Arizona, San Jose, Chicago, and Atlanta form a secondary cluster, each tied to a specific corporate-sponsored event series. This "anchor school" pattern is common in nonprofit hackathons: a single committed academic partner generates most of the volume.

ObservationFull-stack developers are both the largest segment and the highest converter among major roles (32%). Product managers and business folks register but rarely ship (≤16%) — almost certainly because they can't deliver code alone, which loops directly back to the team-formation problem in §03.
06 / Behavior

Late registrants finish. Repeat hackers compound.

The closer to the event a hacker registers, the more likely they are to ship. Same-day registrants finish at 44%. Hackers who signed up 31–60 days early finish at 18%. Long lead times signal weak intent. On the loyalty side, 219 hackers have shown up to two or more events — and they convert at 42%, nearly double the first-timer rate. But the multi-time finisher tail is small: only 51 hackers have ever submitted projects at more than one event in twelve years.

PatternThe "alumni hacker" is real but rare. 973 people have shipped exactly one project, 46 have shipped two, and only 5 have shipped three. Nobody has ever shipped four. Either people graduate out of the format (into mentor/judge/sponsor roles), or there's a natural ceiling on hackathon participation that's worth understanding.
07 / What Gets Built

JavaScript-heavy, modern, increasingly leaning on managed backends.

Across 13 years of submitted projects, JavaScript / Python / React dominate the long-tail counts. But the modern additions — TypeScript, Next.js, Tailwind, Supabase, Firebase — show projects increasingly leaning on managed services that compress time-to-MVP. This stack evolution probably contributes to the rising completion rate in §02: it's measurably easier to ship a working app today than it was a decade ago.

08 / What Hackathon Hosts Can Take From This

Five patterns the data argues for — broadly applicable beyond Opportunity Hack.

These aren't OHack-specific recommendations. They're patterns that emerge from twelve years of registration and submission data, and they're likely to repeat at any hackathon with a similar structure (multi-day, project-based, open registration, social-good or technical theme).

1

Treat solo registration as a problem to solve, not a state to allow.

Solo hackers finish at 9.8%. Teamed hackers finish at 39.7%. The single highest-impact change a hackathon can make is to put real product effort into team formation before the event starts — not as an afterthought during the kickoff. Matchmaking flows, "looking for a team" boards, and forced team-join steps at registration would all raise the completion floor.

Evidence: §03 · 4× completion gap between solo and teamed registrants
2

Don't confuse listing platforms with recruitment channels.

DevPost-sourced registrants finish at 11.9% — about a third of the rate from friend referrals (34%) or direct organizer outreach (39%). Public listing platforms are useful for awareness but should not be where most marketing energy goes. Word-of-mouth and direct outreach are 3× more efficient on a per-finisher basis.

Evidence: §04 · DevPost 11.9% vs Friend 34% vs Organizer 39%
3

Keep registration open until the event starts.

Same-day registrants finish at 44%. Hackers who signed up over a month early finish at 18%. Many hackathons close registration two weeks early "for planning purposes" — that decision systematically cuts off the highest-intent segment of the audience. Late registration is high-intent registration. Plan for a day-zero surge instead of fighting it.

Evidence: §06 · 0–1 days out at 44% · 31–60 days at 18%
4

An anchor school is a strength — but track the concentration risk.

OHack's relationship with Arizona State produces 24% of all registrations at a 35% completion rate. That's an excellent partnership. But it's also a single point of failure: a policy change, a curriculum shift, or a key contact leaving could halve the funnel overnight. The lesson for any hackathon: name your anchor partnerships explicitly, measure the concentration, and proactively cultivate two or three more before you have to.

Evidence: §05 · ASU = 985 registrants, 24% of total · Top 3 schools = 35% combined
5

Multi-time finishers are rare. Treat the ones you have like family.

Across twelve years, only 51 hackers have ever shipped projects at more than one Opportunity Hack event. Five have shipped three times. Zero have shipped four. That's a small number — and it argues against mass-email "alumni newsletters" as the right tactic. The right tactic is high-touch, named-relationship outreach: invitations to mentor, advise nonprofits, judge, or recruit teammates from new cohorts. Help your alumni stay in the ecosystem after they age out of competing.

Evidence: §06 · 51 multi-time finishers in 12 years · Repeat conversion 42% vs first-time 24.6%
09 / If You Take Anything From This Report

Three ways to put twelve years of social-good hackathons to work.

We've spent over a decade learning what works (and what doesn't) when you run a hackathon for nonprofits. If any of the patterns above are useful for your team, here's how to put them into practice — whether that's hosting your own event, partnering with us, or just staying in touch.

Opportunity Hack · A Field Report from 12 YearsSources: DevPost project + registrant exports, OHack hackathons table · 2014–2026Free software for nonprofits →
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