← Hackathon

Post-event report

Cursor Hackathon Myanmar

29 August 2026 · Yangon & nationwide (hybrid)

A look back at Myanmar’s first AI-driven hackathon — who applied, what builders tackled, and how the day reached people across the country.

At a glance

Key outcomes

  • 01

    Hybrid build day

    Builders joined in Yangon and remotely across Myanmar for a full day of shipping with AI.

  • 02

    Six challenge tracks

    Teams picked a partner challenge and shipped under one shared clock.

  • 03

    Winners named

    Overall champions plus Daiichi Life and 1CNG partner awards.

  • 04

    Livestream reach

    4,800 views and 2,350 viewers on the shared recording collection.

  • 05

    Social reach

    377,575 Facebook post views in the four weeks around the event (+295.2% vs the prior window).

Open photo folder

Password: 0829

Results

Winners & finalists

Finalist teams and solo builders recognized on stage — including overall winners and partner special awards.

Finalists

Who made the shortlist

Top 6 finalists

  • Remote

    John Saw Min

    ThriveAI-UAB

    ThriveAI is a Burmese-first AI financial decision copilot for Myanmar SMEs, built for the UAB Bank track. It helps owners answer questions like “Can I safely open another branch?” when revenue growth and cash reality diverge. Using three synthetic SME profiles, ThriveAI calculates business health, cash runway, liquidity, and overdue invoice priorities with a transparent TypeScript finance engine. Owners see an amount-first next-best action, an auditable Cash Bridge (expand now vs collect first), and editable what-if scenarios. The interface supports true English / မြန်မာ locale mode. Optional AI interprets Burmese or English questions and ranks evidence-backed actions—without inventing financial numbers. If the model is unavailable, ThriveAI returns an honestly labeled deterministic fallback. Demo story (distributor): revenue +14%, cash MMK 4.3M, payables MMK 9.6M. Collecting MMK 4.8M from top overdue invoices before a branch outlay changes ending cash from MMK 1.3M to MMK 6.1M. For decision support only. Not financial, accounting, lending, or investment advice.

    Solo

  • Remote

    Linn Myat Maung

    EcoKid — Turn the World Into a Classroom

    Problem Children interact with objects and animals every day but often don't understand their origins, manufacturing processes, or life cycles. Traditional STEM learning relies heavily on textbooks and passive videos, creating a gap between what children learn and what they see in the real world. Our Solution EcoKid turns the real world into an interactive STEM classroom. Children scan an object or animal with a camera, and AI identifies it and transforms it into a visual learning journey. SCAN → IDENTIFY → EXPLAIN → VISUALIZE → EXPLORE Tree → Wood → Processing → Manufacturing → Chair Egg → Caterpillar → Chrysalis → Butterfly Our Value EcoKid makes STEM learning visual, interactive, and memorable by helping children discover science from the things they see every day. Why It Matters EcoKid connects learning with real-world discovery, encouraging curiosity, scientific thinking, and environmental awareness while turning passive screen time into active exploration.

    Solo

  • In-person

    Team ov

    AI for SMEs & Entrepreneurs

    FinFlow Desk is an AI-powered financial management tool designed from a bank’s perspective to help Myanmar’s SMEs make smarter business decisions, manage daily cash flows, and easily qualify for bank loans. It converts raw business activity into verified financial intelligence—featuring predictive cash runway analytics, automated voucher scanning (OCR), localized festival demand forecasting, and an automated 100-point loan readiness assessment.

    Team

  • In-person

    Team Divas

    WhyMark

    WhyMark The Problem A score like “72%” can’t tell a teacher what a student actually understands or what to teach them next. To find that out, a teacher has to manually read through every student’s answer sheet, spot the pattern behind each mistake, and figure out who needs help with what — and with 30–50 students per class, that review alone can eat up hours after every single assessment. Most teachers simply don’t have that time, so students end up with a number instead of the specific feedback that would actually help them improve. Who This Affects Teachers and tutors managing medium-to-large classes, especially in exam-driven curricula like IGCSE where topic-level mastery matters more than one overall score. Our Solution WhyMark turns an assessment into a diagnosis, and a diagnosis into action: • Assess — AI generates a topic-based test in seconds, with each question tagged to a specific learning objective. • Diagnose — Student answers are automatically grouped by error pattern (e.g., “sign error,” “can’t translate word problems into equations”) — not just right/wrong — with evidence the teacher can approve or edit. • Intervene — For each group, WhyMark gives a one-line diagnosis of what’s going wrong and generates ready-to-use targeted practice with one click. • Measure — A quick re-test shows the actual learning gain, proving the intervention worked.

    Team

  • Remote

    Myo Thu Ko

    AI Business Copilot for Myanmar SMEs

    Most SME owners have some record of their transactions but no time or tooling to read it, so they miss cash shortfalls and cost spikes until it's too late. The app: upload a CSV (or a receipt photo) → get a cash-flow dashboard (stat tiles, trend chart, category breakdown) → AI-generated insights (trend/anomaly/cash-runway projection) grounded in the real numbers → a chat widget for follow-up questions, answered from the same data. Also includes session history (past uploads saved and reopenable), a savings-goal tracker with AI pacing feedback, auto-categorization, Burmese-language toggle, and PDF export.

    Solo

  • Remote

    Aye Chan Zay

    Razor

    Razor is a privacy-first Chrome extension designed to help secondary students use YouTube for homework without getting distracted. Instead of opening to the addictive YouTube homepage, Razor takes students directly to a targeted search based on what they need to study. During a timed study session, Razor analyzes video titles in real time—silently allowing relevant content while pausing and displaying an overlay on off-topic videos and keyword traps. It requires no accounts or setup, runs only when a timer is active, and turns off automatically when the study session ends.

    Solo

Top 2 from Daiichi Life

  • In-person

    Team Youths

    Bhone Myat Khaing

    Legacy

    Dai-ichi Life protects families financially. But what about the memories, voice, and values that money cannot replace? While you are alive, AI helps you preserve the things that matter. If life unexpectedly takes you away, the memories and messages you chose to leave behind can continue to support the people you love. LEGACY is an AI-powered digital companion that helps customers preserve their life stories, record future messages for loved ones, and build a personal memory vault while they are alive. If life takes an unexpected turn, the family doesn't just receive an insurance payout—they receive the emotional legacy the customer intentionally chose to leave behind: voice recordings, written advice, scheduled birthday messages, and treasured family memories. The AI learns about the customer's family, goals, and important dates. It prompts them weekly to save memories, tracks their life goals (e.g., child's education fund), and securely locks future messages to be opened on specific dates (e.g., "Son's 29th Birthday").

    Team

  • In-person

    Team 2k6

    Cove

    Cove is a Myanmar-language phone app: daily insurance + money companion. React frontend, Flask + MySQL backend. Live at http://103.186.241.221 (http://103.186.241.221/).

    Team

Top 2 from 1CNG

  • In-person

    Kay Thi Lwin

    ခရီးစဥ် AI (Khari Zin AI) - AI-Powered Vacation & Local Travel Planner

    Problem: Planning a holiday is very tiring. People spend hours looking at different blogs and social media to find places to go. Then, it is hard to put them in a smart and easy order. Solution: A simple app that puts all travel information in one place. It uses AI to quickly make a custom, day-by-day travel plan with the best routes for you.

    Solo

  • Remote

    Team The Makers

    Local Travel

    **Local Travel** is a web-based travel discovery platform built to solve a real problem in Myanmar: travel information is scattered across different platforms, making it difficult and time-consuming to discover local destinations, restaurants, cafes, hotels, pagodas, shopping centers, and unique experiences. Our application brings these resources together in one simple platform. Users can explore places by category and location, discover nearby attractions, and make faster travel decisions. Unlike platforms focused mainly on famous tourist destinations, Local Travel emphasizes **local discovery** and gives lesser-known places and local businesses greater visibility. The project turns a simple real-world pain point—**“Where can I go and what can I do nearby?”**—into a practical, usable, and scalable digital solution for Myanmar. **Tagline: Discover Local. Travel Better.**

    Team

Awards

Champions of the day

Overall champions and partner special awards. Open an entry for the project description and links.

3 winners

Daiichi Life Special Award

1CNG Champion

Applicants

Who applied

Aggregate registration stats from the same Luma guest database used at the registration desk. No personal data is shown.

Synced 29 Aug 2026, 01:09

Total registrations

1351

Unique teams

348

In-person tickets

969

Remote tickets

313

Ticket type

  • In-Person (Yangon)969(71.7%)
  • Remote (Nationwide)313(23.2%)
  • (empty)69(5.1%)

Approval status

  • Pending approval1089(80.6%)
  • Approved193(14.3%)
  • Declined69(5.1%)

Participation

  • I am joining with a team1001(74.1%)
  • I am joining as an individual349(25.8%)
  • I am joining with a team, I am joining as an individual1(0.1%)

Team size

  • 1 member71(20.4%)
  • 2 members64(18.4%)
  • 3 members78(22.4%)
  • 4 members118(33.9%)
  • 5 members10(2.9%)
  • 6 members4(1.1%)
  • 7 members2(0.6%)
  • 8 members1(0.3%)

Gender

  • Male857(63.4%)
  • Female481(35.6%)
  • Prefer not to say13(1%)

Age range

  • 18–241045(77.4%)
  • 25–34224(16.6%)
  • Under 1846(3.4%)
  • 35+36(2.7%)

Current status

  • University Student873(54.9%)
  • Working Professional316(19.9%)
  • Freelancer156(9.8%)
  • Other95(6%)
  • Fresh Graduate92(5.8%)
  • Founder / Entrepreneur59(3.7%)

Field of study / work

  • Computer Science / IT1128(83.5%)
  • Engineering75(5.6%)
  • Other47(3.5%)
  • Business36(2.7%)
  • Design / Creative35(2.6%)
  • Education16(1.2%)
  • Marketing10(0.7%)
  • Healthcare3(0.2%)
  • (empty)1(0.1%)

City

  • Yangon978(72.4%)
  • Mandalay123(9.1%)
  • Bangkok22(1.6%)
  • Naypyidaw22(1.6%)
  • Pyin Oo Lwin21(1.6%)
  • Taunggyi9(0.7%)
  • Chiang Mai8(0.6%)
  • Magway6(0.4%)
  • Singapore6(0.4%)
  • Kuala Lumpur5(0.4%)
  • Mawlamyine5(0.4%)
  • Dawbon4(0.3%)
  • Other142(10.5%)

Myanmar citizen

  • Yes1287(95.3%)
  • (empty)52(3.8%)
  • No12(0.9%)

Built AI projects before

  • Yes964(71.4%)
  • Not yet, but I have used AI tools casually283(20.9%)
  • No104(7.7%)

AI coding tool familiarity

  • Yes, I use them regularly759(56.2%)
  • I have tried them a few times437(32.3%)
  • No, but I am excited to learn155(11.5%)

Prior Cursor Yangon event

  • No1163(86.1%)
  • Yes188(13.9%)

Participants

How the day ran

A hybrid format with doors open in Yangon, remote builders nationwide, and a shared agenda from kickoff through awards.

Format

Solo or teams of up to four. Developers and non-developers welcome. Building started on event day.

Checked in

173

In-person check-in

101

Remote check-in

72

Final submissions

88

34 attended teams · 62 attended solos · 52 in-person submissions · 36 remote submissions

Agenda highlights

  1. 09:00Doors open & registration
  2. 10:00Kickoff: Intro to Cursor & partners
  3. 11:00 – 17:00Build time
  4. 17:30Project submissions close
  5. 18:00Live demos & pitches
  6. 19:30Judges feedback & awards
  7. 20:00Wrap up & networking

Challenges

Topics builders chose

Challenge tracks were revealed on hackathon day. Teams submitted under one of these partner topics. Click a topic to read the challenge brief.

Media

Photos & recordings

Open the photo folder and Facebook livestream recordings from the event.

Event photos

Browse the organizer photo folder on SharePoint. Use the password below when prompted.

Open photo folder

Password: 0829

Community

Audience engagement

Campaign reach on Facebook posts and LinkedIn, plus public threads tagged with the event hashtags.

Facebook posts

3–30 August 2026

Post views

377,575

vs previous 28 days

+295.2%

Most viewed posts

  1. Event announcement5 Aug234,821
  2. Screening results11 Aug17,820
  3. FAQ7 Aug9,071
  4. Hackathon poster4 Aug4,896
  5. Event-day video29 Aug4,831
  6. Volunteers needed26 Aug4,508
  7. Community update11 Aug3,332

LinkedIn posts

Impressions on two organizer posts in the week of the hackathon.

Impressions

9,082

  • Pre-event check-in

    8,156Impressions

    74 reactions · 1 comment

  • Day-before kickoff

    926Impressions

    21 reactions · 0 comments

Public hashtag searches

Thank you

Sponsors & partners

Global tools and local partners who backed builders across Myanmar.

Global

Local

Stay in the loop

More Cursor Myanmar events ahead

Follow the site for upcoming meetups, workshops, and the next build day.