SinkAlert · BDI Hackathon 2026 · Track: Data for Better Safety · June 14, 2026
Babigon claimed 92.2. Ginnie found 54.2-point gap.
All sponsor SDKs commented out. Zero code executing. Fabricated user data.
Full R4 audit →Honest strategy. All fabrications retracted. Execution plan exists.
3,712 lines. Complete 14-day sprint. Tier 0/1/2 levels. Judge appeal section.
Full R5 strategy →Tier 1 Duo execution. 93–97 with 3-4 person team.
Aggressive but achievable with two focused people Jun 15–Jul 25.
Full R5 review →| Category | Weight | R4 Strategy | R4 Actual | R5 Strategy | Jul 10 Est. | Jul 25 Est. |
|---|---|---|---|---|---|---|
| Thai Problem Relevance | 20% | 9.5 | 6.3 | 8.5 | 8.5 | 9.0 |
| ThaiLLM + Agentic AI + Multi-source | 30% | 9.3 | 0.9 | 7.5 | 5.0 | 8.5 |
| Working MVP | 15% | 9.0 | 0.5 | 7.0 | 5.0 | 8.0 |
| User Validation | 15% | 9.0 | 0.8 | 7.5 | 6.5 | 8.5 |
| Hackathon Attribution | 10% | 9.5 | 7.0 | 8.5 | 8.5 | 9.5 |
| Ethics / Compliance | 10% | 9.5 | 3.0 | 7.5 | 7.0 | 9.0 |
| TOTAL | 100% | 92.2 | 38.0 | 77.0 | 61.3 | 86.0 |
| Judge | Focus | Strategy | Critical By |
|---|---|---|---|
| Patipan Prasertsom | ThaiLLM Special Prize | 4-model pipeline, fine-tuned ToolUse, HuggingFace dataset | Jun 29 |
| Sasawat Lertkovit | AWS Bedrock / Kiro | 4 Bedrock Agents (InSAR, Dashcam, ThaiLLM, Citizen), SageMaker, DynamoDB | Jun 29 |
| Anthony (Couchbase) | Vector Search | 3 buckets (images, segments, alerts), 12 indexes, SQL++ queries | Jun 26 |
| Cheryl Lee (OGP) | Open Data / ASEAN | 6-country ASEAN roadmap, Sentinel-1 tracks, open data stack | Jul 1 |
| Koravit | Design Thinking / Users | 12 interviews across 6 personas, Thai templates, documented findings | Jul 6 |
| Benj | Research / Validation | 40+ citations, 4-tier validation, SHAP explainability, anomaly detection | Jul 10 |
| Dr. Teeranee | BDI / Deployability | Full cost model (฿5.04/km), PDPA compliance, 6-month roadmap | Jul 10 |
| File | Lines | Size | Role |
|---|---|---|---|
| babigon_strategy_r4.md | 2,478 | 174K | R4: Victory blueprint (92.2 claimed) |
| ginnie_review_r4.md | 743 | 51K | R4: Brutal audit (38/100 actual) |
| babigon_strategy_r5.md | 3,712 | 183K | R5: Honest execution strategy (77/100) |
| ginnie_review_r5.md | 576 | 46K | R5: Final convergence scoring |
| ThaiLLM_Deep_Research_Report.md | 416 | 20K | ThaiLLM ecosystem research |
| SinkAlert_Literature_Review.md | 414 | 29K | 35+ papers, 25+ repos |
| babigon_strategy.md (v3) | 1,680 | 113K | Original R1-R2 strategy |
| ginnie_review.md | 536 | 36K | Original R1-R2 review (75.5) |
Babigon and Ginnie converged. The R5 strategy is honest, executable, and judge-optimized. Strategy quality: 77/100. But strategy doesn't win hackathons — shipped code does.
With Tier 1 Duo execution (2 focused people, Jun 15–Jul 25): 84–89/100 → podium.
With Tier 2 3-4 person team (incorporating Bedrock Agents, Couchbase, LINE Bot): 93–97/100 → 1st place.
With Tier 0 Solo (one person, dashboard + static data + honest pitch): 64–70/100 → mid-pack.
The next 42 days determine which trajectory SinkAlert takes. The plan exists. Execution starts now.