Eligibility
- Open to anyone attending Hacknight in person. RSVP via Luma: https://luma.com/ukqg6i9d is required to enter the venue.
- Solo participants and teams of any size are welcome. Judging is on the outcome, not the team size.
What you build
- You'll pick from a set of themes revealed in person. Picking more than one is fine, picking none is not. Your submission must clearly target a real problem within the chosen theme.
- Elastic must be in the loop. Retrieval, context engineering, ingest, observability, ES|QL, vector search, Agent Builder, at least one Elastic component must do real work in your solution.
- You must use real data. No toy datasets. Your agent must be grounded in sources you went and found.
- Cite everything. Both in your write-up and in your agent's responses. Credit the original publishers.
What you can use
- Any coding assistant, Claude, Cursor, Codex, Copilot, Kiro. Bring your own subscription.
- Any Elastic feature on Cloud or self-hosted: Elasticsearch, Kibana, Elastic Agent Builder, Workflows, Open Crawler, Semantic Search, Knowledge Base, Jina embeddings via EIS, ELSER, ES|QL, Beats, Logstash, Elastic Agent.
- Any AWS service you can stand up in the time available: Bedrock (any model), AgentCore, EC2, Lambda, S3, Textract, etc.
- Open-source libraries, public APIs, and any data source whose terms allow your use case. Respect rate limits and ToS.
What you can't do
- You can't ship something that was substantially built before the event. Reusing your own libraries, scaffolding, and personal templates is fine. Reusing a project you started last week is not.
- You can't scrape sites in violation of their terms of service. If a portal forbids automated access, find another source.
- You can't include personal data of real individuals without consent. Public data, scheme data, and aggregate statistics are fine; private individuals are not.
Originality and IP
- Whatever you build, you own. Elastic and AWS don't claim rights to your code or your demo.
- You're responsible for any third-party code or data you include. License-incompatible reuse is your problem, not ours.
Judging
| Area | Points |
|---|---|
| Real-world impact and relevance to Bengaluru | 25 |
| Data effort: scraping, cleaning, joining, enrichment | 15 |
| Elastic usage: search, ES|QL, Kibana, Maps, alerts, semantic/vector search | 20 |
| AWS usage: Lambda, S3, Bedrock, Textract, etc. used meaningfully | 20 |
| Actionability: alerts, summaries, escalation, recommendations the user can act on | 10 |
| Demo quality and storytelling | 10 |
Decisions of the judging panel are final. Ties broken by demo quality.
Code of Conduct
Refer Elastic's Open Source Community Code of Conduct