Devpost
Participate in our public hackathons
Devpost for Teams
Access your company's private hackathons
Grow your developer ecosystem and promote your platform
Drive innovation, collaboration, and retention within your organization
By use case
Blog
Insights into hackathon planning and participation
Customer stories
Inspiration from peers and other industry leaders
Planning guides
Best practices for planning online and in-person hackathons
Webinars & events
Upcoming events and on-demand recordings
Help desk
Common questions and support documentation
Keep unaffected data products running when schemas break.
A DataHub grounded production ML safety agent that tests & verdict whether a proposed upstream data change will silently damage downstream ML system before that change reaches production.
Ask questions in plain English and let DataQuery AI turn them into SQL instantly, identify relevant data, and explain the query—making data analysis faster and accessible to everyone
"Transforming raw data cataloging into active, self-governing AI workflows."
From a breaking data change to governed, merge-ready code — DataHub finds the hidden consumer, ContextTwin repairs it, Replay proves it, and the mapped owner approves it.
The agentic copilot that turns DataHub lineage into a risk score — and writes the decision back.
AI-powered multi-agent workspace for YouTube creators
AI-powered regulatory impact analysis using DataHub lineage and metadata
A prompt-injection immune system for DataHub: excises jailbreak payloads hidden in catalog metadata, repairs the graph, proves 12/12 gone in 8 ms.
AI agent that detects schema changes, broken lineage, and production ML risks using DataHub and recommends fixes before failures happen
LineageGate turns DataHub lineage evidence into commit-bound GitHub checks, accountable approvals, remediation, and durable audit trails.
An agentic game built on DataHub’s Context Platform that turns metadata literacy into an interactive, visual learning adventure.
An AI agent that uses DataHub metadata and lineage to assess schema changes, identify downstream risks, and generate safe migration plans, validation queries, and rollback code.
The blast-radius gate for data model PRs. Missing lineage never returns SAFE.
Your data's immune system. Traces silent ML drift to its root cause in DataHub's lineage, opens a real dbt fix PR, and vaccinates the graph so the next agent inherits the knowledge.
AI agent that reads DataHub lineage, evaluates risk using governance tags, and autonomously raises incidents to halt downstream pipelines before corrupted data spreads.
Catch silent ML breakers before they cost money, DataHub lineage in, risk tags written back so the next agent inherits the context.
Compliance tools manage documents. PROVE IT uses DataHub to determine whether an audit claim is actually provable from live operational evidence, not just written policy.
Autonomous data governance agent using fine-grained lineage to detect renamed PII columns and generate secure dbt masking code via human-on-write principles.
An AI-powered tool for secure file management and encryption context analysis.
Every DataHub lineage node becomes a live data profile: broken columns light up the models & dashboards they poison, priced in €/day — and the rescue is filed right back into DataHub.
RallyTrace uses DataHub context and write-back to stop coaches from acting on compromised performance reports and route the exact data issue to its owner.
4 stale alerts across two platforms collapse to 1 table to fix — and the datasets nobody declared an SLA for become visibly UNMEASURED in the DataHub UI, instead of silently absent from the report.
361 – 384 of 612
