Inspiration
We were getting too many Slack messages, lost track of things we had replied to, missed out on, and felt the urgency.
What it does
Listens in on incoming Slack messages, understand them, categorizes them and nudges you for important things.
How we built it
Built a connector for Slack on Hasura and a Postgres instance to store the messages. Then used an open source tool that can fetch data in real time and can call downstream LLMs for classification.
Challenges we ran into
ETL data from Slack.
Accomplishments that we're proud of
Did this without agents or LLM frameworks.
What we learned
AI should just work. You can make AI+Data apps very easily.
What's next for Alia
Make it available for everyone.
Built With
- anthropic
- hasura
- postgresql
- python
- slack
Log in or sign up for Devpost to join the conversation.