Inspiration
Lot of valuable content shared via LinkedIn but lost in the abundance of information
What it does
Summarizes the LinkedIn posts, extracts Authors, topics, Organizations etc, Give ability to then read the specific posts by Author, topic and also gives ability to compare the thoughts about authors/competitors on any specific topic like:- How specific Organizations/authors are talking on topic like Gen AI adoption etc.
How we built it
Leveraged Amazon PartyRock playground
Challenges we ran into
PartyRock does not give much flexibility to create data pipelines so need to use static LinkedIn posts but in the real project with Amazon Bedrock and other services it would be fetching dynamic content from LinkedIn Posts for specific handle.
Accomplishments that we're proud of
The ability to bring out the Authors thought comparison and beautiful way to list out the specific targeted posts that user can read and get value from.
What we learned
PartyRock as a platform really helps to create app in quick manner , this is the platform to get your idea validated very quickly with replay/demo of your thoughts.
What's next for LinkedIn Post Summarizer & Analyzer
A well developed end to end solution leveraging Amazon Bedrock, AWS Lambda , ECS fargate etc.
Built With
- claude
- partyrock
Log in or sign up for Devpost to join the conversation.