Checka – follow content beyond RSS – aggregate, filter, digest
Hi HN, Our team has developed an information processing assistant called Checka. Compared to many other information services, Checka focuses on allowing users to describe their target information using natural language and use LLM workflow to filter the content. Here is the simplified flowchart of information processing: https://images.checka.ai/images/HN_pipeline.png How Checka Works: - Data Collection: It gathers information from selected data sources using scrapers, APIs, and RSS feeds, and structures the data. - Filtering and Analysis: Through multiple LLM requests,…
What it does
In the maker’s words, at launch
Hi HN, Our team has developed an information processing assistant called Checka. Compared to many other information services, Checka focuses on allowing users to describe their target information using natural language and use LLM workflow to filter the content. Here is the simplified flowchart of information processing: https://images.checka.ai/images/HN_pipeline.png How Checka Works: - Data Collection: It gathers information from selected data sources using scrapers, APIs, and RSS feeds, and structures the data. - Filtering and Analysis: Through multiple LLM requests, it pre-filters and thoroughly analyzes all the information data objects to determine if they meet your specified "target information" criteria. - Digest: For data that meets the criteria, it uses generative capabilities to digest the information based on your chosen format, making it easy to quickly access the insights you need. As developers, we’ve all been there—building tools to tackle the endless stream of scattered information. But just simply aggregating content often ends up creating more noise. If you’ve ever faced hundreds of unread items in your RSS reader, you know the feeling. Therefore, we created Checka, hoping it would be useful to some of you. We would greatly appreciate any feedback as we know HN is the best crowd for it.
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