| Hi HN, I’m Riki, and I built Recoonlytics after repeatedly running into the same problem: before doing any meaningful analysis, I was spending way too much time cleaning messy datasets. Missing values, duplicates, inconsistent columns — it often took longer than the actual analysis. Recoonlytics is an attempt to remove that friction. You upload a CSV or Excel file, and it automatically: - detects column types and structure
- removes duplicates and fixes missing data
- generates quick statistics and summaries
- creates simple visualizations instantly The goal is simple: go from raw data → usable insights in seconds, without manual preprocessing. One challenge I faced was handling inconsistent real-world data (mixed types, noisy entries). I worked on making the system adaptive so it can clean data without requiring user configuration. It’s still early, and I’m actively improving it. I’d really appreciate feedback on: - how accurate the cleaning is
- whether the workflow feels intuitive
- what’s missing for your use case Thanks! |