Recoonlytics – clean and analyze messy data in seconds

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!