Show HN: I built AI that turns 4 hours of financial analysis into 30 seconds
Parse 15M+ UK company records from Companies House API Built ML models to extract and normalize financial data from varied filing formats Created scoring algorithms that weight liquidity, profitability, leverage, and growth trends Generate 1-5 health scores with explanations in plain English
What it does:
Instant financial analysis of any UK company (30 seconds vs 4 hours) Real-time monitoring with alerts for new filings/director changes Risk detection that catches declining trends early No financial background needed to understand results
The hardest part was handling the data inconsistencies - UK companies file in different formats, use various accounting frameworks, and often have incomplete information. Had to build a lot of data cleaning and normalization logic. Currently focused on the UK market since I know the regulatory landscape well, but the approach could work for other countries with similar public filing systems. Link: https://duebase.com
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Did you pivot?
If we want to be charitable their previous website may have served as a template.
- There is UX issue here as on first pass it just looked like a view to CH, the scores where N/A, after a minute it came to life with something useful but during that period wasn't sure what was going on, you need to manage the user and let them know its working out scores not show N/A.
- Liked the history of scores as well, perhaps a chart would be good here.
- I need to understand how you score before I would ever consider paying for this, there has to be some explanation of the methodology.
Regular coding, the SECs API (or UK equivalent), and some simple spreadsheet formulas have already done the brunt of this for years now.
Slight issue on the homepage ;)
This is pretty bottom of the barrel.