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Skaylar
Analyze and visualize first-digit distributions in datasets.
Skaylar is a simple, web-based tool for forensic data analysis using Benford's Law to analyze and visualize first-digit distributions in a dataset. Paste the data, click Run Test, and instantly see if there are anomalies.
What is Benford's Law?
In real world data that grow logarithmically and do not have imposed limits, the digit "1" appears as the first digit ~30% of the time, "2" ~18%, etc.
If your data deviates too much, it can signal fraud, errors, or manipulation.
Skaylar checks this for you in seconds.
How to Use
1. Visit https://temi-tade.github.io/Skaylar or download the repo (offline use):
`git clone https://github.com/Temi-Tade/Ska...`
or click `Code > Download ZIP` and extract files on your computer.
2. Open
Double-click `index.html`
Works in Chrome, Edge, Firefox, and on mobile.
3. Analyze
- Paste your numbers in the box. Numbers should be delimited by commas, spaces or new lines
- Click `Run Test`
- View the results table and graph
- Click `Run Mock Data` to try it with sample data first
What You Get
- Results Table: Expected % vs Actual % for digits 1-9 and deviations
- Graph: Visual comparison to spot deviations fast
- Analytics: Max deviation and Chi square value.
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About Skaylar on Product Hunt
“Analyze and visualize first-digit distributions in datasets.”
Skaylar was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #26 on the daily leaderboard. Skaylar is a simple, web-based tool for forensic data analysis using Benford's Law to analyze and visualize first-digit distributions in a dataset. Paste the data, click Run Test, and instantly see if there are anomalies.
Skaylar was featured in Productivity (657.7k followers), GitHub (41.3k followers) and Finance (6.2k followers) on Product Hunt. Together, these topics include over 182.9k products, making this a competitive space to launch in.
Who hunted Skaylar?
Skaylar was hunted by Temiloluwa Akintade. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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