Machine learning (automl) assistant that does some analysis and predictions automatically.Eg. Sales, Stock, Ads, Users predictions
Users
99
−8 in 30 days
Rating
5.0 / 5
unchanged in 30 days
Ratings
1
0 in 30 days
Store rank
#85K
#71K among extensions
Version
1.0.2
updated 30 Mar 2022
Users
monthly, 3 years
Latest, 17 Oct 2026:99 usersMove the mouse over the chart for any month
Ratings count
monthly, 3 years
Latest, 17 Oct 2026:1 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Sambot - AI assistant for predictions
Sambot, so easy, just ask
We believe that making machine learning accessible represents our greatest opportunity to empower the lives of everyday business users. That's why we built the Sambot AI Assistant that allows anyone to have their own predictions in seconds, without writing code.
It is fundamentally designed for business people who work a lot with spreadsheets but don't have the skills/team to write complex machine learning code to generate meaningful predictions and insights for their business.
In addition, the tool marks a leap in UI and machine learning speed. Bringing you the fastest and easiest tool ever built.
🔮 How it works:
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- Install the extension in your browser.
- In your spreadsheet where you have the data, click on the Sambot extension.
- Choose the analysis you want and ask the Sambot AI Assistant to generate predictions for you.
📈 What analysis do we have:
* Time series analysis: s a Timeseries forecasting in simple words means to forecast or to predict the future value over a period of time. Examples of time series analysis in action include: Industry forecasts, Stock prices, Sales in units sold each day for a store, Average price of gasoline each day, Heart rate monitoring
* Test A/B/n optimization: Is an optimization algorithm (MAB), which tests several alternatives and predicts which one will have the best result. Examples of optimization include: predictions of which pages convert the most, which campaigns bring in the most leads, which channels are the best
* Auto analytics: We automatically generate correlations and insights with a neural network trained to predict the target column. With this, it is possible to find out which columns impact in the values of the target column