Magic Spreadsheet is the best way to automatically gather information from the web into a google sheet, using a real-time human workforce boosted by AI engines

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@garrytan - thanks for hunting us! Hello producthunt! Sagiv here. Co-founder of HEAT, along with @yig, We built the Magic Spreadsheet to make HEAT’s hybrid workforce of humans and AIs accessible to anyone with a spreadsheet. The possibilities are truly endless - your spreadsheet literally turns into a dashboard where you can send tasks to thousands of workers, in parallel, to get you any piece of information that you want (as long as it’s publicly available out there…) In private beta, we saw all sorts of crazy ways to use the spreadsheet that we didn’t even think about - like editing images, and making phone calls! We’d love to hear your feedback, so we’ll be hanging around here today! Cheers, — Sagiv
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@sagivmalihi @garrytan @yig video looks super cool! Nice work guys.. I have questions ;-) is Magic Spreadsheet just 1 application of HEAT? How do you guarantee quality of the output? ie. how can i trust it if a turk was involved or if it's not publicly accessible data? Is there any regression models to predict say what an email address could be based on historical data? And do you have enough data to make it statistically significant? Finally, what does HEAT stand for? Cheers!
@ernestsemerda wow, lots of interest! I'll try to answer briefly: Yes, Magic Spreadsheet is currently the easiest way to use HEAT. Another way is to use the HEAT API directly. We're working hard to make it as easy as possible to use us! Quality is guaranteed by a variety of methods, but the short answer is that all workers are constantly measured (accuracy & response time) - and they have an incentive to keep the scores VERY high. Non-publicly accessible data - I'm not sure what you mean. HEAT is great at doing anything a human can do, but if a piece of information is not available to human workers, it's a problem ;) (unless it can be guessed easily with very very high confidence). Our automated models (usually regarded to as 'AIs') currently 'learn' from our human workforce. So for data-collection tasks (such as ones that are popular on Magic Spreadsheet) - they just 'learn' where to get information (according to specific inputs).
@sagivmalihi Cheers for a detailed response :-) So it sounds like it's still more human than machine and you have KPIs in place to make sure the humans do an outstanding job? The part I'm trying to understand is how HEAT will learn unstructured data or something that it doesn't know where the source is. Are you using backpropagation in the DNN to achieve any of it? And what does HEAT stand for? :-) It's an awesome acronym that has me intrigued :D Happy to chat offline if it's easier.
@sagivmalihi @garrytan @yig what is the site for heat ?
I met Yig recently and was impressed by this demo — it's a browser plugin that sprinkles itself into Google Sheets and enables a large set of crowdworkers to do your bidding directly inside a spreadsheet. It's useful for filling in all sorts of knowledge work quickly, e.g. finding addresses, websites, email addresses, or even jobs like describing people or objects. It's one of the coolest demos I've seen this year.
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This looks like a great tool for lead generation. What is the pricing to use this. The pricing tab did not work on the top.
@salil_sethi pricing is 15 cents per cell. That's the basic pricing plan, that should cover standard type of info tasks. For "heavier" cells that take longer time to fill than the norm, we will create more pricing plans that fit those cases better.
I love the idea. So many times I created google spreadsheets, then divided them up, sent them to various people, got the results, merged it. Such a pain! If this works well it might become an indispensable tool for the small business.
This is amazing! Good luck guys