Magic Spreadsheet

Magic Spreadsheet

Superpowers for every Google Sheets user!

35 followers

Use the side-bar to configure exactly how and where to get each piece of information. Have at least one column with some ‘anchor’ data that you already have. This is the data that will seed everything else on the sheet. Each cell will be sent to a different worker to be filled.
Magic Spreadsheet gallery image
Magic Spreadsheet gallery image
Magic Spreadsheet gallery image
Magic Spreadsheet gallery image
Magic Spreadsheet gallery image
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What do you think? …

Sagiv Malihi
@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
Rhai
@sagivmalihi @garrytan @yig This is awesome!
Ernest Semerda
@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!
Sagiv Malihi
@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).
Ernest Semerda
@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.
Pascal Andy
@sagivmalihi @garrytan @yig what is the site for heat ?
Garry Tan
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.
Menachem Pritzker
this is so cool. I assume you're using mturk to power this? btw, the pricing page does not work. I'm very curious to understand how you're pricing this
Yigael Berger
@mdavep Oh no, it's not mturk, this can never work with an external crowd. It all relies on HEAT (heatintelligence.com), the platform we've been building for a year+
Yigael Berger
@mdavep pricing is 15 cents per cell. That's the basic pricing plan, that should cover standard type of info tasks.
Ernest Semerda
@yig @mdavep so heat intelligence is basically supervised ML with turks? Can you please clear up where the Research piece (video example) fits into ML? Where do the regression models come into play here? or classification problems? Is the Magic Spreadsheet just one application of HEAT?
Menachem Pritzker
@yig how many humans work on the platform? Do you give them any training? What makes them more qualified than mTurkers?
Salil Sethi
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.
Yigael Berger
@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.
Kumar Thangudu
Very curious about the API of human workers you've built. Would you say it's better than ScaleAPI.com specifically for data entry tasks into google sheets?
Yigael Berger
@datarade Scale is a competitor we respect (@alexandrw I'd be happy to meet one day). Our API is great for numerous things not just data collection/entry. Customers use us for analyzing articles, photoshoping images on the fly, tier 1 support, and lots more. The two points we especially excel at are 1. The reliable, high quality, fast responding human workforce we run 2. Seemless transition to AI
Kumar Thangudu
@yig @alexandrw when you say "AI" what do you mean? I have an operations research background, and when web developers say AI, I assume they're just using basic prob/stat and calling it AI or is there more to it? Is it learning modalities of entered data and making suggestions?
Yigael Berger
@datarade There is a long roadmap to that, part of which I can share in exchange for a cup of joe :)
Pablo Fernández
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.
Nick Julia
Looks cool! But I'm not sure I understand how the pricing translates... In the finding Linkedin example - ballpark how much would it be per LI profile? Or let's say I want to do email prospecting. Is that a potential use case? And again how would that translate to pricing - Especially if a human has to get involved?
Sagiv Malihi
@nickajulia thanks! pricing for standard information retrieval tasks is 15 cents per cell (yes, even if a human has to get involved!)
Nick Julia
@sagivmalihi 👍 I'll try it out soon
Yigael Berger
@nickajulia The basic pricing is set fixed at 15 cents per spreadsheet cell. This should cover tasks like find LI profile and similar. Email prospecting is definitely a use case, and as more people use this, the faster and better the results will be because email prospecting is not just searching rocketreach or hunter or guessing name patterns. So when you will run use cases that will require more than 1 minute to complete (per cell) you will have more pricing plans to choose from.
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