Magic Spreadsheet

Superpowers for every Google Sheets user!

35 followers

Superpowers for every Google Sheets user!

35 followers

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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.

Launch tags:Productivity•Spreadsheets•Artificial Intelligence

Launch Team

Framer AI AgentsDesign and publish professional sites with AI

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Magic Spreadsheet

Maker

@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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9yr ago

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@sagivmalihi @garrytan @yig This is awesome!

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9yr ago

@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!

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9yr ago

Magic Spreadsheet

Maker

@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).

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9yr ago

@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.

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9yr ago

@sagivmalihi @garrytan @yig what is the site for heat ?

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9yr ago

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?

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9yr ago

Magic Spreadsheet

Maker

@nickajulia thanks! pricing for standard information retrieval tasks is 15 cents per cell (yes, even if a human has to get involved!)

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9yr ago

@sagivmalihi 👍 I'll try it out soon

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9yr ago

Magic Spreadsheet

Maker

@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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9yr ago

how does this compare to mechanical turk HITs for similar cell-based pricing (data points like contact profiles)? seems a thousand times easier to use...

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9yr ago

Magic Spreadsheet

Maker

@passingnotes - indeed, MTurk is a great concept, but hard to use (a lot of overhead managing the process). Our mission in HEAT is to make this as easy as possible to tap intelligence (either human or artificial).

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9yr ago

@sagivmalihi Pretty cool. are you thinking of adding a layer that would 'automate' LInkedIn connects and inmails ? It would require a sales team using : 1) CRM with LinkedIn Profile URLs for their prospects 2) Outreach tool which uses tasks that can activate triggers to push the task of 'connect' or 'inmail' to outsourced workforce on the day the task is due 3) LinkedIn profile access for the user (lastpass) 4) Measurement on our end to show connect rate/ROI of using the solution

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9yr ago

Magic Spreadsheet

Maker

@arie_shpanya - this is a very interesting concept. We're definitely thinking about targeting CRMs (such as salesforce) for the next Magic plugin. I would love to discuss these ideas offline with you - shoot me an email at (my name) @heatintelligence.com

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9yr ago

@sagivmalihi @heatintelligence send, also check scaleapi

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9yr ago

Very interesting, Could it be used to collect Guest post opportunities from blogs by giving a set of keywords?

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9yr ago

Magic Spreadsheet

Maker

@jm0rr1s not sure I understand 100%, but it definitely sounds like something possible. Did you mean looking for blogs in which you can write as a guest, or authors that might fit your blog? In any case - if it's google-able + a little reading it's perfect for the Magic Spreadsheet!

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9yr ago

@sagivmalihi cool, and cool videos too! My question is the following: how does it differs from Amazon Mechanical Turk? Except by the fact that answers are received in Spreadsheet, it seems the output when using HEAT APIs is pretty similar to the one offered by Mechanical Turk. Thanks

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9yr ago

Magic Spreadsheet

Maker

@guidoarata part of the reason we built HEAT is that we felt that AMT is an awesome idea, that doesn't really deliver on its promise... HEAT's human component is a kind of 'automated' mechanical turk, meaning that we make sure all workers are accurate (no mistakes) and responsive (in seconds, not days).

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9yr ago

Really cool. I have a question about the phone call option. In your example video where you found out if a restaurant offered delivery. Was a phone call made to the restaurant using a bot? Was it a recorded human voice that asked the question? What accent did it have? Thanks

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9yr ago

Magic Spreadsheet

Maker

@peterchaly phone calls are currently made with 100% organic humans ;) of course - not every worker has a good enough / understandable enough accent, and we make sure to only route these kind of operations only to those who do.

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9yr ago

@sagivmalihi Ah...got it. Thanks for that. Looking forward to testing it all out.

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9yr ago

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