Rohan Chaubey

Boost.space - If Airtable & Zapier had a baby & came up with lifetime deal

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Effortlessly boost productivity with Boost.space: Your all-in-one & User-friendly workflow streamliner. Forget the data juggling across multiple platforms. Seamless integration and data management awaits! We're also landing on Appsumo soon 😏

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Shahmir Faisal
Congrats on the launch Matous!
Matous Kralik
@shahmir_faisal Thank you so much πŸ™
Tioluwani Akeju
Congratulations to the team on the successful launch! The launch video was highly engaging, and the branding colors are impressive - excellent work!
Matous Kralik
@tioluwani_akeju Thank you, mate. We tried our best πŸ™
Niky Goms
Congratulations for this innovative product.
Matous Kralik
@niky_goms Cheers! πŸ™
Adelegan Damilare Mathew
The fact that the data can be shared to any other tools is highly welcomed.
TadeΓ‘Ε‘ Marek
@justification_mathew Thank you Mathew, do you have any specific use-case in mind, that we can help with?
Alex Dulub
Your project sounds like a game-changer for managing data across platforms, Matous, and I'm intrigued by the upcoming AI feature; can't wait to see how it will streamline workflows even more.
TadeΓ‘Ε‘ Marek
@alex_dulub Our AI integration process consists of three main stages. The first stage is the 'Data Standardization Layer,' where we utilize an AI engine to comprehend various data types. This includes not only static API data from third-party tools but also dynamic/custom sources like Excel sheets and custom databases. Our goal is to transform this data into our universal standardized format, a crucial step as all outgoing automation templates rely on this format. With it, you can easily select a template and activate the automation. Additionally, this standardization is vital for AI engines like ChatGPT to grasp the semantic context of the data. Currently, this functionality is live in our development environment and is set to roll out to our clients around January (or thereabouts πŸ˜‚). Now, onto steps 2 and 3 of our AI integration. Once AI gains access to your consolidated data and comprehends its context, it becomes highly effective at analyzing it, providing chat-based insights, or enriching it based on the context. For instance: You can ask, 'AI, what were the best-selling products during the same week last year?' and receive a response. You can request, 'AI, add timezones to my contacts database based on their city,' and watch as the timezones are added. This is the future of Boost.space, and it's arriving much sooner than many might expect.
Samantha aka CandyToyBox
Are you on Twitter? Excellent product! πŸ”₯
TadeΓ‘Ε‘ Marek
@candytoybox Hi Samantha! Actually, the CEO of Product Hunt itself tweeted a video of me jumping through a hoop today. It was my first ever tweet that I posted today, but I'm starting to like Twitter already... 😊Find me here: https://twitter.com/tadeasmarek/
J S
This is the most exciting platform and it’s not just for the Make integrations but for the erp and other modules. I can’t wait to set this up to utilize its full potential.
TadeΓ‘Ε‘ Marek
@j_s28 We are also very excited to have you. Please make sure to book a free short onboarding call (which will be offered after installing a trial) so that we can help you build your first use case and help to get you started!
Salvador Montiel
Congrats on the launch! πŸ‘ πŸŽ‰
TadeΓ‘Ε‘ Marek
@smontiel Thank you Salvador!
this one looks interesting
Matous Kralik
@rameshkannan glad to hear that πŸ˜‡πŸ«‘
Friday Gift
excellent
Matous Kralik
@friday_gift no, you are!
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