Unboxable

Predict your hiring and career decisions with 93% accuracy

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Prediction matching platform for Talent & Employers, cutting through resume culture and replacing poor predictors of success with precise, personalized data. Build a code-free Job Simulator to accurately predict a great hire based on skills and compatibility.
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Launch tags:Hiring•Analytics•SaaS
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Wispr Flow: Dictation That Works Everywhere
Wispr Flow: Dictation That Works Everywhere
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What do you think? …

Stephie Knopel
Maker
Hey, Product Hunt community! Meet Unboxable, the new standard for hiring. 🧲 **Attract Exceptional Talent** 💻 **Build personalized Job Simulators** (in just 5 minutes, code-free) 👩‍❤️‍👩 **Predict beyond skills, with Human Relational Fit** Unboxable is the only predictive, data-driven recruitment platform that fuels smarter career and hiring decision-making for both sides: Companies and Talent. Whether you're a recruiter/hiring manager who's sick of picking the wrong Talent, or a Talent who's unable to explain your 3D shape on a resume — you've hit the right product! The truth about today's hiring industry is that 46% of new hires are bad hires. This is because resumes fail to show the unique Shape of Talent: the true potential of a person. Today's workforce are in constant motion updating their skills and growing beyond rigid boxes that confine them. To hire for tomorrow, companies are replacing old recruitment funnels with Unboxable's **automated Job Simulator tech** to find their most perfect talent fit in record time. Need some stats? As an employer using Unboxable, you can: **Use data to hire with 93% accuracy** **Accelerate the finding, interviewing, and hiring from 42 days to 7** **Discover 27% more new candidates who wouldn’t have passed your first screening** We made Unboxable code-less and simple, so you can do it without any help from us. Think of all that extra time you'll free up to actually do other crucial areas of your job! If you're a Talent reading this thinking, "what about me!" - don't worry. We have a list of early adopter companies who are using our tech to hire, and they have plenty of open positions you can apply for using a Job Simulator. Just get in touch and we'll point you in the right direction. Want to know more about us? We're a team of 15 creators based in our Tel-Aviv, Israel HQ, with globally located unboxables in Chile, the UK, Germany, and India. And we're female-founded ⚢!
Savian Boroanca
@stephieknopel congratulations to the team! 🙌
David Tran
FluentPal
@stephieknopel Great concept. Much needed in the community. Congratulations to the team!!!
Ben Jacobson
In my opinion nothing beats the human touch when it comes to assessing talent, but this personalized simulation functionality definitely looks like it has a whole lot of potential.
Stephie Knopel
Maker
@osbennn Hi Ben, we totally agree with you, that's why we are the only ones in the market with a prediction on Human Compatibility, basically "will you thrive under this specific manager?" which is a question that normally both sides -talent & company, only know once the hire is already working. We are replacing that guess work with accuracy from Day 0 and by that, changing the game when it comes to hire and get hired with 100% confidence.
Jenny Art
Congrats on the launch ?makers! 🚀 But what about people who just don't like to create detailed CVs? Or do you ask them to fill out a very detailed questionnaire?
Stephie Knopel
Maker
@zheniart Our job simulators are personalized for each role/company and talents just go through the job simulator: a fun experience where you also learn about the REALITY of the role and not a copy-pasted old job description, that way, talent can also make an educated decision. While they are going through the experience, we surface their shape of the talent: a data language that allows us to see with accuracy, if this is a TrueFit and if there's high chances to thrive on both sides. So...no more detailed CV's...! And no self reporting. Just a true experience of what the role entails.
Jenny Art
@stephieknopel Oh wow! 😮 That makes much more sense, a very promising idea. Good luck with Unboxable !
Stephie Knopel
Maker
@zheniart Companies in Tel Aviv, Europe & Latam are already using it, so I hope you will see it in your area too. (I like Nitro btw!)
Nili Goldberg
So much experience, data and passion has been put into this product. Heard great feedback already. I can't wait to try it.
Stephie Knopel
Maker
@nili_goldberg Thanks! true about passion and data! We have accumulated deep and interesting data around shape of talents and shape of positions of the current state of the art of the market. We will start sharing soon through reports and our new knowledge base :)
Devin Pickell
Privy
Heck of a product here @stephieknopel! Would you say this predictive intelligence is a way to help remove bias in the hiring process? Would love to hear your thoughts!
Stephie Knopel
Maker
@dpickell Hi Devin! Thanks for your question, is one of the first BIG problems we decided to tackle, given the fact that this broken protocol between talents and companies is usually based on guesswork and predictors of success that aren't relevant for our times (or better say, they aren't predictors let alone not success ones!). Besides removing gender, hints of bias through names (people can apply anonymously), we focus on 2 layers of predictions: professional fit, by decoding the contextual need of the company and understanding the shape of the position needed and also a reliable relational fit, that checks the compatibility between the hiring manager and the talent. That way, on day ZERO, we are allowing BOTH sides to see an accurate picture based on deep DATA, where people that otherwise would have been "swiped left" for the wrong reasons are being seen. It not only helps companies avoid bias, but also tap into hidden pools of talent. ( I could continue for hours !!!!!! drop me an email if you are curious about more stephie@unboxable.com )
Brice Morrison
Do the ML models take equity into consideration? How do you adjust for people coming from diverse backgrounds, so that the preapproval process doesn’t create a larger gap with disadvantaged groups?
Stephie Knopel
Maker
@bricemo Great Q! We have proven cases of talent that got rejected to the same job, same hiring manager because their CV created biased, and got hired once the company started using Unboxable. So yes, our models are indeed in continuous learning, and I believe what matters the most is that real people in real life are getting a chance to be seen like never before because of it. What do you use to avoid gaps with disadvantaged groups? Super curious and excited to learn 👍
Savian Boroanca
An ingenious concept, a successful execution and a great team + a brilliant hunter. Godspeed! 🚀
Stephie Knopel
Maker
@savian_boroanca Thanks Savian! Having built other startups I can def. say that the team here makes the entire difference, and it feels so good. And I agree with you about the amazing hunter, @benln
Savian Boroanca
@benln @stephieknopel you did an amazing job, kudos! 🙂
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