AdeptID’s API makes it easy for anyone building a Future of Work application to include ML in the way they discover talent without college degrees. We connect talent to jobs and training on the basis of transferable skills (rather than job titles).
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What a fantastic product. I have worked for years in the transportation, logistics and warehousing sectors and it is very difficult for companies to find talented and motivated folks and extremely difficult for middle skilled workers seeking their next opportunity to find direction for their next steps and a route forward. This looks to be a great solution linking skills and need and a big win for everyone involved. Great work, rooting for your success!
@jack_leach2 Thanks Jack - seems like a problem you have witnessed first-hand! There's a lot of work to be done making career pathways clearer...
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Love this idea! Skills >> diplomas for building elegant and useful products in the 21st century, we would certainly pilot this when you guys drop a public beta. Go Brian, Fernando and AdeptID, cheering for your success!
@jayon_wang Right on! Check out the docs and see if our initial set of public endpoints work for your use case (also happy to follow-up offline)
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I could see this becoming incredibly relevant for the immigrant community for non-English speakers who don’t necessarily have resumes they can submit and rely on word of mouth for jobs. Great work!
@winnietu4 we think you're right, there are all sorts of problems with relying on resumes to reflect a person's skills and potential, particularly for underrepresented groups. our models take relatively small amounts of info on past experience and infer a lot about the underlying skills people have developed, which may make them qualified for all sorts of new work
Good morning Product Hunters (and thanks @nikkielizdemere )!
Brian and I started AdeptID last year because we think economic mobility for people without college degrees is profoundly messed up and it’s causing A LOT of problems.
We’re not the only ones who think so, and there are a lot of great Future of Work product people out there building software to solve parts of the problem.
All of these builders need matching to personalize experiences and connect hidden talent with jobs and training - using real skills, not job titles or degrees. It turns out the ML approaches required to do this well are similar to what @briguy609 and I have worked on our whole careers.
So we went out to build a recommendation engine that uses multiple skill taxonomies, real employment outcomes and ML techniques to identify talent in non-obvious places.
Skills-based matching and technology isn’t a new idea, but it’s hard to use, siloed, and way too expensive - which is crazy because it's a technology that will only improve with more adoption!
We want to take our models, which we’re proud of, and make them accessible to large and small organizations - like what Stripe has done for payments.
Why we think it’s great:
💡 Cutting-edge ML models (previously only available to big companies)
⚖ Reduces bias (by focusing on skills rather than titles or degrees)
📃 Transparent, thorough docs (not hidden behind paywalls or NDAs)
📈 Learns from outcomes (quality of recommendations improves over time)
We’ve got lots of work to do, but we’re excited to do that work with partners among the awesome maker community on ProductHunt!
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This seems like an incredibly helpful product to heighten prospect accessibility. There are so many obstacles and barriers to careers, especially for folks who can't afford the investment needed for a college degree. Hopefully this can work to help mend that issue. Terrific stuff!
@fahim_rahman2 thanks! some of our early partners (employers and training providers) are making use of our models to help identify and promote talent from non-obvious places!
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This is really interesting. I can see an approach like this being pretty helpful to anticipate a candidate's fit for entirely 'new' roles based on novel tech, or company planning in anticipation of jobs that don't exist yet. i.e. a way to avoid ridiculous job descriptions that ask for 5 years' experience in a technology that has only been around for 2 years, but has already become the de facto tool for completing certain tasks. Bravo!
@wanbro Thanks Ewan... we're already seeing some of the employers we work with re-thinking the "years of experience" filter in sectors like renewable energy (e.g. wind turbine techs, solar panel installers) bc there simply isn't a large enough pool and many of the best candidates have only recently transitioned
I think this could be a game changer for a lot of organizations. There are lots of examples of very competent people getting "filtered" because of a faulty recruiting system.
Congratulations on the launch!
@between_team Thanks David! What's been exciting over the past year is that employers in growing sectors - who are a) struggling to meet hiring needs and b) growing more aware of systemic biases - are increasingly eager to try new solutions that help them recruit talent differently
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