Launching today
Badge
AI agents collect peer reviews to generate proof of work
601 followers
AI agents collect peer reviews to generate proof of work
601 followers
Badge gives an AI agent that collects peer reviews to build proof of work. For job seekers - The agent connects to your contacts, requests anonymous reviews from your past colleagues, and builds a verified, portable trust score. score. For hiring managers - Badge gives you a 30 second reference checks on candidates, collecting authentic feedback from their actual coworkers to replace unreliable, AI-generated resumes and LinkedIn Recommendations.
Really interesting take the shift from generic praise to verified peer reviews makes a lot of sense.
Curious: how do you handle the cold-start problem for someone brand new with zero prior colleagues to vouch for them? That's usually the hardest part in any trust/reputation system.
Badge
@mittalpatel Yes, for the cold start we have done pilots with companies and users and users have seen boost in recruiter reposnses which you see on the website
Badge
@mittalpatel That's the part which is handled by our AI agent, which reaches out to your colleagues.
The trust score concept is solid, and seeing real feedback pulled from past coworkers feels way more honest than polished LinkedIn recommendations. Curious how it handles people who don't respond promptly.
Badge
@hlyaixrq Our agent does the follow up. Without AI agents this was not possible. THanks for the comment
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@hlyaixrq So everyone starts at the trustscore of 60. If your colleague is not giving review to the agent, the score stays at 60. The Agent has other coworkers to reach out as well.
How does the agent actually convince busy ex-colleagues to write reviews without it feeling spammy or getting ignored, and do you offer any incentive on the candidate's side to nudge people to respond?
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@erolsabrlviy2 Yes Erol.
The toughest question we faced was - what's my incentive to give a review to someone else. So we built a currency on the plaform - TrustScore, everytime you give a review to someone, your trust score increases in propotion to the quality of the review and with higher trustscore you will have higher discoverability with recruiters on the plaform. Thanks for asking this question
How does Badge handle cases where former colleagues don't want to participate or simply don't respond, does that tank the trust score?
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@samierbaxfrc Great question Sami
So the construct for your colleague is not - "Review colleague X", its; Build your trustscore to get the best opportunities and in that construct, we nudge the colleague to review you first. So if the colleague is genuinely not interested in building his trust score and get best opprtunities, then yes what you said makes sense, but whenever he wants to get the best job, colleague will engage for his own incentive and benefits
For hiring managers, what kind of signals from Badge would be more valuable compared to a LinkedIn profile or references?
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@himanshu_kumar61 Great question Himanshu, As of now if you check the agent asks the skills based question, personality trait questions and some red flags questions to the reviewer and then when the user answers those questions in all these dimesions then the agent will sumarise the review. For a hiring manager, reading these reviews will be valuable and also in future we are building profile summaries - a snippet which will come on the profile and they key attributes which are showing as the signals in the reviews like - hard worker, great in system design,etc
Would hiring teams be able to compare trust signals across different roles, or is the score designed to be role-specific?
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@anshu_kumari9 Superb question and thank you for asking this.
For now trustscore is independent of the role. While asking the questions, the reviewer needs to provide the details - what is the role of the reviewee and then the agent asks specific questions, but once the questions are asked, all of them feed into one trustscore. So to answer your question - if an analyst and a dev both have 90/100 scores, both of them are equally awesome!
Ota
Congrats on the launch! I'm wondering how you handle the anonymity guarantee on the reviewer side. If someone's network is small enough, a hiring manager could potentially narrow down who said what just from context. Is there a minimum threshold of reviews before a score is surfaced?
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@faithada A wonderful question - Yes you are right here. If the network is small then the reviewee can come to know who gave the anonymous review, but then the AI agent acts as the moderator when it sumamrises the review.. Agent asks specific questions and the reviewer has to answer. The reviewer directly does not give the review. This to a certain extent helps manage the anonymity.