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.
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The Trust Score is interesting, but I'm wondering how is it calculated?
Badge
@ankur_jeswani The Trust Score is calculated using authenticated review from colleagues focusing on essential traits: work quality, reliability, professionalism, communication skills, and resilience under pressure. Key influencing factors - Volume: Accuracy increases as you collect more reviews, Recency: New reviews are given higher priority, Reviewer Credibility: Reviews from users with high trustscore carries more significance andConsistency: Recurrent themes identified across different reviews are heavily weighted.
New users begin with a baseline score of 60. As you maintain a presence on Badge, your reputation grows and compounds, making your professional standing increasingly credible over time.
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Can reviewers update their feedback later if they've worked with someone again in a different role?
Badge
@nuseir_yassin1 Yes reviewers can give one more review to the same person but after 3 months of cooling window. We do this to prevent abuse.
the trust score idea is smart but i wonder how hiring managers will actually use it, that side of the adoption puzzle is tricky. congrats on the launch
Badge
@shubham4real Hiring managers will check the reviews before taking interviews. Imagine this as part of explo, before deciding to go on interviewing a candidate, HMs would check the badge reviews. In future, Badge trust score will be part of ATS
Finally a way to get real references without chasing down old coworkers myself. The anonymous angle feels less awkward for everyone involved.
Badge
@bayram9ivc Yes, anonymity gives honest reviews. Allows people to work on the feedback and the key thing is with anonymity toxicity also comes on the platform, our sentiment based review filtering stops abuse and toxicity at the publishing level only
What prevents fake or biased reviews from affecting someone's Trust Score?
Badge
@robertpewpew Robert, we have ensured that we do thorough quality checks on the fake reviews to ensure that fake reviews do not get published - we do sentiment analysis, do work email authentication to ensure that only verified reviewers impact the trustscore.
One thing worth stress-testing: Raaghav mentioned a reviewer's own score rises and they get a 24h recruiter boost for leaving a review. Incentivized reviews are exactly how vouch systems get gamed. Two people who both want that boost can quietly agree to review each other well, and anonymity means no accountability for the puffery. Org-email verification proves they worked together, not that the praise is honest. Do you down-weight when a pair reviews each other close in time, or look for reciprocal clusters?
Badge
@dipankar_sarkar I agree with you Dipankar, people will form pairs. For that one thing we have done is that we do not allow them to give review to each other in 90 days after they gave a review. But we definitely think we need to put more measures where the reviews come in very close in time and penalise on the trustscore. What do you think?
Set this up with a couple of former coworkers and the reviews came back faster than I expected. The trust score feels like a genuinely useful filter beyond just a resume headline.
Badge
@aysimatruc 🎉 That's exactly what we're building towards. Really glad the experience felt smooth too. Would love to hear how it holds up as you collect more reviews!
Badge
@aysimatruc Aysima, Thanks for using the product for the feedback. Could you give some feedback on the features which we could build?