Launching today
Badge
AI agents collect peer reviews to generate proof of work
693 followers
AI agents collect peer reviews to generate proof of work
693 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.
Does the score ever drop, or is it purely cumulative and always trending upwards as reviews pile in?
Badge
@bradley_simon The score does definitely drop based on the reviews given. Let's say you do not perform well for quite a few projects now that reviews do get reflected on your trust score. However the good thing is that overtime you can always make up for the score lost by simply performing well.
Congrats for you! Curious to see how you keep the generated badge concise without losing the context behind the review.
Badge
@crystalmei Thats a good question Xufei, we have to manage both - not losing the context and also build the trustscore. so we have one this by having dimensions, underneath the platform we have contexual trustscores - which are then aggregated into one master trustscore - one for skill, one for interpersonal skills, and so on. This is how we are balancing the context and a generic trustscore
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.
Nas.com
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.