Launching today
Badge
AI agents collect peer reviews to generate proof of work
694 followers
AI agents collect peer reviews to generate proof of work
694 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.
Voquill
Interesting. Congrats on the launch!
What safeguards are in place to make sure anonymous reviews stay fair and aren't abused?
Badge
@henry_habib Henry, Our AI agent probes detailed question on skill, interpersonal skills and the reviewer has to answer those. The Agent then summarizes those and converts them into a review. Our feature roadmap includes to make the agent as good as a human so that it can judge bias, toxcity and to ensure review is fair.
How do you handle situations where someone had a difficult manager but was highly respected by peers? Asking for a friend :D
Badge
@krutiparekh16 So on Badge you could give an anonymous review for anyone not just manager. Your colleagues can give you a review. Our Agent will take the review so even though you have a difficult manager if your team mates have data about your work performance, one difficult manager review will not matter.
The agent-picks-the-panel design looks great, it removes the hand-curation flaw that previously made my LinkedIn recommendations useless as signal. One thing - rating systems drift toward the ceiling (Uber's 4.9 problem) and people with rough peer relationships might not join right? So scores may cluster high across the board. Is the Trust Score calibrated to force a spread?
Badge
@artstavenka1 You are correct about the Uber 4.9 problem, that happens because all of them try to game the system. I have seen a lot of drivers asking for an 5 star rating. Now giving a 5 star rating is easier but spending 2 mins to chat with an agent may or may not be having the same clustering, We need to see what happens. But one thing i want to highlight. On badge you can review a person with their linkedin also. So the reviewee need not to be on badge. So a user don't need to be on Badge in order to be be reviewed.
Work- quality question for an SWE won't transfer to a marketer's role. So if someone switches industries, does their score reset or just carry over oddly?
Badge
@brody_vincent You are right Skill based trustscore wont' transfer but basic character - hard working, smartness, etc wll transfer and in this age where people are transitioning a lot to other industries, the trust score will matter more. If I am hardworking as a SDE, I will definitely be hard working as an Interior designer.
Badge
@luki_notlowkey Based on the pilots we have done so far, anonymous reviews are more constructive. They have a lot of details. For example, one user mentioned - The person does not do good code reviews and due to this website was down for ~2hours and the team had to stay up late. You would not expect these details from non anonymous reviews
Curious how you handle peers who never respond to the agent's request, does that drag down the trust score or just stay neutral?
Badge
@eminy4fa So everyone starts at the trustscore of 60. If your colleague is not giving review to the agent, the score stays at 60
how does badge handle situations where someone’s past coworkers just dont respond, or worse, quietly say something not so great - does that drag the score down unfairly?
Badge
@burakalnta71tv Great question - Thanks for the question
One review does not pull the trustscore drastically. This is how trustscore is calculated -
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.