Badge

AI agents collect peer reviews to generate proof of work

5.0•2 reviews•

1.1K followers

AI agents collect peer reviews to generate proof of work

5.0•2 reviews•

1.1K followers

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Hiring software

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.

Badge Reviews

Name: Badge
Rating: 5.0 (2 reviews)

The community submitted 2 reviews to tell us what they like about Badge, what Badge can do better, and more.

5.0

Based on 2 reviews

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Other Reviews (2)

•30 reviews

What's great

The orchestration of background AI agents to autonomously crawl, parse, and verify asynchronous professional histories introduces a high-signal alternative to subjective reference checks. By leveraging structured sentiment analysis pipelines and work-domain email verification protocols, Badge builds a portable, decentralized "trust score" that resists the fraudulent recommendation swaps typical of traditional networks. Moving professional proof-of-work calculations entirely closer to peer-to-peer project coordination loops effectively filters out algorithmic resume bloating at the sourcing layer.

What needs improvement

The dependency on third-party email domain loops and contact sync pipelines introduces substantial cold-start friction for candidates with fragmented or older work history data. Without a temporal decay function applied to historical sentiment nodes, an inaccurate or vindictive peer assessment submitted early in a lifecycle could permanently drag down the aggregate trust score with zero recourse for historical growth. Furthermore, as candidate tracking pools scale, the rating distribution runs an active risk of ceiling compression, shifting toward the identical inflated values seen in conventional consumer ratings.

vs Alternatives

I evaluated traditional resume parsers, manual human resource verification flows, and public LinkedIn recommendations. While enterprise background checks confirm employment dates, they fail to track day-to-day team dynamics, and standard public endorsements universally suffer from performative inflation. I opted for Badge because its multi-agent polling framework systematically decouples the candidate appraisal loop from single-manager biases, establishing an objective 360-degree performance overview built on authenticated coworker contexts.

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11 views19d ago

•51 reviews

What's great

Connected my LinkedIn just to see how it works and the agent reached out to a couple of past coworkers on its own - got a decent trust score back within a day without me having to awkwardly ask anyone directly, which is usually the annoying part of collecting recommendations.The anonymous + work email verified combo is what makes this actually different from LinkedIn recommendations

What needs improvement

Curious how this handles the cold-start problem for someone very early

in their career with only one or two past coworkers to reach out to -

the maker mentioned even 2-3 reviews can be meaningful, but I'd want

to see how the score reads with a very thin reviewer pool before

trusting it fully as a hiring signal. Also would be nice to have more

visibility/control over exactly which contacts the agent reaches out to.

vs Alternatives

Looked at Peerlist, but that's more of a public professional network/

portfolio, not focused on verified peer feedback specifically. Badge's

narrow focus on turning real coworker feedback into a portable trust

score felt like a sharper solve for the "resumes are unreliable now"

problem specifically.