Framer AI AgentsDesign and publish professional sites with AI
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
👋 Hey Product Hunt!
I'm Lokesh. Over the last 15 years, I've hired hundreds of engineers and interviewed even more candidates.
One thing kept bothering me.
Resumes tell me what someone claims they did. They rarely tell me how they actually worked.
Today that's an even bigger problem because AI can generate polished resumes, cover letters, and LinkedIn profiles in minutes. Every candidate looks impressive on paper, making it harder than ever for recruiters to separate signal from noise.
At the same time, professionals have another problem.
The people who have actually worked with them know they're great, but that proof stays buried inside company 360° feedback systems, Slack messages, or forgotten performance reviews. Every new job search starts from scratch.
That's why I built Badge.
Badge uses AI agents to collect anonymous peer reviews from people you've actually worked with and turns them into a portable proof of work that recruiters can trust.
What makes Badge different?
Unlike LinkedIn recommendations...
Reviews are anonymous, so people are far more honest.
AI agents guide reviewers with targeted questions, making reviews detailed instead of generic.
Reviews are verified through work email verification (or employment verification), reducing fake or exchanged recommendations.
Every review contributes to a Trust Score that summarizes how you collaborate, communicate, and deliver, not just what skills you list on a resume.
For professionals
Instead of asking colleagues to write public recommendations, simply invite them through Badge.
In just a few minutes you can:
✅ Build a verified Trust Score
✅ Showcase real proof of work
✅ Share your Badge on your resume, LinkedIn, portfolio or email signature
✅ Grow your professional reputation over time as more verified reviews come in
For recruiters & hiring managers
Instead of relying only on resumes or spending hours doing reference checks...
You can quickly understand how someone performs in real teams.
Badge helps surface:
• Communication style
• Collaboration
• Ownership
• Reliability
• Strengths
• Areas for improvement
Think of it as a much richer hiring signal before investing hours in interviews or reference calls.
Who is Badge for?
👩💻 Software engineers
🎨 Designers
📈 Product managers
📢 Marketers
🎯 Sales professionals
🧑💼 Consultants & freelancers
🏢 Anyone whose reputation is built through the people they've worked with
If you'd like to try it: Paste a LinkedIn URL or email to check a candidate's reviews or build your professional reputation by giving your first review. Here’s the link >> https://getbadge.app/ or if you want to look for proof of work for your next hire here is the link >> https://getbadge.in/recruiter/
I'll be here throughout launch day to answer every question, collect feedback, and discuss where we're taking Badge next.
Thank you for checking us out! 🙌
@lokesh_motwani1 Many congratulations Lokesh! :)
How I met the maker?
Lokesh and I connected in April; since then we’ve workshopped positioning, design, and launch strategy. I’ve enjoyed collaborating closely with him as Badge came together.
What is Badge?
Badge uses AI agents to collect anonymous, verified peer reviews from people you’ve actually worked with and turns them into a portable proof-of-work and a Trust Score that summarizes collaboration, communication, and delivery rather than just listed skills.
Why I endorse it?
I endorse Badge because it produces verifiable, honest feedback (anonymous reviews + work-email verification), guided by AI that prompts detailed reviews instead of generic praise, which creates a richer hiring signal than resumes or LinkedIn recommendations alone.
Check it out here: https://getbadge.app/
Badge
@rohanrecommends
Thanks for hunting Badge @rohanrecommends
It was lovely working with you!
@lokesh_motwani1 Many Congrats! Anonymous feedback tends to be more honest, but it can also be more biased. How are you thinking about balancing candor with fairness, especially when a single difficult project or team dynamic could influence someone's profile?
Badge
@swati_paliwal Great question Swati, So our idea is that over a period of time, outliers will not matter a lot, when you take a sample size of 20-30 reviews we would clearly know the strengths and weaknesses of every professional. We believe that signal will be super helpful for the hiring managers!
@lokesh_motwani1 Congrats on the traction! Badge seems like it could have a lot of potential, I'm curious to test it out!
Badge
@qubiz Thanks Phillip!
Visla
@lokesh_motwani1 very cool, good luck!
Badge
@mogabr Thanks for the wishes
@lokesh_motwani1 Love the angle of peer reviews as proof of work — did you start with the AI agent approach or iterate from manual collection first? Wondering how you handle the quality/authenticity of reviews at scale
Badge
@clquek So we started with manual collection first. then it was hard for users, then we did manual review collection, I personalyly went on zoom calls with people to collect the reviews and then i replaced myself with the AI agent. What i believe is that with AI, we can control the quality of the reviews. There will be challenges in dealing with bad users but we will need to keep on adapting and evolving.
the "org email = same company" verification makes sense as a floor, but the selection is still done by the candidate, right? even restricted to real coworkers, a candidate can invite the 5 people who like them most out of a team of 30 and skip the rest. anonymity protects the reviewer's honesty once they're asked, but it doesn't protect against biased sampling of who gets asked in the first place. traditional reference checks have the same flaw honestly, just curious if Badge does anything to push toward broader coverage of a team rather than a hand-picked slice of it
Badge
@galdayan No, Rather than only allowing candidates to hand-pick who reviews them, Badge's AI agent works independently. It pulls data from your contacts to identify people you've actually worked with and reaches out to them for a review.This means the candidate has no control over who gets asked
Badge
@galdayan Gal, No - So this is how it works.
You give access of your contact book to agent.
It finds the colleagues from your contactbook
It reaches out to all of them.
On ios though you can select few, but anyone can still review you using LinkedIn and Phonenumber.
So it is not upto you to select who reviews you. Anyone can review anyone and reviews are only verified when 2 people work in the same org.
@lokesh_motwani1 gotcha, that answers it - so it's more like "the network decides who can vouch for you" than "you curate your own panel." fair tradeoff for honesty, just means the org-verification step is doing most of the trust work here rather than the selection step
Badge
@galdayan Yes org email verification is doing most of the work, you can curate your panel as well. Yes and since the reviewer does not post a test blurrp as a review, it answers the agent which acts as a moderator, so AI agent itself is doing a lot of weight lifting for trust.
The anonymous angle is clever, feels way more honest than the glowing recommendations people slap on LinkedIn. Curious how it handles people who just ignore the request.
Badge
@hanifeerhal To build the honest proof of work, we wanted to make the reviews anonymous, for people who ignore the request, the AI agent does the follow up on messages. No effort required by the user
Badge
@hanifeerhal As for ignored requests, our AI agent follows up automatically so you're not left chasing people manually. And since reviewing someone also boosts your own Trust Score, most people have a real incentive to respond. 😊
How do you plan to make sure the reviews focus on actual work quality and impact rather than just personality or popularity?
Badge
@new_user___1562026c67bfb1f22a2d713 So that;s how the agents are designed. The agents will ask mix of both - actual work quality and interpersonal skills questions - and the work quality questions depend on the role of the person. We first ask the role of the person who is getting reviewed, ex - Software Engineer, then the agent will ask all Software engineering based qork quality questions followed by some interpersonal skill based questions
Badge
@new_user___1562026c67bfb1f22a2d713 Badge only cares about how professionally you did your job. Did you deliver? How well? How reliable? That's it. If anything, Badge levels the playing field for all persnalities. Badge shifts the focus back to actual work quality.
How does the agent actually get past the awkwardness of asking former coworkers for reviews without feeling spammy, and is there a way to control who it reaches out to?
Badge
@orhanmentet8qe Great question - When you give the agent the phone book access, it finds the people who work in the same org as yours, so the natural boundary becomes the org.
How does it actually verify that the reviews come from real past coworkers and not just friends the candidate adds on a whim?
Badge
@sedagoncal THat's a great question Seda, we use work email authentication and every review gets a blue tick, here we check that the review giver and reviewe both work in the same organisation, however we are still working on features where we know that they have actually collaborated in the same projects, What we have figure3d out is that AI agents asks nuanced questions - which becomes difficult to answer when you have not worked with the person
termique
Congrats on the launch @lokesh_motwani1 ! Really like the framing here, portable proof-of-work instead of resume claims that anyone (or any AI) can write.
Curious how you're handling the cold-start problem: for a candidate's first few reviews, how do you make sure the peers reached out to actually give honest feedback and not just do a favor for a friend, especially since it's anonymous?
Badge
@rafihalilintar Rafi, Thanks for this question. For the cold start problem we have done pilots and for the honest feedback - this was the the most challenging part. and AI agent helps there, It probes. So first it asks binary questions and just like humans, it then probes into details and the review quality comes from the the details the reviewee gives in their answers. The agent here works just like any HRBP works in the org. it understands, it probes and thats how we can figure out which review is fake and which is not