A lot of you must be wondering how does @graph actually audit a Data & AI resume.
So thought of sharing what's under the hood.
Every bullet point gets checked against 7 things:
What: the work itself. What was built, changed, fixed or delivered.
How: the tools, languages, platforms or methods used.
Scale: how big the work was. Data volume, record counts, number of pipelines or users, budget. "Large-scale" with no figure is vague. And a percentage never counts as scale.
How much: a measured result. A percentage, time saved, cost, a before and after. "Improved" or "faster" with no number is vague.
Why: the problem or purpose behind the work. What was wrong before.
Your role: was it actually your work? Built, led, owned pass. Helped, supported, "worked on" are vague.
Outcome: who it helped. Users, the team, the business, a system. If the effect is only implied, it's vague.
Love the idea. I think having a structured record of your professional journey could be valuable even when you're not job hunting.
Interesting approach. Is this for recruiters as well, or just job seekers? @vikramkparekh @lucky7x_ .
Btw, Congratulations !! I am equally curious and excited to let the world see this magic.
@jilian_macwan Thanks for the encouragement. Yes, the end goal is that @graph becomes "the context behind your work".
Jobs / Recruiters / Companies Hiring directly via graph - all of those are use cases that we have on our roadmap. But for now, the focus is squarely on helping the job seeker tell their story - confidently answer "Why should we hire you?"
@vikramkparekh @jilian_macwan Thanks, Jillian! Exactly what we had in mind. Your professional journey is much bigger than your next job search, and that's the perspective we're trying to bring into graph. 😊
It surely looks very interesting especially because I've been looking at something like this for a while now. Just curious how different this would be from using Chatgpt or Claude? @graph
@aiban_allya Thanks for asking. I think the short answer is comparing a generalist vs. specialist.
Today, almost everyone relies heavily on using AI to polish their resume...and when everyone does that, you end up looking pretty much the same like a few hundred applications for that job.
Think of @graph as your specialist buddy doing mock resume screening & interview prep - it starts by reallly getting deep into your experience, asks very very specific questions, forces you to reflect on why what you did mattered, it's trade-offs, failure modes etc.
Once it's got all the info, you can generate tailored resumes and interview prep based on the job you're applying.
So, can you do all of this in ChatGPT - yes, but then you'll have to be extremely phenomenal at prompting, and not get tired of repeating yourself.
Give it a shot - let me know how it goes.
@aiban_allya Good question! Think of ChatGPT and Claude as general-purpose assistants, while graph is purpose-built around understanding and documenting your professional experience. The context you build stays with your professional profile.
One thing I realised while building graph is how difficult it is to capture someone's actual work in a few lines.
Two people can have the same job title and skills, but their experiences, projects and the problems they've solved can be completely different.
That's something we kept thinking about while shaping graph. We wanted to go beyond the usual professional profile and bring more context to what people have actually worked on.
A lot of our product decisions came from exploring that idea, talking to users and figuring out what would genuinely be useful.
Really enjoyed building this one. There's a lot of thought behind it.
@lucky7x_ enjoyed building this with you. Looking forward to taking it to the world :)
Damn, tried it - showing 40+ questions to answer. Good deep questions though…Looks like I’ll have to upgrade and take some time out to answer these. @graph
@amrita_panigrahy :) Please do - use our promo code just for PH community. I'm here all day or on support@mygraph.id in case you have any questions / feedback.
@amrita_panigrahy We spent quite some time figuring out what questions would actually bring out meaningful context about someone's work. Glad you found them interesting! Looking forward to your feedback.
Hey Product Hunt! Vikram here, founder of graph.
I run an 8-year-old specialist recruitment agency that helps well-funded startups and global enterprises hire Data, AI & Analytics professionals in India.
Over the years, I've realised that most candidates find it difficult to articulate what they've done.
Whether it's on their resume, LinkedIn profile or even in interviews, candidates are either too vague, too short or too verbose, and often assume that the other person will automatically understand everything, or have the time and willingness to ask probing questions.
And tbh, things got especially worse over the last year or so. AI-polished resumes became very good at sounding impressive without necessarily adding any real value for the reader.
graph fixes that.
Here's how it works:
You start by uploading your resume
Answer a few targeted questions
graph then spots the missing context & evidence
From there, you can use graph to:
Articulate your decisions, trade-offs and impact
Generate tailored resumes and interview prep sheets by role
Claim a personalised URL, e.g. mygraph.id/<yourname>, and decide what to showcase publicly and what to keep private
Feel much more confident while answering: “Why should we hire you?”
Exclusive for Product Hunt:
Click here - 30% off on our 3 Months Plan - Full Access
- Resume audit
- Unlimited questions on what's missing
- Unlimited tailored resumes and interview prep sheets by each role you apply
- Export in editable Word doc
- Connect trust signals (Kaggle, Github and more)
- Custom public URL
- Private by default
So if you're a Data, AI or Analytics professional, I'd love for you to try graph and share your feedback in the comments:
Were the questions around missing context actually helpful, or did they feel superficial?
Did graph help you think about or articulate your work better?
Did you try generating a resume in graph, and compare your original resume? If yes, what did you think?
Anything else that we can do better?
Would love your feedback. 🙏 👇
Congrats guys @vikramkparekh @lucky7x_ . Sooo needed. Being pressure tested is probably a great way to improve our chances to crack interviews. @graph
@ahona_nandi Thanks a lot.
@vikramkparekh @ahona_nandi Thanks, Ahona! We really hope graph helps people walk into interviews with a much better understanding of how to talk about their own work. 😊
Great idea! Excited to see this develop further.
@martin_janse_van_rensburg Thanks a lot for your encouragement. Means a lot the team.
@martin_janse_van_rensburg Thanks, Martin! It's been quite a journey getting this out there. Excited for what's ahead and looking forward to learning from everyone using it.