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Apr 2408:30 PM IST
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Join us for a Live Coffee chat with Jenifer Turtschanow where we talk about enhancing your MBA profile and fixing gaps in just 4 months.
Apr 2511:00 AM EDT
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Looking to secure a coveted spot at a top business school? Our team of seasoned MBA admissions consultants, including top B schools alumni and industry leaders, is here to help turn your dreams into reality. Let’s kick-start your journey to success!
Apr 2908:00 PM EDT
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Join us for a live Ask Me Anything (AMA) session with Juno’s Co-Founder, where we’ll break down everything you need to know about financing your MBA in today’s rapidly changing landscape.
Apr 3010:00 AM EDT
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Applying to business school from a finance background? Personal MBA Coach is here to help with this quick tips video on how to set yourself apart during the MBA application process!
Apr 3010:00 AM EDT
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Sia Admissions Founder Susan Berishaj will walk through why reach/target/safety produces the wrong list for many specific profiles, how admissions committees at different programs read the same background differently, and more...
Apr 3012:00 PM EDT
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Starting at $975 and offering up to $545 of savings, our new Amplify Hourly Packages offer structure and support in certain high-value areas (story development, resume, essays, interviewing) to help get your applications across the finish line.
Apr 3009:00 PM IST
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Thinking about PE/VC? Most consultants are. Few actually make it. Learn how to position your profile, build the right skills, and break into Private Equity & Venture Capital.
21 Apr 2026, 02:52
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I'm an INSEAD alum, spent the last few weeks building the MBA ROI tool I wished existed when I was applying. Every calculator I found assumed you were going to New York or London. Half my cohort went back to Shanghai, Singapore, Mumbai, Dubai — and none of the tools modeled what actually happens to those people financially.
So I built it. Free to use for your first scenario. No signup. No email required to get a verdict.
Link: https://trade.pgintel.dev/mba-fit
What it covers:
An MBB Associate at McKinsey Shanghai clears ~$215k total comp. Same role at McKinsey NYC clears ~$275k. NYC pays 28% more on paper.
But:
Same pattern broadly holds: LDP in Shanghai vs Miami, IB in Mumbai vs London, Tech/PM in Bangalore vs SF. Asia wins on immediate lifestyle; US wins on long-term wealth compounding. The tool tries to tell you which matters more for your specific case.
What it honestly won't do:
One full scenario with verdict, promotion curve, life simulator, brutal insights, 10-year wealth arc. If you want to compare scenarios side-by-side, unlock the full engine + 8-page PDF report for $14 (early-bird — first 100 users). After that it's $19.
I kept the price deliberately low because the honest feedback loop matters more than the margin right now.
Why I built this:
I wanted it for myself a few years ago. Writing the logic forced me to be honest about things I'd have rationalized away — tech MBAs to SF really do come out ahead long-term if you stay (but most people don't stay). LDP in Europe is comp-underwhelming but life-rich. IB in HK is brutal but the carry math is real.
Happy to answer questions about methodology, data sources (INSEAD/LBS/IMD/HBS/Wharton/Booth employment reports, Transparent Career, Levels.fyi, WSO bonus threads, Numbeo for CoL), or why I made specific modeling choices.
If you try it and think a number is wrong, tell me — I'd rather fix it than defend it.
So I built it. Free to use for your first scenario. No signup. No email required to get a verdict.
Link: https://trade.pgintel.dev/mba-fit
What it covers:
- 21 top programs across three tiers — European elite (INSEAD, IMD, LBS), US Top 15 (HBS, Stanford, Wharton, Booth, Columbia, Kellogg, MIT Sloan, Yale, Tuck, Ross, Stern, Haas, Darden, Fuqua, Anderson), Asian top (NUS, CEIBS, HKUST)
- 8 career tracks — MBB, Tier-2 consulting, IB, PE/VC, LDP, Marketing, Tech/PM, Startup
- 41 post-MBA cities including the ones usually ignored in Western tools: Shanghai, Beijing, Shenzhen, Mumbai, Bangalore, Bangkok, Tel Aviv, Dubai, Taipei
- Year-by-year comp progression using median promotion multipliers, not top-quartile — this is the #1 calibration error I see in other tools
- Lifestyle coverage — can your actual take-home comp fund an "affluent" life in that city (housekeeper, international schooling, decent apartment)
- Brutal insights with citations when the math says your plan doesn't work
An MBB Associate at McKinsey Shanghai clears ~$215k total comp. Same role at McKinsey NYC clears ~$275k. NYC pays 28% more on paper.
But:
- Shanghai on $215k = 115% coverage of "affluent" lifestyle (live-in ayi, international school for 2 kids, nice apartment in Jing'an district, regular travel)
- NYC on $275k = 46% coverage of equivalent lifestyle in Manhattan
Same pattern broadly holds: LDP in Shanghai vs Miami, IB in Mumbai vs London, Tech/PM in Bangalore vs SF. Asia wins on immediate lifestyle; US wins on long-term wealth compounding. The tool tries to tell you which matters more for your specific case.
What it honestly won't do:
- Doesn't know your specific offer — uses school averages. Top-quartile performers beat the modeled trajectory by 1.2-1.4×; strugglers undershoot
- Doesn't factor H-1B friction for Indians staying in US (adding next week)
- Figures are directional medians — verify with your school's career office before enrolling
One full scenario with verdict, promotion curve, life simulator, brutal insights, 10-year wealth arc. If you want to compare scenarios side-by-side, unlock the full engine + 8-page PDF report for $14 (early-bird — first 100 users). After that it's $19.
I kept the price deliberately low because the honest feedback loop matters more than the margin right now.
Why I built this:
I wanted it for myself a few years ago. Writing the logic forced me to be honest about things I'd have rationalized away — tech MBAs to SF really do come out ahead long-term if you stay (but most people don't stay). LDP in Europe is comp-underwhelming but life-rich. IB in HK is brutal but the carry math is real.
Happy to answer questions about methodology, data sources (INSEAD/LBS/IMD/HBS/Wharton/Booth employment reports, Transparent Career, Levels.fyi, WSO bonus threads, Numbeo for CoL), or why I made specific modeling choices.
If you try it and think a number is wrong, tell me — I'd rather fix it than defend it.
22 Apr 2026, 10:40
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Bookmarks
Hi. I tried to use but when I open the link it selects INSEAD automatically, and then if I change to another school I'm not allowed to continue because the free trial was already used with INSEAD (it's not the school I wanted to simulate).
22 Apr 2026, 16:30
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Hi there,
Thanks so much for the note.
Your comment is fair.
If I can ask, what do you think is the reasonable balance between free and useful vs. paid and very useful.
It costs money for each separate profile because it runs agents and there are API costs.
If $14 is too much, what do you think would be worth paying?
Thanks so much for the note.
Your comment is fair.
If I can ask, what do you think is the reasonable balance between free and useful vs. paid and very useful.
It costs money for each separate profile because it runs agents and there are API costs.
If $14 is too much, what do you think would be worth paying?
