What's your cost-of-living level? Beggar to King
Life Power turns your salary and city into a rank — from Beggar to King — based on how far your money actually goes, not what you nominally earn.
The results break your intuition: a $6,000 salary makes you a Beggar in New York, but $10,000 working remote from Mexico City makes you a King. Same career, opposite lives. And $3,000 in Mexico City out-ranks $6,000 in San Francisco.
Under the hood, your level is income divided by a defined monthly basket (1-BR rent, coworking, transit, daily dining) across 200+ cities, on a log curve — backed by live, AI-refreshed cost data rather than crowdsourced surveys that can be years stale. There's also a separate "Realm" grade for the city itself (safety, internet, walkability), kept apart on purpose so a cheap-but-rough place doesn't masquerade as a great one.
Free, no signup, no card. Paste your result link anywhere and it renders as a shareable card.
What's your level?
Type your salary + city, get a level from Beggar to King (1-99)
Live, AI-refreshed cost data for 200+ cities — not stale crowdsourced surveys
Separate "Realm" grade for the city itself: safety, internet, walkability
Shareable card per result — paste the link anywhere and it renders
Compare two cities side by side and see where your salary goes further
Public methodology + full dataset as a free CSV
Free, no signup, no credit card
Remote workers deciding where to relocate — see which city your current salary actually stretches in
Negotiating a relocation package — check whether a "raise" is really a raise after local costs and taxes
Digital nomads picking a next base — compare cost, internet, safety and walkability in one place
Anyone curious how far their money would go somewhere else — in one number, shareable in one link
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Comments
12Hey Fazier — solo founder here. Life Power started as a question I kept asking as a remote worker: not "how much does this city cost?" but "what would MY salary actually make me there?" Nominal pay tells you almost nothing — what matters is income divided by what your city charges you to exist. The results are what kept me building. A $6,000 salary lands you a Beggar in New York. $10,000 remote from Mexico City makes you a King. And $3,000 in Mexico City out-ranks $6,000 in San Francisco. Same career, completely different lives. I got burned twice relocating on stale crowdsourced data (2022 rent estimates in a 2026 market), so the whole thing is built on live, AI-retrieved and cross-checked prices across 200+ cities, refreshed on a rolling schedule. Methodology is public and the full dataset is a free CSV — I'd rather you poke holes in it than take my word for it. Free, no signup, no card. Genuinely want the brutal version: which city's level looks wrong to you, and by how much?
Software engineer
Belgrade: 3-Bed Rent (center) $1.010,00/mo, internet $15,00/mo I wish it was true. Reality is at least x1.5. Either way, the site looks nice, pretty fast and fun to play around. But as always with such projects the accuracy of data is the key.
The source indicates it's an average. But my mission is to update this site frequently. The quality of info is key, agreed.
I build & lead the engineering behind AI agents · Co-Founder & VP R&D @ Dial
Love the simplified cost-of-living scale concept. How frequently do you update the data for different regions? Also wondering if there's an API for developers who want to integrate this metric into their own financial planning apps?
Thanks Omri! Prices refresh on a rolling AI-retrieval cron — most cities get touched every few days, each fetch cross-checked before it's cached (methodology's public on the site). No API yet — closest thing today is the free CSV export on the Cost Index page. An API for exactly this kind of integration is genuinely on my radar, just not built.
i write a16z speedrun scout checks within 24hours | Co-Founder & CTO at Dial AI
Remote work salary confusion finally solved. Most salary negotiations happen blind - you know the number but not what it actually buys in that city. A $10k salary in New York is poverty, but in Mexico City it's King tier. Life Power eliminates the friction of figuring out real purchasing power across cities. Relocation decisions become data-driven instead of guesswork. Digital nomads get instant city comparison without spending weeks researching. AI-refreshed cost data beats stale surveys. Real win is demystifying salary negotiations - a "raise" to Dubai that cuts your living standards becomes visible before you accept.
MyIntelBrief - Get your rivals latest moves the day they make them. Whitelabel competitive intel for agencies as well
cool idea - maybe add a 'how to get a visa to move to the King place(s)' section...
Already exists! /tools/nomad-visas ranks 31 nomad-visa countries by what it actually costs to live there. Appreciate the nudge — good sign it's the obvious next click. Thanks!
I got burned by stale crowdsourced data too when relocating. The fact that methodology is public and the full dataset is a free CSV is a huge trust signal—I'd rather poke holes in it than take someone's word for it. Does the tool account for visa requirements and tax implications, or just raw purchasing power?
Right now it's raw purchasing power — income ÷ local cost basket, no visa or tax baked into the level itself. Tax IS handled separately: /level and /compare have a pre/post-tax toggle using the destination city's rate. Visa cost/duration lives in /tools/nomad-visas. Keeping them as separate layers on purpose — collapsing everything into one score would hide which lever is actually moving your number.
i write a16z speedrun scout checks within 24hours | Co-Founder & CTO at Dial AI
Remote worker relocation friction eliminated. Most remote workers and digital nomads spend weeks researching cost of living when considering moving - spreadsheets of rent, groceries, transportation without understanding their actual purchasing power relative to salary. A 20% raise for a move to SF can feel like a downgrade once you account for housing and taxes. Life Power's genius is making that real calculation instant. Seeing exactly how far your money goes in each city removes the guessing game from relocation decisions. For salary negotiations, this removes the ambiguity of whether a relocated package actually improves your quality of life. The ability to compare cities side by side with comparable metrics means remote teams can justify flexible location policies instead of guessing. Real win for anyone whose salary isn't tied to a single geography anymore.
I really like the idea of focusing on consistency instead of endless productivity. It's a refreshing perspective, and the overall experience looks very polished. Curious to see how this evolves.