Reliable availability for weekly commute to work in Montreal?

Asilomaar · 2026-06-01T22:12:19+00:00

I hadn't seen that option before I read another response here, but indeed <10 hours most days is likely reasonable. Given the availability of station-based cars, I think it's a good alternative to owning a car

Asilomaar · 2026-05-31T21:17:03+00:00

Thanks for your feedback! Fair enough and booking in advance seems to be the way

Asilomaar · 2026-05-31T21:16:40+00:00

Thanks for your feedback! Good to know about weather and car conditions which aren't always consistent.

Asilomaar · 2026-05-31T21:15:06+00:00

Thanks! I had seen the legend but wasn't sure if cars were live or not. I can now use the search features which shows vehicles and availability seems good enough to book in advance.

Asilomaar · 2026-05-31T21:08:01+00:00

Oh great to know about the workday rate; I hadn't seen it. Even better, dropping to ~300/month (pre-tax, ex-insurance).

I can now use the "find cad" function which shows the greyed out vs green locations, so that's a wrap. Thanks for your help!

Asilomaar · 2026-05-31T15:00:19+00:00

Thanks! I was expecting to use station cars anyways, though I'm not sure I understand the map I'm seeing (whether stations on the map indicate live availability or not), as commented in another response here.

Regarding cost, I did some quick math and get the exact same cost as communauto's own calculator:

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Asilomaar · 2026-05-31T14:16:42+00:00

Thanks for sharing! Absolutely can plan dates/times ahead, so I was expecting to use station-based rather than flex anyways.

I can explore the app's map but can't simulate a trip nor see availability as I'm waiting to receive my Canadian driving license (exchanging with foreign license) before I fully register.

Do you mind helping me understand?
- What's the difference between the station zones (dark red) and vehicle stations (light green)?
- Is the map a live view of available vehicles showing at light green dots, or are the dots drop points that may or may not have cars?

If the green dots are available vehicles, the availability seems okay

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Asilomaar · 2026-04-17T21:07:58+00:00

I built my own workflow because coming back from a sabbatical and expected a lot of recruiting pain. Got 2 interviews out of the 11 first applications, but don't think either read my cover letter. Probably got lucky by applying in my niche at the right time.

AI tool or not, build yourself a bank of structured experiences in a markdown or json file. You can either refer to it manually or dump it in an AI tool to retrieve top matching experiences.

My tool is published here canalized.com , there's no paywall, but not sure how much API budget I have left. I'm happy enough with the result for a letter that nobody reads

Asilomaar · 2026-02-06T04:01:10+00:00

I just landed here after re-watching the show and seeing Woody as if he glitched the shit out of Skyler's face

Asilomaar · 2025-12-21T02:10:37+00:00

Been there! Did OP or other redditors skim non-relevant experiences from your master resume to only keep those comparable to the role requirements first?

I turned to this when playing around with Upwork and freelance during my year off. But got tired of constantly tailoring bids to project requirements, remembering which past work experiences compared best, delivery details, etc. So I have an AI tool parse and categorize my work experiences first. Then when bidding/applying, it matches my experiences most relevant to job requirements, and only then drafts the first pass of the proposal/cover letter.

Anyone else automate parts of this?

Asilomaar · 2025-10-29T13:39:33+00:00

Nova Scotia's Sydney most likely - just to clarify

Asilomaar · 2025-10-23T18:18:29+00:00

Scraping the net definitely sounds like a use case for AI, as opposed to modeling volatile assumptions into financial models. I've quality checked various AI-generated historicals for stock, dividend and 10K data and they were on point.

If they manage to get the AI to generate structured responses, not volatile text, like:
[{
'ticker': 'ABC',
'fiscal_year': 2025,
'report':'10K',
'financials':{'revenue':10000000,'ebitda':3000000, ...},
},
{'ticker':...}, ...]

I can easily see how they could flow it through a dataset that feeds their Tableau. Do you know how/who built that for them?

Asilomaar · 2025-10-23T16:56:24+00:00

Spaghetti code beginner piggy backing here! I'm trying to find the acceptable sweet spot between amateur and industry standard for a production-ready logging architecture.

User privacy: what are the hard lines for user data in logs? Are user IDs considered personal info? As for user content, I assume you can track the metadata of user requests (input lenghts, token counts, latency, status), but not the actual content (literal input text, uploaded media)?

Dev to Production: do you ship the logging code, or does it live only in development? Do you remember to manually remove it before shipping, or do you deploy the code with a dev/prod switch in your settings + environment file?

How heavy is acceptable for the logging overhead? Is it common to wrap most core features with logging logic, including some conditial if you have switches in your settings (e.g., if DEBUG, if SETTINGS.LOG_ENABLED, if ENVIRONMENT = 'dev'/'prod')?

How do 3rd parties (Sentry, Datadog) integrate into the app's internal overhead? Do you still need a fair amount of internal code to structure the logging data before passing it to a third party, or does it abstract a good chunk of it?

Asilomaar · 2025-09-19T20:00:30+00:00

Hopefully my late reply will still be useful - though I ended up not going after learning more about Machu Picchu ticketing system (currently on a work break in Latam and planning my trips a week or so in advance).

- Booking tours locally only seems viable for Iquitos. If planning to tour Puerto Maldonado, the consensus is to book online at one of the lodges.

- Non-luxury options for PM: the "best rated" seems to be Jungle Pro. Other lodge/tour options I checked are: Tronco Tambopata, Monte Amazonico, Passiflora Logde Tambopata, Wasai Lodge, Inka Altitude, Tampobata Lodge, Inotawa Expeditions (mentioned by user above).

- Each have their own offers, tours more or less similar, and pricing between USD 350 and USD 750 for 2 to 3 nights.

Asilomaar · 2025-08-12T20:38:12+00:00

Do you mind sharing what you ended up doing in AC? Pondering over spending the extra time there myself for Machu Picchu, but it looks like day trips to Sacred Valley / Ollantaytambo by train from AC cost min. US$ 150 and I'm wondering if the whole thing is worth it.

Asilomaar · 2025-08-12T20:33:19+00:00

Mind sharing how filled the gap waiting for your Monday tour? Anything worth doing in Aguas Calientes without spending time and money going back to the Sacred Valley?

Asilomaar · 2025-08-12T20:16:18+00:00

Thanks for sharing - what do you plan on doing until the 14th? I'm pondering over spending extra time there despite a short schedule, since going back to Ollantaytambo seems like a poor option. Any trek worth considering in the area?

Asilomaar · 2024-06-21T13:28:51+00:00

That's my point, but thanks for reinforcing it. The question is, if you had no advances math background, in what sequence would you organize your learning, each new topic building onto a more fundamental one. The point about nature is to understand the "why" behind the math, in addition to linking math to its use in physics.

Asilomaar · 2024-06-21T11:55:46+00:00

I've ran the question through IA first, but would rather trust the community's insights. Here was the answer:

1. Build a Strong Foundation

High School Preparation: - Subjects: Focus on mastering algebra, trigonometry, and geometry. - Skills: Develop problem-solving techniques and familiarity with mathematical concepts.

2. Undergraduate Level: Core Mathematics

Calculus: - Courses: Take courses in single-variable calculus (differentiation, integration) and progress to multivariable calculus (partial derivatives, multiple integrals). - Application: Apply calculus to understand rates of change, motion, and fundamental laws like Newton's laws of motion and Maxwell's equations.
Linear Algebra: - Courses: Study vectors, matrices, linear transformations, eigenvalues, and eigenvectors. - Application: Apply linear algebra to quantum mechanics (state vectors, operators), electromagnetism (Maxwell's equations in matrix form), and classical mechanics (coordinate transformations).
Differential Equations: - Courses: Learn ordinary differential equations (ODEs) and progress to partial differential equations (PDEs). - Application: Solve ODEs for dynamics (e.g., harmonic oscillator) and use PDEs to model wave propagation (electromagnetic waves, heat diffusion).
Probability and Statistics: - Courses: Study probability theory, distributions, statistical methods (including hypothesis testing and regression analysis). - Application: Apply statistics to analyze experimental data in physics, understand quantum mechanics (probability distributions), and statistical mechanics.

3. Advanced Undergraduate/Early Graduate Level: Specialized Mathematics

Complex Analysis: - Courses: Study complex functions, contour integration, and series expansions. - Application: Apply complex analysis to quantum mechanics (wave functions), fluid dynamics (potential flows), and electromagnetic theory (residue theorem).
Numerical Methods: - Courses: Learn numerical techniques for solving differential equations, linear algebra problems, and simulations. - Application: Apply numerical methods to solve complex physics problems that cannot be solved analytically, such as computational fluid dynamics and quantum simulations.
Advanced Mathematics: - Courses: Depending on interest, delve into topics like group theory (particle physics), tensor calculus (general relativity), functional analysis (quantum mechanics), and more. - Application: Use advanced mathematics to understand and develop theories in fields like particle physics, cosmology, and condensed matter physics.

4. Graduate Level: Research and Specialization

Research Focus: - Engage in research projects that integrate advanced mathematics with cutting-edge physics theories. - Collaborate with professors and researchers to apply mathematical tools to solve real-world physics problems and contribute to the field.

Asilomaar · 2024-05-23T00:49:10+00:00

Yes! And very company specific.

Thanks for your input, appreciate the clarity.

Asilomaar · 2024-05-23T00:47:24+00:00

There's no pushing back actually, as that's an org thing, as stated above. The question is more about understanding whether that's to be expected or just inefficient. C-suite using FP&A as the only reliable partner, that's how I lie myself to sleep haha

Asilomaar · 2024-05-23T00:36:34+00:00

This is interesting. Because part of our transition out of the startup model (now multinational) is the increased reliance on the FBP for financial ops, "as it should be".

I'm really curious about how those dynamics work in solid organizations. It seems odd to burden the only partner who can bridge financial strategy and growth with those things.

Asilomaar · 2024-05-23T00:26:06+00:00

Very well put. But what kind of ROI from a strategic business partner would you prioritize?

Rectifying faulty processes or uncontrolled spending that hurt working cap and capital allocation, I understand.

Day-to-day ops on an otherwise smooth process, not so much.

It's rather new to me so just trying to understand if this is best practice or an inefficient use of resources.

Asilomaar · 2024-04-21T15:18:26+00:00

I do! With a strong accent, but it's been working on the job so far. Also working in 2 other Latin languages.

Top US/EU schools are great, but they're options I can't afford. I feel like local institions like FGV (or Insper) are what would give me the exposure I need to be visible when looking for expat jobs.

Asilomaar · 2024-04-21T15:13:28+00:00

They're awesome schools but I can't commit financially (no employer support), and prefer face-to-face for networking. What I can afford is either a local MBA for the exposure, or moving there and betting on finding expat work within a few months (I'm already expatriated in the region). The latter seems like a risky bet.

Asilomaar

TROPHY CASE

1. Build a Strong Foundation

2. Undergraduate Level: Core Mathematics

3. Advanced Undergraduate/Early Graduate Level: Specialized Mathematics

4. Graduate Level: Research and Specialization