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SpotAngels Blog

Company blog · spotangels.com/blog · on HN as hamzaouazzanicdatabusiness

SpotAngels Blog is the company blog at spotangels.com, writing about data and business. Since 2016, 3 different Hacker News readers have linked it 4 times. It is still writing: the last post was on 2026-10-08, and you can follow it by feed.

Visit the blog
4mentions?
3HN people?
2016–2017first – last linked?
Links on Hacker News per year · peak 3 in 2017

Too few sampled comments (1) to say how often HN recommends it.?

Why HN links it

The only linked comment is about finding street parking using parking and traffic data and choosing garage parking by price and distance. It does not discuss the blog's writing, so the posts appear to be about parking.

Summarised by Claude from a sample of 1 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.

SpotAngels helps you find free parking & garages near you. The app shows you street parking options and offers exclusive garage deals for hourly and monthly parking. SpotAngels has been featured by both Apple and Google as the Best Parking App in the US - "Waze for parking". Join other drivers in yo

The author on HN?

hamzaouazzanic · 48 karma · member since 2014

Building Maps and Communities at SpotAngels www.spotangels.com

From their public HN profile, which links to this site.

What Hacker News says?

  1. a. You can use parking / traffic data to find neighborhoods most likely to have available street parking and look for parking there. As for solving the problem of when you're allowed to park somewhere, this is already being worked on [0][1] and I would put money on it being ready before autonomous cars. b. Use parking garage app to find the best balance between distance and price of parking for the time needed. As f…

    Comment linking /

    on “Summon Your Tesla from Your Phone”
  2. Submitted We analyzed San Francisco's parking data and this is what we found as a story · 16 points

    HN discussion
  3. Submitted SF Open Data: Map of the Most Ticketed Areas In San Francisco as a story · 4 points

    HN discussion
  4. Submitted Research on the most ticketed neighborhoods in SF as a story · 2 points

    HN discussion

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