Alternatives
Products that do what MapWars does
Own a San Francisco neighborhood - Bidding starts at $10
- 1SF
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on. - it runs at the lowest possible margins (<$2.00/hr per H100) - designed for bursty training runs, so you can take say 128 H100s for a week - you don’t need to commit to multiple years of compute or pay for a year upfront Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait…
2023 · sfcompute.org
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historically, rentals in NYC have been pretty wild. the median 1BR in West Village as of July 2025 cost $5,750/month. about a month ago, NYC passed a law to ban broker fees which many predicted would have increased rents. I realized I had access to some original data from a previous project so I built a dashboard to help me visualize the changes and see for myself. you can filter by neighborhoods, bedrooms, original source where the rentals were posted, and select a timeframe. this is still a work in progress, so apologies in advance for any issues you encounter. I would love any…
2025 · leaseswap.nyc
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2013 · parkroulette.com
- 12MH
2017 · census-income-map.herokuapp.com
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Hi everyone, I am organizing a crowdfunding campaign to give blankets/food/books/glasses and new year's postcards to 1000 homeless people in San Francisco. Since we as the residents already spend a lot of money on the homelessness issue in SF via government(200MM+/year), I thought some of us would be willing to take a more active role in fixing this issue by donating to campaigns like this one(and to more sustainable ones). So, I am thinking of turning this campaign into a crowdfunding platform for activists and organizations that want to work on homelessness related…
2014
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2020 · officialdata.org
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2012 · shoptheshelf.com
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2019 · givecrew.org
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I recently developed a JavaScript library that determines what San Francisco neighborhoods and/or districts someone is in. The application is served from Google App Engine so if no one is using the application the server instances are shut down and your first couple queries might be slow. But after a couple instances are spun up it performs quite well. The example application is just an example so it's not very sophisticated or pretty to look at. For the example to work properly it must run on a device that supports the HTML5 geo location API such as an iPhone. If you get chance take a…
2013
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Pay-to-bid auction for 10 ad spots on my Mac Mini's lid
10d ago · brandmymacmini.online
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2013 · sfwat2do.com
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