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I didn’t have a doorbell before (multiple reasons) and my house feels unwelcoming without one. So I built a doorbell app that uses a QR code - visitors scan the QR code to ring the doorbell and I get notified on my phone.

I’d love to get some feedback before I spend more time polishing the app. Please try it out and feel free to ask me any questions!

You can find the Android and iOS app links on the site.

Here is an example QR code you would put on your door. Give it a scan and say hello: https://www.thebacklog.net/img/2024/10/show-hn.png

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Article URL: https://en.bitcoinhaber.net/dogecoin-surges-after-trump-and-musk-partnership

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Article URL: https://en.coin-turk.com/cardano-price-forecasts-show-potential-for-growth/

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Article URL: https://research.atspotify.com/2023/12/choosing-marijuana-legalization-143/

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Background info: https://arstechnica.com/gaming/2010/12/ps3-hacked-through-poor-implementation-of-cryptography/

From the article:

> But when fail0verflow worked backwards from generated keys, they found out that a parameter that should have been randomized for each key generation wasn't being randomized at all. Instead, the PS3 was using the same number for that variable, every single time, making it easy to work out acceptable keys.

Which parameter are they talking about? Seed?

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Article URL: https://james-forbes.com/posts/cohost-export

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Article URL: https://stackoverflow.blog/2024/10/25/tragedy-of-the-data-commons/

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Article URL: https://traintotbd.com/2023/10/12/wait-what-happened-to-my-american-english/

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Article URL: https://www.leadinginproduct.com/p/expert-in-profession-or-expert-in-domain

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Article URL: https://blog.bemyak.net/dev/security/

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Article URL: https://www.theregister.com/2024/10/28/moscow_sewage_plume/

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Article URL: https://utcc.utoronto.ca/~cks/space/blog/web/HTTP10BlockQuestion

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hello everyone!

it's pretty hard to tell signal from noise when it comes to social media trends when trying to make short to mid-term inferences about anything.

We recently built semantic search around a (semi)real-time trends dataset we've been curating for some time now (~2 years). tldr, search queries are embedded and we perform a similarity search against our vectorized trends dataset, returning X most related trends.

There's been some interest in accessing the data directly so we built an API and some ui around this feature - we welcome you to give it a look or try and let us know what you think!

I think there could be many interesting applications in leveraging and applying this data - financial/market analysis factoring in real-time trends, AI personas that are "up-to-date" (I'm currently working on something like this), curating information/news feeds for your niche, etc. would love to hear more ideas if anyone would like to share.

you can try it out at https://trndgtr.com

leave a comment or feel free to email me directly at aurei@trndgtr.com for any questions or thoughts :)

hope you all have a peaceful pre-election week! aurei

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Article URL: https://www.theregister.com/2024/10/29/china_raspberry_pi_tunnel_testing/

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Article URL: https://twitter.com/javier/status/1850950335625388186

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Article URL: https://pubmed.ncbi.nlm.nih.gov/27510536/

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Article URL: https://www.foreignaffairs.com/united-states/emerging-age-ai-diplomacy

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Article URL: https://cacm.acm.org/news/room-temperature-superconductivity-heats-up/

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Article URL: https://www.nytimes.com/2024/10/28/opinion/japan-liberal-democratic-party.html

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Article URL: https://pico.sh/

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