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I Write Games in C (yes, C)

https://jonathanwhiting.com/writing/blog/games_in_c/
46•valyala•2h ago•19 comments

We Mourn Our Craft

https://nolanlawson.com/2026/02/07/we-mourn-our-craft/
228•ColinWright•1h ago•250 comments

SectorC: A C Compiler in 512 bytes

https://xorvoid.com/sectorc.html
31•valyala•2h ago•4 comments

Brookhaven Lab's RHIC Concludes 25-Year Run with Final Collisions

https://www.hpcwire.com/off-the-wire/brookhaven-labs-rhic-concludes-25-year-run-with-final-collis...
9•gnufx•1h ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
128•AlexeyBrin•8h ago•25 comments

The AI boom is causing shortages everywhere else

https://www.washingtonpost.com/technology/2026/02/07/ai-spending-economy-shortages/
133•1vuio0pswjnm7•9h ago•161 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
72•vinhnx•5h ago•9 comments

OpenCiv3: Open-source, cross-platform reimagining of Civilization III

https://openciv3.org/
836•klaussilveira•22h ago•251 comments

U.S. Jobs Disappear at Fastest January Pace Since Great Recession

https://www.forbes.com/sites/mikestunson/2026/02/05/us-jobs-disappear-at-fastest-january-pace-sin...
181•alephnerd•2h ago•124 comments

Al Lowe on model trains, funny deaths and working with Disney

https://spillhistorie.no/2026/02/06/interview-with-sierra-veteran-al-lowe/
57•thelok•4h ago•8 comments

The Waymo World Model

https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-frontier-for-autonomous-driving-simula...
1064•xnx•1d ago•613 comments

Reinforcement Learning from Human Feedback

https://rlhfbook.com/
85•onurkanbkrc•7h ago•5 comments

Start all of your commands with a comma (2009)

https://rhodesmill.org/brandon/2009/commands-with-comma/
493•theblazehen•3d ago•178 comments

Vocal Guide – belt sing without killing yourself

https://jesperordrup.github.io/vocal-guide/
215•jesperordrup•12h ago•77 comments

Show HN: I saw this cool navigation reveal, so I made a simple HTML+CSS version

https://github.com/Momciloo/fun-with-clip-path
15•momciloo•2h ago•0 comments

Coding agents have replaced every framework I used

https://blog.alaindichiappari.dev/p/software-engineering-is-back
231•alainrk•7h ago•366 comments

France's homegrown open source online office suite

https://github.com/suitenumerique
578•nar001•6h ago•261 comments

Selection Rather Than Prediction

https://voratiq.com/blog/selection-rather-than-prediction/
9•languid-photic•3d ago•1 comments

A Fresh Look at IBM 3270 Information Display System

https://www.rs-online.com/designspark/a-fresh-look-at-ibm-3270-information-display-system
41•rbanffy•4d ago•8 comments

72M Points of Interest

https://tech.marksblogg.com/overture-places-pois.html
30•marklit•5d ago•3 comments

History and Timeline of the Proco Rat Pedal (2021)

https://web.archive.org/web/20211030011207/https://thejhsshow.com/articles/history-and-timeline-o...
19•brudgers•5d ago•4 comments

Unseen Footage of Atari Battlezone Arcade Cabinet Production

https://arcadeblogger.com/2026/02/02/unseen-footage-of-atari-battlezone-cabinet-production/
114•videotopia•4d ago•35 comments

Where did all the starships go?

https://www.datawrapper.de/blog/science-fiction-decline
80•speckx•4d ago•91 comments

Show HN: Look Ma, No Linux: Shell, App Installer, Vi, Cc on ESP32-S3 / BreezyBox

https://github.com/valdanylchuk/breezydemo
278•isitcontent•22h ago•38 comments

Learning from context is harder than we thought

https://hy.tencent.com/research/100025?langVersion=en
201•limoce•4d ago•112 comments

Monty: A minimal, secure Python interpreter written in Rust for use by AI

https://github.com/pydantic/monty
289•dmpetrov•23h ago•156 comments

Hackers (1995) Animated Experience

https://hackers-1995.vercel.app/
558•todsacerdoti•1d ago•272 comments

Making geo joins faster with H3 indexes

https://floedb.ai/blog/how-we-made-geo-joins-400-faster-with-h3-indexes
155•matheusalmeida•2d ago•48 comments

Sheldon Brown's Bicycle Technical Info

https://www.sheldonbrown.com/
431•ostacke•1d ago•111 comments

Show HN: Kappal – CLI to Run Docker Compose YML on Kubernetes for Local Dev

https://github.com/sandys/kappal
22•sandGorgon•2d ago•12 comments
Open in hackernews

Show HN: Tool shows UK properties matching group commute/time preferences

https://closemove.com
11•fryingdan•5mo ago
I came up with this idea when I was looking to move to London with a friend. I quickly learned how frustrating it is to trial-and-error housing options for days on end, just to be denied after days of searching due to some grotesque counteroffer.

To add to this, finding properties that meet the budgets, commuting preferences and work locations of everyone in a group is a Sisyphean task - it often ends in failure, with somebody exceeding their original budget or somebody dropping out.

To solve this I built a tool (https://closemove.com/) that:

- lets you enter between 1-6 people’s workplaces, budgets, and maximum commute times

- filters public rental listings and only shows the ones that satisfy everyone’s constraints

- shows results in either a list or map view

No sign-up/validation required at present. Currently UK only, but please let me know if you'd want me to expand this to your city/country.

This currently works best in London (with walking, cycling, driving and public transport links connected), and works decently in the rest of the UK (walking, cycling, driving only).

This started as a side project and it still needs improvement. I’d appreciate any feedback!

Comments

TrufiAssoc•5mo ago
Excellent! What are your data sources? OSM?
fryingdan•5mo ago
Thanks Trufi!

As this is more of an MVP for now, I mainly rely on APIs such as Google Geocoding API, Mapbox, etc in the backend, but this is certainly limited. If there was a dedicated user base who found value in this, I'd look to increase granularity/accuracy and reduce costs by working with raw spatial data and doing GIS/network analysis type stuff in-house instead.

Although, I do use OSM on the site as a map view source!

fryingdan•5mo ago
Technical Details: Serverless Backend -> AWS Lambda function written in python that is accessed via API gateway. Also uses S3 for pre-stored geographic shape files for specific locations. Uses shapely package for geographical/spatial analysis. - Gist of Python code: * Receives inputs from frontend (commute method, commute time, commute location, budget most important)

* If coordinates of commute locations are not cached in s3, reaches out to Google Geocode API to get them.

* Based on commute inputs, calculates the intersectional commute area for all housemates. If this is 0, then the program can return 0 properties to the user early as there are no houses there...

* The intersectional commute area is often a multipolygon (multiple shapes), and many APIs do not accept multiple shapes as a query input. Many APIs also do not like complex geometries (often only accepting x max points).

* To get around this, each polygon within the multipolygon is simplified with the Douglas-Peucker algorithm iteratively until the points in the resulting polygons within the multipolygon sum to a total of (x - 2(n-1)) where x is the maximum allowed shape points on an API and n is the number of individual polygons.

The remaining simplified multipolygon is then connected with nearly-infinitely-small bridges [which adds 2 points between each shape, hence x - 2(n-1)].

Once this geometry is calculated, valid properties can be found and returned to the user based on bedroom, bathroom, budget etc preferences.

Vanilla JS frontend - uses leaflet.js for the map functionality.

ajoseps•5mo ago
wow I’ve been looking for something like this for an upcoming move! Would be nice to also have options to do more granular filtering, like number of bathrooms.
fryingdan•5mo ago
I hope it can be of good use!

You can do that! You can filter once the search results are returned - but thanks, I will try to make this more obvious within the UI and allow filters earlier on :)