Feed aggregator

Today's Wordle Hints, Answer and Help for May 26, #1802

CNET Feed - Mon, 05/25/2026 - 4:01pm
Here are hints and the answer for today's Wordle for May 26, No. 1,802.
Categories: CNET

Today's NYT Strands Hints, Answers and Help for May 26, #814

CNET Feed - Mon, 05/25/2026 - 4:01pm
Here are hints and answers for the NYT Strands puzzle for May 26, No. 814.
Categories: CNET

Today's NYT Connections Hints, Answers and Help for May 26, #1080

CNET Feed - Mon, 05/25/2026 - 4:00pm
Here are some hints and the answers for the NYT Connections puzzle for May 26, No. 1,080.
Categories: CNET

How to Be Old

Hacker News - Mon, 05/25/2026 - 3:51pm
Categories: Hacker News

Ask HN: What are you using for blogging?

Hacker News - Mon, 05/25/2026 - 3:50pm

I used to be an avid blogger and want to get back into the flow. What blogging platforms are you using, if any? Just vibe code an Astro JS or Hugo blog, or are Ghost and Substack the way to go?

Comments URL: https://news.ycombinator.com/item?id=48270869

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: I made Pokémon but with real animals in the real world

Hacker News - Mon, 05/25/2026 - 3:48pm

Firstly, apologies, it's not free. It would be difficult to support this for free, it's a paid game.

I will now share the technical details, which will probably be most of interest for HN readers.

I previously made a carbon footprint tracking app where you photo objects and it tells you the carbon footprint by using an LLM to estimate the data on the fly, e.g. 32kg CO2e / kg of beef, in the UK. At some point, I realised that it is possible to make a Pokémon-style game, but capturing real animals in the real world.

This is now possible because: - image recognition is cheap, i.e. identifying animals, and the models (gpt-4o) can detect a (surprisingly) large number of animals and output their exact species. - LLMs can output a species' full taxonomy, pretty reliably. And, more importantly, they can generate game data quickly, on the fly.

It would unfeasible to generate the game sprites (images) for every species (millions, worldwide) and their full evolution chain, e.g. caterpillar, chrysalis, butterfly, ahead of time. I realised it's possible to do this in real time.

General game flow: - photo animal - send to gpt-4o - return species - send species to LLM, create evolution chain, plus attributes, types and moves. - in parallel, create sprites.

All data is cached.

The aim of the game is to build up your team and compete with other players to take over gyms.

The game is based in the real world, I had to come up with a way to have health centres and shops. These must both have decent coverage, globally. The solution is health centres are places of worship, e.g. churches, mosques, temples etc and shops are real world grocery stores. Every country as far as I can tell has places of worship, with good distribution, which was surprising. Gyms are located in every park worldwide.

Challenges:

How to get players outside: - I use openstreetmap for the game map, but I overlay my game design on top of it. - To physically make players go out into nature: I use openstreetmap area types to only allow capturing animals when your GPS location is in natural areas, e.g. woodland, parks etc. The aim of the game is to get you out into nature and appreciating animals. - Level system: The solution I came up with is to set the animal levels based on the proximity to built-up areas, e.g. Every ~500 meters you go away from built-up areas, the animal level bands increase by 5 levels. - It would be expensive to render the entire physical world in my game map, so I instead render the map on the fly, deterministically.

I also fetch animal calls in real time so that when they enter battle you hear a pigeon cooing, for example, which is pretty cool. I also fetch the animals conservation status, i.e. how endangered is it, and give you more reward (leaves, in-game currency) for capturing rarer animals.

I "launched" the game about a month ago, but have not really been publicising it as I've been working on various updates and improvements, but now I am sharing it more openly. It's got about 20 players so far, from around the world, and around 500 unique animal species have already been encountered.

Challenges have been keeping the costs low. Servers cost about $200 / month, text-gen is basically free as I get free tokens from OpenAI for sharing data, it's not privacy-related, and image-gen costs about $0.04 per sprite (2 per animal).

My background: not a programmer, originally a mechanical engineer and then business development manager, then started learning programming and building apps with AI in the last few years.

Feel free to ask me any technical details, happy to share.

Comments URL: https://news.ycombinator.com/item?id=48270848

Points: 1

# Comments: 0

Categories: Hacker News

Pages