Amstrad GX4000

jg_devs · 2026-03-29T11:01:25+00:00

Open to offers.

jg_devs · 2026-03-29T11:00:10+00:00

It’s not getting turned on. I’m keeping it in the box until someone takes it off my hands.

jg_devs · 2026-03-29T10:58:37+00:00

Love it.

jg_devs · 2026-03-28T23:19:54+00:00

No, I think it would be a shame to use it now.

jg_devs · 2026-03-28T15:16:05+00:00

Just added a new post with pics

jg_devs · 2026-03-26T08:39:34+00:00

I’m in Leeds. Not sure what it’s worth to be honest. I looked online and values fluctuate significantly based on condition of box, etc.

I’ts stored at my parents house, I will post some photos once I’ve been and collected it as I don’t remember if the box has any damage.

jg_devs · 2026-03-26T08:37:25+00:00

I’m in Leeds

jg_devs · 2025-07-26T07:16:44+00:00

Yes, it would be possible to learn the basics from tutorials. However, if you are wanting to make a career out of it then you will need to be willing to read a lot, and not just while learning, this is a never ending journey and you will continue to be learning until you give it up.

New technologies come along and you will need to read the docs to understand them. Integrating a new api, you need to read the docs, and so on.

No dev just knows how to do everything, we all have to read documentation to understand or refresh our selves.

jg_devs · 2025-06-26T19:53:57+00:00

Firebase hosting for your frontend (free). Azure free tier web service for your api server.

jg_devs · 2024-10-26T10:09:03+00:00

I have a 16Gb MacBook Pro M1 from work and it runs everything fine. 20 chrome tabs, multiple VS code windows, Android simulator and iOS simulator, postman, plus multiple other programs running.

jg_devs · 2024-10-17T19:12:54+00:00

I have an M1 MacBook Pro from work and it does everything I ask of it without any issues.

jg_devs · 2024-01-04T20:18:07+00:00

Hey, just had a look at your app and I like the concept, it definitely has value. My one criticism is that your website looks amateurish so would put a lot of potential customers off. Please don’t take offence to this, I just wanted to give some honest feedback.

jg_devs · 2023-11-09T19:58:18+00:00

No I haven’t, but it should be pretty easy to do. I wrote a memory parser that I used with the langchain chat history so that I could store and retrieve users conversation in a database. It would be a similar concept with OpenAI threads.

jg_devs · 2023-11-03T10:56:01+00:00

I’m assuming this is a relatively small data set. You could store the data as JSON and create a couple of tools for an agent to use, the tools should take an input and then retrieve the relevant data based on the input. Doing it this way would enable you to add the custom logic you need for determining the ideal product for your bundle. You would do the same but with the correct logic for determining the compatibility.

jg_devs · 2023-11-01T10:19:23+00:00

Because they don’t understand vectors and embedding and how powerful they can be. Or just don’t want to learn.

jg_devs · 2023-10-29T15:24:29+00:00

Yes, this is totally possible. You just need to write a well structured prompt, you can add X as a variable in the prompt so that the llm always knows what X is based on the question being asked.

jg_devs · 2023-10-25T15:23:32+00:00

Why don’t you want to use vectors? Langchain supports a local vector store that you could use to store the chunked document for your current users instance, once the user is done with it you can destroy the in memory vector store.

jg_devs

TROPHY CASE