joshelgar

Really cool - keep at it.

Could you give an example of these datasets?

1. GPT4 "500 tough professions w/ hardship involved" 2. Multiply that with "500 shifts in <profession> or <industry> regulations> since 2000" 3. Get inspired to come up with - grumpy fisherman mad about mooring fees, dog walkers upset about walking limits, 10x increases in flytipping in blackpool 4. As your ideation improves, train a better gpt.

Frankly all those FB groups (min. names) are probably in the GPT training set, just a case of finding good prompts to get inspiration.

Often 40+ yr old people complain about problems that you can solve e.g. vet technicians don't like veterinary software - you can fix that somehow.

Some starting points:

- Find old datasets (hn.algolia.com "datasets", use huggingface, search arxiv)

- Use weird search engines, e.g. exa.ai (searches based on embeddings vs. google's pagerank/keywords) + google dorks. weird input = weird output

- mix 2 ideas you see - look at showcase channels on discord and pages on random frameworks, things people are building at Buildspace

- Find old facebook groups with lots of grumpy members posting regularly

These are just random strategies I use before I make things I post on twitter (https://twitter.com/joshelgar), but they work pretty well for coming up with fun projects.

Why are they benchmarking it with 20+10 steps vs. 50 steps for the other models?

Sharing another weekend project here - every "Launch HN" post ever made, coloured according to how many points they received.

Code: https://github.com/JoshElgar/HNLaunches

Data: https://github.com/JoshElgar/HNLaunches/blob/main/src/app/da...

I've open-sourced it here: https://github.com/JoshElgar/foodpixel

The tech stack was NextJS, Tailwind + Vercel.

Hey, had a similar idea, would be great to chat - can reach me at my username on google’s mail.

1. An infinite crafting game: https://foodformer.com

2. An embeddings-based job search engine: https://searchflora.com

3. I used LLMs to caption a training set of 1 million Minecraft skins, then finetuned Stable Diffusion to generate minecraft skins from a prompt: https://multi.skin

Inspired by Neal's "Infinite Craft" (https://news.ycombinator.com/item?id=39205020), I made a food-based version. You can use the sidebar to create a new food and click or drag the example ones.

Saw this on Neal's twitter a couple of days ago, it inspired me to make the food version :)

https://twitter.com/joshelgar/status/1750141793377686000

What was the point of you being pedantic? It simulates what happens in different scenarios.

Hey there, do you sponsor visas?

People sometimes forget this - people don't pay just because they use something.

And sometimes, like with Youtube, many people wish they didn't use it. It's hard to get people to pay for something they wish they didn't use.

Any idea how this compares to Supabase's Realtime & Presence libraries?

https://supabase.com/docs/guides/realtime

Hey Aaron, cool product! Well done so far.

Curious why you think no-one has done TCR before? Also, any insights on why you're bullish on the "multiplayer web"?

Will be cool to see example docs / repos as they come out!

Are you looking for graduates at all by any chance?

Hi there, are you interested in graduates at all?