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addy999

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1 points·by addy999·8 mesi fa·0 comments

Show HN: NativeBlend – Text to fully editable 3D Models that don't suck

native-blend-app.vercel.app
2 points·by addy999·9 mesi fa·1 comments

Building Effective Text-to-3D AI Agents: A Hybrid Architecture Approach

addy.rocks
20 points·by addy999·9 mesi fa·3 comments

I built a Context7 alternative that costs 40% less with similar code quality

1 points·by addy999·10 mesi fa·0 comments

LLMs can now generate 3D models (example)

i.imgur.com
3 points·by addy999·10 mesi fa·1 comments

Web agents can simplify web browsing

onequery.app
2 points·by addy999·2 anni fa·0 comments

I liked Microsoft's OmniParser model so wrapped it in an API

github.com
1 points·by addy999·2 anni fa·0 comments

Ask HN: How do you handle repetitive research tasks in your workflow?

1 points·by addy999·2 anni fa·2 comments

comments

addy999
·9 mesi fa·discuss
In my testing I tried Gemini 2.5 Pro, Qwen 3 Coder 480B and Opus
addy999
·10 mesi fa·discuss
Thanks to tools like Blender and MCP servers, models from Gemini to Qwen can be used to create fully usable models.

Having LLMs generate code to build a model by using tools like an artist would drastically increases quality over models produced directly by text-to-3d models like Hunyuan3d

More examples I was able to generate: https://imgur.com/a/3d-models-generated-by-ai-agent-qzOMpqr
addy999
·2 anni fa·discuss
[dead]
addy999
·2 anni fa·discuss
I'm building an AI web agent to fetch detailed information. Looks up and browses sites just like you.

Have just over 500 developers signed up and releasing our client library soon.

https://www.onequery.app
addy999
·2 anni fa·discuss
I find v0.dev is remarkably good at this. But deploying straight from there is not frictionless atm.
addy999
·2 anni fa·discuss
Your approach makes a lot of sense. Especially for "old school" websites with simple Server Side rendered pages, tables are a treasure of data. Wikipedia tables would be a great use of your tool too.

I was thinking more on the lines of programmatic access that `enforces` structured output. LLMs are really good at this step. Define a schema and get an output that is guaranteed to fit.

You can see some examples of what I mean here: https://query-rho.vercel.app/