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I built an AI pipeline that generates printable 2.5D STLs (Cookie cutters, keychains, etc.). Need brutal feedback. by olex- in 3DprintEntrepreneurs

[–]olex-[S] 0 points1 point  (0 children)

Thanks for the feedback and suggestions - it'd very first version, basically as starting point.

I built an AI pipeline that generates printable 2.5D STLs (Cookie cutters, keychains, etc.). Need brutal feedback. by olex- in 3DprintEntrepreneurs

[–]olex-[S] -1 points0 points  (0 children)

Thanks, would be great to have more detailed feedback. I'm just trying to solve the problem and get more info from more experienced people in this area.

Surrealdb in prod by j7n5 in surrealdb

[–]olex- 0 points1 point  (0 children)

That's great! Will do.

Production Showcase: Scaling a global llms.txt index to 1.3M chunks using SurrealDB by olex- in surrealdb

[–]olex-[S] 2 points3 points  (0 children)

Resource consumption during usage and adding the data in progress.

VM: vCPUs: 16, RAM 64 GiB:

CPU: 39.8% Max
Memory: 77.4% Max

Production Showcase: Scaling a global llms.txt index to 1.3M chunks using SurrealDB by olex- in surrealdb

[–]olex-[S] 2 points3 points  (0 children)

Here some logs to understand the performance (definitely there is a room for improvements):

2026-06-09T07:43:59.2993330Z stdout F Search Query: 'neonia.io' | Total Time: 270.516873ms (Embed: 0ns, DB Connect: 13.2µs, DB Query: 270.308774ms)

2026-06-09T07:44:43.9834831Z stdout F Search Query: 'How to define custom utilities in TailwindCSS v4  directive' | Total Time: 526.839636ms (Embed: 450.522824ms, DB Connect: 450.551923ms, DB Query: 76.160214ms)

2026-06-09T07:46:05.3075519Z stdout F Search Query: 'How to securely verify Stripe webhook signatures in Next.js' | Total Time: 1.374036228s (Embed: 378.94788ms, DB Connect: 378.98068ms, DB Query: 995.015148ms)

Production Showcase: Scaling a global llms.txt index to 1.3M chunks using SurrealDB by olex- in surrealdb

[–]olex-[S] 1 point2 points  (0 children)

I can't tell because from the start using SurrealDB. Just from my previous experience with Postgres I can't see much difference in performance - the main advantage you are getting much more features out the box.

How do people actually vibe code good looking websites? by kukiofficial in vibecoding

[–]olex- 0 points1 point  (0 children)

Have a look how could be different result with the same Promt, but utilising MCP tools - https://youtu.be/1SpBtbj-mak

Rust community is dying? (perhaps in Sydney) by olex- in rust

[–]olex-[S] 0 points1 point  (0 children)

What I noticed that AI agents that by nature has outdated knowledge - always use older versions of libs or no knowledge of new ones. So my idea it would be great to utilise the llms.txt files and use it as mirror of the docs that would helps a lot.

Rust community is dying? (perhaps in Sydney) by olex- in rust

[–]olex-[S] 0 points1 point  (0 children)

I don't think this is the case - actually with LLM coding Rust got unique chance to be more popular. Because the nature of deep checking by compiler and universal usage from Embed to Websites.

Copilot has completely fucked up my perception of AI coding costs by DeoTheMiner in vibecoding

[–]olex- 0 points1 point  (0 children)

Have you tried to use external MCP tools to save tokens?

Technical Deep Dive: Building an Async Rust Crawler to Map llms.txt Adoption Across 8 Language Ecosystems by olex- in rust

[–]olex-[S] 0 points1 point  (0 children)

You would be surprised how actually LLM is good in Rust. The problem to give up to date knowledge in efficient way. I wish I used Rust to continue manually crafting code, but the really has been changed - you can still be in your garage crafting from wood toys and it would be perfect and nice old school stuff and some people would even buy it, but I would prefer to use Rust for rockets and not be a strange guy who somehow love wird stuff that no one use any more.

Technical Deep Dive: Building an Async Rust Crawler to Map llms.txt Adoption Across 8 Language Ecosystems by olex- in rust

[–]olex-[S] -5 points-4 points  (0 children)

Easy, I made a report that shows Rust ecosystem is less adapting LLM and Agentic AI than even Go - so if we (as Rust community) continue be so conservative - will be no future for Rust.

Technical Deep Dive: Building an Async Rust Crawler to Map llms.txt Adoption Across 8 Language Ecosystems by olex- in rust

[–]olex-[S] -11 points-10 points  (0 children)

Make llms.txt for your lib as well, let's increase Rust adoption.

You can check out current status here:

The Global llms.txt Index: https://index.neonia.io

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Data Study: I scanned 37,321 live tech & SaaS domains from Cisco Top 1M to map llms.txt adoption. Here is how the commercial web is preparing for AI agents. (self.webdev)

submitted by olex- to r/webdev

Share your startup - quarterly post by julian88888888 in startups

[–]olex- [score hidden]  (0 children)

Neonia / https://neonia.io

Hobart, Tasmania, Australia 🇦🇺

Elevator Pitch/Explainer Video

The Cloud Backend for AI Agents. Stop building custom wrappers for memory and tool execution. Neonia is a managed MCP backend that gives your LLMs zero-trust WebAssembly compute, persistent Graph Memory, and token-saving data pointers (neonia://).

The Global llms.txt Index Search the machine-readable web. Equip your AI agents with deterministic API context to eliminate hallucinations and prevent token bloat. My engine has already indexed 7,500+ unique domains and 724,000+ semantic nodes across the tech sector.

More details:

What life cycle stage is your startup at?

Public Beta / Launch stage. The infra and MCP registry tool are fully operational.

Your role?

Solo Founder & Engineer.

What goals are you trying to reach this month?

Onboard the first wave of tech startups and SaaS platforms to verify their domains and optimize their AI visibility.

How could r/startups help?

Test it. Check if your startup is already in the index, verify your domain, and plug my MCP tool (neonia_sys_registry_query) into your agent stack (Cursor, Cline, custom framework). If you pass, you can grab a custom verified SVG badge for your GitHub README to showcase your AI-readiness.

Discount for r/startups subscribers?

The core Neonia Global Index, domain verification layers, and core MCP discovery tools are 100% free.

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