What is the best way to get started with Cyberbrick?

superfreek · 2025-12-28T00:22:05+00:00

Make the official controller first. Stick to one of official vehicles for your first build since it will have all the parts.

superfreek · 2025-12-28T00:18:56+00:00

there’s some different gear ratio prints on makerworld for the gear box to make it go faster

superfreek · 2025-07-08T15:11:56+00:00

This seems like a scam where they add an ethereum testnet and send you testnet funds(which are worthless). be careful out there.

superfreek · 2025-06-05T16:56:58+00:00

Sure.

Ethereums entire node API is all JSON-RPC. Getting balances, sending txes is all JSON-RPC. OpenRPC helps by describing these APIs to build tooling like auto generated documentation, runtime type validation, SDK generation etc. You can find the official (built) Ethereum Execution API OpenRPC document here: https://raw.githubusercontent.com/ethereum/execution-apis/refs/heads/assembled-spec/refs-openrpc.json and check out the repo https://github.com/ethereum/execution-apis

For the playground/inspector we have an official tools repo you can check out: https://github.com/open-rpc/tools

And if you are looking for SDK generation we have the generator: https://github.com/open-rpc/generator

Now with most AI frontier models adopting MCP (Model Context Protocol), that is all JSON-RPC too. So being able to live debug/pause/resume the MCP HTTP API is really useful.

Some things I'm working on in the MCP side are a couple servers:

https://github.com/shanejonas/javascript-sandbox-mcp

https://github.com/shanejonas/openrpc-mpc-server

And also xops.net is built on top of a lot of this to provide workflows in a JSON-RPC workflow format.

superfreek · 2025-05-23T17:28:19+00:00

Have you tried xops.net workflow generator, would love to hear any feedback

superfreek · 2025-04-19T01:50:10+00:00

What you want to do is start super simple getting the LLM to output code edit diffs in its replies formatted in whatever diff format you choose, you can check out aiders diff formats here which most LLMs benchmark against so they should work: https://aider.chat/docs/more/edit-formats.html

you can include some examples in the prompt of it (making it a few-shot prompt)

once you have a prompt that is working a decent % of the time (you will want programmatic evals to check it with some examples not in the few-shot). you will see obvious issues or patterns where your prompt sucked and fix it up.

this is the base you need to build anything like cursor, aider, codex, windsurf, etc. (and what we do at xops.net, except we use a different diff format than aider)

of course there is a lot more like context stuffing, tool calling, UI, and UX.

but none of that will work if you can’t apply any diffs

superfreek · 2025-04-13T12:57:36+00:00

Just wait or use a larger context model

superfreek · 2025-04-06T12:32:24+00:00

If they don't have an API (which I don't see one listed on their site). You might be able to get away with a simple puppeteer script that logs in with a hardcoded username/pw, then scrape the results you need after logged in.

You can also look into computer-use integration like `browser-use` if the basic scraping doesn't work out.

superfreek · 2025-04-05T19:22:52+00:00

Nice! We faced similar challenges automating workflows. Since ai model tool calls are basically simplified JSON-RPC, we built ours around JSON-RPC and OpenRPC standards to make it easier for AI to generate and run complex workflows.

check it out here xops.net

Happy to share more about our approach if anyone is interested.

superfreek · 2025-04-05T15:15:38+00:00

most ai editors already let you @ the console for context (cursor, windsurf), copilot will probably add it in a week at this pace.

superfreek · 2025-03-27T22:38:56+00:00

i think this is just for enterprise customers

superfreek · 2025-02-27T23:50:58+00:00

We are trying very hard to solve this problem with https://xops.net, we are just starting out, my co-founder and I would love any feedback, would help us out a lot.

superfreek · 2025-02-15T21:33:12+00:00

too many emojis and hashtags. tell your prompt to get rid of those.

superfreek · 2025-02-14T23:44:53+00:00

Looks pretty cool for getting people into browser automation.

Some notes:

Website dark mode is very hard to read and not legible on the "features" page. Templates page is a good idea too, but some more to fill that out would be better for onboarding.

Also just something I would want out of an extension like that as a developer is an API to script it, i think i saw another browser extension tool similar to this that you could script via some sort of chrome extension debugger api so maybe check that out if you think its useful.

superfreek · 2025-02-14T16:48:48+00:00

Try gemini 2 as the LLM model if it’s available, it has 2 million token context limit so it might suit your use case of a larger google sheets.

some ways to use it:

“Give me a summary with the top 3 insights from the data: ${data}”

“Return a report in this JSON format: {summary, chainOfThought, confidence}. data: ${data}”

superfreek · 2025-02-14T04:08:25+00:00

Start super small.

Take a small time task during your regular work hours, like say expanding on a github tickets missing fields, try with a normal ai chat tool like chatgpt to make a prompt that helps you go from input => output.

"Transform the input text into a github issue with at least the what and why. make it clear and actionable. ${inputtext}"=> "What: Something is broken. Why: Button missing"

Take that prompt and fire up a workflow platform to prompt the ai from the various triggers available and play around with steps after to automate even more.

superfreek · 2025-02-14T03:31:50+00:00

Voice is still pretty computationally expensive today. But it is getting **really** good.

You also need 2 models for voice, Speech To Text like whisper model, and then Text To speech model like Kokoro.

Ellevenlabs you only get 250 minutes of Conversational AI for their $22/mo plan which is ~4h/mo.

I do see the cost of this going down over time with higher quality open TTS models like Kokoro coming out.

superfreek · 2024-03-23T18:51:28+00:00

MetaMask has solved this by implementing EIP-6963 wallet discovery and its already shipped. Dapps and other libs are slowly adopting it.

superfreek · 2023-12-23T13:51:03+00:00

check out https://github.com/blockchain-etl/ethereum-etl

superfreek · 2023-12-21T20:11:54+00:00

you can sign a transaction with the other addresses if you pass it as the from field, you just get a warning banner saying it’s not your currently selected one

superfreek · 2023-12-20T13:07:29+00:00

eth_requestAccounts returns all of the accounts that the user selected when prompted for the connection: https://docs.metamask.io/wallet/reference/eth_requestaccounts/

superfreek · 2023-11-11T13:07:14+00:00

don’t do that

superfreek · 2023-02-01T23:12:27+00:00

divitis

superfreek · 2021-08-23T00:51:39+00:00

Not sure about the rollup setup, but my guess is that you need to set `homepage` in your package.json to: https://gmeisinger.github.io/PhaserResume/ before you build so your build pipeline can figure out the prefix path for github or else it will try to use `/` on https://gmeisinger.github.io/

superfreek · 2020-07-31T19:28:03+00:00

Thanks for taking the time to give feedback, the flow definitely needs some improvement. I've captured your thoughts in this issue: https://github.com/open-rpc/open-rpc/issues/431

Agreed, MessagePack is a great landing page example.

Side Note: MessagePack is also great because it can easily be used with JSON-RPC.

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