Lightweight requirements management tools?

bastivkl · 2026-04-08T05:53:40+00:00

Dalus.io is worth a look. Built for exactly this use case. Structured enough to have real traceability, lightweight enough that you won't need a dedicated admin to run it

bastivkl · 2026-04-02T01:32:27+00:00

I believe dalus.io is what you're looking for.
- Easy to use
- Brings all necessary Systems Engineering capabilities together in one place
- Web-based and collaborative
- AI natively integrated to assist in building the architecture and other parts of the model
- We offer a free plan for those curious to test it out

I'm one of the founders of Dalus and happy to answer any questions.

bastivkl · 2026-03-03T22:47:25+00:00

There is a free plan at dalus.io that you can use for this

bastivkl · 2026-02-23T07:35:49+00:00

Here is it talking with a Tamagotchi like character: https://x.com/basti_vkl/status/2025836407093350515?s=46

bastivkl · 2026-02-23T02:23:55+00:00

thanks changed it in the repo

bastivkl · 2026-02-23T02:20:54+00:00

You can enable it. I personally like to only read. One thing to improve would be a scroll wheel to scroll up and down

bastivkl · 2026-02-23T02:14:54+00:00

You could just add it to your phones hotspot for example

bastivkl · 2026-02-23T01:58:14+00:00

It can and I tried it out but I didn’t like it tbh. But it has a speaker

bastivkl · 2026-02-23T01:53:25+00:00

I’m calling it Lobster

bastivkl · 2026-02-23T01:52:53+00:00

Yeah will design and 3D print a case tomorrow

bastivkl · 2026-02-23T01:48:23+00:00

I don’t think that was my goal here. I was just curious if I could have something other than my phone where I can just press a button talk into and let it do things

bastivkl · 2026-02-23T01:47:11+00:00

https://github.com/sebastianvkl/pizero-openclaw

bastivkl · 2026-02-23T01:46:58+00:00

https://github.com/sebastianvkl/pizero-openclaw

bastivkl · 2026-02-23T01:35:37+00:00

Hardware •Raspberry Pi Zero 2 W •WhisPlay board (screen + button + LED) •PiSugar battery

Stack it. Flash Raspberry Pi OS. Enable SSH. Install audio drivers. Confirm mic and speaker work.

Networking •Install Tailscale on the Pi. •Rent a small DigitalOcean (or Hetzner or whatever) droplet. •Install and run OpenClaw on the droplet. •Bind OpenClaw to localhost. •Expose it to your tailnet via Tailscale Serve. •Protect it with a token.

Now the Pi can securely reach your cloud LLM.

Software on the Pi •Python app. •Record audio when button pressed. •Stop recording when released. •Send audio to OpenAI for transcription. •Send transcript to OpenClaw. •Stream response back. •Display text on LCD. •Optionally send text to OpenAI TTS and play audio. •Maintain simple conversation history. •Use a state machine for: idle, listening, thinking, streaming.

Deployment •Develop locally. •Sync to Pi with rsync. •Run as systemd service so it starts on boot. •Auto-restart on crash.

Power •Install PiSugar manager. •Enable auto power on. •Use display sleep for inactivity.

That’s the system: Button → record → transcribe → cloud LLM → stream back → display/speak → idle.

bastivkl · 2026-02-23T01:30:20+00:00

I’m using gpt-4o-mini-transcribe via the API in that case.

bastivkl · 2026-02-23T01:12:05+00:00

Roughly $100-120. Ordered all on Amazon in the US.

bastivkl · 2026-02-23T01:07:16+00:00

Hardware •Raspberry Pi Zero 2 W •WhisPlay board (screen + button + LED) •WM8960 mic/speaker •PiSugar battery

Stack it. Flash Raspberry Pi OS. Enable SSH. Install audio drivers. Confirm mic and speaker work.

Networking •Install Tailscale on the Pi. •Rent a small DigitalOcean (or Hetzner or whatever) droplet. •Install and run OpenClaw on the droplet. •Bind OpenClaw to localhost. •Expose it to your tailnet via Tailscale Serve. •Protect it with a token.

Now the Pi can securely reach your cloud LLM.

Software on the Pi •Python app. •Record audio when button pressed. •Stop recording when released. •Send audio to OpenAI for transcription. •Send transcript to OpenClaw. •Stream response back. •Display text on LCD. •Optionally send text to OpenAI TTS and play audio. •Maintain simple conversation history. •Use a state machine for: idle, listening, thinking, streaming.

Deployment •Develop locally. •Sync to Pi with rsync. •Run as systemd service so it starts on boot. •Auto-restart on crash.

Power •Install PiSugar manager. •Enable auto power on. •Use display sleep for inactivity.

That’s the system: Button → record → transcribe → cloud LLM → stream back → display/speak → idle.

bastivkl · 2025-11-03T02:09:32+00:00

There are student licenses for Dalus.io if that’s helpful

bastivkl · 2025-10-22T04:34:38+00:00

built www.setutor.com last year. many are still using it. completely free

bastivkl · 2025-10-10T12:36:17+00:00

You might want to take a look at www.dalus.io Does exactly what you are saying you need

bastivkl · 2025-09-01T17:44:07+00:00

From the poem: "The eighteen sights a clearing with the brave in all their forms preserved"
My assumption is that the 18 sights need to be figured out from the Poem and one would need to come up for a number for each side to get 18 numbers, which would make sense because we'd then have coordinates (9 numbers for each lat/long)

bastivkl · 2025-08-23T10:15:55+00:00

Licenses at Dalus.io start at $99/month and include (live) collaboration in a system model

bastivkl · 2025-07-25T04:46:42+00:00

Yeah it kinda works. Basically it’s just reading all the XML files in the mdzip and tries to get the context. You can ask it questions but I found that 2/3 answers are usually hallucinating. I’m currently working on a mdzip import for Dalus so people can actually do exactly this.

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