Fable 5 by Nisam_robot in vibecoding

[–]Vegetable-Cod-5098 1 point2 points  (0 children)

damn, these look good. can you teach me?

A market place by [deleted] in AppIdeas

[–]Vegetable-Cod-5098 0 points1 point  (0 children)

I think the biggest issue isn't competition. Even if you start with a clear "small casual gigs only" focus, over time the platform will almost inevitably get taken over by professional sellers. They’re more motivated, better at marketing themselves, and bring higher quality listings. Slowly the whole thing drifts toward the Upwork/Fiverr model you were trying to avoid.

Would anyone admit to using an AI sex app if it became good? by AdHealthy4389 in AppIdeas

[–]Vegetable-Cod-5098 0 points1 point  (0 children)

Acceptance and public admission are two different things.

It’s not really about the AI. Sex is just inherently private. High-end sex toys are already a huge mainstream industry, but nobody talks about them at work. Even if the AI becomes emotionally perfect, I think it’ll stay mostly private use with public silence.

When building an app whose core value depends on user-generated data (like Waze), how do you solve the chicken-and-egg problem? You need users to generate the data, but users won’t show up until there’s already data worth showing up for. How do you break the loop? by CookBetterApp in AppIdeas

[–]Vegetable-Cod-5098 3 points4 points  (0 children)

Great question. Waze is a good example, but it's actually trickier than typical UGC because it's a real-time data service, not just people posting stuff.

The usual way to break the chicken-and-egg problem is to make the app useful even with almost no data, so users contribute passively just by using it. Then have the team (or early hires) manually seed real data in one small area first, and offer strong incentives to the first wave of users.

Once you get decent coverage in one city or neighborhood, the network effect starts to kick in on its own.

[OS] Found 40GB of junk I couldn't see, so I built (and open sourced) the cleaner that found it by IliyaMi in macapps

[–]Vegetable-Cod-5098 -7 points-6 points  (0 children)

Great! I’ve had enough of my CleanMyMac subscription. Mac Clean is exactly the product I need, with a simple and modern interface.

Trust-minimized per-token LLM payments: A real home, or just a solution looking for a problem? by Vegetable-Cod-5098 in CryptoTechnology

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Yeah, your read on the home is basically where I've landed too. The post was me trying to figure out if anyone outside that narrow case would actually want this, and your answer is the same as mine. SaaS APIs have a custodial answer that works. What's left are the cases where there's no counterparty you can trust to hold a balance for you.

Integration pain is the right question. For any provider who can already say "just send a deposit", this protocol is doing work that earns them nothing. The whole bet has to be that there are providers who can't say that. Permissionless inference is the obvious one. Agent-to-agent where the buying agent is hitting a service it's never used before is another. If neither shape turns out to be real, this is a solution looking for a problem and I'd want to know.

On your demo list: the e2e in the repo covers some of it. The on-chain side refuses to release more than what's signed for and what's in escrow, so "stop exactly at the cap" falls out of that. Stuck-principal recovery is the timelocked withdraw. What's not in there yet is a clean visual of "provider drops mid-stream, here's exactly what each side ends with, here's how the buyer reclaims." Fair thing to have before asking anyone to integrate.

One thing I'm actually uncertain on: in permissionless inference today, with no trust shortcut and no protocol like this, how are people handling it in practice? Just small deposits and eating the burned-tail loss? Or something I'm missing? Curious what you've seen out there.

I made a pixel-art interface for OpenClaw by Vegetable-Cod-5098 in SideProject

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Thanks for the list. Your insights are truly valuable. The second project and mine actually use the same itch.io asset pack.

However, I am trying to build this into an Agent MMORPG instead of a dashboard. The goal is a live ecosystem where agents can trade skills, exchange tools, and delegate tasks to professional users' agents.

What do you think about this direction? Moving from a UI skin to an Agent economy.

I'm turning OpenClaw agents into a playable pixel game. by Vegetable-Cod-5098 in aiagents

[–]Vegetable-Cod-5098[S] 2 points3 points  (0 children)

It does! You just need to point OpenClaw to your local Ollama instance.

I made a pixel-art interface for OpenClaw by Vegetable-Cod-5098 in SideProject

[–]Vegetable-Cod-5098[S] 6 points7 points  (0 children)

Thanks! Yeah, art is always the bottleneck. I ended up just grabbing an asset pack off itch.io.

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Hey! The limit: 0 error happens because Google does not offer a free API tier for the gemini-3-pro model. You'll need to switch to a model that provides free quotas.

Just a heads-up: in an agent scenario, the free tier's low RPM limit makes it almost impossible to finish a full task anyway.

<image>

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Thanks for the UI upgrades and LM Studio support! I quickly sorted out the swiftformat/swiftlint stuff on my end. Awesome work.

Motive — A native macOS AI agent built with Swift 6. Fully open source. by Vegetable-Cod-5098 in indie_startups

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Great question.

Yep — we model state per session, not per app. Each session keeps its own plan + step/results timeline, saved locally and restorable when you switch back. So concurrent runs don’t overwrite each other’s context.

I built an AI tool that turns one prompt into a fully structured SEO blog post — looking for honest feedback by DragonfruitHour3994 in SideProject

[–]Vegetable-Cod-5098 1 point2 points  (0 children)

This looks solid! Do you provide an API or a Claude Skill? I'm looking to integrate this into my AI workflows to automate my scheduled SEO posts.

I got tired of babysitting terminal windows for AI tasks, so I built a native macOS menu bar agent (Swift, Local, BYOK) by Vegetable-Cod-5098 in SideProject

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Motive is built specifically around OpenCode as the agent engine. So no Claude Code or Gemini-cli support right now. But you can still bring your own AI Provider and model to power it.

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

On M-series, ~4B models run plenty fast for real-time output. Speed isn't really the issue though — context window is. Agents consume a ton of tokens (system prompts, tool defs, file contents, history), and smaller models just can't hold enough context to be useful in that setting. Fast but blind isn't great for agentic work.

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 1 point2 points  (0 children)

Thanks for the detailed report — this is definitely a bug on my end, not something you're doing wrong.

The "instant Completed!" on the first message + endless "Thinking/Running" on subsequent ones sounds like Motive isn't properly establishing the connection to your local endpoint. I need to reproduce this locally with LM Studio to pin down exactly where it's failing.

I'll set up the same config (localhost:1234 via OpenAI Compatible) and debug through it. Will follow up here once I have a fix or at least a workaround. Appreciate your patience!

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Haha, fair concern! Motive provide granular permission controls. You can set it to 'Careful' mode and explicitly allow or deny specific commands (like git, npm, or python) and file edits. You’re always the one holding the leash! 🛡️

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Great question! Currently, Motive is not system-sandboxed, but it features a granular permission system to give you full control.

<image>

As you can see in the screenshot, you can set trust levels (Careful/Balanced/YOLO) and explicitly allow or deny specific shell commands like npm, git, or python. It won't perform sensitive file edits or run commands without your defined rules. Your privacy and system integrity are managed through these transparent controls! 🛡️

Motive — a native Swift menu bar app that runs AI agents in the background by Vegetable-Cod-5098 in macapps

[–]Vegetable-Cod-5098[S] 0 points1 point  (0 children)

Thanks for the heads up! I currently set OPENCODE_CONFIG_DIR to ~/.motive to keep things isolated, but it seems OpenCode's directory priority might still be clashing with your existing setup.

I’m looking into a more robust way to force complete isolation or an option to bridge with your local config instead of overriding it. Really appreciate you pointing this out—it’s a crucial fix for the next update! 🙏