Discussion
CubsFan1060: This feels like we're still on the march to the dead internet.What percentage of your interaction do you want/think is actually real people, and not just agents talking to other agents?
throwaway27448: Does it matter? Regardless of the answer, there's still less reason to be on the internet without compulsion than any time in the last 30 years
OsrsNeedsf2P: What's your MRR?
brunohaid: OK, the whats the endgame for flooding the zone with agent outputs question aside:The visualization of what the agents are up to in the "office" on the dashboard is incredibly cute.
soared: Has this generated any revenue?What’s the point of having 27 threads accounts, rather than 1 high quality one?Do none of these places care if they’re botted?So you made 4 agents, a website for a company that says the make agents - but what’s the product/service? Agent making?Website is AI slip - there is a specific style that Ai Studio uses and it’s exactly your website.
rappatic: I guess it shouldn’t be surprising for this post to be LLM-written when the author’s point is that they use LLMs to write a bunch of social media posts, but it still makes me a little sad.
hk1337: I’d be okay with it generating the posts and the reports of the financials and such but you need some human interaction in there.Generate the posts with AI so it can free up your time to interact with people replying to the post.Or write the bigger, longer, more content posts yourself with maybe some AI assistance in places here and there then use AI to create smaller posts from your larger posts. Still keeping with the human interaction with those that reply to the posts.
r0fl: The GitHub link in the post is 404
sheepscreek: This is a bit funny - I hope the repo is private and not hallucinated.
Western0: Why not local models? W H Y ?
ppcvote: A bit of context on why I built this:3 months ago I had zero experience with any of this — no AI development, no automation, no open source. I'm a solo founder in Taiwan where smartphone penetration is nearly universal but AI adoption in daily work is still very early.As I started building, I realized these tools can genuinely change how people work and live — not just for developers, but for small businesses and solo operators who don't have engineering teams. So I packaged what I learned into services and open-sourced the playbook.This is also my first time posting on HN. My English isn't strong enough to write essays natively, so I use AI to help with the writing — but the ideas and intent are mine. Seemed fitting given what I'm building.I'm not trying to sell anything here. I just want to show that you can run real operations with AI agents on zero budget, and I want to make these tools more accessible in my country.
jimmis: I thought so too... but if you refresh the page, it's just a pre-baked animation. A fun idea for somebody though; a little aquarium full of bots doing fake office tasks (I'm sure it's been done already).
ppcvote: The animations are CSS-driven, but the data behind them is real — agent heartbeats, task counts, and activity logs are pulled from actual systemd timer outputs. It's not a mock dashboard, though I'll admit the visual polish probably makes it look more "produced" than a typical monitoring tool.
ppcvote: My setup is WSL2 on a regular Windows machine — no GPU, so local inference would be painfully slow Gemini 2.5 Flash free tier is genuinely good enough — 1,500 req/day, I use ~105. Quality is solid for content generation and analysis tasks $0/month is hard to beat — I did accidentally rack up $127 when I used a billing-enabled API key (wrote a blog post about that lesson), but with free tier properly configured, it's been zero cost for months If I needed more throughput or privacy-sensitive processing, I'd consider local models. But for my current scale, free tier Gemini handles everything.
ppcvote: Thanks! The dashboard is one of my favorite parts of this project. It actually pulls real agent activity data — the visualizations are live, not pre-rendered. Working on making it a product: customizable agent dashboards for other teams running multi-agent setups.
TutleCpt: It sounds like a business that produces no valuable product and no real use. This is what the internet has become.
ppcvote: I understand the skepticism. To clarify what's actually shipped:MindThread: Threads automation SaaS with paying subscribers (only one in Taiwan using Meta's official API) UltraProbe: AI security scanner covering OWASP LLM Top 10 — free tool, used for lead gen Client projects: SaaS platforms, AI integrations, brand sites — real businesses using these daily The agents aren't the product — they're the operational layer that lets one person run all of this. Whether that's valuable is a fair debate, but the outputs are real products with real users.
ppcvote: I get why it reads that way, but this post was written by me. I actually spent more time on this Show HN than on most client deliverables this week. The irony isn't lost on me though — when you work with LLMs all day, your own writing starts picking up the patterns.FWIW, I'm a solo dev in Taiwan trying to make AI tools more accessible here. Mobile penetration is nearly universal but AI adoption is still very early. I'm learning as I build.
ppcvote: 100% agree. Content generation is where agents shine — it's repetitive and time-consuming. But genuine engagement is where trust gets built, and that needs to be real.My engagement scripts do auto-reply to comments on my own posts, but they're rate-limited and context-aware (max 2 rounds). For anything meaningful — client conversations, community discussions like this one — it's always me.
ppcvote: Good questions, happy to answer all of them:Revenue: Comes from client projects — I run a small tech agency (SaaS builds, AI integrations, brand websites). The agents handle lead gen and content so I can focus on delivery. MindThread (Threads automation SaaS) is also generating subscription revenue.Multiple accounts: MindThread is a legitimate SaaS product using Meta's official Threads API. Clients manage their own accounts through it. The agents post to my company's own accounts, not fake ones.Bot policies: We use official APIs only (Meta Threads API, Discord API). No scraping, no unofficial endpoints. Content is AI-assisted but goes through quality gates (generate → self-review → rewrite if score < 7/10).Actual product/service: ultralab.tw — 7 product lines including MindThread (Threads automation), UltraProbe (AI security scanner), SaaS development, and AI integration services.
evanelias: The comment you're replying to only asked a single question, which you actually failed to answer. And GP's comment was posted 5.5 hours earlier than your response (i.e. long after the HN edit window closed), so I doubt there were ever other questions there previously.Did your AI hallucinate the other questions? This is completely absurd.
ikidd: Where's the dashboard? I get a 404 when I go to the link in your blurb.
evanelias: > For anything meaningful — client conversations, community discussions like this one — it's always me.In a six-minute time period, you posted 10 different comments here, totaling nearly 800 words. I don't believe you are being truthful.
ppcvote: "Fair catch on both points. The batch of replies: I had a list of expected questions and drafted answers beforehand. When I finally had time to respond, I posted them all at once. Not real-time typing — that's why the timing looks suspicious. Should've spaced them out. On MRR: I dodged it. Honest answer — client project revenue is irregular (project-based, not subscription), so I don't track it as MRR. MindThread subscription revenue is early and small, I'm not comfortable putting a number on it publicly yet. What I can say: it covers my infra costs and Claude subscription with room left over. Not life-changing, but real
ppcvote: My monthly side income now covers 20x my Claude subscription plus a pork rice bowl with an extra egg — and it only took three months, without touching my main job hours. Honestly that's kind of insane, which is why I had to share this.
ppcvote: I want to address the skepticism directly. Yes, my English is poor. I write everything in Chinese first, then use AI to translate. Every word is mine — the ideas, the context, the intent. The AI is just the bridge. If that feels like cheating, I understand. But it's the only way I can participate in conversations like this one. On whether my products are useful: probably not to most people here. Taiwan has one of the most advanced tech industries in the world, but 80%+ of the population still doesn't use AI in their daily work — or only uses it as a chatbot. The market here is flooded with people selling AI courses and prompt-engineering services. I'm trying to do something different: actually build with it, open-source the playbook, and make real tools accessible to people who aren't engineers. I came to HN because I wanted real technical feedback — even brutal feedback. You can't get that in Taiwan right now. The criticism here is exactly what I was looking for. I'm a real person. These are real products. I'm just learning in public, one translation at a time.
veunes: "Fake it till you make it" in a nutshell. Half the AI wrappers on the market do the exact same thing: they render pretty activity charts that have absolutely zero correlation with actual VRAM consumption or server-side inference latency
veunes: Impressive numbers for a spam bot, but what's the point if the content is generated by an LLM and the comments are written by other agents? The internet is already turning into an endless feedback loop of generated garbage where the only goal is to scrape leads from other botsYou're spending 7% of your free tier limit just to keep an "audience" of 27 accounts on life support. The real question is: how many of those 12k followers actually convert to revenue instead of just sitting there as dead weight? If the ROI from these accounts doesn't even cover the engineering hours you spend babysitting those 62 scripts, this isn't a business, it's just a hobby
ppcvote: Fair challenge on the ROI question. Honest origin story: I work in financial services. Every day I need to post updates, share market info, and stay visible to clients — it's part of the job. I built MindThread because I was spending hours on scheduling tools with terrible UX instead of actually talking to people. I was my own first customer. After launching, I realized the same problem exists across Taiwan's financial and insurance industry — thousands of advisors doing the same manual posting grind every day. That's the real market. My view: social media time should be spent on actual conversations, not fighting bad interfaces. The agents handle the repetitive publishing. The human interaction stays human.
ppcvote: Guilty as charged on this one. The dashboard visuals are CSS animations — the data behind them isn't live yet. I've been trying to pipe real systemd logs into it but haven't cracked the architecture cleanly enough to ship it. It's on my list, just not done. Should've been clearer about that in the post. Thanks for pushing on it.
