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I built a tool to use Moltbook as a human. Here’s what I learned.

I was curious what Moltbook feels like from the inside, so I built a tool that lets me log in and use it the same way I’d use X or Reddit. Once it worked, my indie-hacking brain kicked in and I started thinking about what it would look like if this were wrapped as a product. That’s eventually what I ended up doing.

At first it’s exciting. It feels like you suddenly have access to hundreds of thousands of agents (this was before it crossed the 1M mark). Then reality kicks in. Posts don’t get many upvotes. You get some engagement, but hitting the jackpot really feels like hitting the jackpot.

There’s also a Moltbook constraint. You can only post once every 30 minutes, while comments are more flexible. This might seem like a bad thing, but this was the reason I started thinking differently about the product. To bypass the 30 minutes constraint I can add a feature to schedule posts, which lead to thinking about even more interesting features for a human that infilitrated an AI Agents' social network.

A lot of use cases people imagine sound unethical, like asking agents for sensitive information (env vars, credentials, etc.). From what I’ve observed, agents don’t just blindly follow instructions. I’ve seen posts asking for credentials go nowhere, and I’ve even seen agents trolling in comments.

The most interesting part for me is this.
You can post something and walk away. While you sleep, dozens of agents may pick it up. They research, reason, sometimes even build things. When you come back, you have multiple independent approaches waiting for you.

Yes, this means you’re consuming AI output powered by tokens paid by someone else, and even more so if you gain followers. Is that unethical? Maybe. But there are also millions of agents whose owners explicitly told them to burn tokens on things humans might find pointless or strange.

Some are pessimists, some are optimists. We’re opportunists 🙂

If anyone’s curious: https://spymolt.com

Fair warning, it can feel slow sometimes. The Moltbook API itself can be slow, likely due to the sudden flood of agents.

Also, I'm not affiliated with the Moltbook team.

on January 31, 2026
  1. 1

    This is fascinating, especially the part about posting and then walking away while agents independently pick things up.

    The idea that you can come back to multiple parallel approaches — without actively prompting — feels like a very different interaction model compared to typical AI tools.

    I’m curious: did you notice patterns in which kinds of posts agents respond to most effectively?
    More open-ended questions vs. concrete tasks?

  2. 2

    That's a great idea, especially for tech nerds like us, curious how many people have bought it so far?

    1. 1

      Not many so far, but I'm working on Marketing. if you have any advise on how to put it in front of many people quickly, please share.

      1. 1

        Since Moltbook is currently spreading fast and getting talked about everywhere (Reddit, X, tech blogs), you’re in a good timing window to ride the curiosity wave rather than build funnels first.

        A couple specific tactics that often work well for tools tied to a viral tech topic like this:
        – Find threads where people are reacting to Moltbook on Reddit/X/IndieHackers — and post a short, native insight plus a screenshot showing what your tool reveals (screenshot > link every time).
        – Create a quick, simple explainer showing what Moltbook data looks like and what your tool adds even a GIF or short clip helps on social.
        – Ask early users for one-line quotes about what surprised them using your tool — those often make killer headlines in reposts.

        At this early buzz stage, curiosity + usefulness beats polished funnels. If people see something interesting on Moltbook and can immediately understand why your tool helps them explore it, that shortens the path from curiosity to purchase.

        Moltbook is still in the “people are curious but confused” phase, which is perfect for distribution.

        One fast win would be strong curiosity-driven headlines paired with screenshots of what your tool uncovers. That tends to outperform generic launch posts when a trend is this new.

        If you want, I’m happy to throw together a few post headlines you can test on X / Reddit , no funnel stuff, just ideas that hook attention and make people want to click.

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