Soloop - Approval-first Agent OS for solo founders

@wenhao_yu How do you stop approval from becoming a habit? A founder who approves everything is reading nothing.

@qf_meng Congrats on the launch team. How does the tool handle competing priorities between the various c level agents?

@rodrigo_baigorria Brilliant observation—you’ve hit on the exact friction point of approval-first systems.

As a CFO, I view attention as our most non-renewable capital asset, so micro-approvals defeat the purpose of leverage.
To answer your question: it widens. We don't view approval as a binary toggle, but as a dynamic "trust ladder." Reversible, low-stakes actions (like drafting or routine reporting) shift toward "execute and log," while high-stakes, irreversible actions (capital expenditure, publishing production code, launching ad spend) require hard sign-off. As confidence metrics grow, the threshold moves, keeping founder fatigue low without exposing the business to unbounded risk.

Love how you approached this!

@rodrigo_baigorria That’s a very sharp insight! Thank you for your time!!

In practice, we’ve found that many people want to do as little as possible at first. Watching the agents spring into action is almost a show in itself. For many people, that is the first aha moment. Decision quality takes much longer to judge, and many curious users move on before the results have time to show up.

So we’re still trying to find the balance between meaningful approvals and real autonomy. It feels a lot like the tradeoff between reaching more users and finding the right users. We don’t know the perfect line yet, so we’re testing it.

But from a growth and first-time experience perspective, you may be right. I’d love to compare notes again once we have more data.

@lavana_cricko We chose an "Approval-first" architecture. The AI agents handle the execution and handoffs, but they bring critical choices back to you. You supply the vision; they do the legwork.

@sophialgrowth Thank you! Same wishes for Toki — love seeing fellow AI productivity tools building better workflows for founders.

@sophialgrowth ❤

@daidoubledai As a solo founder, my next idea was actually to build a private app pretty similar to this one. I've looked into a few open-source projects, but I haven't been able to dig into any of them in enough depth to find something close to what I have in mind. Still, I think it could turn into something great over time.

@abod_rehman Thanks for checking out Soloop!
Very little on the technical side. Our goal is to make the path from idea to revenue accessible even if you’re starting from zero.

With the AI CTO, you only need to review a plain-English description of what the product should do and decide whether it matches what you want. You don’t need to read code or understand deployment. Once you approve it, the AI CTO turns that description into code, deploys it, and hands you a live product link.

@abod_rehman Honestly, as someone with zero technical background myself, this is exactly the question I ask our team every week.

You don't need to understand how it's built. You need to understand whether to keep going.

Here's what I've learned from approving tons of AI CTO output as a non-technical founder: most approval points aren't really about "how"—they're about "should we move on?" The AI already handled the how. The decision you're actually making is: does this direction feel right, or do we need to course-correct?

The hard part—and this is the real challenge, no sugarcoating it—is making that decision low-cost for the founder.

We're working on this in two ways:

First, we break approvals into the small steps a founder actually cares about, not engineering milestones. Instead of "approve the backend architecture," it's "this approach will get you to launch 2 weeks faster but limits what you can build in month 3—keep going?" Frame it as a trade-off a business person can reason about, not a tech spec.

Second, we lead with results, not process. I'm the kind of person who iterates by looking at outcomes and working backwards—"this landing page isn't converting, let's figure out why." The AI CTO should work the same way: show me what's working, what's not, and let me decide if we're on the right track. Don't make me read a PRD to give a yes/no.

Is this solved perfectly? Not yet. For a product where decision quality is everything for solo founders, this is the hardest UX problem we're working on. But we're iterating fast and I think we have something genuinely useful to show for it.

Happy to swap notes on this—Triforce's approach to task structure is really interesting from this angle.

@sylvialane Thank you so much!
We believe agents will keep learning every skill it takes to build a company, helping solo founders turn ideas into real traction without carrying every role alone 🚀

@sylvialane Totally get that constant role-switching whiplash—before Soloop I'd spend half my morning in Figma, half writing copy, and realize I hadn't actually moved anything forward by lunch.

The coordination piece is the secret sauce here. It's not just that you have AI doing each role—it's that they pass work between each other without you having to translate or re-explain.

On traction: we're focused on removing the operational friction between "I have an idea" and "I'm running experiments that tell me if it works." Faster iterations = faster learning = faster traction.

Would love to hear what your biggest bottleneck is right now going from idea to launch.

@sylvialane Here's a counterintuitive thing I learned from early-stage investing: the bottleneck for solo founders is almost never capability—it's allocation.

You can be great at product, engineering, and marketing individually. The problem is you can only do one at a time, and the cost of switching between them is brutal. Every hour you spend writing code is an hour you're not talking to users, and vice versa.

Our bet is that the biggest change AI brings to collaboration isn't better individual output—it's that human organizations shift from mostly serial to mostly parallel. One person can only do one thing at a time. An AI team can work on product, engineering, and marketing simultaneously, and you just steer.

@qiwap Thank you so much for taking the time to try Soloop and write all of this!
It honestly helps a lot. You pinpointed something that made sense in our heads, but wasn’t clear enough in the product.

Soloop is built around several agents working together to keep your company moving. The CEO is your home base. You talk through the direction there, and once it’s clear, the CEO turns that conversation into concrete tasks for the Analyst, CTO, and CMO. The Analyst researches the market and users, the CTO builds and ships, and the CMO finds users and gathers feedback. You review and approve each task before it runs.

If you’re ever unsure what to do next, just return to the CEO page and ask. When another role finishes a task or needs your approval, you’ll see a red dot next to that role in the left sidebar.

We really appreciate you calling this out. We’ll make the guidance simpler and clearer so the path forward feels obvious next time. Thank you so much!!🚀

@qiwap Great question, and honestly this is such useful feedback—thank you for taking the time to write this out.

You're totally right that the journey from "talking to an agent" to "shit gets built" isn't clear enough right now. We think about this a lot because one of the core problems we're solving is founders getting stuck mid-build and losing flow.

Here's how it actually works today:

Phase 1 — Refine the idea. This is where you are right now with the CEO agent. You're not just brainstorming—you're pressure-testing the idea until it's sharp enough to execute on. Two agents do most of the heavy lifting here:

• CEO agent breaks your idea down into concrete, actionable tasks and pushes on feasibility. It's the "okay, but how do we actually do this by Friday?" voice.

• Analyst agent is the outside perspective—competitive landscape, gaps you might be missing, opportunities you haven't spotted. The person who'd ask "why hasn't anyone done this yet?" in a good way.

Phase 2 — Actually build it. Once the idea is solid enough, that's where the handoffs happen. The CEO doesn't just keep talking—it kicks off work with CTO and CMO agents who take the plan and start executing. You're not manually switching between agents; the system moves the work forward and brings you back in when a decision is needed.

The feature that ties this all together is called "What's Next." Instead of you figuring out what to do with each agent, the AI proactively suggests the next step—who should work on what, what needs your approval, what's ready to move forward. You stay in flow, the AI handles the transitions.

That said, you're 100% right that we need to make this journey way more obvious from the start. New users shouldn't have to figure out the value—they should feel it within the first few minutes. We're actively working on making this clearer, and your feedback is exactly the kind of thing that helps.

Would love to hear more about what you expected to happen vs. what actually happened. Super useful for us.