I launched AgileTask 10 days ago. Zero followers, zero customers, zero social presence.

The gap you're describing between "agents handle execution" and "agents draft things a human still reviews" is something I've been experiencing firsthand. The quota limits are one thing, but the real cost is the cognitive overhead of checking whether the agent did something reasonable — which often takes almost as long as just doing it yourself for simple tasks. Where they've been most useful for me is monitoring and drafting (exactly like you said), not autonomous execution.

Your Google OAuth domain mismatch killing trust at the critical moment is an underrated insight. Those kinds of micro-trust signals are invisible during testing but brutal at the actual signup funnel. Curious — when you removed it entirely, did you switch to email/password only or magic links? The tradeoff between fewer auth options but higher trust per option is something I've been weighing too.

This is super real.
The “build first, fix later” part resonates a lot.

Love the transparency here Giuseppe. The agent limits you hit are exactly why human-in-the-loop still matters at early stage. Have you considered a VA to handle the execution layer — community engagement, outreach, trial follow-ups — while you stay in CEO mode? That's exactly what I do for founders. Happy to chat if it's useful

The 'IH drove more qualified traffic than anything else' observation keeps showing up across a lot of early-stage posts, and it makes sense: people here self-select for being builders curious about tools. The intent signal is already there.

The 'theory was solid, reality was messier' on the AI agent setup is the most honest thing in the post. Coordinated multi-agent systems look elegant on paper but the failure modes are subtle — agents doing their job in isolation while missing dependencies on each other's output. CEO-of-agents is a real role but a harder one than it looks from the outside.

Zero followers → qualified IH traffic → first customers is a clean path if you keep showing the real journey, including the messy parts. What's the biggest gap you've found between what an agent does and what you actually needed it to do?

Yeah, this is one of the most honest breakdowns of building with agents I’ve seen — especially the gap between what should work in theory vs what actually survives contact with real users. The fact that Sentry + direct user feedback became more valuable than the whole agent setup is really telling.

Also interesting how Indie Hackers ended up outperforming everything else — it keeps showing that early distribution is less about tools and more about being in the exact place where the problem already exists.

We’ve been seeing something similar — real signal almost always comes from small, uncomfortable interactions (bugs, complaints, unexpected usage), not dashboards.

Also sharing something I’m building in parallel — You have an idea. $19 puts it in a real competition. Winner gets a Tokyo trip (flights + hotel booked, minimum $500 guaranteed). Round just opened, so best odds right now: tokyolore.com

Gotcha bro,I actually spent time and money to "promote " my previous idea ,I went into a rabbit hole of spending hours to find the perfect thread and you know jump to promote my product but nothing clicked that's when I got the eureka server moment that everyone goes through this process so I actually built AXL where it finds cutomers talking about the exact problem your product solves.

Btw crazy work with agiletask ,really like what you have worked with.

If interested:-www.axl.onl

Would love to have a chat

Really honest breakdown, thanks for sharing. The "IH and Reddit move faster than X" point matches my experience exactly — with my indie app (a lightweight memo tool) I spent weeks posting on X and got almost nothing, but a single thoughtful IH comment thread sent more qualified traffic in a day than a month of tweets. The community here actually reads and replies, which makes the feedback loops tighter.

Curious about the agents: when they hit quota limits, are you considering swapping in cheaper models for the "monitoring" roles and reserving premium models only for customer-facing replies? That split has helped me a lot. Also — what channel are you betting on next for that first paying customer?

The agent observation is the most honest take I've seen on this. "Good for monitoring and drafting, not yet ready to run autonomously" — that gap between what agents can do in a demo and what they reliably do when handling edge cases at 3 AM with no supervision is where most of the current disillusionment sits. The failure mode isn't usually dramatic either, it's silent drift where the agent keeps "working" but quality degrades and you don't notice until a user tells you.

Removing Google OAuth entirely was the right call. Trust signals at signup are disproportionately impactful — users register the domain mismatch even if they can't articulate why it feels wrong. Much better to simplify the auth flow than to patch a trust leak.

The IH-over-X distribution finding matches what I've seen too. Broadcasting into the void on X gets impressions but not qualified traffic. Community engagement where people are already in a "learn and build" mindset converts much better for dev tools. Your 92 views from one post probably generated more meaningful interactions than weeks of X posting.

The Google OAuth scare screen on day 9 is rough.

10 days of posting on X for 2 followers tracks. What worked better for me was replying to other people's posts instead of broadcasting. Nobody follows a new account that's just talking to itself.

I looked at your site and here is my first impression. What your site can do that, for example, regular chat GPT or another AI chat cannot do? Why would I sign up for your site vs just use my AI account? Basically, how do you truly differentiate yourself from all competition - what are other unique features that you offer browsing user. Next, how do you target specific niche user who is interested in what YOUR product offers - in specific features of your product vs. other products? SO it looks like some marketing explanation on the web-site could help explain user what they can do better with your site than without it. Then, targeting. Small pool of users, specific features, could be just few of them 1-3 features, which offer distinct value to user. That's enough to start. Plus, think about it. You know your product well. Your customers do not. They see hundreds of apps. They do not have time to try everything. They browse. They skim. They move on. Unless they see some specific thing that catches their eye and tells them - let me try this. I know, it is easier said than done.

Absolutely! The first customer usually makes everything else fall into place! Congrats on the success and lessons 😊

You’re doing the hard part right shipping and learning in public.
Zero customers at this stage is normal, not a problem.
The focus now should be making the value obvious instantly.
If someone has to think too much, they leave.
A quick demo that shows the problem → solution → outcome can boost conversions a lot
I’d be glad to help

Great insight, this really resonates.

How are you handling user messages / feedback so far?

I’m also early and even with low volume it already feels a bit messy between emails and random messages.

Trying to keep things simple without overengineering it.