
Opinix
OPINIX is a platform that connects businesses, researchers,
We ended yesterday at 17 users.
The interesting part isn't really the number.
It's everything we've had to fix behind it.
One major lesson has been that getting people to sign up is only the beginning. The earning loop has to work too.
We're currently improving the task system so participants can:
Find task → complete task → submit proof → get reviewed → receive reward
We're also expanding our community layer through WhatsApp, Telegram and Discord.
I'm now testing a mix of acquisition channels instead of relying on one:
X, LinkedIn, Reddit, Quora, Facebook, Indie Hackers, Instagram, TikTok and YouTube.
17 → 100 is the current goal.
For other makers: what was the first acquisition channel that gave you users who actually came back?
I missed yesterday's update, but I spent the time working on something more important.
Our first 14 users exposed a problem: third-party surveys were frequently disqualifying them.
So instead of trying to force growth, I'm testing a different approach with Opinix Tasks.
The flow is:
Start task → complete task → submit proof → admin review → earn
I'm also making approved tasks disappear for that participant, while declined or expired tasks can be attempted again.
The goal now is to get the first complete, successful task loop working and measure:
completion rate → approval rate → reward → return visit
The 14 users are becoming our test group before we push toward 100.
What would you measure first in this kind of task/reward loop?
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3 Comments
3 Comments
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The 14 users have already exposed a meaningful bottleneck, so the shift from acquisition to loop quality makes sense. The key signal seems to be what happens after fixing qualification: do completion and return rates actually improve, or is another part of the task loop now limiting participation?
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Hi,
Thanks for taking the time to look into Opinix. I agree that the Web3/project-community angle is an interesting acquisition channel, especially because a single project could potentially bring an entire existing community onto the platform.
Right now, our acquisition approach is still fairly early. We’ve been testing direct social/content acquisition while improving the participant side of the platform and making sure the earning loop works properly.
We’re also starting to focus more on task-based earning opportunities rather than trying to grow both sides of the marketplace aggressively at the same time.
Your point about targeting Web3 projects and their communities is definitely something I’m interested in exploring further.
Best,
Daniel
Founder, Opinix-
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The shift toward task-based earning is the interesting part. If you’re open to it, what’s the best email to reach you on?
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I'm currently building Opinix, a survey rewards platform.
We reached 14 users, but we've now had three consecutive days with zero new users.
Instead of simply increasing marketing, I looked at what was happening with the users we already had.
We found that our early users were being disqualified from the available third-party surveys.
That means the problem isn't just acquisition.
If people can't consistently complete surveys and earn, bringing in more users just fills a leaky bucket.
So I'm testing Opinix-owned surveys next.
The experiment is simple:
Third-party inventory → disqualification
vs.
Opinix-owned surveys → completion → reward → return usage
I'll share what happens.
I'd also love to hear from other founders: what was the first thing you changed when you realized your acquisition funnel was actually being affected by the product itself?
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I'm building Opinix, a survey rewards platform.
We're currently at 14 users.
The interesting part?
We added 11 users on the first day, then growth almost completely stopped.
We've had two consecutive days with 0 new users.
I'm now testing different acquisition channels and trying to understand why people don't move from seeing the product to actually signing up.
I'm also working on a bigger problem: third-party survey disqualifications.
I'm exploring building Opinix-owned surveys so users can have a more consistent earning experience.
For anyone who's built a consumer product:
What was the biggest change that finally made your early user acquisition start working?
I'd genuinely appreciate any advice.
2 Likes
5 Comments
5 Comments
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The 11 users on day one followed by zero-growth days makes the funnel interesting. Do the existing users stay active when surveys are available, or are disqualifications already causing enough drop-off that acquisition would mostly refill a leaky bucket?
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That's actually the clearest signal we've gotten so far.
We checked our early users, and all of them have been disqualified from the available third-party surveys.
So the leaky bucket is definitely on the survey side right now: users sign up, try to participate, get disqualified, and have no reason to keep coming back because they haven't been able to earn.
That's why I'm now testing Opinix-owned surveys. I want to see whether giving users surveys we control — where they can actually complete the survey and receive a reward — changes engagement and retention.
So our next experiment is essentially:
Third-party surveys → high disqualification → poor activation
versus
Opinix-owned surveys → completion → reward → return usage
It's still very early, but that finding has made the next product direction much clearer.
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That’s a much clearer diagnosis. I’d be interested in seeing whether the owned-survey test changes retention. If you’re open to it, what’s the best email to reach you on?
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Absolutely — you can reach me at oyigeyadan@gmail
That's my personal email, and I'm the founder of Opinix.
We're still very early, but I'd be happy to keep you updated on whether the Opinix-owned survey experiment improves retention and engagement.
Thanks for following the journey!
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Thanks! I’ve just sent it over.
Looking forward to hearing your thoughts whenever you have a chance.
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About
I belive in 50 50 splt for me and the community and also an eaiser way for users to eanr from companies


1 Comment
17 users is less important than whether the loop works. After the task-system fixes, are completion and return rates improving, or is another step still breaking the cycle?