From $0 to first feedback: How I fixed my launch mistakes and built a social proof wall in 24h
Hey Indie Hackers,
I launched AIO Checker a few days ago – a tool that audits websites for AI visibility (ChatGPT, Claude, Perplexity, etc.). My first "launch" was on Hacker News. Got ~100 visits, $0 revenue.
The problem?
I was giving away the entire solution for free. My initial UI showed all the recommendations and code snippets right there in the network tab and on the screen. No reason to pay.
So I did a hard pivot in 24 hours:
Strict Paywall + Blur – Now the detailed fixes are blurred until payment or unlock.
Feedback‑for‑Unlock – The first 20 users can unlock the full report by leaving a genuine review. This gives me social proof and them a free report.
Social Proof Wall – Live on the homepage, showing real feedback from early users (already got the first one!).
Result so far:
First feedback received and displayed ✅
Site feels way more trustworthy
Learned that traffic ≠ revenue – you need to gate value correctly
Why this approach?
Free users get value (score + basic metrics), power users pay for deep insights and copy‑paste code snippets.
The 20 free slots create urgency and bootstrap testimonials.
The social proof wall builds credibility for future visitors.
What I'm still figuring out:
How to get that first organic paying customer.
Whether the $4.99 price is too low/high for impulse buys.
How to reach more site owners (not just makers).
I'd love your feedback:
Does the new flow make you want to try it?
Any suggestions to improve conversion or the unlock mechanism?
What's your experience with launching and pivoting quickly?
Check it out: https://aiochecker.vercel.app
Thanks for reading! 🙏
#buildinpublic #microsaas #ai #seo
This is a great post because early feedback is such a hard step for most founders.
I also think social proof (even small proof) can change how people respond to a new product.
What was the single launch mistake that hurt the most at first — and what change fixed it fastest?
hope it works out well for you congratulations
The $0 → first feedback transition is the hardest part, and you nailed the frame: it's not a revenue problem, it's an evidence problem. Nobody wants to be first.
Question for you: what was the actual "launch mistake" you fixed in those 24 hours? You mention you fixed it but I couldn't tell from the post whether it was a positioning change, a pricing change, a CTA change, or something else entirely.
I'm in the same position right now — 7 Gumroad products live, $0, trying to figure out which of those levers is actually broken. The social proof wall idea is smart because it lowers the trust barrier without changing the price. Did you find that even a few testimonials from free/beta users moved the needle?
Also: the AI visibility angle is clever. Most SEO content is still written for Google, not for how Claude/ChatGPT actually surface recommendations. That's a real gap.
You nailed it—it’s an evidence problem.
The 'launch mistake' was zero friction. I gave the full actionable audit (the actual code fixes) right on the screen. There was no reason to pay. The fix was blurring the details and adding the feedback-for-unlock loop. It forced engagement and built the social proof wall instantly.
Regarding your 7 Gumroad products: traffic without sales usually means a trust or perceived value gap. Have you tried a similar 'pay with a review' beta phase for one of them? Happy to take a look at your links if you want a second pair of eyes.
the feedback-for-unlock mechanic is smart. youre essentially paying for testimonials with product access instead of cash, which bootstraps social proof and gives you real user data at the same time.
the 100 visits $0 revenue learning is one everyone needs to internalize. had the same experience - gave away too much for free on my AI video tools early on. the fix wasnt just adding a paywall though, it was understanding which specific piece of output users would pay for. in your case thats the actionable fix list, not the score itself.
one thing to watch: the 20 free slots create urgency but also cap your testimonial collection. consider keeping that loop open longer - every new testimonial compounds your conversion rate.
That’s a brilliant point on the compounding effect of testimonials. I initially capped it at 20 just to force some early urgency, but you're absolutely right—capping the social proof is counterproductive in the long run. I'm going to leave that loop open or create a hybrid tier for it.
Glad to hear I wasn't the only one making the 'give it all away for free' mistake early on. Did you end up gating specific features on your AI video tool, or just the final output?
This comment was deleted 6 months ago
Love this — most founders underestimate how powerful early social proof is.
Building a public feedback loop in 24h is a smart move.
Curious — did showcasing the feedback immediately change conversions or just engagement at first?