Launching today

NotientAI
AI social proof popups that adapt to every visitor
15 followers
AI social proof popups that adapt to every visitor
15 followers
AI social proof popups that adapt to every visitor's location automatically. Mumbai visitor sees "Priya from Delhi just purchased." Austin visitor sees "James from Texas just signed up." Same widget. Zero manual work. AI writes popup copy from your URL Names adapt to visitor location Spin wheel, coupons, quiz widgets Analytics and weekly AI insights Any website. 60 second setup. 7-day free trial from $9/mo.









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@sanjux97 Smart wedge — generic "Peter from New York just bought" popups read as fake the moment a Mumbai or London visitor sees them, so making the social proof adapt to each visitor's location is a genuinely good fix. Writing the copy from the site URL removes the blank-box friction too. Launch tip: a short video on the page tends to convert better than screenshots, so I made you one from your own site:
Save it and add it to your launch if you like. It came from FoxPlug (https://foxplug.com), which turns your real build and launch activity into narrated videos and ready-to-post updates. Hope the launch goes brilliantly.
@saulfleischman This is incredibly thoughtful,
Thank you for taking the time to make this! You nailed exactly the core insight: generic popups break the illusion the moment a visitor sees a name that feels foreign to them.
That's the problem we built NotientAI to solve. The video is great. Really appreciate the launch day support 🙏
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@sanjux97 Glad to help any, note that your launch page is editable, you can use the video in your ovrview's media. Lauches with a video tend to scor bette, I have found. Really love the adapting for each visitor, btw!
The generic "Peter from New York" problem is one of those things that becomes obvious the second someone names it, and stays invisible until they do. I've watched dozens of DTC brand websites and none of the social proof felt regionally believable, Mumbai visitors were getting Ohio names, London visitors getting Texas cities. Once you notice it, you can't unsee it.
The location-adaptation is the fix, but I'd push further on relevance. Beyond just location, there's a "person like me" signal that goes deeper than country match. A 24-year-old scrolling a hair serum ad feels closer to "Aisha, 26, just purchased" than "James, 52, just purchased", even if both are geographically local. Is there a path to demographic hints from the visitor context (session behavior, referrer, page), or is that a can-of-worms you're intentionally staying out of?
Also respect for naming the Stripe/Paddle rejection in a launch post. That's the kind of honest founder detail that makes a launch feel like a launch rather than a marketing exercise.
@elias_motionfy Really appreciate this comment.
You're exactly right that "Peter from New York" problem is one of those things that's easy to ignore until you see it everywhere. Once we noticed it, we couldn't unsee it either, which is what pushed us to build location aware social proof.
The "person like me" idea is something we've talked about internally as well. It's definitely an interesting direction but we also want to be careful not to cross the line into making visitors feel like they're being profiled. Right now we're intentionally keeping personalization lightweight (location, context and page relevance) while respecting privacy.
As for the Stripe/Paddle story, thanks for noticing that too. It wasn't the most fun part of the journey but I figured sharing the real challenges would be more valuable than pretending everything went perfectly.
Really appreciate you taking the time to leave such thoughtful feedback. 🙌
@sanjux97 The privacy line is the right one to hold. "Person like me" done wrong crosses into profiling territory fast, and once users feel that shift the trust goes negative, the exact opposite of what social proof is supposed to do. Lightweight and honest beats invasive and clever every time.
The Stripe/Paddle transparency lands because it's specific. Vague "we had struggles" launch posts are marketing; naming the exact providers and rejections makes it read as real. The Indian founder audience specifically will find that thread useful, it's a common wall and nobody talks about it openly.
Good luck with the launch. Rooting for it.
@elias_motionfy Thank you that means a lot.
I completely agree. Once personalization starts feeling like profiling, it stops building trust and starts doing the opposite. We'd rather keep things simple, relevant and privacy friendly.
And I'm glad the Stripe/Paddle story resonated. I almost didn't include it but I figured sharing the real challenges is more useful than only talking about the wins.
Really appreciate the thoughtful discussion and the support. 🙌
Hello Inbox
Congrats on the launch @sanjux97
Does it integrate with payment providers to show real user names of the person who just signed up or is it randomly generated?
@ismaelyws Thank you! 🙌
At the moment, the names and locations are AI generated based on the visitor's region to create a localized, privacy friendly experience rather than exposing real customer information.
We intentionally don't display actual customer identities by default, as many businesses prefer not to share personally identifiable information.
That said, we're actively working on more data source integrations so businesses can choose how they want to power their notifications while staying compliant with privacy expectations.
Appreciate the question!
The location swap actually fooled my coworker, he thought real customers were rolling in. Setup took maybe a minute.Tested with a VPN bouncing between regions, the names swapped cities instantly, kind of eerie in a cool way. Setup was genuinely under a minute.The location-based name swaps caught me off guard, my colleague in another country saw a totally different popup with the right city. Painless to set up.
@hediyema5k Thanks! Just curious did you get a chance to try NotientAI or are you referring to the concept? I'd love to hear more about your experience.
How does the AI actually verify those purchases happened though, or is it just generating plausible-looking notifications?