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Show HN: TickClip – An AI shopping agent that can recommend not buying

tickclip.ai

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Show HN: TickClip – An AI shopping agent that can recommend not buying

#1
My name is Tarik Aarbaoui, I am an affiliate and influencer marketing specialist. For the last 14 years I’ve worked to grow revenue while trying to meet shoppers’ expectations.

But during my time there, I observed a core conflict: shoppers often look to influencers and affiliate content to help them decide what to buy, but the people making those recommendations are usually only compensated when a purchase happens. Usually this means that the incentive is to encourage the sale, even when waiting or not buying might be better for the shopper.

That insight is what inspired me to build TickClip. It uses a simple three-outcome decision model for online shopping: Tick to buy, Clip to wait or reconsider, Skip to avoid.

The point is to build a fiduciary decision layer that views purchases from the buyer’s viewpoint, not optimizing for conversion.

I'd love feedback on the decision model, how clear the verdicts are, and what evidence you'd need to see to trust a system like this.

Show HN: TickClip – An AI shopping agent that can recommend not buying
tickclip.ai

Re: Show HN: TickClip – An AI shopping agent that can recommend not buying

#2
Your website claims not to carry affiliate tags but /verdict/ definitely does so your FAQ claims seem false.

Some prices are shown as "0$" which is obviously a bug.

Seems to me that your decision model is basically "look at camelcamelcamel's slope for the item", which is a decent idea (I do this myself).

Re: Show HN: TickClip – An AI shopping agent that can recommend not buying

#3

Your website claims not to carry affiliate tags but /verdict/ definitely does so your FAQ claims seem false. Some prices are shown as "0$" which is obviously a bug. Seems to me that your decision model is basically "look at camelcamelcamel's slope for the item", which is a decent idea (I do this myself).

The model and concept is so strong and we are at the launch stage and surely will fix these bugs and inconsistencies but we assure our users that we aren’t taking any commissions and our model uses different logics and resources and programs and scripts and not camelcamelcamel ! Nice catch though