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Using Stripe to Disrupt Google/Meta Ads

Hacker News

Using Stripe to Disrupt Google/Meta Ads

Hello HN, Excited to share something we’ve been working on: a new way to connect buyers and sellers that flips the traditional ad model used by Google and Meta. We call it Offers. It’s built on three core principles: privacy, choice, and cash rewards. How Offers Works * For Sellers: Create Offers with cash rewards to generate interest and boost visibility for your products or services. * For Buyers: Choose the Offers that interest you and earn a cash reward for each click. In return, provide valuable feedback to the seller. * Powered by Stripe Connect: Payments and transfers between buyers and sellers are seamless, secure, and fully transparent. The Problem with AdTech Today’s $1 trillion AdTech industry is driven by a massive global surveillance system that tracks your every move online, continuously building a profile of your likes and dislikes. This data is then sold to companies to target you with personalized ads—without your informed consent. A Better Way Offers removes the AdTech middleman, creating a direct, equitable, and transparent connection between buyers and sellers. No tracking. No hidden data collection. Just fair exchanges of value. Why It Matters If you’re content with the current AdTech model, there’s no reason to read further. But if you’re curious about a more consumer-friendly future for digital advertising, we invite you to experience it for yourself. You can view a live Offer here and earn a $1.50 cash reward for your time: https://sellff.com/$/ron.michel/offer/6Nu4M We’re eager to hear your thoughts and feedback as we work to redefine digital advertising with privacy, choice, and cash rewards at its core. Join us in shaping the future of advertising. Thanks for your time!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
98%98% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, stripe · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, google, way · Missing: mobile apps, ios, entrepreneurs
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, ide · Missing: https docs, just released, exist
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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