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Shop on Amazon with Crypto

Hacker News

Shop on Amazon with Crypto

Hey folks! I'm building an app to let anyone shop on Amazon with crypto. How it works: [1] Add "baggins.ai/" before any Amazon product URL [2] Fill in your shipping details [3] Pay with your preferred wallet (BTC, ETH, DOGE, USDC, and more) Features: - Supports 1-2 day Prime shipping - Uses Coinbase Commerce for secure transactions Here's an early version for y'all to test: https://www.baggins.ai/ Keen to get feedback on the UX and feature requests! My LI to show that it’s not a scam :) https://www.linkedin.com/in/kisum-chan/

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Actual performance

5points
4comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
72%72% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: crypto · Missing: web3, chat, cryptocurrency
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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