Remanent, a Fraud and Risk Mitigation Tool for Web3 (Wallet Identity)

Hacker News

Hey there HN Community! I’m excited to share some news with you – we’ve recently launched Remanent, a tool that helps web3 companies keep their platforms safe and compliant. Remanent has been built for Web3 projects like Exchanges, Marketplaces, DeFi companies, and more. Anyone can check if a wallet address belongs to the US OFAC Sanctions list, turn on email alerts for future transactions, and generate reports to share with their team. We’ve received a lot of positive feedback from users who’ve tried Remanent, and we would love for you to give it a go as well; be sure to dig into the API docs too. Schedule a call to learn more about Remanent and give us your feedback.

Visit product View on Hacker NewsApr 19, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, email · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist

49%49% 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 · Strong signals: users · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

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Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: web3 · Missing: chat, crypto, cryptocurrency

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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