iNFT – A Game Changer in the World of Dapps and Web3

Hacker News

Hey HN community! We're excited to introduce iNFT (Interactive Non-Fungible Tokens), an innovation we've been working on at Dapps.co. iNFTs represent a revolutionary step forward in the blockchain and Web3 space, aiming to redefine how users interact with decentralized applications (dApps). With iNFTs, we're taking the concept of NFTs a notch higher. iNFTs encapsulate entire decentralized applications (dApps), allowing users to interact with the dApp directly from their wallets, while ensuring seamless interoperability across multiple blockchain networks. We envision a world where users have effortless control and access to their dApps, where developers can build and distribute dApps with enhanced ease, and where blockchain's potential is harnessed to its fullest. We've outlined our vision, technology, and plans in our freshly minted whitepaper, which we're excited to share with you all: https://research.dapps.co We have tried to cover various use cases on the whitepaper in detail with user stories. We would love to hear your thoughts, feedback, and questions on iNFT and the future of dApps. We believe in learning, growing, and innovating together with the community. Looking forward to some insightful discussions! Thanks & Regards Mohit Madan, CEO, Dapps

Visit product View on Hacker NewsJul 19, 2023

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

90%90% 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: apps, user · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, io · Missing: https docs, just released, exist

61%61% 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: apps, users · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

8%8% 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, introduce · Missing: chat, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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