DAppling – Simple Decentralized Frontends

Hacker News

Hey HN, I’m Russell from dAppling ( https://dappling.network ), here with my co-founder Kyle. We’re building a tool that helps developers deploy decentralized frontends that are performant. We were previously building a DeFi protocol on Ethereum together. We wanted to build something that was extremely secure, resilient, and safe for users. There were a ton of resources and tools for doing this on the smart contract side, but when it came to frontends the tools and resources were lacking. The dev experience was bad, and the sites were slow. So, we decided to build a simple tool where you can connect your Github account and a minute later have a frontend deployed on IPFS. You also get the dev experience you’ve come to expect from platforms like Vercel/Netlify. With CI/CD, preview builds, and custom domains out of the box. We currently leverage some centralized infrastructure to ensure fast site performance, but we have plans to gradually transition to decentralized infrastructure as it improves over time. Our goal is to empower developers with decentralized solutions without compromising on DX or performance. Next up, we are adding some features for preventing web3 security attacks, serverless functions, and performance improvements. Platform is currently free. Would love any feedback. Thanks in advance, Russell

Visit product View on Hacker NewsJul 9, 2023

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

83%83% 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.

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

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

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

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

14%14% 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, smart · Missing: chat, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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