Build Your Own Custom Internet Frontpage with Marduk.xyz

Hacker News

Hey Hackernews, I'm excited to announce my new app called "marduk.xyz"! It's a custom feed builder that allows you to curate content from multiple sources in one convenient location. One of the unique features of marduk.xyz is that it uses privacy-focused Twitter and Reddit frontends like nitter and teddit to fetch content. This means you can access the latest updates from your favorite accounts and communities without sacrificing your privacy. In addition to Twitter and Reddit, you can also add RSS feeds to your custom feed. This allows you to keep up with the latest news and updates from your favorite websites in one place. With marduk.xyz, you have complete control over the content you see. Simply add the sources you're interested in, and you'll have your own personalized internet frontpage. If you're tired of constantly switching between different apps and websites to stay up to date, give marduk.xyz a try. I think you'll find it to be a convenient and efficient way to stay informed. Thanks for reading! I'm looking forward to hearing your thoughts on marduk.xyz. Marduk.xyz is built using SvelteKit and Pocketbase

Visit product View on Hacker NewsMay 19, 2023

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

92%92% 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

80%80% 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, io · Missing: https docs, just released, exist

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

nativeThis product was originally launched on this platform.

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

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

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

40%40% 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 · 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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