Marginalia – Exploration Mode

Hacker News

I've been a bit obsessed with the idea of flipping through the internet a bit like you would a magazine, of undirected browsing as a discovery mechanism, and I think I'm approaching something that's beginning to feel pretty fun. The link at the top will return results out of a pool of approximately 10,000 domains, you can refresh to get new ones. You can also explore in a directed fashion by using the 'Similar Domains'-buttons. These are not random. A sampler, beyond the random sites offered with the head link https://search.marginalia.nu/explore/www.amiga-news.de https://search.marginalia.nu/explore/www.aaronsw.com https://search.marginalia.nu/explore/therealbitcoin.org I don't have thumbnails for all 500k domains in the database yet, but I think it's getting to a number where it's reasonable useful.

Visit product View on Hacker NewsJan 23, 2022

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Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

12%12% 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

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

Correct prediction on native model

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