Lighthouse RSS Reader (Omnivore alternative, free newsletter support)

Hacker News

Hi, I've been building Lighthouse for the better part of a year, and now seems to be a good opportunity to do a Show HN. Lighthouse is a RSS feed reader, and also supports subscribing to newsletters. It works really well for personal content curation, because differently from most readers, new content first arrives in the Lighthouse Inbox, where articles are either bookmarked (to move to library) or archived. The assumption is that even if you subscribed to a feed or newsletter, it doesn't mean you want to read everything they post. So an additional curation step helps keeping unwanted content out. Would love to know what you think about it!

Visit product View on Hacker NewsOct 30, 2024

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

81%81% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

78%78% 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: io · Missing: https docs, excited, just released

50%50% 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: personal · Missing: mobile apps, ios, entrepreneurs

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

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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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.

Incorrect prediction on native model

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