I made an LLM-based news summarization service

Hacker News

The way it works is I source from a predefined set of rss feeds. The I run DeepSeek on my personal GPU in my apartment and ask it to summarize. Then I do a second pass and ask it to rate the summary and article heading together. I am looking to make some other features that will make this website more useful. Personally, I find it at least slightly useful to be able to consume a broad set of articles quickly, without just relying on the headlines

Visit product View on Hacker NewsApr 21, 2025

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2points

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best fitHighest predicted score across all platforms for this description.

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61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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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, way · Missing: mobile apps, ios, entrepreneurs

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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