Fu

Fusion RSS v0.9 – New UI, shortcuts, internationalization, and more

Hacker News

Fusion RSS v0.9 – New UI, shortcuts, internationalization, and more

Hey folks! We've added multiple features that the community wants. I'm excited to share these changes! Fusion ( https://github.com/0x2E/fusion ) is a lightweight, self-hosted friendly RSS reader. What's changed: 1. New UI - Redesigned to two-columns layout - Optimized page rendering speed 2. Shortcuts: Press `?` to see them :D 3. i18n: Added English, Chinese, German, French, Spanish, Russian, Portuguese, and Swedish 4. Improved backend robustness: Thanks to mtlynch for optimizing backend code and adding unit tests Feel free to share your feedback!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos
77%77% 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, created, podcasting
65%65% 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 · Missing: https docs, just released, open source
43%43% 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: host · Missing: reviews, intuitive, videos
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: api, 000, profitable
8%8% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses
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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