Miniflux-CLI – offline-first Miniflux client

Hacker News

Hey Hacker News, miniflux-cli developer here. I use miniflux as primary source of things to read (including hacker news, of course), but in my case I don't have stable internet connection most of the time, so I did offline-first console client for miniflux, check it out: https://sr.ht/~xn/miniflux-cli/ It syncs all feeds and entries on start and after that you can read all the content offline (including "mark as read"/"mark as unread"). The project built on go, using bbolt db, tview and official miniflux api client. Some neat features - you can set text and background colors of each ui element and hide/show sidebar, statusbar and hotkeybar. Custom hotkeys will be available later, for now "vim-like" is used.

Visit product View on Hacker NewsApr 3, 2021

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23points

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

73%73% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

44%44% 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 · Missing: plus, platform, intuitive

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

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

35%35% 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.

Incorrect prediction on native model

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