Publish websites from your markdown notes.

Hacker News

Hello Hacker News, I've been working on Relentless for a couple months now. I wanted to create a note taking app that lets you write, structure and publish Markdown Notes. I know there are many similar tools out there but I couldn't find something that 1. Works offline. 2. Syncs when online. 3. Provides rich publishing of notes. (Syntax highlighting, Math support) 4. Has GFM support. I think a tool like this needs to exist to make it easier to publish a section of your notes to a website. For me, a lot of creative writing happens in my notes app. There's a lot of essays and short thoughts that I'd like to share but it ends up never being put out because its too much work to actually wire everything up and publish to a blog. I'm sure a lot folks have the same problem. I hope Relentless helps me and all of you in publishing our thoughts to the internet. Best, Pranay

Visit product View on Hacker NewsMay 15, 2024

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Hacker NewsStrong engagement from HN community · Strong signals: exist, hacker news, ide · Missing: https docs, excited, just released

82%82% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% 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

21%21% 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

16%16% 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.

Correct prediction on native model

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