Jektex – Fast server side rendering of latex for Jekyll

Hacker News

Hello! This is my first attempt of creating, publishing and maintaining my own package. I have a blog with something around 4000 latex expressions. Client side rendering using latex was super slow and some phones did not render it properly. I tried some KaTeX plugins for server side rendering but they were painfully slow (on my laptop it took more than 5 min to build). So I decided to learn some ruby and create latex rendering plugin by my self. So I created jektex. Jektex is a Jekyll plugin for fast server side cached LaTeX rendering, with support for macros and is very configurable. Now I can render y entire blog in 2 seconds on same laptop. I will be very happy for any feedback or advice. Have a nice day

Visit product View on Hacker NewsNov 28, 2022

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3points

Did not reach leaderboard

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

81%81% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

68%68% 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 · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: mac, using · Missing: agents, macos, agent

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

31%31% 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

19%19% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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