Serendipity Theme v2.0 for VS Code and other platforms

Hacker News

Hello everyone! Here I am back with Serendipity V2.0 this time comes with better accessibility and more perks and we crossed 15K users! Marketplace: - https://marketplace.visualstudio.com/items?itemName=wicked-labs.wvsc-serendipity Official website: - https://serendipitytheme.com/ Repositories: - https://github.com/serendipity-theme So, what's new? 100% new colour palette for the 3 themes. - Midnight - Sunset - Morning *This time comes with tree icons too! A new site with links to all the reports and a colour palette picker where you can copy the colour code to your clipboard. Ported to other platforms: Code editors ---- ↳ VS Code ↳ Open VSX Terminals --- ↳ Windows Terminal ↳ iTerm2 Apps --- ↳ Linear App ↳ Slack Channel ↳ Discord ↳ Bear Blog ↳ Instatus Code ---- ↳ CSS ↳ SASS ↳ Tailwind CSS ↳ Swatches ↳ ACO ↳ ASE ------------------------------------------------------ Get them here: https://serendipitytheme.com/themes ------------------------------------------------------ The first version for Serendipity V1.0 can also be installed from here: - https://marketplace.visualstudio.com/items?itemName=wicked-labs.old-serendipity Feel free to join Serendipity on Github and if you have any questions, feel free to ask me here or on twitter.com/mike_andreuzza Also, I would like to thank @chaphasilor and the rest of the contributors for helping me out porting the theme to other platforms. Have a great day everyone! /Mike

Visit product View on Hacker NewsMay 16, 2022

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

76%76% 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: slack, apps, user · Missing: mac, agents, macos

62%62% 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: io · Missing: https docs, excited, just released

46%46% 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: apps, users · Missing: mobile apps, ios, personal

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

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

35%35% 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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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