Manage a portfolio website with lots of projects – ortfo

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Hi! I'm excited to share something I've been working on: ortfo, a collection of tools to make managing portfolio websites with lots of projects easier Right now only ortfo/db exists, it's the "database" part. The idea is to describe your projects in markdowns files, that you can store alongside the projects themselves, in e.g. my-project/.ortfo/description.md Then, the CLI collects all those markdown files, plus any media file you reference in them, and creates an easily digestible JSON file with every project in it. The tool has support for thumbnail generation, specifying tags, technologies (to say that you used e.g. Svelte for a project, FL Studio for a music album or oil painting for a painting), complex layouts (to put stuff pictures side by side for example), proeminent colors extraction, and more. There's also an "exporter" plugin system to easily upload the resulting json file anywhere, or integrate with static site generators I'm using it with go-templ to generate my own portfolio site, https://ewen.works (source code is at github.com/ewen-lbh/portfolio)

Visit product View on Hacker NewsApr 17, 2024

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

75%75% 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: using, code · Missing: mac, agents, macos

52%52% 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: excited, exist, ide · Missing: https docs, just released, lua

37%37% 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: plus · Missing: platform, intuitive, reviews

35%35% 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

27%27% 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

11%11% 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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