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I'm building open-source, collaborative developer content platform

Hacker News

I'm building open-source, collaborative developer content platform

Hi everyone, So, I've been building Vrite as an open-source project for a while now, but only now - with v0.2.0 - I'm happy to finally provide official self-hosting support. The best way to describe Vrite is a "developer content platform" - something between a CMS and a knowledge base - a versatile tool to create, manage, and publish your technical content. You can use it in various ways: - as a headless CMS for your technical blog (with Kanban management dashboard and API + JS SDK) - as a great WYSIWYG editor for product docs in your GitHub repo (kind-of like GitBook) - as an internal tool to manage, search through, and chat with all your content with AI (so a knowledge base like Confluence, Notion, etc.) Currently, Vrite is still in Beta, but I hope that in time, it can become a solid tool for various use cases, helping all kinds of software developers and technical writers maintain high-quality docs, share knowledge, and build their blogs. Either way, if you're interested in something like this, let me know what you think. And how I can make Vrite even better. For some other links: - Today's Product Hunt launch (if you like the product, support it there): https://www.producthunt.com/products/vrite - Self-hosting guide: https://docs.vrite.io/self-hosting/docker/ - Landing page: https://vrite.io

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, open · Missing: mac, agents, macos
93%93% predicted probability of success on Product Hunt, 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, io · Missing: https docs, excited, just released
85%85% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
28%28% 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
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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