Dev-Docs – A tool that helps you document as you code

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Hi all, Super excited to share that I am building Dev-Docs, and I wanted to create a post to get other developers' thoughts. Background: Developers know how important it is to document their codebases, but often, it's an afterthought that ends up taking a lot of time and effort. That's where Dev-Docs comes in - a solution that helps developers document as they code, making the process easier and more efficient. Features: Dev-Docs handles both internal documentation for teams and external documentation around APIs and codebases for customers and partners. Internal Documentation: Dev-Docs makes it easy for engineers to document their code, right within their editor. This way, they can easily document the code they're working on, without having to switch between multiple tools. Think of it as a mini local notion that lives within vs code. External API and Codebase Documentation: Developers can also use Dev-Docs to document their external APIs and codebases, making it easier for their customers and partners to understand how the code works. Quick demo(From December): https://youtu.be/fmcgw3MkW4E Currently it is live but I am going to try to refine it a bit during this month and hopefully market a more open launch. In the meantime I would love some feedback on the video/product(hopefully none that obliterates my identity and all of my self-esteem). :') Additionally feel free to dm on linkedin if you have direct feedback or want to start using the rough version of it: https://www.linkedin.com/in/andrewryanvanbeek . Thanks!

Visit product View on Hacker NewsFeb 1, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code, apis · 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.

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.

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

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 · Strong signals: video, month, way · 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: efficient · Missing: plus, platform, intuitive

25%25% 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

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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