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Open-source documentation assistant, upload and ask questions

Hacker News

Open-source documentation assistant, upload and ask questions

Finding information in project documentation can be a daunting task, but DocsGPT is here to change that. DocsGPT is an innovative open-source solution that leverages the power of GPT models to make it easy for developers to ask questions about their projects and get accurate answers in real-time. We are also commited to keeping it open source and have all the features in a pro subsription that are in the open source version. It supports .pdf, .txt, .md, .rst It also has few extensions for Discord and chrome

Visit productView on Hacker NewsMar 31, 2023
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, open · Missing: mac, agents, macos
82%82% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, io · Missing: https docs, excited, just released
44%44% 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 · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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