PageWise AI – Chat with your Confluence data in Slack in minutes

Hacker News

I've spent a good amount of time in Confluence over the years and have always longed for a tool that made it easier to connect the dots between, and reason about, disparate and sometime scattered sources of information across large, information-dense confluence sites. My first effort in this direction was to contribute the open source Confluence document loader for the llm application framework, Langchain: https://js.langchain.com/docs/modules/indexes/document_loade... I wanted to take this concept a lot further though and release something that anyone could use, and so https://pagewise.ai was born. I know this is a very specific use case that I'm catering for here, but I've got a feeling it could prove incredibly helpful for the right people, and I have lots of plans to build it out in to something more fully featured and widely applicable. This is most definitely still an MVP, but I think it's already got the potential to be incredibly useful.

Visit product View on Hacker NewsMay 22, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, open · Missing: mac, agents, macos

71%71% 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: open source, ide, io · Missing: https docs, excited, just released

59%59% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting

58%58% 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, para · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% 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

14%14% 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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