Imaranda – overcome circular discussions (and get better results)

Hacker News

Hello HN Community! My co-founder and I have launched our webapp and would be very curious to hear your thoughts on it: https://www.imaranda.com/ What is imaranda? - An app that helps teams overcome circular discussions - Imagine it to be Miro with strict structure that has an AI moderating the boards - Biggest difference between us and “traditional” digital whiteboards: we focus on bringing out quality outcomes from team discussions, and not just artifacts What problems does imaranda solve? - Coming up with ideas that solve critical problems or lead to innovation is difficult; this also takes a lot of time - Discussions can become lengthy, especially when underlying complexities are involved - this leads to more threads than results - Old knowledge becomes inaccessible / buried in long documents, which brings discussions back after a certain period of time How does imaranda do it? - Interactive whiteboard-like surface for teams to conduct discussions - AI guidance and moderation - Automatic structuring - Tracking results, open questions, focus Areas of discussions - GPT4 powered summarisation and inspiration We are in open beta at the moment, it's free for you to sign up and try. If any of you are up for it, we would love to give you a demo and hear your thoughts - you can schedule one through our website. Here is the link to our website and app again: https://www.imaranda.com/ Btw, figuring out how to really improve online discussions was quite the challenge and there is still so much we want to add. Still, results are really good and if you have any questions, ask away! Best Regards, Chris

Visit product View on Hacker NewsNov 10, 2023

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

74%74% 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

70%70% 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 · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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