Chimu, a Collaborative Learning Platform

Hacker News

Hi HN, this is Ved -- the creator of Chimu. https://chimu.sh Chimu is a collaborative learning platform. It combines an e-reader with a Stack Overflow-like Q&A forum. As people read books or papers, they can view others' questions and ask their own. Take a look at a copy of Michael Nielsen's Neural Networks and Deep Learning with a sample annotation here: https://chimu.sh/d/pdf/wWELr-jIorg4Tz6WZk_vX (works best on desktop) Chimu helps the 1001th reader of a book or paper leverage the knowledge of everyone who came before them. My plan with Chimu is to create world-class educational resources. If ten thousand people read a textbook and only 1% of those ten thousand ask a question on Chimu, that's still 100 questions that a new learner no longer has to Google for when reading the textbook. Chimu takes the friction out of learning. The product is still in an early stage, but I'm excited to receive feedback from the HN crowd!

Visit product View on Hacker NewsMay 8, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, 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: google, education · Missing: mobile apps, ios, personal

49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% 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 · Missing: web3, chat, crypto

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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