Knowdeck,an Advanced Visualisation Tool

Hacker News

Hey everyone, i'm building knowdeck.me which helps you simplify complex topics into clear, cited slides. if i want to describe it in one line :- it helps you learn faster, create better presentations, and simplify complex topics. Whether you're a student trying to understand a difficult subject, a professional preparing for a meeting, or just a curious mind, knowdeck helps you learn and present information more effectively. you can ask it anything, and you will get slides with clear theory and our Ai models works with web search to provide you with most accurate explanation with citation of sources too, if you don't like any particular generated slide, then you can update that too. if you still don't understand, every slide has an option where you can ask question for that slide, that will generate a slide, explain your question wrt context of that slide. also you can create follow up decks too. knowdeck isn't just about creating presentations, it's about learning and presenting better. The platform is completely free to use as of now, so you can use it and generate as many as deck you want. and we will keep the pricing as low as possible! also we respect your privacy, so no data is ever used for advertisement or training purpose. p.s you don't require signing in to test it. try now :- https://www.knowdeck.me/ would be grateful if i get feedback.

Visit product View on Hacker NewsAug 25, 2025

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

91%91% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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

41%41% 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 · Missing: mobile apps, ios, personal

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

Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue

13%13% 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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