The fastest way to absorb knowledge

Hacker News

TLDR: Meet Lilys AI—a YouTube summary web service that saves you significant time. It delivers summaries that avoid excessive simplification, preserving the original source material, allowing you to grasp the entirety of a video without needing to play it. Hello, everyone! In this age of information overload, our mission is to help you process information faster and more efficiently. Have you ever struggled to watch an overly long video? Or encountered a video in a foreign language that felt inaccessible? You're not alone; I've faced the same challenges. After trying dozens of video summary services and finding none that met my expectations—due to their tendency to oversimplify or misrepresent content—I felt compelled to create a solution. Our solution : 1. Summaries are not overly simplified and are created in appropriate chunks. 2. If you're skeptical about a summary, you can instantly unfold the original script it's based on. 3. Offering explanations for any part of the summary note, including specific paragraphs or keywords, with just a single click—placing insights within the video's context. 4. It's also possible to chat directly with the video content.

Visit product View on Hacker NewsMar 26, 2024

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best fitHighest predicted score across all platforms for this description.

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

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TrustMRRFits verified-revenue profile · Strong signals: video, way, para · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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47%47% 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, including · Missing: https docs, excited, just released

40%40% 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 · 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 · 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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