Remy – A Video Answer Engine

Hacker News

TLDR: Remy is a video answer engine that finds the exact moments in YouTube videos that answer your questions. It also lets you search over specific videos, playlists, or channels. We originally launched this just under a month ago as a clip playlist generator, and while we saw some initial excitement, we soon realized a tough truth: people just don’t create playlists very often. So, we’ve been working on refining the product into something more practical and frequently used—an answer engine. Think Perplexity, but every source is a real person speaking in a YouTube video. We’ve been using this for product comparisons, primary source research, and getting startup advice from trusted sources (like the YC Channel). Excited to see if you find it useful!

Visit product View on Hacker NewsDec 18, 2024

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Launch Intel predictions

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

82%82% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% 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

20%20% 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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