Askyoutube – Ask YouTube anything

Hacker News

Hi everyone, I built this recently and found myself and my friends using it for various different things so I figured I'd share it here. It uses LLMs to answer queries from videos so you don't have to watch them yourself! Each video found is also included with a summary of its transcript for further exploration. Most importantly, it uses up-to-date videos and can answer question about real and recent things unlike ChatGPT. It is particularly useful for: 1. Getting up to date information about the news from different sources E.g. - What are the features of the recently released Apple Vision Pro? - How many people were evacuated from the recent eruption in Hawaii? 2. Product reviews E.g. - What's the best vegan & cruelty-free skin cream? - What is best GPU for deep learning in 2023? 3. Learning about a specific topic E.g. - What are the requirements for the commercial pilot's license? - How do I do a cartwheel? Let me know what you tried and submit feedback in the interface, I read all of them! Also do include your email if you want a follow up for your feedback Email: askutubeai@gmail.com

Visit product View on Hacker NewsJun 16, 2023

Share card

Actual performance

18points

15comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

70%70% 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.

AppSumoStrong fit for a featured deal · Strong signals: reviews, interface · Missing: plus, platform, intuitive

56%56% 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

50%50% 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: video · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, 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 · 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

Similar products

Ask YouTube57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Conversational search across YouTube's full catalogue

Product Hunt+2

Never ask someone more than once to do something - iPrompted41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Never ask someone more than once to do something - iPrompted

Hacker News16

Give, Then Ask41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Give, Then Ask

Hacker News1

Ask Me Anywhere41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask Me Anywhere

Hacker News3

Ask Naval Ravikant46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask Naval Ravikant

Hacker News8

FlyerMe - AdSense didn't approve so ask you all to dissect it40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FlyerMe - AdSense didn't approve so ask you all to dissect it

Hacker News2

Ask Paul Graham53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask Paul Graham

Hacker News2

Ask and Tally41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask and Tally

Hacker News1

Ask the NSA37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ask the NSA

Hacker News68

OneForty – Ask anyone anything41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OneForty – Ask anyone anything

Hacker News2

Browse all products Analyze your launch