RecapIt Youtube Summarisation and Chat

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What this does: You give it any Youtube video and get a summary of the content back (instead of watching 10+ minutes). You can also have a chat "with the video content" if you want more information on certain topics. I built this on LangchainAI and Streamlit while learning those 2 libraries. LangchainAI made it easy to create vector embeddings for querying (with the OpenAI API in the background) and Streamlit made having a UI easy for someone who usually only does backend development. Now I know how to use these libraries and I can also save some time by not watching Youtube videos that are way too long for the amount of information they deliver (I was wasting way too much time on that page). This is my first solo project that utilises AI and I'd be happy to get some feedback (and I hope it may be helpful to one or two of you). (For some reason the URL didn't work - here it is: https://recapit.streamlit.app )

Visit product View on Hacker NewsMay 16, 2023

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

76%76% 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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

55%55% predicted probability of success on TrustMRR, 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

37%37% 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 · Missing: plus, platform, intuitive

35%35% 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

19%19% 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.

Correct prediction on native model

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