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FutureNotes – Video to Notes Converter

Hacker News

FutureNotes – Video to Notes Converter

Hello HN! I'm Jia Yi, a co-founder of FutureNotes ( https://www.futurenotes.ai/ ). Our platform converts videos directly into notes, using traditional machine learning for video parsing (generative AI is still too slow and expensive for the volume of data involved) and LLM technology for text summarization. Here are some samples we produced based on 'Introduction to Deep Learning' by MIT (it's a great lecture series, you may want to check it out!): https://www.futurenotes.ai/samples . As an avid learner, I often turn to videos for knowledge, but over time I realised that video didn't suit my learning style - I prefer notes enriched with helpful images that can be skimmed through at my own pace. Moreover, I wanted to keep a personal record of the content I had encountered, something quickly referenceable for recapping what I've learnt, but a bunch of video links or thumbnails isn't an optimal format for that. With these issues in mind I developed the core scripts of FutureNotes' last year, primarily for my friends and myself. This year I decided to build a web service around it, thinking that there might be others out there like me who prefer a more text-based means of information exchange. The current version of FutureNotes is a basic implementation, but it contains the core functionality of video-to-notes conversion. You can either upload an existing video or record your screen, and indicate the email(s) you'll like the notes to be delivered to (in both word and pdf formats). I am hoping the email functionality allows people to use it as a form of communication as well (perhaps an alternative to traditional email or Slack videos)? I look forward to hearing about how people use FutureNotes, and welcome suggestions on how it can be made more useful! Videos less than a minute long will be processed into notes for free. In addition, to celebrate Cyber Monday (and the launch), we'll be having a 40% discount for the entire week (27 Nov to 3 Dec). I hope this encourages more people to give FutureNotes a try and feedback :) One more thing, if there are any popular suggestions for specific videos that people would like to see as converted into notes, I'll do my best to process the video and upload it to samples page of our website ( https://www.futurenotes.ai/samples ) for everyone to view. Thank you so much for your time!

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, slack, email · Missing: agents, macos, agent
89%89% 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
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: personal, video · Missing: mobile apps, ios, entrepreneurs
60%60% predicted probability of success on TrustMRR, 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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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.

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