Media Hoarder X ChatGPT

Hacker News

With all the craze around ChatGPT a good friend brought up an interesting question: how good could it be in recommending movies and could it be integrated in Media Hoarder - the media frontend? I tried a few queries to ChatGPT: - "Provide a list of oscar winning movies of 2020 and their IMDB IDs" - "Provide a list of mind-bending movies and their IMDB IDs" - "Provide a list of action movies where the protagonist is female and wields a shotgun and their IMDB IDs" and ChatGPT's answers are quite spot on! The next task was: How to integrate ChatGPT into Media Hoarder? Media Hoarder runs on Electron which allows to fully control a browser window. So you can: - open up a browser window and launch https://chat.openai.com - ask the user to have ChatGPT also return IMDB IDs - and continuously poll them from the DOM All in all, a really nice feature, implemented without much effort. Of course, as we all know, ChatGPT isn't always correct but very confident. So no answer it provides should be trusted 100%. But I think it's a great start in discovering movies. You can always go deeper with Media Hoarder's metadata and filtering abilities. Media Hoarder Website: < https://media.hoarder.software > Blog post "AI Recommendations with ChatGPT": < https://media.hoarder.software/blog/ai-recommendations-with-... > GitHub project: < https://github.com/theMK2k/Media-Hoarder > cheers -- MK2k

Visit product View on Hacker NewsDec 29, 2022

Share card

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

84%84% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: answers, way · Missing: mobile apps, ios, personal

46%46% 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

46%46% 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

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

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.

Correct prediction on native model

Similar products

ChatGPT – The Memoir25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ChatGPT – The Memoir

Hacker News2

ChatGPT in Emacs43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ChatGPT in Emacs

Hacker News23

StackOverflow for ChatGPT43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StackOverflow for ChatGPT

Hacker News2

This Is How ChatGPT Will Be Monetized27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

This Is How ChatGPT Will Be Monetized

Hacker News9

ChatGPT Wrote a “Memoir”23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ChatGPT Wrote a “Memoir”

Hacker News2

ChatGPT Pitches OnlyBots Concept52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ChatGPT Pitches OnlyBots Concept

Hacker News2

Tic Tac Toe Against ChatGPT27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tic Tac Toe Against ChatGPT

Hacker News1

Alongside ChatGPT and DALL-E Emacs shells50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Alongside ChatGPT and DALL-E Emacs shells

Hacker News1

Filtir – Fixing ChatGPT Hallucinations42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Filtir – Fixing ChatGPT Hallucinations

Hacker News2

Hypnotizing ChatGPT40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hypnotizing ChatGPT

Hacker News2

Browse all products Analyze your launch