Ragobble – Dump your links, videos, and files and search with RAG

Hacker News

Hey HN! I recently created and launched ragobble! I made this out of a personal need to just dump links, videos, and files as I browse the web to be able to quickly summarize or pull certain information from long podcasts , articles, or books. I also wanted to be able to reference these collections of material later on after leaving the application. - Users can create Knowledge-Bases and upload various data types such as links to articles, YouTube videos, files, etc. - You can create multiple Knowledge-Bases and compartmentalize your data. - Users can then asks questions with AI utilizing retrieval augmented generation (RAG), hence the name 'ragobble'. Let me know what you guys think!

Visit product View on Hacker NewsMay 23, 2024

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

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 · Strong signals: created · Missing: supports, reddit linkedin, podcasting

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, video, users · Missing: mobile apps, ios, entrepreneurs

47%47% 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

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

ragobble60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Upload videos, links, files, PDFs and search through them

Product Hunt+124Productivity

Vectorless RAG48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vectorless RAG

Hacker News11

PageIndex – Vectorless RAG66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PageIndex – Vectorless RAG

Hacker News192

Preprocess65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Preprocess maximises RAG performances

Product Hunt+106API

Search HN with RAG and LLMs55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search HN with RAG and LLMs

Hacker News2

Open-source, citations-first RAG search for Epstein Files44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open-source, citations-first RAG search for Epstein Files

Hacker News1

Search Videos submitted to HN46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search Videos submitted to HN

Hacker News3

Full text search on 24M filehoster links61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Full text search on 24M filehoster links

Hacker News11

Inquir69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Search-as-a-service and RAG builder

Product Hunt+134Analytics

I made a RAG agent for the leyman24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a RAG agent for the leyman

Hacker News5

Browse all products Analyze your launch