Automated data pipeline for your AI apps

Hacker News

We just launched Turbine, it automates the data pipeline for LLM powered apps. It fetches data from your database, creates embeddings from the data, and stores in a vector database for easy semantic search. It also creates a real-time data pipeline to fetch changes and keep the search data fresh. Turbine supports multiple source databases, embedding models and vector databases. It's aimed to be configurable and easy to use at the same time. It's primary use case would be being the data backend for LLM apps—to create a relevant context for each prompt from your data. We are very early and this is our first public launch, we just have tested the product internally. Any and all feedback would be very appreciated. DM or email me at sumit@useturbine.com if you are interested to be a early beta user of Turbine and help us build this product. Thank you! Looking forward to your comments.

Visit product View on Hacker NewsOct 9, 2023

Share card

Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

97%97% 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: supports · Missing: reddit linkedin, podcasting, created

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: pipe · 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.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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.

Incorrect prediction on native model

Similar products

A poor man's data pipeline56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A poor man's data pipeline

Hacker News3

Goodreads Data Pipeline51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Goodreads Data Pipeline

Hacker News213

Pipeline Accidents of the 21st Century – Visualized58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pipeline Accidents of the 21st Century – Visualized

Hacker News2

Showcaise41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ai apps directory

Product Hunt+9

Io10.dev, a Data Pipeline in the Browser62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Io10.dev, a Data Pipeline in the Browser

Hacker News2

Data Apps for Everyone64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data Apps for Everyone

Hacker News4

Propello66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create the pipeline you never had

Product Hunt+102Marketing

PipeRider, data reliability automated tool52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PipeRider, data reliability automated tool

Hacker News14

Nexora – Custom Automation and Data Pipeline Showcases39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Nexora – Custom Automation and Data Pipeline Showcases

Hacker News2

Taipy: Building data and AI apps, an alternative to Streamlit71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Taipy: Building data and AI apps, an alternative to Streamlit

Hacker News14

Browse all products Analyze your launch