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georgia-tech-db
evadb
Python2023–2023
georgia-tech-db / evadb · Archived

evadb

Database system for AI-powered apps

AI & Machine LearningData & DatabasesCreative & Media
Explore on GitHubRead Hacker News discussions
3Distinct people
23Mentions
0Explicit recommenders
2.7KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Database system for AI-powered apps

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:01:12 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week23 dated mentions

Observed mentions: 2023-04-30 16:52:01 UTC to 2023-10-28 16:56:46 UTC. Weeks start Monday, UTC.

0123452023-04-24 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 3 mentions; 1 submissions, 2 commentsApr 242023-05-01 00:00:00 UTC to 2023-05-08 00:00:00 UTC (exclusive): 4 mentions; 0 submissions, 4 comments2023-05-08 00:00:00 UTC to 2023-05-15 00:00:00 UTC (exclusive): 5 mentions; 0 submissions, 5 comments2023-05-15 00:00:00 UTC to 2023-05-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-22 00:00:00 UTC to 2023-05-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-05-29 00:00:00 UTC to 2023-06-05 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-05 00:00:00 UTC to 2023-06-12 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023-06-12 00:00:00 UTC to 2023-06-19 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-06-19 00:00:00 UTC to 2023-06-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-06-26 00:00:00 UTC to 2023-07-03 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-03 00:00:00 UTC to 2023-07-10 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-10 00:00:00 UTC to 2023-07-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-17 00:00:00 UTC to 2023-07-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-24 00:00:00 UTC to 2023-07-31 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJul 242023-07-31 00:00:00 UTC to 2023-08-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-07 00:00:00 UTC to 2023-08-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-14 00:00:00 UTC to 2023-08-21 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-08-21 00:00:00 UTC to 2023-08-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-28 00:00:00 UTC to 2023-09-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-04 00:00:00 UTC to 2023-09-11 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-09-11 00:00:00 UTC to 2023-09-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-18 00:00:00 UTC to 2023-09-25 00:00:00 UTC (exclusive): 2 mentions; 0 submissions, 2 comments2023-09-25 00:00:00 UTC to 2023-10-02 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2023-10-02 00:00:00 UTC to 2023-10-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-09 00:00:00 UTC to 2023-10-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-16 00:00:00 UTC to 2023-10-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-10-23 00:00:00 UTC to 2023-10-30 00:00:00 UTC (exclusive): 3 mentions; 0 submissions, 3 commentsOct 23

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 242023-04-24 00:00:00 UTC2023-05-01 00:00:00 UTC312
May 12023-05-01 00:00:00 UTC2023-05-08 00:00:00 UTC404
May 82023-05-08 00:00:00 UTC2023-05-15 00:00:00 UTC505
May 152023-05-15 00:00:00 UTC2023-05-22 00:00:00 UTC000
May 222023-05-22 00:00:00 UTC2023-05-29 00:00:00 UTC000
May 292023-05-29 00:00:00 UTC2023-06-05 00:00:00 UTC000
Jun 52023-06-05 00:00:00 UTC2023-06-12 00:00:00 UTC110
Jun 122023-06-12 00:00:00 UTC2023-06-19 00:00:00 UTC101
Jun 192023-06-19 00:00:00 UTC2023-06-26 00:00:00 UTC000
Jun 262023-06-26 00:00:00 UTC2023-07-03 00:00:00 UTC000
Jul 32023-07-03 00:00:00 UTC2023-07-10 00:00:00 UTC000
Jul 102023-07-10 00:00:00 UTC2023-07-17 00:00:00 UTC000
Jul 172023-07-17 00:00:00 UTC2023-07-24 00:00:00 UTC000
Jul 242023-07-24 00:00:00 UTC2023-07-31 00:00:00 UTC000
Jul 312023-07-31 00:00:00 UTC2023-08-07 00:00:00 UTC000
Aug 72023-08-07 00:00:00 UTC2023-08-14 00:00:00 UTC000
Aug 142023-08-14 00:00:00 UTC2023-08-21 00:00:00 UTC101
Aug 212023-08-21 00:00:00 UTC2023-08-28 00:00:00 UTC000
Aug 282023-08-28 00:00:00 UTC2023-09-04 00:00:00 UTC000
Sep 42023-09-04 00:00:00 UTC2023-09-11 00:00:00 UTC202
Sep 112023-09-11 00:00:00 UTC2023-09-18 00:00:00 UTC000
Sep 182023-09-18 00:00:00 UTC2023-09-25 00:00:00 UTC202
Sep 252023-09-25 00:00:00 UTC2023-10-02 00:00:00 UTC110
Oct 22023-10-02 00:00:00 UTC2023-10-09 00:00:00 UTC000
Oct 92023-10-09 00:00:00 UTC2023-10-16 00:00:00 UTC000
Oct 162023-10-16 00:00:00 UTC2023-10-23 00:00:00 UTC000
Oct 232023-10-23 00:00:00 UTC2023-10-30 00:00:00 UTC303

What Hacker News says

1 sources
jarulraj·Sep 30, 2023Submission

Show HN: Stargazers Reloaded – LLM-Powered Analyses of Your GitHub Community

Hey friends! We have built an app for getting insights about your favorite GitHub community using large language models. The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs. This app is inspired by the “original” Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this LLM-powered app built using EvaDB additionally extracts insights from unstructured data obtained from the stargazers’ webpages. Our analysis of the fast-growing GPT4All community showed that the majority of the stargazers are proficient in Python and JavaSc
Read the rest
ript, and 43% of them are interested in Web Development. Web developers love open-source LLMs! We found that directly using GPT-4 to generate the “golden” table is super expensive — costing $60 to process the information of 1000 stargazers. To maintain accuracy while also reducing cost, we set up an LLM model cascade in a SQL query, running GPT-3.5 before GPT-4, that lowers the cost to $5.5 for analyzing 1000 GitHub stargazers. We’ve been working on this app for a month now and are excited to open source it today :) Some useful links: * Blog Post - https://medium.com/evadb-blog/stargazers-reloaded-llm-powere... * GitHub Repository - https://github.com/pchunduri6/stargazers-reloaded/ * EvaDB - https://github.com/georgia-tech-db/evadb Please let us know what you think!
20 points · Open discussion

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