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ManiDoraisamy
promptrepo-score
JavaScript2025–2025
ManiDoraisamy / promptrepo-score

promptrepo-score

Calculate confidence score for structured output generated by LLMs like OpenAI

AI & Machine Learning
Explore on GitHubRead Hacker News discussions
2Distinct people
2Mentions
0Explicit recommenders
15GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Calculate confidence score for structured output generated by LLMs like OpenAI

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 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 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 day2 dated mentions

Observed mentions: 2025-04-10 15:16:15 UTC to 2025-05-01 20:28:58 UTC.

012025-04-10 00:00:00 UTC to 2025-04-11 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsApr 102025-04-11 00:00:00 UTC to 2025-04-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-12 00:00:00 UTC to 2025-04-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-13 00:00:00 UTC to 2025-04-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-14 00:00:00 UTC to 2025-04-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-15 00:00:00 UTC to 2025-04-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-16 00:00:00 UTC to 2025-04-17 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-17 00:00:00 UTC to 2025-04-18 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-18 00:00:00 UTC to 2025-04-19 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-19 00:00:00 UTC to 2025-04-20 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-20 00:00:00 UTC to 2025-04-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsApr 202025-04-21 00:00:00 UTC to 2025-04-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-22 00:00:00 UTC to 2025-04-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-23 00:00:00 UTC to 2025-04-24 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-24 00:00:00 UTC to 2025-04-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-25 00:00:00 UTC to 2025-04-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-26 00:00:00 UTC to 2025-04-27 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-27 00:00:00 UTC to 2025-04-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-28 00:00:00 UTC to 2025-04-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-29 00:00:00 UTC to 2025-04-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-04-30 00:00:00 UTC to 2025-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-05-01 00:00:00 UTC to 2025-05-02 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMay 1

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 102025-04-10 00:00:00 UTC2025-04-11 00:00:00 UTC110
Apr 112025-04-11 00:00:00 UTC2025-04-12 00:00:00 UTC000
Apr 122025-04-12 00:00:00 UTC2025-04-13 00:00:00 UTC000
Apr 132025-04-13 00:00:00 UTC2025-04-14 00:00:00 UTC000
Apr 142025-04-14 00:00:00 UTC2025-04-15 00:00:00 UTC000
Apr 152025-04-15 00:00:00 UTC2025-04-16 00:00:00 UTC000
Apr 162025-04-16 00:00:00 UTC2025-04-17 00:00:00 UTC000
Apr 172025-04-17 00:00:00 UTC2025-04-18 00:00:00 UTC000
Apr 182025-04-18 00:00:00 UTC2025-04-19 00:00:00 UTC000
Apr 192025-04-19 00:00:00 UTC2025-04-20 00:00:00 UTC000
Apr 202025-04-20 00:00:00 UTC2025-04-21 00:00:00 UTC000
Apr 212025-04-21 00:00:00 UTC2025-04-22 00:00:00 UTC000
Apr 222025-04-22 00:00:00 UTC2025-04-23 00:00:00 UTC000
Apr 232025-04-23 00:00:00 UTC2025-04-24 00:00:00 UTC000
Apr 242025-04-24 00:00:00 UTC2025-04-25 00:00:00 UTC000
Apr 252025-04-25 00:00:00 UTC2025-04-26 00:00:00 UTC000
Apr 262025-04-26 00:00:00 UTC2025-04-27 00:00:00 UTC000
Apr 272025-04-27 00:00:00 UTC2025-04-28 00:00:00 UTC000
Apr 282025-04-28 00:00:00 UTC2025-04-29 00:00:00 UTC000
Apr 292025-04-29 00:00:00 UTC2025-04-30 00:00:00 UTC000
Apr 302025-04-30 00:00:00 UTC2025-05-01 00:00:00 UTC000
May 12025-05-01 00:00:00 UTC2025-05-02 00:00:00 UTC101

What Hacker News says

2 sources
manidoraisamy·May 1, 2025
Ideally, you want to start small and iterate. With Promptrepo, you can use versioning to compare model outputs across different datasets. In the test UI, we calculate confidence scores using @promptrepo/score [1], which parses OpenAI’s logprobs and shows field-level reliability. Fields with low confidence are highlighted in red, making it easy to catch signs of overfitting or data drift. [1] https://github.com/ManiDoraisamy/promptrepo-score
In Show HN: Create your own finetuned AI model using Google Sheets

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