ARarielwein·May 5, 2023Submission
Pezzo – Open-Source AI Development Toolkit (Alpha)
1 points · Open discussionpezzolabs
pezzo
TypeScript2023–2024
pezzolabs / pezzo
pezzo
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
4Distinct people
6Mentions
0Explicit recommenders
3.3KGitHub stars
What to know before exploring
What it is
🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.
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, 10:49:33 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 month6 dated mentions
Observed mentions: 2023-05-05 13:36:44 UTC to 2024-08-23 04:40:25 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| May 2023 | 2023-05-01 00:00:00 UTC | 2023-06-01 00:00:00 UTC | 2 | 1 | 1 |
| Jun 2023 | 2023-06-01 00:00:00 UTC | 2023-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2023 | 2023-07-01 00:00:00 UTC | 2023-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2023 | 2023-08-01 00:00:00 UTC | 2023-09-01 00:00:00 UTC | 2 | 2 | 0 |
| Sep 2023 | 2023-09-01 00:00:00 UTC | 2023-10-01 00:00:00 UTC | 1 | 1 | 0 |
| Oct 2023 | 2023-10-01 00:00:00 UTC | 2023-11-01 00:00:00 UTC | 0 | 0 | 0 |
| Nov 2023 | 2023-11-01 00:00:00 UTC | 2023-12-01 00:00:00 UTC | 0 | 0 | 0 |
| Dec 2023 | 2023-12-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2024 | 2024-01-01 00:00:00 UTC | 2024-02-01 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2024 | 2024-02-01 00:00:00 UTC | 2024-03-01 00:00:00 UTC | 0 | 0 | 0 |
| Mar 2024 | 2024-03-01 00:00:00 UTC | 2024-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 2024 | 2024-04-01 00:00:00 UTC | 2024-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 2024 | 2024-05-01 00:00:00 UTC | 2024-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2024 | 2024-06-01 00:00:00 UTC | 2024-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2024 | 2024-07-01 00:00:00 UTC | 2024-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 2024 | 2024-08-01 00:00:00 UTC | 2024-09-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesAI is extremely powerful. Yet, combining AI development in your workflow as a developer/team is very difficult. After months of experience working with various AI models, I have witnessed these pains first-hand and notice the impact they have on productivity, visibility, cost, and efficiency.
To solve these issues, I am excited to release the Alpha version of Pezzo!
Pezzo is designed to help individuals and teams unleash the full potential of AI and help with its adoption. It simplifies the management and execution of AI prompts, provides detailed insights into performance and costs, and streamlines the development process where developers and stakeholders can effectively design prompts.
Pezzo on GitHub: https://github.com/pezzolabs/pezzo
Here's what Pezzo can do for you:
1. Centralised AI Prompt Management
2. Streamlined Prompt Design, T
Read the rest
esting and Publishing
3. Enhanced AI Observability (inspect request, response, parameters, stats and more)
4. Effortless Troubleshooting (time travel, retroactive remediation)
5. Cost Insights
6. Reduce Code Overhead by 90% with the Pezzo Client
Here's how you can help:
-> Star Pezzo on GitHub to show your support
-> Contributions are welcome
-> Let me know about your experience implementing AI models in your development workflow