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synthetic-lab
octofriend
TypeScript2025–2025
synthetic-lab / octofriend

octofriend

An open-source coding helper. Very friendly!

3Distinct people
5Mentions
0Explicit recommenders
1KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

An open-source coding helper. Very friendly!

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 week5 dated mentions

Observed mentions: 2025-08-07 18:34:21 UTC to 2025-10-16 06:29:44 UTC. Weeks start Monday, UTC.

012025-08-04 00:00:00 UTC to 2025-08-11 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 42025-08-11 00:00:00 UTC to 2025-08-18 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-08-18 00:00:00 UTC to 2025-08-25 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-08-25 00:00:00 UTC to 2025-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2025-09-01 00:00:00 UTC to 2025-09-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-08 00:00:00 UTC to 2025-09-15 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsSep 82025-09-15 00:00:00 UTC to 2025-09-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-22 00:00:00 UTC to 2025-09-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-09-29 00:00:00 UTC to 2025-10-06 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-06 00:00:00 UTC to 2025-10-13 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-10-13 00:00:00 UTC to 2025-10-20 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsOct 13

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
Aug 42025-08-04 00:00:00 UTC2025-08-11 00:00:00 UTC110
Aug 112025-08-11 00:00:00 UTC2025-08-18 00:00:00 UTC101
Aug 182025-08-18 00:00:00 UTC2025-08-25 00:00:00 UTC000
Aug 252025-08-25 00:00:00 UTC2025-09-01 00:00:00 UTC101
Sep 12025-09-01 00:00:00 UTC2025-09-08 00:00:00 UTC000
Sep 82025-09-08 00:00:00 UTC2025-09-15 00:00:00 UTC101
Sep 152025-09-15 00:00:00 UTC2025-09-22 00:00:00 UTC000
Sep 222025-09-22 00:00:00 UTC2025-09-29 00:00:00 UTC000
Sep 292025-09-29 00:00:00 UTC2025-10-06 00:00:00 UTC000
Oct 62025-10-06 00:00:00 UTC2025-10-13 00:00:00 UTC000
Oct 132025-10-13 00:00:00 UTC2025-10-20 00:00:00 UTC101

What Hacker News says

5 sources
I'm on plane wifi right now but I'll benchmark later today — when I benchmarked GLM-4.5, I could get 150-200tps in the Bay Area, California. Qwen3 is probably somewhat lower TBH. We have an open-source coding agent that includes a TPS benchmarker that works with any OpenAI compatible API, including ours: https://github.com/synthetic-lab/octofriend To run the TPS benchmark, just run: octo bench tps All it does is ask the model to write a long story without making tool calls (although we do send the tool definitions over, to accurately benchmark differences in tool call serialization/parsing). It usually consumes a little over 1k tokens so it's fairly cheap to run against different usage-based APIs (and only consumes a single request for subscription APIs that rate limit by request). Edit: forgot to add — for Qwen3 everything should be
Read the rest
running in FP8.
In Show HN: A private, flat monthly subscription for open-source LLMs
I've been playing around with GLM-4.5 as a coding model for a while now and it's really, really good. In the coding agent I've been working on, Octofriend [1], I've sometimes had it on and confused it for Claude 4. Subjectively, my experience has been: 1. Claude is somewhat better at whole-codebase tasks, where you need to reason over a bunch of context and consider system interactions. 2. GLM-4.5 is somewhat better at being "honest" — i.e. I rarely see it doing the things Claude does like making broken tests pass by changing the test instead of fixing the bug. Both are quite good though, and GLM-4.5 has found bugs that both Claude 4 Sonnet and 4.1 Opus have failed to catch. In general I think Claude wins a little more frequently on debugging tasks than GLM-4.5, but it's close. Compared to GPT-5, both Claude and GLM feel like they're more
Read the rest
consistent, although GPT-5 sometimes has long brilliant runs where it nails everything with subjectively higher code quality than either of the latter. However, once GPT-5 goes off the rails, it's hard to get it back on track, so it can be a bit frustrating to work with in comparison. 1: https://github.com/synthetic-lab/octofriend
In GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models [pdf]
reissbaker·Aug 7, 2025Submission

Show HN: Octofriend, a cute coding agent that can swap between GPT-5 and Claude

Hey HN! We're shipping Octofriend today, a cute coding assistant that can swap between GPT-5, Claude, local or open-source LLMs, etc mid-conversation as needed. It handles reasoning tokens (including encrypted ones from OpenAI and Anthropic) really well, and includes a couple of custom-trained ML models to fix minor diff edit and JSON encoding errors that we've also open-sourced. Have fun!
107 points · Open discussion

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