Oluwole Zacheus

When I started building AURELIA, I thought complexity came from writing more code.

Now I think it comes from something else.

Every time we add a new feature, we also add a new decision.

After months (or years), those decisions become scattered across files, databases, APIs, and people s memory.

Besides making sure your discussion follows the community guidelines, you can approach Product Hunt discussions more strategically and use them to increase your visibility for your personal brand and your product.

A lot of people struggle with their discussions being rejected.
This usually happens to accounts that don t have much interaction history yet.

If I wanted to become more active in Product Hunt discussions, I would try the following:

I was looking through the newly released benchmark comparison, and one thing stood out immediately.
Opus 5 outperforms Fable 5 on many of the benchmarks that matter to me:
* Agentic terminal coding: 43.3% vs 33.7%
* Knowledge work: 1861 vs 1747
* ARC-AGI-3: 30.2% vs
* Computer use: 70.6% vs 66.1%
* Business workflows: 26.0% vs 17.4%

Yet from what I ve seen, the API pricing is also lower than Fable s.
As someone building AI products, that s a pretty interesting combination. Usually when a model takes the lead on benchmarks, it s also the most expensive option.
I m curious about real-world experience though.
Has anyone here already switched from Fable to Opus 5?
* How does it perform on long coding sessions?
* Is the benchmark advantage noticeable in production?
* Any hidden downsides (latency, tool use, context handling, reliability)?
Would love to hear from people who ve actually deployed both.