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Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

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Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#222
post #120

"Backed by YCombinator" https://www.ycombinator.com/companies?query=tracerml I don't see it?

You're right to be skeptical; I saw a totally fake case of this just yesterday. But in the present case, they're just a startup in the current batch.

Thank you! Hard to trust things these days.

Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#223
post #196

A "Message Echo" textbox that makes it look like you can get a response to a prompt without logging in, only to redirect to the sign-up page. Such a classic dark pattern - and such a sure way to get me to leave your site immediately. I've literally taken one step on your website - the one your site design invited me to take - and immediately got tripped up. I'm not coming back.

removing it now

Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#224
post #196

A "Message Echo" textbox that makes it look like you can get a response to a prompt without logging in, only to redirect to the sign-up page. Such a classic dark pattern - and such a sure way to get me to leave your site immediately. I've literally taken one step on your website - the one your site design invited me to take - and immediately got tripped up. I'm not coming back.

removing it now

Thanks.

Since you are fixing dark patterns, can you also put data privacy links somewhere other than on the gdpr banner?

Once clicked is impossible to see them, or at least I could not find them.

Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#227

Grandiose claims that are hardly backed up at all. I find that very off-turning!

Sounds very scam-like.

Literally promising frontier-equal results but at 1/3 price, i.e. cheaper than Kimi K3?

Doesn't offer any real benchmarks or explanation of how this magic trick is accomplished. No credible team or notable scientists behind it...

Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#228
i have being using anthropic opus 4.8 and fable 5 for some time now. i also tried latest openai models.

in short, all of them are token diarrhea. Annoyingly logorrheic. they output so much useless stuff that it comes to the point that it makes me thing if that's not on purpose.

it was not because of price, but quality, I started testing other models and honestly, glm 5.2 is FAR SUPERIOR than fable 5 in every aspect. It comes to a surprise when glm 5.2 does not finish the task successfully. Kimi k2.7 does require a bit more of guidance but still better experience than opus 4.8. I have not yet the chance of trying k3.

openai latest model are.... ridiculously bad at software design and implementation.

(note i am only speaking to the domain of my work which has lots of data analysis, machine learning and software engineering.)

Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#229
I think one of the most interesting takeaways is that model selection may matter more than model size.

The industry has largely focused on building larger models, but your results suggest that intelligently routing requests to the right combination of specialized models can deliver greater gains at a much lower cost.

It also reinforces the idea that weaker models are not necessarily obsolete. They may simply excel in different areas and become much more valuable when combined with others. I'm curious to see whether this still holds for coding and agentic tasks, where choosing the right models is likely much more challenging.

Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models

#230
I found some real flaws: 1. UX problem: Thinking is being shows constantly, it feels like it got stuck there or some network problem. 2. I cant expand or resize the left panel where I type prompts. 3. It doesn't continue last chat, as I asked it to create code but it kept cutting off and then starting from beginning.
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