No benchmarks, no info on which models are used, ai generated video, just a signup page with nothing else. Anyhow, this kinda reminds me of that quote about architecture: "We replaced our monolith with micro services so that every outage could be more like a murder mystery."
It's basically trying to replicate OpenRouter, which works pretty well and has a lot of nice features to abstract away any single provider, such as failover, metering, autoswitching, etc. It's actually a really smart infrastructure abstraction. I just wish this were solving an actual problem rather than being a fairly transparent attempt to say something approximating, "Hey VCs, OpenRouter just became a unicorn but I…
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
#42> Fable-level results at 1/3 the cost using open-weight models But we get ~$2500/mo worth of Fable credits for $200/mo on Anthropic pan? I'm still confused why people (who don't have to use API billing) are chasing open weight models based on cost.
You may want to consider the incomes of developers outside the US, students, unemployed. $200/month is a lot to a lot of people.
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#43> Fable-level results at 1/3 the cost using open-weight models But we get ~$2500/mo worth of Fable credits for $200/mo on Anthropic pan? I'm still confused why people (who don't have to use API billing) are chasing open weight models based on cost.
You may want to consider the incomes of developers outside the US, students, unemployed. $200/month is a lot to a lot of people.
https://artificialanalysis.ai/agents/coding-agents#artificia...
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#44No single signin. Privacy policy allows training. No try it first without credit card. It's a good idea, but this looks premature.
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#45https://www.ycombinator.com/companies?query=tracerml
I don't see it?
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#46> Fable-level results at 1/3 the cost using open-weight models But we get ~$2500/mo worth of Fable credits for $200/mo on Anthropic pan? I'm still confused why people (who don't have to use API billing) are chasing open weight models based on cost.
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This would be like trying to outlaw Linux or peer-to-peer file sharing. It's technically possible to write and pass a law, but it's basically impossible to enforce it.
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#47No benchmarks, no info on which models are used, ai generated video, just a signup page with nothing else. Anyhow, this kinda reminds me of that quote about architecture: "We replaced our monolith with micro services so that every outage could be more like a murder mystery."
"microservices turn function calls into distributed computing problems"
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#48"Backed by YCombinator" https://www.ycombinator.com/companies?query=tracerml I don't see it?
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#49Earlier quoted context omitted.
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> When they are successful at making those illegal/inaccessible This would be like trying to outlaw Linux or peer-to-peer file sharing. It's technically possible to write and pass a law, but it's basically impossible to enforce it.
Re: Show HN: Echo – Fable-level results at 1/3 the cost using open-weight models
#50This reminds me on OpenRouters report that combining multiple different models gave comparable performance to Fable 5. I think this approach has lots of potential. Maybe OpenAi was ahead of its time with GPT-5 (it being a router to different models rather than just being one new model)
You might be interested in a project that I'm working on, which is kind of like OpenRouter Fusion, but instead of waiting for all models to synthesize, we stream the best model immediately and background the rest. The background models then reconcile with an emoji reaction and optional reply. It gets similar results to Fusion and is a lot faster! There's a free version that leverages open weight models here: http://p…