Unify

AI

llm routing

SHOW HN2024

298points
126comments
#208of 3,515 in 2024
Top 6%of 2024 by points

How HN took it

CuriousMostly questions and neutral comments

9 positive, 26 neutral or asking, 2 mixed, 12 critical, out of 49 comments about the project. Thread score +0.07.

Idea: 5 for, 7 againstPricing: 0 for, 2 againstExecution: 0 for, 2 againstPrivacy: 1 for, 0 againstDocs: 1 for, 0 against

The thread, comment by comment

Each row is a top-level comment and its replies, in HN's order. Select a cell to open that comment on HN.

positive neutral or mixed critical about another commenter or something else the maker

What HN said

What people liked

  • Useful idea for scaling LLM apps and cost control

    From 2 comments
    • I wonder, have you also done any work on actually improving performance by enhancing the prompt or something similar? I always thought a product like this that could empirically…
      aleksiy123 on HN
    • This is interesting! Sort of a super mixture of experts model. What's the latency penalty paid with your router in the middle? The pattern I often see is companies prototyping on…
      lovesdogsnsnow on HN
  • Well executed product

    From 1 comment
    • Very well executed. Congrats. Signed up. The chatbot providers will enjoy seeing how they stack up against each other. Your data/analytics/alerts will be valuable to them.…
      billylo on HN

Objections

  • Prompt changes across models make treating LLMs as interchangeable bogus

    From 1 comment
    • Sorry but I hate stuff like this We spend $30k+ per month with OpenAI and Anthropic Even minor prompt changes between minor model versions can have huge differences in output We…
      weird-eye-issue on HN
  • No clear business model; no margin taken yet

    From 3 comments
    • > Pricing-wise, we charge the same rates as the backend providers we route to, without taking any margins. We also give $50 in free credits to all new signups. What's your plan…
      jefftk on HN
    • This is interesting! Sort of a super mixture of experts model. What's the latency penalty paid with your router in the middle? The pattern I often see is companies prototyping on…
      lovesdogsnsnow on HN
    • Since you take no extra charges from the end user, the presumption is you would charge LLM's for giving them traffic?
      thomasfromcdnjs on HN
  • Router adds latency to time-to-first-token

    From 2 comments
    • This is interesting! Sort of a super mixture of experts model. What's the latency penalty paid with your router in the middle? The pattern I often see is companies prototyping on…
      lovesdogsnsnow on HN
    • So the neural scoring introduces ~20ms latency, but this only impacts time-to-first-token (not inter-token-latency). When using our public endpoints there is an additional ~150ms…
      danlenton on HN

Requests

  • Local or on-prem deployment

    From 2 comments
    • It's a good options to test local models I guess.
      Sontho on HN
    • actually we don't support local deployment quite yet, it's all run in our server. However, fully local deployment is on the roadmap, stay tuned!
      danlenton on HN
  • Support for bring-your-own API keys

    From 1 comment
    • Another point here is that some users prefer to use their own API keys for the backend providers (a feature we're releasing soon). Any "discounts" would then be harder to…
      danlenton on HN

Questions

  • How the company will make money long term

    From 2 comments
    • > Pricing-wise, we charge the same rates as the backend providers we route to, without taking any margins. We also give $50 in free credits to all new signups. What's your plan…
      jefftk on HN
    • This is interesting! Sort of a super mixture of experts model. What's the latency penalty paid with your router in the middle? The pattern I often see is companies prototyping on…
      lovesdogsnsnow on HN
  • Whether using GPT4 as judge for training labels is allowed

    From 1 comment
    • > It is trained in a supervised manner on several open LLM datasets, using GPT4 as a judge. Does this mean GPT4 predictions are used as labels? Is that allowed?
      iknownthing on HN

Alternatives named

  • OpenRouter

    From 1 comment
    • definitely similar! I'm a fan of Alex and his work on OpenRouter :) Some of the main differences would be: - we focus on performance based routing, optimizing speed, cost and…
      danlenton on HN
  • Semantic router

    From 1 comment
    • Thanks for sharing! These are useful toos, but they are a bit different, more based on similarity search in prompt space (a bit like semantic router:…
      danlenton on HN
  • Mixture of experts models

    From 2 comments
    • Isn't this what a MoE LLM does already?
      3abiton on HN
    • I wonder, have you also done any work on actually improving performance by enhancing the prompt or something similar? I always thought a product like this that could empirically…
      aleksiy123 on HN

Category, keywords, summaries and labels on this page were made by AI (Thread Reader v2) and not checked by hand. Each point links to the comments it came from.

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