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    Raindrop AI Launches Rd-Signal-2 Frontier Classifier

    Ben Hylak announced the model as 1600x cheaper than GPT 5.6 Sol with a new custom API.

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    11 Sources, 50d ago, first seen 50d ago

    TLDR

    Ben Hylak, co-founder and CTO of Raindrop AI, posted that the company introduced rd-signal-2, a frontier classification model. He stated it matches leading model performance at 1/1600th the cost of GPT 5.6 Sol. The announcement covered free trials inside the Raindrop AI platform plus a new API for training and hosting custom classifiers with zero data retention. Replies from investors and researchers noted the model's efficiency and self-improving potential. Hylak shared follow-up posts about a robot figure and post-launch team dinners.

    Combined views

    209.9K

    11 Sources, first seen 50d ago

    Combined views

    209.9K

    11 Sources, first seen 50d ago

    1.4K likes
    1.4K likes
    79 comments
    1K saves
    150 reposts

    Sentiment

    Positive——Negative

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    79 comments
    1K saves
    150 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    11 Sources

    @benhylakintroducing rd-signal-2: a frontier classification model that is 1600x cheaper than GPT 5.6 Sol. free to try in @raindrop_ai, and available via a new API for training/hosting custom classifiers with Zero Data Retention.
    @soleio@benhylak @raindrop_ai “Stop paying for judges. Start using signals.” :chefs_kiss:
    @sdianahucool self-improving classifier that is super efficient
    @adamghaidaspoiler alert: it works
    @giansegato@benhylak @raindrop_ai sweeet, great job! adaptive online observability is basically table stakes at this point
    @bentossellRT @benhylak: introducing rd-signal-2: a frontier classification model that is 1600x cheaper than GPT 5.6 Sol. free to try in @raindrop_ai…

    11 Sources

    @benhylakintroducing rd-signal-2: a frontier classification model that is 1600x cheaper than GPT 5.6 Sol. free to try in @raindrop_ai, and available via a new API for training/hosting custom classifiers with Zero Data Retention.
    @soleio@benhylak @raindrop_ai “Stop paying for judges. Start using signals.” :chefs_kiss:
    @sdianahucool self-improving classifier that is super efficient
    @adamghaidaspoiler alert: it works
    @giansegato@benhylak @raindrop_ai sweeet, great job! adaptive online observability is basically table stakes at this point
    @bentossellRT @benhylak: introducing rd-signal-2: a frontier classification model that is 1600x cheaper than GPT 5.6 Sol. free to try in @raindrop_ai…