We process podcast transcripts and other datasets, use that to match over time based on similarity in meaning (or optionally exact and fuzzy matches if desired), then feed matching excerpts (match + surrounding context) into an LLM to score whether the speaker / writer agrees with {customizeable_poll_query_and_scoring}
:)
Note: similar to how DeepSeek started (or pandas or pick one of the many data science innovations), we actually are a quant investing software and data company. As a result of that, everything is time-series.
charliereese · 3h ago
Is Elon Musk still considered a genius by the public? Not anymore—at least, not according to a +70,000 mention time-series poll run by ForecastOS using podcast transcripts and LLMs.
:)
Note: similar to how DeepSeek started (or pandas or pick one of the many data science innovations), we actually are a quant investing software and data company. As a result of that, everything is time-series.