The Futurist

Describe a dashboard in plain English. Get one that actually works.

“Natural language BI is the beginning of the end for analyst roles that primarily translate business questions into SQL. What survives and thrives is the higher-order work of asking the right questions — not writing the queries to answer them.”

Composable data skills so your AI agents always understand your business

“Bundling business context alongside data access is the right abstraction for the agentic era. Skills as reusable primitives that multiple agents can share is the architecture that survives as tooling matures.”

Write a chart the same way you write a SQL query — from Hadley Wickham

“The convergence of AI-generated SQL and visualization is inevitable. When LLMs can write VISUALIZE statements as naturally as SELECT statements, the distinction between 'data pipeline' and 'dashboard' disappears. ggsql is building the primitive that makes that future possible.”

GPU-accelerated OCR server hitting 1,200 pages/sec with TensorRT and PP-OCRv5

“The combination of throughput (1,200 imgs/s), latency (11ms), and 25-class document layout understanding positions TurboOCR as infrastructure for the document digitization wave. Billions of pages of legacy documents need to enter AI systems — the bottleneck right now is extraction speed and structure understanding. TurboOCR addresses both. Open-source with Docker deployment means it can scale wherever compute exists.”

Natural language to live investing dashboards — backtests, macro, and models in seconds

“Democratizing quantitative finance is a decade-long trend that's now accelerating rapidly. R0Y is part of a wave that will eventually let retail investors run the kind of macro analysis that hedge funds pay analysts six figures to produce. The direction is right even if early versions are imperfect.”

Open-source autonomous BI agent that pulls data, builds dashboards, and takes action

“Anton represents the collapse of the analyst-as-middleman model. When any team member can ask 'show me churn by cohort for Q1 vs Q4 and flag anomalies' and get an interactive chart in seconds, the entire BI stack gets flattened. The companies that embrace this early will move faster than those waiting for Tableau to add the same feature.”

Open-source data catalog that ships as a single binary — with MCP built in.

“MCP-native data catalogs are the beginning of AI agents being able to reason about your entire data estate. Marmot's architecture — lightweight, single binary, open protocol — is the right foundation for the next wave of agentic data tools. This could become the Prometheus of data catalogs.”

Open-source AI agent that reasons, queries, charts, and acts on your data

“The BI analyst role as currently defined will be largely replaced by tools like Anton within 3 years. The real question is whether MindsDB can keep up with foundation model capabilities being baked into competing products from Databricks, Snowflake, and dbt. First-mover advantage matters here.”

Google's 200M-param foundation model for time-series forecasting, now open-source

“Time-series forecasting is the last major ML category where LLM-style foundation models haven't yet displaced domain-specific approaches. TimesFM 2.5 is the clearest signal yet that the transfer learning revolution is arriving in structured data. In two years, training a forecasting model from scratch will feel as anachronistic as training an NLP model from scratch in 2023.”

Google's zero-shot time series forecasting model, now with 16k context

“Time-series is the dark matter of AI applications — it's everywhere (supply chains, energy grids, healthcare) but historically required expensive specialist models. Foundation models democratizing this could unlock huge productivity in industries that have been stuck with Excel.”