Handle billions of rows of data with low latency and consistent performance.
Designed for analysts, engineers, and AI agents working across complex datasets.
@baselightdb.bsky.social
Everyone should be a data analyst. Turn questions into insights instantly with AI and billions of rows of data on crypto, sports, and everything in betweenπ
Handle billions of rows of data with low latency and consistent performance.
Designed for analysts, engineers, and AI agents working across complex datasets.
Still 12 hours left to join our Product Hunt launch. Give Baselight AI a spin and leave your feedback!
www.producthunt.com/products/bas...
Here's the link to our launch in case you want to pass by and give us your love π«Ά: producthunt.com/products/bas...
We are looking forward to your feedback!!
Finding it hard to analyze data with SQL? That changes today with Baselight AI, your data analyst copilot!
Baselight AI lets you extract insights from Baselight datasets (and your own uploads!), audit reasoning, and verify the data used to reach conclusions.
We're launching today on Product Hunt!
Explore queries created by other users and build on proven workflows by forking public queries.
Encourage team collaboration through editable and auditable shared logic.
Save time by querying complex data using simple language.
Baselight AI translate complex questions into precise, verifiable results.
Baselight AI doesnβt guess, unlike many popular LLMs Baselight AI cites real data that you can verify.
Each response is built from real tables, public datasets, or your own private sources.
Analyze your private datasets alongside trusted public data in one seamless workplace.
Keep everything secure and auditable while expanding what your team can discover.
Like writing your own SQL but get tired of decoding and trying to find errors? That's where Baselight's error assistant comes in!
It can diagnose your errors, suggest improvements, correct the code, and rerun it all for you. Take a look below!
Most AI systems still guess. Baselight connects them to real structured data so answers are grounded, verifiable, and live.
See how we are bridging AI and truth π
https://baselight.ai/why-inference-time-data-is-the-future-of-accurate-intelligence/
The data on Baselight keeps growing π
Hereβs this weekβs data update:
β’ Rows: 292,209,473,330 (+26B)
β’ Tables: 306,25 (+140)
β’ Datasets: 57,116 (+53)
β’ Storage: 39.2 TB (+5 TB)
Thatβs 290B+ rows of data ready for querying, charting, and AI.
New week, new data. Baselight is still hungry.
Rows: 266,772,999,318 (+7B)
Tables: 306,065 (+3K)
Datasets: 57,063 (+1K)
Storage: 34.2 TB (+2.2TB)
Using ChatGPT but keep getting hallucinations or answers that don't make sense?
You can solve that today by connecting to our MCP server. Time to upgrade your AI results by grounding them in real, structured data.
Baselight just crossed 250B rows and 300K tables!
Now sprinting toward 300B.
This week:
β’ 259,352,999,980 rows (+15B)
β’ 302,646 tables (+5K)
β’ 55,928 datasets (+3K)
β’ 32 TB storage (+3.4TB)
Baselight keeps eating data for breakfast! π₯ π§ π₯
London, weβre coming your way!
Our CTO Alfonso de la Rocha will be at Zebu Live to pitch our vision of a universal hub for structured data and how weβre supercharging LLMs with it.
Stop by, say hi, and letβs talk data x AI.
New data this week:
β’ Datasets: 52,821 (β² +30)
β’ Tables: 297,542 (β² +72)
β’ Rows: 243,779,762,400 (β² +11B)
β’ Storage: 28.6 TB (β² +2.8 TB)
New big additions:
β’ FRED: clean macro time series from the St. Luis Fed
β’ Doma Testnet: trader-first domain listings and offer data from a new DomainFi network
New banner, new era
Donβt mind us, just making room for bAI
Baselight is coming to ChatGPT sooner than you think...
14.10.2025 16:45 β π 0 π 0 π¬ 0 π 0bAI
soon...
You what is annoying when using LLMs? Hallucinations.
You know what isn't annoying when using LLMs? Baselight's MCP server.
Structured data analysis limits hallucinations and gives you real facts. Take at our MCP docs below π
https://baselight.ai/docs/connecting-to-the-baselight-mcp-server/
bAI π
11.10.2025 07:06 β π 0 π 0 π¬ 0 π 0Another week, another mountain of new data on Baselight!
β’ 232,012,235,812 Rows (β² +22 B)
β’ 297,470 Tables (β² +42)
β’ 52,791 Datasets (β² +16)
β’ 25.8 TB Storage (β² +3 TB)
Dig in. The dataβs fresh.
Dive into the full announcement and start exploring the data today:
π baselight.ai/the-gold-sta...
π‘ Want early access to Baselight AI, custom dashboards or premium bundles? Reach out at hello@baselight.ai
All of this lives inside Baselightβs open analytics ecosystem with over 230 billion rows and 52,000+ datasets of structured data, across chains, sectors, and research domains.
No API bottlenecks. No gatekeeping. Just data that works.
Use cases include:
β
Asset management
β
Quantitative research
β
Structured product design
β
DeFi risk modeling
β
Regulatory reporting
β
Trading dashboards
This is built for the workflows institutions need today.
This isnβt a static feed.
All datasets are now structured, SQL-native, and live on Baselight.
That means you can:
β’ Benchmark portfolios
β’ Backtest index performance
β’ Model yield strategies
β’ Combine with onchain and offchain data
β’ Feed into AI agents or dashboards
CoinDesk Indices & Data powers some of the worldβs largest digital asset products.
With this integration, you can now query and analyze:
β’ Top 200 assets by market cap
β’ CoinDesk(CD) 5, CD20, CD80 and CD100
β’ ETH staking yields (CESR)
β’ ETH total return index (ETXTR)
β’ CDOR stablecoin rate
We have partnered with CoinDeskMarkets & CoinDesk Data to bring the industryβs most trusted crypto benchmarks, rates, and market data into a fully composable analytics environment!
Institutional-grade data is now programmable.
So what does this mean? π§΅
Baselight just got way faster β‘οΈ
β’ Faster load times
β’ New data catalog
β’ Quota system incoming
β’ bAI going from prompt to insight in seconds
Catch up on everything in the latest Letters from the CTO π
https://baselight.ai/making-baselight-go-fast/
The data just keeps growing π
This week on Baselight:
β’ 202,120,878,979 rows (+22B)
β’ 297,348 tables (+283)
β’ 52,744 datasets (+220)
β’ 21 TB storage used (+1.4 TB)
More data, more insights. What will you build?