Turn questions into insights instantly with AI and billions of rows of data on crypto, sports, and everything in between📊
Start with our Prediction Markets Base to replicate this
Start with our Prediction Markets Base to replicate this
Start a Base to prepare Baselight AI with all the knowledge needed to chat about a topic. You can also use an Analyst to generate with a single click that analysis you were looking for.
Start a Base to prepare Baselight AI with all the knowledge needed to chat about a topic. You can also use an Analyst to generate with a single click that analysis you were looking for.
Link to the post below 👇
Link to the post below 👇
🚣 Rows: 316,215,218,486 (▲ +6.8 B)
⬛ Tables: 306,664 (▲ +70)
💽 Datasets: 57,356 (▲ +21)
All of this data is waiting to be analysed, and this is just a few sentences away!
🚣 Rows: 316,215,218,486 (▲ +6.8 B)
⬛ Tables: 306,664 (▲ +70)
💽 Datasets: 57,356 (▲ +21)
All of this data is waiting to be analysed, and this is just a few sentences away!
Designed for analysts, engineers, and AI agents working across complex datasets.
Designed for analysts, engineers, and AI agents working across complex datasets.
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!
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!
Encourage team collaboration through editable and auditable shared logic.
Encourage team collaboration through editable and auditable shared logic.
Baselight AI translate complex questions into precise, verifiable results.
Baselight AI translate complex questions into precise, verifiable results.
Each response is built from real tables, public datasets, or your own private sources.
Each response is built from real tables, public datasets, or your own private sources.
Keep everything secure and auditable while expanding what your team can discover.
Keep everything secure and auditable while expanding what your team can discover.
It can diagnose your errors, suggest improvements, correct the code, and rerun it all for you. Take a look below!
It can diagnose your errors, suggest improvements, correct the code, and rerun it all for you. Take a look below!
Here’s this week’s data update:
• Rows: 292,209,473,330 (+26B)
• Tables: 306,25 (+140)
• Datasets: 57,116 (+53)
• Storage: 39.2 TB (+5 TB)
That’s 290B+ rows of data ready for querying, charting, and AI.
Here’s this week’s data update:
• Rows: 292,209,473,330 (+26B)
• Tables: 306,25 (+140)
• Datasets: 57,116 (+53)
• Storage: 39.2 TB (+5 TB)
That’s 290B+ rows of data ready for querying, charting, and AI.
Rows: 266,772,999,318 (+7B)
Tables: 306,065 (+3K)
Datasets: 57,063 (+1K)
Storage: 34.2 TB (+2.2TB)
Rows: 266,772,999,318 (+7B)
Tables: 306,065 (+3K)
Datasets: 57,063 (+1K)
Storage: 34.2 TB (+2.2TB)
You can solve that today by connecting to our MCP server. Time to upgrade your AI results by grounding them in real, structured data.
You can solve that today by connecting to our MCP server. Time to upgrade your AI results by grounding them in real, structured data.
Now sprinting toward 300B.
This week:
• 259,352,999,980 rows (+15B)
• 302,646 tables (+5K)
• 55,928 datasets (+3K)
• 32 TB storage (+3.4TB)
Baselight keeps eating data for breakfast! 🥓 🧇 🥞
Now sprinting toward 300B.
This week:
• 259,352,999,980 rows (+15B)
• 302,646 tables (+5K)
• 55,928 datasets (+3K)
• 32 TB storage (+3.4TB)
Baselight keeps eating data for breakfast! 🥓 🧇 🥞
Our CTO Alfonso de la Rocha will be at Zebu Live to pitch our vision of a universal hub for structured data and how we’re supercharging LLMs with it.
Stop by, say hi, and let’s talk data x AI.
Our CTO Alfonso de la Rocha will be at Zebu Live to pitch our vision of a universal hub for structured data and how we’re supercharging LLMs with it.
Stop by, say hi, and let’s talk data x AI.
• Datasets: 52,821 (▲ +30)
• Tables: 297,542 (▲ +72)
• Rows: 243,779,762,400 (▲ +11B)
• Storage: 28.6 TB (▲ +2.8 TB)
New big additions:
• FRED: clean macro time series from the St. Luis Fed
• Doma Testnet: trader-first domain listings and offer data from a new DomainFi network
• Datasets: 52,821 (▲ +30)
• Tables: 297,542 (▲ +72)
• Rows: 243,779,762,400 (▲ +11B)
• Storage: 28.6 TB (▲ +2.8 TB)
New big additions:
• FRED: clean macro time series from the St. Luis Fed
• Doma Testnet: trader-first domain listings and offer data from a new DomainFi network
Don’t mind us, just making room for bAI
Don’t mind us, just making room for bAI
• 232,012,235,812 Rows (▲ +22 B)
• 297,470 Tables (▲ +42)
• 52,791 Datasets (▲ +16)
• 25.8 TB Storage (▲ +3 TB)
Dig in. The data’s fresh.
• 232,012,235,812 Rows (▲ +22 B)
• 297,470 Tables (▲ +42)
• 52,791 Datasets (▲ +16)
• 25.8 TB Storage (▲ +3 TB)
Dig in. The data’s fresh.
Institutional-grade data is now programmable.
So what does this mean? 🧵
Institutional-grade data is now programmable.
So what does this mean? 🧵
• Faster load times
• New data catalog
• Quota system incoming
• bAI going from prompt to insight in seconds
Catch up on everything in the latest Letters from the CTO 👇
https://baselight.ai/making-baselight-go-fast/
• Faster load times
• New data catalog
• Quota system incoming
• bAI going from prompt to insight in seconds
Catch up on everything in the latest Letters from the CTO 👇
https://baselight.ai/making-baselight-go-fast/
This week on Baselight:
• 202,120,878,979 rows (+22B)
• 297,348 tables (+283)
• 52,744 datasets (+220)
• 21 TB storage used (+1.4 TB)
More data, more insights. What will you build?
This week on Baselight:
• 202,120,878,979 rows (+22B)
• 297,348 tables (+283)
• 52,744 datasets (+220)
• 21 TB storage used (+1.4 TB)
More data, more insights. What will you build?