@Dropbox According to Dropbox, TextQL's multi-source agent lets their FP&A team query Databricks, Oracle, and Tableau as if they were a single system
read more here: textql.com/customers/drop…
Seat-based SaaS stocks are tanking. Wall Street is scared. We decided to speed it up.
Introducing $0/ Seat Dashboards by TextQL
$0/viewer seats
$0/editor seats
$0/admin seats
Unlimited seats. Forever.
Our agents build dashboards directly on your Datawarehouses, APIs, MCPS.
Even on top of Tableau and Power BI. Dashboards have always been built.
From now on, they're generated. Build a dashboard and get $100 in credits
Link below:
🚨BREAKING🚨
Zohran Mamdani will FORCE all NYC companies to fire any consultant charging $500/hr to build a data strategy deck. "To build a city in which all New Yorkers can thrive, we cannot allow McKinsey to sell us 47 slides that say 'become data-driven.'"
Most teams: Paying for Snowflake but only 3 people can query it
TextQL: 3-minute setup, entire team gets self-service access
New tutorial covers key-pair auth, schema mapping, the whole thing.
Connect once. Ask questions forever.
Link below.
Most teams: 3 days to write SQL queries for basic insights
TextQL + PostgreSQL: 3 minutes
New tutorial shows the setup. Neon, Supabase, AWS RDS—doesn't matter.
Connect once. Ask questions forever.
Link below.
We're throwing a happy hour during #JPM2026.
Monday, Jan 12. 5:30pm. Neo Office, SF.
Enterprise data and AI folks—come talk shop over drinks. No pitch decks allowed.
Link Below.
santa came early: TextQL compute is now 80% cheaper
turns out when AI agents query your warehouse 10x more
someone has to pay for it. we decided it shouldn't be you
two updates shipped this week:sandcastle lifecycles down to 4 hours
→ 80% lower sandbox costs token cache hit rate up from 40% to 52%
→ 17% lower token costs
net result: 30%+ reduction in total costs for most customers
our job is to drive the cost of data-driven decisions toward zero.
every price cut is a feature
@FixedIncQuant just think of a computer your agent can use to accomplish more complex tasks. ex, writing python, storing the output in s3 and returning the blob to the user
Most AI sandboxes are built to run code
We needed one built to wrestle with petabytes of enterprise data across dozens of sources. Here's what we learned building Sandcastles
(1/7)
7. What's next. Collapsing the query engine into the sandbox (60% latency reduction estimates). Persistent sandboxes that become live applications instead of spinning down. Fine-grained network permissions so agents can call external APIs without binary "isolated vs connected" tradeoffs.
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4K Followers 2K FollowingFounder of @HightouchData - bringing together marketing, data, and creative with AI.
Previously early @segment @lotterydotcom @hubspot
750 Followers 1K FollowingPreviously Data/Analytics leader @Opendoor and @altxyzofficial
Transforming how companies work and their data using AI for AI with https://t.co/iRGUNdztkX
591 Followers 4K FollowingProduct design principal @wisetechglobal | Multidisciplinary product design leader. Alum of Bupa, William Hill + more. I make great products happen.