Most AI analytics products focus on query generation. The harder systems problem is context retrieval: before any LLM writes a single line of SQL. If that retrieval layer is fuzzy, the answer is wrong even when the SQL looks perfect.
Altertable is built around that boundary.
𝙾𝚁𝙳𝙴𝚁 𝙱𝚈 𝚝𝚜 𝙳𝙴𝚂𝙲 𝙻𝙸𝙼𝙸𝚃 𝙽 is one of the easiest ways to accidentally benchmark your storage engine instead of your product.
If metadata can’t prune most files, “recent events” quietly becomes a full-table tax. That’s not a query problem. It’s a layout problem.
There probably won’t be one winning lakehouse table format. #Iceberg, #Delta, #Hudi and #DuckLake make different bets on metadata layout, mutation semantics, and engine interoperability. But what are your boundary conditions at 10k files, realtime ingest, and mixed engines?
Working with @TheDesignCrew on our website was a blast ✨
Seb , Lucas & team took our super complex data infrastructure concepts and turned them into visuals people actually understand.
So grateful and so proud of what we built 🙌
Check it out → https://t.co/8u91wCpM58
@arthurlenoir@AltertableAI Well, if we remove the gperf-generated code it’s not that much, and absolutely worth it! I committed the generated code so anyone can compile without having gperf on their machine. Including CI.
Just 3h today to push a 4000x optimization to an OSS project we use (https://t.co/dBHvC1wmb3).
I didn't do a single line of C++ since 10y. This would have taken me 3 weeks before the AI era. 😅
AI didn’t just speed me up, it changed how I think.
At @AltertableAI we're not just building faster, we’re building differently 🤘
This is the new norm 🚀
@2lr The data section hit especially hard - "If a number changes and nothing in your priorities, resource allocation, or execution changes, that number is trivia."
This is exactly the data platform problem we see. Companies have dashboards full of metrics but don't drive decisions. 💯
Des anciens de Sorare et d’Algolia lancent une startup pour repenser le «data stack» des entreprises à l’aide de l’IA https://t.co/X5yLYM49nl - via @bymaddyness / @AltertableAI
Trois anciens de @Sorare et @algolia lancent @AltertableAI 👀
Leur mission : aider les entreprises à exploiter pleinement le potentiel de leurs données grâce à l’IA.
Levée de fonds réussie avec @20vcFund, @kimaventures et des business angels.
La data en entreprise va se réinventer 👇
https://t.co/hi4fgsh4OL
📊 We’ve spent over a decade stitching together product analytics and BI: adding prettier charts, more tools... and longer pipelines 🤦
But the basics haven’t changed:
· Most data sits idle 💤
· Most questions require context-hopping 🤸
· And dashboards rarely deliver decisions 🤔
We’re moving beyond dashboards: toward always-on data agents that spot trends, suggest actions, and keep you in control.
Read more about our approach: https://t.co/UXJTc5rFfX
😅 After 20 years in software, I’m relearning the craft.
In AI-first development, prompts are code, CI lies, and observability means watching your LLM think.
It’s disorienting... and thrilling!
I wrote about it on our blog: https://t.co/5SxNO45LQG