AI data analyst that saves you 20+ hours a week. Turn messy spreadsheets into structured reports instantly. Talk to your data, cut 90% of the grunt work.
🚀 Just shipped for preview https://t.co/pmm1Mlmkzm - AI data analyst.
Turn messy spreadsheets into leadership-ready reports instantly. No formulas, no SQL - just ask questions in plain English. Talk to your data, cut 90% of the grunt work.
Here is a demo with real retail data:
📈 Weekly sales trends across 3 years of store performance
🏪 Store performance rankings with consistency analysis
🎄 Holiday impact analysis with statistical significance testing
📊 Economic correlation analysis (unemployment + CPI effects on sales)
Hours of manual analysis work done in minutes, with structured insights, charts, recommendations, and data you can immediately share with stakeholders or leadership
@tabwiseai is free to try, Give it a spin, burn my token credits → https://t.co/pmm1Mlmkzm
Shipped @tabwiseai Your AI Data Analyst. Think Cursor for Data Analysis and BI. Add your data, ask for analysis, and get detailed results with charts.
Here is the demo → https://t.co/fXFOCu3Npp
Give it a spin. https://t.co/Jkn6PV4s8U
Trying Fast vs Deep analysis in @tabwiseai, giving users more control over analysis mode,
Fast mode runs light models for quick insights.
Deep mode brings in the heavy hitters (Claude, GPT-5 soon?) for rich, structured analysis.
Not every question needs a rocket engine, but some do!
Ready for GPT-5? Let’s bring it 🚀
In July alone, I edited 110,000+ lines of code with AI.
Got curious and pulled my own @cursor_ai usage CSV.
Took it to the AI data analyst I built and asked a few questions about my coding habits.
Here’s what I found:
– Heavy sessions = 59.2% of costs, but only 25% of sessions
– Top 25% of sessions use 74.9% of all tokens
– Heavy sessions cluster on specific days → intense work spikes
– Peak usage: Monday ($12.77 avg)
– Lowest: Sunday ($2.95 avg)
You should be able to talk to your data.
I got the new @OpenAI oss models running for Tabwise this morning. gpt-oss handles simple analysis well but stays surface-level for now.
Testing, Qwen3 Coder 480B, DeepSeek V3, Llama 4 Maverick Instruct as well for simple tasks. Powered by
@FireworksAI_HQ
Here I picked the model, but ideally, you shouldn’t have to! Tabwise auto-routes based on task depth and latency
I got the new @OpenAI oss models running for Tabwise this morning. gpt-oss handles simple analysis well but stays surface-level for now.
Testing, Qwen3 Coder 480B, DeepSeek V3, Llama 4 Maverick Instruct as well for simple tasks. Powered by @FireworksAI_HQ
Here I picked the model, but ideally, you shouldn’t have to! Tabwise auto-routes based on task depth and latency
Improved context management. The analyst now really understands the data, responses are sharper, more accurate. Probably over engineering it at this point.
It’s been stuck on localhost for too long...