Over the last year, I’ve talked to hundreds of analysts, researchers, and business folks who all hit the same pain points: 1. “I’m not a programmer, and writing formulas or scripts slows me down.” Most data tools assume you’re comfortable writing formulas or Python scripts. We wanted something that could interpret plain language (“Show me all rows where revenue > 1M and region = APAC”) and just do it, without syntax errors. → https://olllo.top/no-coding-needed 2. “I can’t upload my sensitive data to cloud AI tools because of compliance and privacy concerns.” Many AI analysis tools run entirely in the cloud — which is a deal-breaker if you work in finance, healthcare, government, or just care about privacy. Our approach: everything runs locally. No data leaves your machine. → https://olllo.top/privacy-compliance 3. “I’m constantly frustrated by Excel crashing or freezing on large datasets.” Excel is great until you throw a few million rows at it. We’ve built a GPU-accelerated, memory-optimized backend so you can open multi-GB CSVs in seconds and work without freezes. → https://olllo.top/excel-crash-solution

The result is Data.olllo — a no-code, privacy-first, high-performance desktop app for data analysis and visualization. It runs on Windows & macOS, supports big data formats, and can generate charts/reports with AI — without ever sending your data to the cloud.

Would love feedback from the HN crowd — especially on: - What’s missing for you to trust an AI data tool? - Which integrations/formats are must-have for adoption?