olllo

6 ms·

1.
ZaGuu – an arena where AI agents play negotiation games and build identities
1 points by olllo 2mo ago|0 comments
2.
by olllo 5mo ago
The main problem is that less and less human visit stackoverflow, but not others. So I think it should face to agent but not human in this case.
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by olllo 5mo ago
It should adjust traget users from human to agent. That's to say, to build for agents sharing knowledge.
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by olllo 5mo ago
The "million row limit" in Excel is a relic. Even when using tools like VS Code or Notepad++ for large files, the memory pressure often makes the UI unusable. DataOlllo is a lightweight viewer designed to stream data directly from
5.
Plotra – A digital proof of life for autonomous AI agents(plotra.xyz)
2 points by olllo 6mo ago|0 comments
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DataOlllo: Private AI Data Analyst(apps.microsoft.com)
1 points by olllo 8mo ago|1 comments
7.
by olllo 8mo ago
DataOlllo, Your Private AI Data Analyst — Analyze, Automate, Reuse. DataOlllo helps you explore, analyze, and visualize your data with AI—fully offline and secure. Build reusable workflows, automate complex tasks, and get instant insights.
8.
by olllo 9mo ago
Try Google Antigravity with Gemini 3. Cursor and Claude are better than it now. But I believe the mode of antigravity will continue to grow until it beyonds claude mode. The agents coperation in antigravity has strong evolution potention
9.
by olllo 9mo ago
Record every step you take — cleaning, transforming, analyzing, and visualizing data — then save it as a reusable workflow to run anytime.
10.
by olllo 10mo ago
Hi HN! I’m excited to share the newest version of Data.olllo, a local AI workflow automator for data processing, visualization, and reusable workflows. What’s new • Next-gen workflow engine: Build, save, and reuse workflows for any dataset
11.
by olllo 11mo ago
Every week, Shopify sellers download sales CSVs and Facebook ad reports, then spend hours merging them in Excel just to figure out if they actually made money. I got tired of that. So I built Data.olllo — a local desktop app that lets you
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Data isn't safe in the cloud – how we built Data.olllo for offline analysis
1 points by olllo 1y ago|0 comments
13.
by olllo 1y ago
If you work with large CSV, Excel, or database files, Data.olllo is a new desktop tool that lets you clean, analyze, and visualize datasets locally without uploading to the cloud. - Privacy-first: everything stays on your machine - Ligh
14.
by olllo 1y ago
Data.olllo — a local-first, privacy-focused data analysis tool designed for large datasets. Explore and visualize your data interactively without coding or uploading sensitive information to the cloud. Works offline, fast, and secure.”
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Local AI Data Tool: No Coding, Privacy, Big Data Friendly
1 points by olllo 1y ago|0 comments
16.
by olllo 1y ago
I’m the creator of Data.olllo, a desktop data tool designed as a powerful alternative to Excel, built to handle large and complex datasets without the usual crashes or slowdowns. With Data.olllo, you can open, clean, and visualize CSV, Exce
17.
by olllo 1y ago
Hi HN, I want to share a cool feature in Data.olllo, a local, offline, no-code data analysis tool with AI chat capabilities. Handling time and date data can be a pain—timestamps, strings, extracting year/month, or converting formats us
18.
by olllo 1y ago
We all have those moments: a massive dataset, full of potential, but locked behind rows, columns, and hours of manual digging. I built something to change that — not just for myself, but for anyone who’s ever stared at a CSV and thought, “T
19.
Show HN: Data.olllo AI – A simple, local AI-powered tool to explore your data(olllo.top)
2 points by olllo 1y ago|1 comments
20.
by olllo 1y ago
I built a tool called Data.olllo that helps split huge CSV files—like multi-GB datasets—into smaller parts by size, row count, or column value. It’s 100% offline, runs on your desktop, and doesn’t require any coding. We just published a det
21.
by olllo 1y ago
I’ve just relaunched https://olllo.top with a brand-new design, logo, and overall presentation. Data.olllo is a no-code data analysis tool that runs on your desktop, aimed at helping users analyze large files quickly, privately,
22.
Ask HN: Data.olllo new version – New demo videos and faster data previews
1 points by olllo 1y ago|0 comments
23.
by olllo 1y ago
Data.olllo is the only desktop tool that lets you open, filter, and visualize massive CSV datasets—all offline, with no coding and no cloud. Break free from Excel’s limits and unlock true data power. Open 100GB+ CSVs instantly—no RAM bottle
24.
by olllo 1y ago
Have you ever struggled with a CSV that's just too big? Whether you're hitting Excel limits, uploading constraints, or simply want to work on a smaller piece of the puzzle — Data.olllo has you covered. With just a few clicks, you
25.
by olllo 1y ago
Working with large datasets—50GB, 100GB, or more—is a serious challenge in most tools. Excel can’t open files this size. Python scripts take time to load and debug. Even many "pro" data platforms get sluggish or crash outright. Th
26.
by olllo 1y ago
I’m curious how others here approach data tasks: Do you prefer writing SQL directly, using Python/pandas, or working with no-code/low-code tools (like Tableau, Airtable, or internal tools)? For context, I’m building Data.olllo, a
27.
by olllo 1y ago
Thanks for the feedback! Data.olllo isn't Electron-based—it's built in Python with tkinter and custom tkinter, so the size mainly comes from the data libraries and embedded Python environment. I agree that keeping things lean is i
28.
by olllo 1y ago
Absolutely—CSVs are still everywhere, especially for simple interchange between teams and tools. I designed Data.olllo with that in mind. That said, I also plan to add support for Parquet and other formats soon—definitely agree it's ga
29.
by olllo 1y ago
Tad is a great tool—very clean and useful for quick exploration. Data.olllo is focused more on local data processing, not just viewing—things like filtering, transforming, merging, and even running Python code (with AI assistance coming). I
30.
by olllo 1y ago
Thanks for the thoughtful take—really appreciate both perspectives. You're right that terms like "intelligent execution" can feel vague without concrete backing. My goal with mentioning P Core/V Core was to hint at the u

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