ChartGen AI
Hi HN, I’m the maker of ChartGen AI. Last year, we launched a text-based AI agent called Ada.im. After analyzing thousands of user interactions, we stumbled upon a pattern we hadn't expected: users were constantly trying to paste data rows and ask for visual representations, but the text-based model couldn't handle it well. We realized that for marketers, seeing the trend is more valuable than reading about it. We pivoted that insight into a standalone tool: Drag & Drop: Upload raw CSVs (FB Ads, GA4, TikTok, etc.). Processing: We map the disparate column names into a unified schema. Viz: It…
ChartGen AI launched on January 22, 2026 with 489 votes, #21 of 14,585 launches that month and more than 99% of that year's launches.
In plain words
ChartGen AI is an AI-powered tool that converts raw data into professional charts and visual insights within seconds. Designed for online marketers, it connects multiple data sources including Facebook and TikTok to create actionable graphics that reveal spending patterns and business trends. Users can upload data and instantly generate charts that help optimize ad budgets and identify cost-saving opportunities without manual analysis.
written from the facts on this page · September 2026
From the sources
From the makers of Ada.im, ChartGen AI is an AI Chart Generator that transforms raw data into money-saving insights. It specifically empowers online marketers to connect all different data sources—from Facebook to TikTok—to generate instant visual charts. Stop guessing: see exactly where your budget goes so you can stop wasting your money. Whether you're optimizing ad spend or analyzing business trends, use ChartGen AI to convert your data into actionable graphics in seconds.
ChartGen AI is the #1 free AI chart generator. Create bar, line, pie charts and more in seconds. Upload your data and describe what you need.
In the maker’s words, at launch
Hi HN, I’m the maker of ChartGen AI. Last year, we launched a text-based AI agent called Ada.im. After analyzing thousands of user interactions, we stumbled upon a pattern we hadn't expected: users were constantly trying to paste data rows and ask for visual representations, but the text-based model couldn't handle…
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