ChartGen AI - Turn data into professional charts with insights in seconds
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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.



Replies
Ada.im
Hi ProductHunt! 👋
I’m Steven Cen, the maker behind ChartGen AI.
Some of you might remember our previous launch, @Ada.im, which hit #1 Product of the Day and Week last September. While analyzing thousands of real users' feedbacks from that tool, we stumbled upon a fascinating pattern: non-technical users weren't just asking for text answers—they were desperate to see their data visualized.
As marketers, we all know the struggle: juggling CSVs from Facebook Ads, Google Analytics, Shopify, and TikTok, trying to piece together where our money is actually going. By the time we build the dashboard, the trend is already over. 🐢
That’s why we built ChartGen AI. We wanted to turn that "turtle-speed" manual reporting into an "owl-eyed" instant insight engine.
For all the online marketers here, this is specifically for you:
Unified Data View: Drag & drop your ad spend data from any channel.
Visualize the Journey: See exactly how every ad dollar converts across 30+ chart types tailored for marketing insights.
Actionable Insights: Don’t just look at numbers; understand which campaign needs more budget and which one to kill—in seconds, not hours.
We believe data should tell a story, not a headache. I’d love to hear your feedback on our visualization templates!
We are live and eager to hear what you think. Drop a comment below with your thoughts or questions! 🚀
@s_cen congrats on the launch. Is it specialized for some specific data, like marketing or general analyst?
Ada.im
@austin_heaton Thanks for the support! 🚀 It is designed as a general data analyst, so it handles Finance, Sales, or Ops data just as well. That said, we’re seeing a ton of traction with Marketing teams right now, so the AI is getting really good at spotting trends in campaign data (like ROAS, CPC, etc.). But the engine itself is agnostic—feel free to throw any CSV or database at it!"
@s_cen Congrats on the launch Steven. How do you guys integrate with existing tools so we can serve data where people are used to engaging?
Ada.im
@zolani_matebese "Thanks for the kind words! 🚀 That’s a huge part of our vision.
We know data is never in just one place. That's why we built Data Connectors to pull directly from where your team already works.
Instead of manually exporting CSVs, you can connect ChartGen directly to sources like Google Drive, databases, or scattered ad platforms. We want to act as the central hub that unifies those messy, scattered datasets so you can analyze them in one place without breaking your workflow.
@s_cen Thinking I could probably create a dashboard for my clients using this to show them charts about their social media engagement, followers growth, etc. Many congrats! :)
Ada.im
@rohanrecommends Many thanks! :) That sounds like a perfect plan. We know how tedious manual client reporting can be. Using ChartGen to automate those social media charts will save you a ton of time every week. Plus, the AI adds summary insights automatically, so it even helps write the 'analysis' part of your report for you. Give it a spin!
@s_cen @rohanrecommends That’s a great idea and for me a real pain point.
A lot of client work is not about analysis, it’s repetitive reporting and explaining trends. Automating that part frees up time for actual strategy.
Would love to hear how you currently build those reports today.
ConnectMachine
@s_cen Congrats to Steven on the launch. How do you see teams using ChartGen AI day-to-day? Is it more for quick exploratory insights or do you envision it replacing traditional dashboards for ongoing reporting?
Ada.im
@syed_shayanur_rahman Thanks for the kind words! 🙏 That is the million-dollar question.
We see it as a flow: most users start with Exploration (chatting with data to find a quick answer without bugging the data team). But once they find that 'golden insight,' they pin it. So it naturally evolves into Ongoing Reporting for weekly meetings. We aren't trying to replace heavy enterprise BI overnight, but we definitely want to replace the 'screenshotting Excel into PowerPoint' workflow!
@s_cen
Congrats, Steven—great launch. The idea of data telling a story instead of creating friction is spot on.
How are you validating that the insights shown actually lead to faster campaign decisions?
Typeless
The follow-up questions ChartGen generates after creating a dashboard really surprised me. They helped me dive deeper into the data without having to think about what to ask next. It's almost like having a built-in consultant guiding you through your analysis. Very useful!
Ada.im
@yuki1028 That is fantastic feedback, thank you! We designed those follow-up suggestions to act as a springboard for deeper analysis. It’s great to know they are helping you uncover value without the extra legwork. Thanks for sharing!
SEMrush
Congrats on launching your product! Can the platform create one single chart combining different data sources (for example, GA4 + Hubspot + Mixpanel)? What does make you different from established industry players like Zoho Analytics?
Ada.im
@alina_petrova3 Thanks for the congrats! 🚀 Great questions.
1. On combining sources: Yes! If you export data from GA4, Hubspot, or Mixpanel (e.g., as CSVs), you can upload them together. ChartGen's AI data semantic layer can analyze multiple files simultaneously and find correlations across them to plot a unified chart.
2. vs. Zoho Analytics: Zoho is a powerful beast, but it often requires a steep learning curve and structured setup. We differentiate by being conversational first. Instead of dragging-and-dropping columns or writing SQL, you just ask, "Compare my GA4 traffic with Hubspot leads." We focus on speed-to-insight for non-technical users who want answers instantly without building complex pipelines.
Would love to hear what you think if you give it a spin!
SEMrush
@s_cen Thanks for clarifying. The conversational component should be a huge differentiator for marketers
The fact that ChartGen can generate a chart and provide insights in just minutes is incredible. It feels reliable, efficient, and it’s exactly the type of tool I’ve been looking for to streamline my data work.
Ada.im
@joeyzhang 'Reliable' is the best compliment we could ask for! 🛡️ Speed is great, but we know it means nothing if the data isn't trustworthy. We worked really hard to ensure the AI doesn't just hallucinate charts, but accurately reflects the numbers you feed it. Thrilled to be the tool that streamlines your workflow. Thanks for trusting us with your data!
1001 Record
This actually solves a real pain point for marketers. Nice work
Ada.im
@flavia_fu Thanks! That is exactly the mission. 🚀 We built ChartGen.ai specifically to turn that marketing headache into instant clarity. Really appreciate you checking us out!
When you’re merging Facebook, TikTok, Shopify, and GA exports, the scale pain is schema drift plus metric mismatches that quietly produce “pretty but wrong” charts.
Best practice is a typed ingestion layer (canonical schema + unit normalization), fast in-process compute (DuckDB or Polars/Arrow), and automated data-quality checks (Great Expectations) with provenance links from each insight back to the exact rows.
Do you maintain a semantic metrics layer per connector, and can users inspect or override the generated transformation SQL so dashboards stay reproducible over time?
Ada.im
@ryan_thill This is an incredibly high-quality comment. You nailed the engineering challenges of multi-channel attribution perfectly. 🫡To be transparent: Right now, ChartGen is designed as an agile exploration layer for business users, rather than a replacement for a hardened ETL pipeline with a strict semantic layer (like dbt/Cube). We use LLMs to perform 'fuzzy semantic matching' for ad-hoc queries, which works wonders for quick insights but, as you noted, requires human verification for mission-critical reporting.
That said, reproducibility is huge for us. We are exploring ways to expose the intermediate transformation logic (conceptually similar to showing the SQL/Python code) so users can audit the metric calculation process.
@s_cen Appreciate the transparency, and the “exploration layer” framing is spot on. Fuzzy semantic matching is great for speed, but I like that you’re thinking about making the intermediate logic inspectable so users can trust the numbers.
If you’re open, I’m happy to share a pattern we’ve used: keep a canonical typed schema per connector, then emit a versioned transformation plan (SQL or Polars) with dataset and model fingerprints so results are replayable later even as prompts and mappings evolve.
Ada.im
@ryan_thill Spot on! 🎯 You identified one of our most requested features. Marketers can't put generic-colored charts into a pitch deck, so we made Brand Compliance a core priority.
You can actually try this right now: check out the 'Nvidia use case' inside the ChartGen AI. You'll see the tables and charts aren't just generic blue—they are auto-generated in that signature Nvidia green/black color palette.
I tested this on a pretty large marketing dataset and really liked it. The suggested visualization options and follow-up questions were very helpful and made it easier to dig deeper into the data and spot new insights.
Ada.im
@kristina__grits Thanks for putting us to the test with a real dataset! It makes our day to hear that the workflow felt natural. We worked hard to make the 'follow-up' experience feel like chatting with a real analyst who guides you to the answer. Appreciate the review!
Noiz AI
I really like how ChartGen lets you ask follow-up questions after creating a chart. It feels completely natural and allows me to further customize the chart to get deeper insights, rather than just having a static visual. It’s a nice feature that adds a lot of flexibility
Ada.im
@djneverland Thanks! That’s exactly what we were aiming for. 🙌 Usually, customizing a chart means fighting with complex settings menus. We wanted to make it as natural as asking a colleague to "change the color" or "filter by last week." Thrilled to hear it feels natural to your workflow!
Cloudthread
Congrats! Looks cool - are charts then an image than can be copied? Or pdf download?
Ada.im
@daniele_packard Yes! We do support users to download the charts as png and pdf. In addition, you can also arrange these charts on a data canvas in any way you like.
I’ve been testing it today, and honestly, it’s doing exactly what I needed.
Ada.im
@brent_kom3344 Love to hear it! 🙌Sometimes you don't need bells and whistles—you just need the job done. I’m really glad ChartGen delivered for you. Let us know if you need anything else as you keep using it!