ChartPrompt – An AI-powered chart generation platform

Hacker News

Hey everyone, so I’ve always liked the Tremor UI chart library and have used it in a few projects, so I wanted to build something that combined it with LLMs in some way. I ended up creating ChartPrompt, a site where you just describe the data or chart you want in a prompt, and it’ll generate a clean, interactive chart (line, bar, or area for now) using Tremor. You can also iterate on the chart to add new data as you go along. Thought the idea of skipping config/upload steps and just describing your chart could be cool, so I gave it a shot. Didn’t see much like it out there though I noticed Grok recently launched a similar feature using Chart.js (which personally don’t think looks as polished as tremor). Still figured a site dedicated to this idea with a better UI and nicer charts might be worth trying. Though will say is slower and less reliable. Would love to hear what you think!

Visit product View on Hacker NewsMay 30, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, grok, using · Missing: mac, agents, macos

90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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