CSV-AI – Generate a Presentation from a CSV File in One Click

Hacker News

Hi HN, I've been working hard on a project I'd like to share. Its an extremely easy to use tool that generates insights from your dataset and makes a PDF/powerpoint presentation. No prompts or any user input is required at all, you can do all the analysis in one click. The main target audiences are data scientists (like myself) who want to quickly have a look at a dataset and non-technical people with datasets who want to understand them and get insights. Its still under development, so it may have some bugs and I am planning to add a lot more features. But I'd love to get some early feedback. Its free to use for files up to 5MB, so if you have a CSV file to hand give it a try!

Visit product View on Hacker NewsNov 21, 2024

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

79%79% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

26%26% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% 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.

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