DataGPTd – Making data analysis as easy as asking a question

Hacker News

I'm excited to share a project I've been working on called DataGPTd. DataGPTd is a browser-based tool that aims to help make data analysis as simple as asking a question. It allows you to import your data (csv, excel), edit it, ask questions, create visualizations, just with text. All within your browser. It runs a code interpreter locally by WASM. Key features: - Text-based interaction: Using Large Language Models (LLMs), DataGPTd lets you interact with your data using natural language, no complex syntax required. - Data privacy: All computations are carried out in your browser via WebAssembly, ensuring your data stays on your device and is never sent to a server. - Saved and shareable chat sessions. Examples: https://shorturl.at/esFR0 , https://shorturl.at/qAIU8 DataGPTd is for anyone looking to quickly and easily derive insights quickly from their data.

Visit product View on Hacker NewsMay 23, 2023

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

81%81% 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.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% 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

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

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

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

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

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

Incorrect prediction on native model

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