Data-Cent – Quick and free data analysis

Hacker News

I built Data-Cent because I often need to explore CSVs quickly without firing up pandas or writing custom code. It’s a Streamlit-based web app where you can: • Upload CSV files (no setup) • Auto-filter and explore the data • Create interactive charts (line, bar, scatter, etc.) • Run quick stats (mean, median, std) • Download a PDF/HTML report of your analysis Live demo: https://data-cent.streamlit.app/ Source: https://github.com/data-centt/Data-Analytics Would love feedback on performance and UI/UX — especially from folks who explore data often or build Streamlit apps. If you find it interesting please help me star the repo. TY

Visit product View on Hacker NewsSep 28, 2025

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% 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

15%15% 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

Similar products

How can narratology and NLP benefit from topological data analysis?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How can narratology and NLP benefit from topological data analysis?

Hacker News5

A Codecademy for data analysis (with R)32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A Codecademy for data analysis (with R)

Hacker News2

Newbies exploring Topological Data Analysis with R35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Newbies exploring Topological Data Analysis with R

Hacker News2

Mjslab: flexable clientside data analysis and plotting32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mjslab: flexable clientside data analysis and plotting

Hacker News2

Data analysis app to fill the gap between SurveyMonkey and SPSS25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data analysis app to fill the gap between SurveyMonkey and SPSS

Hacker News1

Blarbar69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data analysis platform

Indie Hackers1advertising

No-code data analysis64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

No-code data analysis

Hacker News1

Trilli Data19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quick and easy data platform

Indie Hackers1analytics

LottoDeamon65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Statistical Analysis & Combinatorial Data Tool

Indie Hackerscommitment-side-project

Stardog Voicebox, hallucination-free Data Assistan t52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stardog Voicebox, hallucination-free Data Assistan t

Hacker News1

Browse all products Analyze your launch