I made a lightweight data visualization platform

Hacker News

Hey everyone, I’ve been working on a project called PrettyData, a lightweight data visualization platform. My goal is to make it easier for anyone to turn raw data into beautiful dashboards, even without deep technical skills. Just by easily clicking through. What it does: - Pulls data directly from Google Sheets, Dune Analytics or Postgres tables. - Lets users build and customize dashboards easily with ECharts - No-code and just with I started this because I noticed there are free tools as Superset, but the learning curve is a bit steeper and probably too complicated for most not deeply technical people. PrettyData aims to be the missing link between semi-raw data and useful dashboards—without friction. Why it might interest you: - 14 day free trial, no credit card required. - I’d love to hear feedback from the HN community on the concept, user experience, or areas for improvement. - Feature requests are welcome — I’m balancing development and marketing, so your input would help steer things in the right direction. If this sounds like something you’d find useful, I’d appreciate it if you gave it a spin at https://app.prettydata.xyz . Your feedback would mean a lot and help shape the product! Thanks for reading, and feel free to AMA in the comments.

Visit product View on Hacker NewsOct 25, 2024

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

85%85% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

46%46% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · 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

Similar products

MavenDoc39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

MavenDoc is a visualization and data anonymization platform

Product Hunt+3

Fullstack D3 and Data Visualization51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fullstack D3 and Data Visualization

Hacker News6

OpenIndoor visualization of OSM indoor data61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenIndoor visualization of OSM indoor data

Hacker News28

The GitSky40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data Visualization

Indie Hackers1$90/modata

Data visualization in D3 on US obesity data51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Data visualization in D3 on US obesity data

Hacker News2

Data For Visualization33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Blog for data visualization. Storytelling with data..

Indie Hackers1analytics

explot44%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 exploration and visualization

Indie Hackerscommitment-side-project

Simple Binary Data Visualization in R52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple Binary Data Visualization in R

Hacker News63

R/ggplot2 data visualization without coding51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

R/ggplot2 data visualization without coding

Hacker News2

Correspondence - visualization of translations43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Correspondence - visualization of translations

Hacker News1

Browse all products Analyze your launch