We

We built a community of data learners

Hacker News

We built a community of data learners

Hey Data folks, Over the past two years we built a community of data analysts, scientists and engineers, with 570+ members right now on the discord. This community has the goal to help and carry each others to improve our data skills. We also developed a web-app to help students or job looking people practice their skills with 14 data projects including, dashboarding, ETL, SQL, R and Python to help them build a strong portfolio for job interviews. The app has a small cost to help the team develop future updates and spend time correcting the members projects, reviewing them, giving feedback, etc. We also want to involve our professionnal network on Linkedin in a near future to allow students of the program to find real data jobs opportunities or short missions. The community is free and you are all welcome to join our discord.

Visit product View on Hacker NewsOct 24, 2025

Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

81%81% 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.

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

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.

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

56%56% 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

35%35% 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

35%35% 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

23%23% 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.

Incorrect prediction on native model

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