Harmonized Data Platform

Hacker News

Hey HackerNews! I'm thrilled to introduce DataBarnum ( https://databarnum.com/ ), a new startup revolutionizing data exploration for non-technical users by turning data into a commodity. We simplify complex datasets into building blocks, enabling exploration of decision opportunities. Key Features: Building blocks of data: Easily combine datasets yourself wherever you are – even for less technical users High quality external data directly accessible at your fingertips State management: Reliable historization of all data Data product platform for selling and retrieving data assets Improve data sharing by making harmonized building blocks available either within your organization to facilitate data mesh or outside when selling your data Whether you're an entrepreneur looking to validate a business idea, a marketer seeking to optimize campaigns, or a manager making data-driven decisions, DataBarnum is here to simplify your data journey. Sign up for early access at https://databarnum.com/ and join us in transforming your data habits. We can't wait to hear your feedback and insights as we continue to refine and enhance DataBarnum. Feel free to ask any questions or share your thoughts in the comments below. We're here to engage with the HN community and learn from your expertise. Thank you for your support!

Visit product View on Hacker NewsJun 19, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

73%73% 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: user, new · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

50%50% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

30%30% 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

8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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

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