No-Code access to all FRED and BLS data

Hacker News

Dataherald is a no-code data platform that allows you to create and deploy powerful data content (charts, maps, graphs) in less than 60 seconds. We’ve automated ETL for hundreds of public and proprietary data sources, surfacing ready-to-use live-updating visualizations in as little as 3 clicks. Bureau of Labor Statistics (BLS) inflation and employment data, FRED economic and automotive data, and hundreds of other fascinating data feeds are already piped in and at your fingertips – the only thing left is for you to create your own custom visualizations and generate insights from them. Dataherald helps you tell stories with data faster. Take it for a spin and tell me what you think. We’re specifically interested in your feedback for the software interface and what data sources you would want (and for what purpose).

Visit product View on Hacker NewsJul 20, 2022

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

88%88% 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 · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews

51%51% 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

37%37% 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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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