Bricks – One Click Dashboards from Your Data Using AI

Hacker News

Hi HN We’ve been building Bricks to make dashboard creation as simple as dropping a file. You upload your data and Bricks does the rest: • Detects the structure • Picks the most useful charts and tables • Generates plain language insights and summaries • Applies a theme • Lets you add blocks using a natural language prompt • Exports to PDF or shares as a live link We built this because creating clean dashboards from spreadsheets felt way harder than it should be. We’d love your feedback on: • How useful the first dashboard feels • Any missing chart types or formats • Anything else that could make it better Thanks for taking a look.

Visit product View on Hacker NewsMay 20, 2025

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

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best fitHighest predicted score across all platforms for this description.

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

81%81% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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

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 · Missing: arr, mrr, revenue

20%20% 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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