Built an open-source dashboarding MCP

Hacker News

Hey all, I am the founder of a data intelligence company, started up a year back. We started as a service company where we used to scrape data for strategy teams (any data from the web - e-comm, social media, listings etc.). So, we had to build simple custom dashboards for each team. Every time we had to go through the same prompts on Claude/Cursor telling them how we wanted the fonts, graphs, icons to be. We built a simple system (prompt file), but still each dashboard used to look quite different. We didn’t find any good dashboarding tool as well so we built this for our own use. It’s so cool that we also added a MCP layer on top of it, so that Claude Code uses it to build dashboards for us. The whole dashboard is basically a YAML file. Claude generates it for us, and we can open it anytime to edit charts, filters, layout, colors, queries, or branding ourselves. It’s super simple to understand, easy to customize, and easy to reuse. Now we have moved away from being a service company, building an Apify-like platform for our data APIs. We saw that even MBAs (our typical ICP), have started using these coding tools, hence making this open source for them to build their own custom dashboards. I would love it if you guys gave it a try and gave your feedback. Quite a lot of things can be made better of course, will keep updating as we get more feedback from you all. Link - https://github.com/mindcase-co/lens

Visit product View on Hacker NewsApr 21, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: cursor, claude, mcp · Missing: mac, agents, macos

96%96% 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

92%92% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

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

Hacker NewsMay not resonate with HN audience · Strong signals: open source · 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

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.

Correct prediction on native model

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