Nicheloom

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I threw away my analytics dashboard and replaced it with 42 MCP tools

Details

External ID
48233125
Source
HN
Company
—
Product
—
Website domain
—
Launched
May 22, 2026
Cohort
—
Upvotes
5
Upvotes percentile
0.1147011308562197
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Description

Back in October, I built a web analytics tool. It had two distinguishing features: it was cheap, and it had a weekly AI email summary so you wouldn't have to check your dashboards. Turned out that cheap made no difference, but the few users I had really liked the email digest.The world moves fast these days, and suddenly I found myself experimenting with agents, and doing all my work in Claude Code, so I decided to throw out everything and rebuild the tool as lodd.dev, a headless web analytics tool for agents. 42 MCP tools and a full API that lets agents call and act on analytics data as part of their processes.I've tried to optimise it for agent usage, so efficient responses (a snapshot is 60ish tokens), an llms.txt to guide the agent to handle setup, read only for simplified auth, and both a hosted oAuth (for desktop and mobile apps) and stdio version using an API key for terminal use. Human in the loop authentication using OTP in an email.Explicitly asking the agent to use it works really well, and I particularly like combining with other context sources like GSC or commit history, but it's been a little bit of a challenge having the agent call it unprompted. A few lines at the top of a Claude.md file has made a difference though.I'd love to hear what value, if any, you see from being able to get analytics data in the same conversation as your code (or other automatic workflows)?

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
Horizontal
Function
Analytics & BI
Audience
Developer
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
mcp-based analytics tools
Manually corrected
False

Could you build this?

Yes Exposing analytics data tables to an LLM via Model Context Protocol (MCP) server endpoints and scheduled automated emails consists of basic database querying and standard API wrappers.

Discussion

4 comments analyzed.

Competitors mentioned: Google Search Console, Apollo, Traditional web analytics tools

Concerns raised: May not add value for experienced analytics users, Complex setup process in existing tools, Power/functionality trade-off vs simplicity

Feature requests: Integration with Google Search Console, Integration with Git commits, Integration with CRM/lead data (Apollo), Multi-source context combination

Competitors

Other products that read as similar to this one — 215 launches clear the similarity bar, closest 8 shown.

Attention rank: #193 of 216 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 192 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a analytics & bi tool for Legal yet.