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Rohith Mariyala

Goals, habits and tasks tracker whose MCP server lets AI assistants read and update the board.

Maintained

Rohith Mariyala: data, price, alternatives
At a glancechecked Oct 23, 2026

not read yet

Use

For
Hiring teams and recruiters looking for a backend agentic AI engineer; the owner is open to opportunities.
Activity
Maintainedsite updated 10 months ago
Used for
  • let AI assistants read and update a goals and tasks board
  • answer questions from long policy documents with citations
  • build an execution engine for multi-channel workflow orchestration
Worth knowingcomputed from what we read · each with its source
  • On the web since 2024, older than 76% of its shelfINITE Atlas
  • Has an MCP server (1 in the registry)public registry →
How a program reaches itfound, not claimed · read Oct 25, 2026
  • MCP servercom.rohithmariyala/makemebetter-aiverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-25
  • Address to connectmakemebetter-ai-backend-59998332584.asia-south1.run.app/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Productivityby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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From people who use itnot part of the reading

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Questions this page answers
  • What is Rohith Mariyala?

    Goals, habits and tasks tracker whose MCP server lets AI assistants read and update the board. It is listed in the Atlas under Productivity.

  • Who is Rohith Mariyala for?

    Hiring teams and recruiters looking for a backend agentic AI engineer; the owner is open to opportunities.

  • Do people use Rohith Mariyala?

    Little sign of use.

  • Is Rohith Mariyala still maintained?

    Maintained: site updated 10 months ago.

  • What are alternatives to Rohith Mariyala?

    In Productivity, by use: Asana, LobeHub, Plane, Nifty, MentionAgent.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk