# Thiyagarajan Maruthavanan Thiyagarajan Maruthavanan writes and builds around AI-assisted software development, including how teams can measure the work coding agents produce. Maruthavanan also discusses these ideas on the RK on AI podcast and built TokenTopper, a tool that brings Claude Code and Codex token usage into one view. - Profile: https://b2binfluencer.marketing/creators/thiyagarajan-maruthavanan/ - LinkedIn: https://www.linkedin.com/in/thiyagarajan - LinkedIn followers: 13,691 - Topics: artificial-intelligence - Based on 11 dated posts, latest 2026-10-16 ## Summary Thiyagarajan Maruthavanan is useful for technical content on measuring AI coding agent work and questioning software assumptions. - Best for: Developer tools brands reaching engineering leaders on AI production throughput and coding agent visibility. - Not for: Compliance-led enterprise signature or procurement campaigns targeting Fortune 500 legal and procurement directors. - Check first: Confirm audience seniority, demographics, performance data, and any partnership terms or formats. ### Takeaways - They distinguish AI tool cost from work moving through a software team. - They caution that faster code generation is not the same as better software. - They built TokenTopper to consolidate Claude Code and Codex token usage into one view. ## Main ideas - **Measure the work AI coding agents produce, not just their cost**: Maruthavanan argues that companies may know their AI bill without knowing how much work moves through their coding agents. Comparing that gap to a website owner who does not know yesterday’s traffic, the post casts token use as a production measure, not just a licensing detail. - **Faster code is not automatically better software**: Maruthavanan distinguishes impressive model demos and faster code generation from the harder task of building good software. Automating more work can automate mistakes too, so the post shifts the question from whether AI replaces developers to how software might be manufactured. - **A new term can signal a change in how people see the work**: Maruthavanan treats the phrase “software factory” appearing independently in conversations as a clue that practice may be changing and its vocabulary catching up. This is a brief observation about a shared idea, not a detailed account of how such a factory should operate. - **Revisit defaults when the buyer or market has changed**: In a post about digital-signature tools, Maruthavanan argues that a product’s former success can leave buyers stuck with long lock-ins, unclear pricing, or support designed for a procurement department they do not have. The point is to question whether a once-safe choice still fits the company’s current stage. ## Work to read - [TokenTopper and the missing throughput question](https://www.linkedin.com/posts/thiyagarajan_github-kalmantictokentopper-score-your-activity-7483919644899180544-58e0) - [Why 'software factory' is becoming the vocabulary](https://www.linkedin.com/posts/thiyagarajan_software-factory-keeps-coming-up-in-conversations-activity-7479575471798808576-7R3A) - [Models improve fast; making software better is the harder problem](https://www.linkedin.com/posts/thiyagarajan_every-week-theres-a-new-model-that-makes-activity-7505854991505584128-e-XT) - [Defaults, lock-ins, and product positioning](https://www.linkedin.com/posts/thiyagarajan_defaults-are-just-opinions-nobody-revisited-activity-7462919056585723904-nm9C) ## Brand relationships - **TokenTopper** (disclosed_partnership) - **Signeasy** (disclosed_partnership) - **RK on AI** (mention) - **Kalmantic Agentic Lab** (mention) ## Partnerships Thiyagarajan Maruthavanan's four available posts contain no sponsor or partnership terms. They promote their own work—TokenTopper, an open-source-style tool for consolidating Claude Code and Codex token usage, and the RK on AI podcast—and endorse another company's product, Signeasy, in a positioning observation about document-signing defaults. The Signeasy post reads as a recommendation, not a disclosed paid placement. No rate card, format description, submission process or inquiry route appears in the posts. A brand should approach them on LinkedIn with a concrete proposal and ask about deliverables, disclosure practices and pricing before committing to a campaign. Their posts suggest possible collaboration formats: short, argued observations about AI-assisted software development and hands-on tooling work such as TokenTopper. ## Alternatives - Cole Medin: Choose Cole Medin when the collaboration needs a creator who can show an autonomous software factory running, not just argue that throughput should be measured. Medin's posts describe a loop where a GitHub issue goes in and a pull request comes out: each lap builds one issue, tests the app like a user, runs code review, and merges to staging only when CI is green. A manager agent checks parallel laps and flags when something is stuck. Medin also says the next big thing in AI coding is the software factory, that a PRD can go in and shipped code come out with nobody reading it in between, and that they are building an open-source AI software factory intended to work out of the box. For a developer tools company that wants engineering leaders to see implementation detail, agent reliability tactics such as holdout tests, or a walkthrough of factory operations, Medin is a more direct choice than Thiyagarajan Maruthavanan. - Bosun Liu: Choose Bosun Liu when the collaboration needs to address cross-model cost, access limits, and workflow continuity rather than coding-agent throughput alone. Liu's posts describe teams planning their workday around Claude reset windows, avoiding token waste, switching between Claude, ChatGPT, and Gemini, and building tools to move context between models. Liu argues the next AI bottleneck is not adoption but access, cost, and workflow continuity, and that once AI becomes part of daily production, model usage is operating infrastructure. A vendor whose measurement story extends to model routing, cost control, and keeping work moving across providers will find a more direct match in Liu than in Maruthavanan's Claude Code and Codex token-counting focus. - Sunil Patro: Sunil Patro is the better choice if the campaign question changes. Their posts show document workflows, e-signature integration, and AI-assisted video production: a freight company replacing months-long paper signature cycles with an API-connected workflow, and a launch video made with Kling AI where every scene got a human pass. A campaign about contract management, signature workflow standardisation, or AI video production for B2B would put Patro closer to the work than Maruthavanan. --- AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/