Every claim is tagged: tested, sourced, reported, inferred or unknown. See how

Launch planner

When can you launch?

Pick the providers your product needs. The planner adds up your setup time, finds the provider that sets the date, and tells you what to start first. It only uses numbers the guides state; an unpublished wait stays unknown.

Which apps do your users need?

Select one or more providers above. The link in your address bar updates, so you can share the plan.

About the builder

Built by Moulshree Bhutra

Founding APM at Vudio.ai, applying for APM, Toolkits at Composio (Bangalore). This prototype is my answer to the take-home: a way for a developer to see the cost of an OAuth app before starting, and to trust what they read.

How I approached the problem

  • Started from what already exists. Composio publishes 46 setup guides. I read ten in full: they cover the clicking, but not setup time, difficulty or the approval wait, which is where teams lose weeks.
  • Designed for one decision. A developer asks "should I start this today?" So effort, wait, and what only you can do come first, and the steps come after.
  • Made trust visible. Every claim is tagged tested, sourced, reported, inferred or unknown, and quotes link to the page they came from. Where no provider states a number, the guide says so instead of guessing.
  • Kept the agent honest in code. The live agent cannot mark anything tested, and a quote it cannot find in a page it actually read is removed. The method page lists what was and was not checked.

Why I am a good fit

  • I have owned a product through integrations and AI. At Vudio.ai I worked across three roles as it grew from a video-commerce tool into an AI marketing platform with 10+ modules, including Shopify-connected widgets and the product side of its Campaign agent.
  • Results I can point to. I contributed to about 7x ARR growth ($30K to $0.2M) over two years through 0 to 1 launches. I redesigned Shoppable Widgets and built self-serve onboarding: activation rose about 74% and turnaround fell from 13 days to 4. I led AI Studio from 0 to 1 (ARPU up 5% among fashion brands) and built an analytics dashboard that lifted free-to-paid conversion about 10%.
  • I build to understand. I have a computer science degree and I prototype my own ideas, so I can talk to engineers about trade-offs. Top 3 of 200+ in NextLeap's Product Management Fellowship.
  • I write down what I do not know. This project lists its own gaps, including that the hands-on registrations are still being run.

Find me

Prototype built for the Composio APM, Toolkits take-home. It never asks for credentials or secrets.