Validate your idea from the real users behind the login
Your AI searches the real comments on Reddit, Hacker News, and X to validate real demand, then tells you whether people will pay for it.
Validate a startup idea with real user evidence
Use Actionbook to validate my idea: an AI budgeting app that auto-categorizes my spending and shows where my money goes (Mint, but it does the work for me). Search Reddit, Hacker News, and X, including the threads I’m logged into, for verbatim quotes about this problem. Then package it as two files I can download: - demand-validation.md: a one-line answer up front, the top pain themes (how often each came up, plus a representative quote), and the biggest risk called out - quotes.csv: every quote with its theme, platform, and source URL, so I can trace each one back
ChatGPT
Here’s my plan:
- 1.Search Reddit: r/personalfinance, r/ynab, r/mintuit, and the budgeting subs you follow.
- 2.Search Hacker News: threads on Mint’s shutdown and the alternatives people moved to.
- 3.Search X: people who left Mint, plus the AI-budgeting apps already shipping.
- 4.Read the top threads and pull verbatim quotes, each linked to its comment.
- 5.Weigh demand against the crowd, then write demand-validation.md and quotes.csv.
Starting now.
Here’s the read. demand-validation.md and quotes.csv are ready to download.
| Pain theme | Voices | Intensity | Source |
|---|---|---|---|
| The real blocker is reliable bank sync“The biggest hurdle is finding one that’s close to reliable when authenticating with other sites, 2FA, etc.” | Most | High | |
| They want the categorizing done for them“I just want to categorize and see where my money is going, less so planning.” | Many | High | |
| Auto-categorization is table-stakes, and often wrong“Their auto-categorization was never accurate anyways.” | Several | Medium |
Your users’ real pain is buried where public search can’t reach.
It lives behind logins, in member-only communities. Only Actionbook reads them.
Only searches the public web. Misses the real threads.
Reads behind the login, in your own browser.
Hands you generic, second-hand summaries.
Pulls real quotes, each linked to its comment.
No sources you can check.
A clear yes or no, with sources you can check.
Search behind every login.
Your whole pre-launch research.
Validation is just the first job. Every one reads the member-only threads other tools can’t reach.
See why people quit your competitor
Use Actionbook to search Reddit, Hacker News, and X — including the member-only threads I’m logged into — for people switching away from or complaining about [competitor]. Cluster the reasons they churn, rank each by how many distinct voices raise it, and give a verbatim quote + link per cluster.
Find the price that’s too high
Use Actionbook to find every “I’d pay $X”, “too expensive”, and “not worth it” comment about [competitor / tools like mine] across Reddit, HN, and X, including gated threads. Pull the dollar figures with the verbatim quote behind each, and summarize the price band people actually anchor to.
Spot who needs it most
Use Actionbook to find 10 people across Reddit, HN, and X — including the member-only threads I’m logged into — who described [the pain] most acutely in the last 90 days. For each: handle, verbatim quote, thread link, and a one-line reason to reach out, sorted by how recent and acute.
Frequently asked questions about market validation
What people ask before trusting an AI to tell them whether their idea is real.