Idea validation

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

3 Tool Calls · 1 Message

Here’s my plan:

  1. 1.Search Reddit: r/personalfinance, r/ynab, r/mintuit, and the budgeting subs you follow.
  2. 2.Search Hacker News: threads on Mint’s shutdown and the alternatives people moved to.
  3. 3.Search X: people who left Mint, plus the AI-budgeting apps already shipping.
  4. 4.Read the top threads and pull verbatim quotes, each linked to its comment.
  5. 5.Weigh demand against the crowd, then write demand-validation.md and quotes.csv.

Starting now.

Running in your Chrome, signed in as you
Search and read threads onRedditSearch and read threads onHacker NewsSearch and read threads onXSummarizing and exporting the files

Here’s the read. demand-validation.md and quotes.csv are ready to download.

Pain themeVoicesIntensitySource
The real blocker is reliable bank syncThe biggest hurdle is finding one that’s close to reliable when authenticating with other sites, 2FA, etc.MostHigh
They want the categorizing done for themI just want to categorize and see where my money is going, less so planning.ManyHigh
Auto-categorization is table-stakes, and often wrongTheir auto-categorization was never accurate anyways.SeveralMedium
Short answer: strong problem, crowded solution. People want this badly, but the part you’re pitching, AI auto-categorization, is the part that already works. The pain people actually beg for is reliable bank sync and trust, especially in the geographies the incumbents ignore. As framed, the moat is weak.

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.

01Find your wedge

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.

02What they’ll actually pay

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.

03Your first 10 customers

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.

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