Let cold hard data & complaints
ruthlessly judge your next
SaaS Idea
Most indie hackers die from "blind confidence and fake needs". Before writing a single line of useless code, throw your idea at me. We dive deep into global forums and use real target user complaints to determine if it's a goldmine or a meat grinder.
■Real User Quotes
■Fatal Flaws Analysis
■Hidden Competitor Intel
Case Files
Research Reports
Click to view full reports. Each report contains raw user quotes, competitor analysis, and rational Go/No-Go decisions.
Intercepted Transmissions
Voice from Real Users
Not subjective needs guessed by AI, but real complaints and cries for help collected from global communities.
“Once again, Microsoft is promoting licenses through Self-Service Purchases (SSP). First it was Teams Premium, now it's Purview. Keeping track of these SSP announcements and disabling each product sepa...”
“We have so much shadowIT going on in our corporation that hard for me to keep up. Just got asked how we got a license for this website tool that IT has no idea anything about. No idea who paid for it ...”
“We have a lot of SaaS products (around 150) that at some point in time touch PCI data for a small to medium sized organization (90 staff).”
“Ray is a local-first personal finance CLI that turns your bank data into an AI financial advisor. Connects to your banks via Plaid, stores everything locally and encrypted. $220 MRR, 2,288 installs, 7...”
“I'm a solo, bootstrapped founder building a fintech product for the Central African region. The problem: Plaid and Sumsub come with meaningful upfront fees / minimums, and I don't have outside funding...”
“As a developer, I want to track my bank accounts, because I noticed some unwanted subscriptions recently. I learnt about Plaid, but to have access to real data it requires a production access. I tried...”
Verified Process
Transparent & Reliable Methodology
Three-stage data funnel: Broad Scan → Deep Validation → Decision Output
Broad Scan
▶Omnidirectional web crawling
▶Precise niche keyword targeting
▶High signal-to-noise ratio extraction
Raw Quote Anchoring
▶Deep dive into vertical pain-point communities
▶Mine raw cross-sections of real users
▶Build need-correlation graphs
Decision Output
▶Consensus-based Go / No-Go
▶Existing solution ecosystem & pain extraction
▶Targeted MVP entry point advice
The Superiority of Our Methodology
✗Typical AI-Generated Fluff
- —AI hallucinates users & interview logs
- —Outputs fake needs without validation
- —Always encourages blind action ('huge potential!')
- —Untraceable, leading to fatal direction errors
✓IdeaGuard Traceability
- ▸100% authentic long-form forum quotes
- ▸Every key conclusion traced back to a URL
- ▸Cold, objective No-Go warning logic
- ▸Saves you months of potentially wasted time
Want to validate your next brilliant idea?
Enter the concept or niche in your mind, and wait 5 minutes.
Each report includes: Real quotes · Pricing intel · Rational dev decisions