SaaSScout — monitor complaints, reviews and trend shifts to validate SaaS ideas

Most AI indie devs don’t fail because their models are bad. They fail because they solve a *tiny* annoyance in a *tiny* niche, while underestimating how hard it is to change daily workflows. Here’s a simple Deep Dive framework to validate your next SaaS idea before you overbuild it: 1) Pain Go hunt *visible frustration*: - Reddit complaints (“this tool is killing my time”) - 1★ reviews on SaaS competitors (look for repeated phrases) - Support forums / GitHub issues that mention “workaround”, “manual”, “export to CSV” If people are hacking spreadsheets and Zapier just to survive, you’ve found real pain. 2) Market reality Check 3 signals: - Are search volumes for “[task] automation” or “[tool] alternative” rising on Google Trends? - Do competitors have lots of reviews but poor ratings (3.2–3.8 stars = opportunity)? - Are people complaining about *price* or *missing features*? Price complaints = saturated. Missing features = room for a wedge. 3) Your analysis Ask: - Can I make this 10x faster / simpler, not just 10% cheaper? - Is the buyer clearly identifiable ("SaaS marketing manager" > "any knowledge worker")? - Does the problem occur weekly or daily? If it’s monthly, churn risk is high. Write your answers down. If you’re hand-waving, you’re not ready to build. 4) Action Before building the full product: - Ship a one-page demo + Typeform - Pitch in the exact complaint threads you studied - Collect 10–20 calls / detailed replies *before* writing serious code If nobody wants to talk, they won’t want to pay. I’m baking all of this into SaaSScout so you can watch complaints, reviews, and trend shifts in one place and validate ideas faster: https://t.co/vFUx1dG0Lh