Founder of Drok AI - drok.ai and SaaSBrowser.ai. Building tools that help founders discover and validate SaaS ideas from real community pain points.
Next.js, Cloudflare Workers, AWS, GCP, Azure
Good list. The common thread across all of these is the same principle: use data to find validated demand instead of guessing what people want.
The Reddit API point is the most accessible one for most developers. PRAW makes it easy to pull posts from specific subreddits and filter by keywords. The challenge is that raw Reddit data is noisy. You get thousands of posts and most of them are not actionable SaaS opportunities. The signal to noise ratio is brutal without some kind of filtering layer on top.
The 1-star review scraping approach from G2 and Capterra is underrated. Those reviews are basically product specs written by frustrated users. "I wish this tool did X" repeated across 50 reviews is as close to validated demand as you can get without building anything.
One tool missing from this list is Google Trends via API. It is free and tells you whether interest in a problem is growing or shrinking
over time. Finding a pain point is only half the equation. You also need to know if demand is trending up or if you are walking into a
declining market.
I actually built something in this space called SaaSBrowser.ai that automates the community scanning and validation pipeline. It pulls
from multiple sources and scores each opportunity on viability so you do not have to manually sift through thousands of posts yourself.
For further actions, you may consider blocking this person and/or reporting abuse
We're a place where coders share, stay up-to-date and grow their careers.
Good list. The common thread across all of these is the same principle: use data to find validated demand instead of guessing what people want.
The Reddit API point is the most accessible one for most developers. PRAW makes it easy to pull posts from specific subreddits and filter by keywords. The challenge is that raw Reddit data is noisy. You get thousands of posts and most of them are not actionable SaaS opportunities. The signal to noise ratio is brutal without some kind of filtering layer on top.
The 1-star review scraping approach from G2 and Capterra is underrated. Those reviews are basically product specs written by frustrated users. "I wish this tool did X" repeated across 50 reviews is as close to validated demand as you can get without building anything.
One tool missing from this list is Google Trends via API. It is free and tells you whether interest in a problem is growing or shrinking
over time. Finding a pain point is only half the equation. You also need to know if demand is trending up or if you are walking into a
declining market.
I actually built something in this space called SaaSBrowser.ai that automates the community scanning and validation pipeline. It pulls
from multiple sources and scores each opportunity on viability so you do not have to manually sift through thousands of posts yourself.