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I built a market intelligence observatory for bootstrapped SaaS founders (<$500k ARR). Here’s how it works

As a founder, I noticed something frustrating: there’s tons of chatter online, but no one had a simple way to see what’s actually happening in early-stage SaaS churn, onboarding leaks, GTM friction, pricing confusion in one place.

So I built Genesis Signal Radar:

🚀 Curated signals from real founders across Reddit, LinkedIn, SaaS blogs.

🔴 High-velocity patterns: onboarding blockers, churn risk, GTM inefficiencies.

🟠 Medium-velocity patterns: feedback loops, founder bottlenecks, pricing & conversion issues.

🟡 Emerging patterns: subtle signals that can predict churn or adoption issues early.

I structured it all in easy-to-read batches, so you don’t waste hours scraping forums or guessing what matters.

Pricing:

$99 one-time → Single batch of signals (starter pack)

$149 one-time → Larger batch + clustered insights

$499 one time → Personalized observatory: I track your market(not just SaaS!), flag risks, and highlight opportunities weekly

I’ve just finished many batches of SaaS signals, so early adopters get access to tons of actionable data immediately.

If you’re bootstrapped, building a SaaS, and tired of flying blind, this is designed for you.
Comment here or email me at [email protected] for more info.

posted to Icon for group Looking to Partner Up
Looking to Partner Up
on February 4, 2026
Trending on Indie Hackers
AI runs 70% of my distribution. The exact stack. User Avatar 181 comments I'm a solo founder. It took me 9 months and at least 3 stack rewrites to ship my SaaS. User Avatar 145 comments I used $30,983 of AI tokens last month in Claude code on $200/mo plan User Avatar 52 comments We could see our AI bill, but not explain it — so I built AiKey User Avatar 25 comments AI coding should not turn software development into a black box User Avatar 24 comments my reddit post got 600K+ views. here's exactly what i did User Avatar 23 comments