Solo engineer builds SaaS risk scanner using LLMs and advanced scraping

By PulseAugur Editorial · [1 sources] · 2026-05-29 13:24

A solo engineer developed a SaaS risk scanner called RiskVerdict to help buyers assess the stability of lifetime deal vendors. The platform collects over 35 risk signals, including GitHub activity, social media sentiment, and legal documents, using a multi-phase architecture involving scrapers, LLM extractors, and a weighted scoring system. A key challenge was overcoming anti-bot measures like Cloudflare, which was addressed by an escalating scraping strategy and a browser pool with proxy rotation. AI

IMPACT Demonstrates novel LLM application for risk assessment and advanced scraping techniques to overcome bot detection.

RANK_REASON The article describes the development and technical implementation of a SaaS risk scanner, which is a software tool.

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Solo engineer builds SaaS risk scanner using LLMs and advanced scraping

COVERAGE [1]

dev.to — LLM tag TIER_1 English(EN) · Riskverdict · 2026-05-29 13:24

I Built a SaaS Risk Scanner That Collects 35+ Signals Per Vendor. Here's What I Learned About Scraping, LLMs, and Solo Engineering.

<p>I got into lifetime SaaS deals (LTDs) the way most people do - I bought a few on AppSumo and got burned. Not catastrophically, but enough to notice: there's zero objective information about whether a $149 "lifetime" deal will still exist in future. You get the sales page, some…

COVERAGE [1]

I Built a SaaS Risk Scanner That Collects 35+ Signals Per Vendor. Here's What I Learned About Scraping, LLMs, and Solo Engineering.

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