Yukendiran Jayachandiran

Building LucidExtractor -- an AI-powered web scraping and SEO analysis platform. Solo founder, bootstrapped. The stack: Backend: Python/FastAPI on Google Cloud Run (serverless, scales to zero when idle -- saves a lot on hosting as a solo dev) - AI: Google Gemini 2.5 Flash for data extraction. Users describe what they want in plain English instead of writing CSS selectors - Browser automation:...

@imtiyazmohammed I launched LucidExtractor (AI web scraping tool) a couple weeks ago and here is what I learned: What surprised me most: The launch day spike was tiny compared to the slow burn of consistent community engagement. Most of my actual signups came from conversations I had in threads like this one, not from the launch page itself. What moved the needle: Being genuinely helpful. I...

Trust depends entirely on the failure cost. I am building an AI-powered data extraction tool, and here is how I think about it: Low stakes, high trust: I let AI handle pattern recognition, data structuring, and repetitive extraction tasks. If it gets a field wrong, the cost is a re-run. The speed gain is enormous. Medium stakes, verify: AI-generated code or API integrations get a human review...

Launched a dev tool (web scraping API) on PH about 3 weeks ago. Here is what I learned: What surprised me most: How few upvotes convert to actual product exploration. A lot of launch day engagement is social currency -- people upvote as a favor, not because they evaluated the product. Do not mistake upvote count for market validation. What actually moved the needle: The maker comments. Not the...

This resonates. We launched a dev tool for web scraping and posted 16 feature-focused posts on our LinkedIn company page. Technical specs, API comparisons, feature announcements. The engagement was nearly zero. The one post that got actual profile visits was a raw, honest "here is what building a solo SaaS actually looks like" thread on my personal profile. The 80/20 split you describe is...

@andrew_g_stewart The "terminology drives retrieval" finding has a second-order effect worth highlighting. The gap between how makers describe their products and how users query AI assistants is significantly wider than in traditional search. A maker writes "intelligent data extraction pipeline with schema inference." A user asks ChatGPT "how do I get product prices from any website without...

Week 2 Update from the maker ​ Big shift this week: we stopped marketing LucidExtractor as "another web scraper" and started positioning it around what actually makes it different. ​ The core insight: nobody wants a scraper. They want the data. ​ What changed: ​ 1. AI Extraction is now our hero feature. You describe what data you want in plain English - "give me the product name, price, and...

Week 1 Update from the maker Honest update: we launched last week with zero community prep and got 1 upvote. That stung. But the product is real and growing. What makes LucidExtractor different: 130+ API endpoints for scraping, crawling, and SEO analysis - AI extraction: describe what you want in plain English, get structured JSON back - MCP server so Claude/Cursor can scrape the web natively -...

Hey Product Hunt 👋 I’m Yukendiran, founder of Liceron. I built this after repeatedly struggling with brittle scrapers and expensive, token-heavy LLM pipelines that worked in demos but failed in production. LucidExtractor focuses on production reality: Structured extraction with validation Homepage-first, token-efficient crawling LLMs used only when strictly needed Built for scale,...