BuildForWho

that's so cool. do you also get to store the ideas in the system? like can a user store ideas too?

BuildForWho is an AI-powered product-validation platform designed to help founders, makers, and startup teams discover real demand for their product ideas before committing time and money to building them. Instead of guessing or relying on biased feedback — it gives data-driven proof of demand so you can build something people actually need. 🌟 Core Problem It Solves Most new products fail because: Founders build based on gut feeling or assumptions. Feedback from friends & colleagues is biased. Traditional market research (surveys, studies) is slow and costly. You don’t really know if anyone wants your idea — until it’s too late. BuildForWho eliminates these blind spots by replacing guesswork with real evidence gathered from authentic, public conversations online. 🤖 How BuildForWho Works 🧠 AI-Driven Analysis Scans millions of real conversations from platforms like Reddit, Twitter, forums, and community discussions. Understands not just keywords — but context, urgency, and emotional intensity behind user problems. 📊 Demand Scoring Assigns urgency & demand scores so you clearly see whether people need your solution or if it’s merely a “nice-to-have.” 🔍 Identify Potential Customers Finds real people actively searching for solutions like yours. Helps you build an early waitlist before writing a single line of code. ⏱ Instant Validation Instead of taking weeks of research, you get actionable insights in minutes. 🚀 Key Benefits ✅ Evidence-Based Decision Making Find real demand backed by data — not assumptions. ✅ Save Time & Money Avoid building features or entire products people don’t want. ✅ Launch With Confidence Know before you build — so you can start with customer-ready insights. ✅ Find First Customers Early Reach out to people already expressing pain points you solve. 💡 Features Snapshot 🔹 Multi-Platform Search Across Social & Community Conversations 🔹 AI-Powered Smart Query Generation 🔹 Urgency & Demand Scoring 🔹 Potential Customer Identification 🔹 Fast, Privacy-first Analysis (only public data used) 🔹 Transparent, Simple Pricing — one-time payment options starting from starter plans. 💲 Pricing Model BuildForWho uses simple, transparent pricing — no subscriptions or hidden fees. Users can choose from tiered one-time payment packages that scale by: number of idea validations, volume of conversations analyzed, depth of insights delivered. 💥 Ideal For ✔ Startup founders ✔ Indie hackers ✔ Product teams ✔ Early-stage developers ✔ Anyone validating ideas before MVP development.

Acutally quite a good idea. Pricing page could be simplified tho.

This tackles one of the biggest blindspots in the indie hacker workflow. I've personally spent months building features based on gut feeling only to find out nobody actually needed them. The demand scoring concept is what separates this from just "searching Reddit manually" — quantifying urgency vs. nice-to-have gives founders an actual framework for prioritization rather than cherry-picking anecdotal evidence. One question: how do you handle the signal-to-noise ratio on platforms like Reddit where sarcasm, memes, and exaggerated complaints can skew the sentiment analysis? That seems like the hardest technical challenge here. Also, the one-time pricing model is refreshing — validation is inherently episodic (you don't validate ideas every day), so a subscription model would feel misaligned. Smart pricing strategy.

The LLM validation bias problem that Luke flagged is the real challenge here — agreeable models will rubber-stamp almost any idea if you phrase it positively. The defensible approach is anchoring to behavioral signals ("how many people are actively searching for a solution") rather than sentiment signals ("people complained about this"). Does your demand scoring weight expressed intent to pay vs. general frustration? Those two categories predict success very differently.

What is stopping this from just agreeing with a user and validating their idea despite a lack of evidence? Especially with how agreeable the likes of ChatGPT and other LLMs atm. Very interesting idea though and I wish this was something that was around when I started building my own SaaS. This would really save alot of wasted time and projects to many founders.