I got sick of buying massive e-commerce lead lists only to find out half the stores were dead, and the other half were getting blasted with the same generic cold emails. Pitching brands blind is a waste of time.
So we built Prospectori.
Instead of a random directory, we pre-audited thousands of live stores to find actual technical defects across their entire site like broken tracking pixels, script execution drops, and mobile performance bottlenecks.
Clay and Apollo market their product extremely well and they are blasted all over LinkedIn and X.
I decided to try both out and Clay is definitely not easy to use. I've heard great things, but as a first time found beginning my lead generation and prospecting phase, there has to be easier tools. The learning curve felt steep to me.
Our team spent the past week rolling Claude Sonnet 5 into a few AI agents we've been building for enterprise clients. Went in a bit skeptical honestly, most model updates lately have felt like marginal wins that don't really move the needle in production. Sonnet 5 surprised us in a good way.
What we tested it against
Multi-step research agent: Pulls data from 6+ sources, summarizes, cross-references, and generates a report
Coding agent: Handles refactoring tasks and PR reviews across a mid-sized codebase
Customer support triage agent: Classifies tickets, routes them, and drafts first-response messages
Let s be honest: Building an app is the easy part now. But 35% of startups still fail because they build something the market doesn't actually need. Most AI "research" tools just give you plausible-sounding lies.
We built an agentic workflow that doesn't just "chat" it executes the boring, painful parts of market validation.
Hey founders, wanted your take on something we re testing
We re building user-agent twins that behave like real potential customers
Each one has a role, routine, and context. Think a busy ops manager, a solo founder, a team lead. They react to your idea, surface objections, suggest workarounds, and point out hidden pain points based on how they use it
https://aurali-design.vercel.app/ AI Onboarding Generator & App Store Screenshots(Coming Soon)
I m currently validating a SaaS concept called Aurali (https://aurali-design.vercel.app/). It's an AI tool that generates custom mobile onboarding flows and App Store screenshots.
Instead of building the entire backend engine first, I ve set up a landing page to test:
Relevyn tracks whether your brand shows up when people ask ChatGPT, Claude, Perplexity, and Gemini for recommendations. It s the AEO/GEO problem brands are getting left out of AI answers and mostly don t know it s happening. Built it with my co-founder over the last few months. You can run a free scan on your domain and see the first result without signing up. Two things I d love a maker s eye on: 1. When you see your scan result is the insight actually useful, or does it just confirm what you d guess? 2. Does AEO/GEO land as a real category to you, or does it still feel like a buzzword? Link s in my profile. Genuinely want the critical take, not the nice one.
I'm Arshi, solo founder of AllyStatus a status page platform that doesn't cost an arm and a leg.
Statuspage.io is $299/month. For a bootstrapped founder, that's a dealbreaker. Free tools are either ugly, lack subscriber notifications, or have no API.
