What's up Outliers Aside from the fact that I'm testing people finding on websites. I've recently had some cool successes I wanted to share. Who knows, maybe they can help you guys. One of these campaigns was so successful that my client calls it the "Absolutely" campaign because so many people reply with absolutely. But first, this is all on LinkedIn. I like and live on LinkedIn. Second, the premise is simple: engage with someone after they've posted or engaged with someone else. The idea is that you're finding people who are also active on linkedin, so if you send them a connection request they're more likely to reply than people who never login. And how it works is 1) I use Apify to scrape posts (either from accounts or based on keywords) 2) I find engagers with those posts 3) I send a message related to the post and related to what my clients do. Example 1) My client has several thousand connections, we scrape all their connection's posts weekly 2) We find their ICP out of several thousand engagers per week (about 1% of engagers) 3) We send a simple message, hey ... saw you engaged with ...'s posts, we do cool beneficial thing for you, can we connect? I've run this play multiple times, and the worst acceptance rate was 20%, the best was 90%. And for the best, they're getting 5-10 meetings per week on auto-pilot. And for the tech? I'm using 1) Apify - I like these 3 actors for their value / result https://apify.com/supreme_coder/linkedin-post https://apify.com/scraping_solutions/linkedin-posts-engagers-likers-and-commenters-no-cookies https://apify.com/harvestapi/linkedin-post-search 2) Clay - makes it easy to understand the process (way better than n8n in my opinion) 3) Salesforge, Instantly, or HeyReach Anyone else had interesting success? Curious if there's something that could make it even better.

The exact methods growth hackers, agency owners, and top salespeople quietly use to reach anyone. Most people think finding emails is hard. Most people also think you need expensive software or access to private databases. Both are wrong. Everything you need is already out there — buried in search engines, hidden inside public directories, leaking through PDFs, or sitting in databases no one ever bothers to look at. Once you understand how to dig, you can find almost anyone’s email — whether you’re building a massive list for prospecting or trying to reach one CEO who could change your life. Below is the full breakdown of every method, every search string, and every “in the trenches” trick that actually works. Let's get into the good stuff. Google isn’t just a search engine. It’s the world’s biggest public data index, quietly storing billions of documents, spreadsheets, directories, corporate files, and forgotten web pages. And with the right “search operators,” you can make Google reveal data it wasn’t intended to surface — including email addresses. 1. The “Find Emails on the Entire Internet” Method Use these operators to search for publicly indexed emails: Basic email footprint search: "@gmail.com" + "name" + "company" Company email format discovery: "@company.com" + "email" Role-specific email hunt: "@company.com" + "CEO" File search for spreadsheets containing emails: filetype:xlsx email filetype:csv "contact" filetype:pdf "email" filetype:txt "@company.com" These file searches will literally pull up contact lists, internal docs, cached employee directories, and sometimes entire spreadsheets companies forgot existed. 2. The “Leaked Directory” Method When organizations publish staff directories, Google indexes them — which means you can find them even if they’re not linked anywhere. Try: site:edu "email directory" site:gov "contact" "email" site:org "staff" "email"

Most builders ship apps with zero security. They focus on features, design, and shipping fast. Security feels like homework. It's boring. It's not sexy. It doesn't get quote-tweets. Then they hit 10 users and the app starts breaking. Or worse, someone opens the browser console and realizes they can see the entire database. This is the exact 30-minute security checklist I run before every MVP launch. It's not exhaustive. It's not paranoid. It's the minimum viable security layer that protects you from the most common attacks and keeps your app from leaking data or racking up surprise bills. If you're shipping AI tools, SaaS, or any app with user data, bookmark this and run through it before you publish. 1. Row Level Security in Supabase This is the number one thing people skip and it's deadly. Without Row Level Security, anyone can read your entire database by opening the browser console and running a query. They don't need to hack anything. They don't need special tools. They just open DevTools and type a command. I've seen apps with thousands of users ship without RLS enabled. The database is wide open. User emails, passwords (hopefully hashed), payment data, everything. Here's how you check: Go to your Supabase dashboard. Click Authentication, then Policies. If you see zero policies, your app is completely exposed. The fix is simple. You need to add policies that restrict who can read, insert, update, or delete rows based on the authenticated user. If you're using Lovable, just ask it to enable RLS and write policies for your tables. It'll generate the SQL and apply it automatically. If you're doing it manually, here's the basic structure: Create a policy that says "users can only read rows where the user_id matches their own ID." Do this for every table that stores user-specific data. This takes 5 minutes and it's the difference between a secure app and a data breach waiting to happen. Don't skip this. Ever. 2. Test every single auth flow Signup, login, password reset, email verification.

Are most of the posts in here just people advertising their sites (I assume created with loveable)? I'm curious if anyone wants to discuss prompt optimization and why we are here? Personally I am building sites for fun. I retired from a university where I was the DBA for a group that handled data for early childhood (they were updating the data dashboard while I was there).... I had in the past worked with everything from not for profits (including museums) to water research and had developed everything from HR systems on mainframe to water models on PC.... Currently I'm teaching middle school and developing site just based on what interests me. For example: https://teched4kids.com - feel free to make suggestions. I've been adding to this as I need experiments for class.

My primary focus has been building websites. What is your main use case? It would be great to get an overview of the expertise in this group and see how most of us are utilizing the tool. (Feel free to share your specific products!)