Job search reality. Sending the same resume to every posting. Hoping something sticks. 100 applications. 3 callbacks. 3%. The problem wasn't qualifications. It was matching. Generic resume hitting keyword filters. Losing to tailored applications. Built a resume optimizer. Upload base resume. Upload job posting. System extracts: required skills, preferred qualifications, keywords, responsibilities. Compares to resume. Generates tailored version emphasizing relevant experience. Suggests additions from job description language. Applied the optimized approach to next 53 applications. Results: - 53 tailored applications (each took 5 minutes vs. 45 minutes manual) - 18% callback rate (was 3%) - 4 offers received - Accepted role with 23% salary increase over previous position The optimization isn't lying. It's emphasizing truth. Same experience, better presented for each specific role. What's your callback rate on job applications?

I built a simplest AI system(acts as a backend) that captures all your website leads and onboards your clients automatically using an LLm. Most of the ppl who build websites using AI tools like loveable, bolt and manus just get confused and don't know how to build backend for their vibe coded sites but I made a complete guide on how to build backend using n8n and how to use the data to onboard clients using AI.https://youtu.be/eEWXuxeLiws?si=EDybcf6JbDEAEnL2

Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊

I saw a video the other day and it kind of broke my brain. In 2026, AI agents don't browse websites. They call APIs. Cursor, Claude, Lovable, every agent framework. They all resolve to the same thing. API calls. So the businesses that win this shift are the APIs that agents keep calling. Pretty SaaS dashboards don't matter. Agents can't click buttons. A few examples that stuck with me: → Screenshot One — solo founder API that takes screenshots. Tens of thousands MRR. Doing one thing well. → Postiz — open-source social media API. $60K/month. Just an API. → Resend — email API. Integrated into thousands of codebases. Sticky as hell. The argument is API stickiness beats SaaS stickiness. SaaS users churn when a prettier tool comes along. APIs live inside someone's codebase. Ripping them out means rewriting code, retesting, redeploying. Most people don't bother. And the kicker: every AI tool I love (Cursor, Claude Code, Lovable) is just calling APIs underneath. The actual money is at the bottom of that stack. Made me think. Maybe the next wave of solo founder businesses lives in the boring infrastructure layer. Just one endpoint. One job. Done well. Honestly the more I sit with it, the more it tracks. Every tool we use is calling something else. The "calling" is the business. So what are your thoughts on it? Do you think APIs are actually about to take over SaaS in 2026, or is this just another AI hype wave?

Hello @Nate Herk & everyone !! Need to ask one thing, as being from non-technical background, please suggest me as very confused on where to start….like should I start my automoation workflow journey from N8N (manual automation) or can start from Claude code…. As I have interest on workflow automation and also want to upscale myself in this niche…but yes very confused. Please help me out on this.