@IbehOmodolor · X

@Olek_fast · X

u/safi1409 · Reddit

I built a learning path builder tool powered by AI — maps your knowledge gaps and builds a focused learning path Hey everyone, sharing a side project I've been working on. The problem: When you're self-learning a technical field, you don't know what you don't know. Most people either follow a generic roadmap or keep consuming content without a clear picture of their actual gaps. I personally have completed multiple courses which reiterate the same thing because I was not sure if I had act

@SeifElkady_ · X

Building — helps devs turn shipped projects into proper case studies for their portfolio. Let's connect!

douvy · HN

Educational tool for understanding AI agents. Code: https://github.com/douvy/how-agents-think

@SebBuildsLex · X

I Vibe Coded Lex. Lex breaks down your plan into testable hypotheses, ranks them by risk, and coaches your customer interviews/experiments, so you learn the truth. Use it free at:

@Ebrahim_Rio · X

Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.

@lavishmehra54 · X

Not building anymore, i just launched Morasious - Turns The Most powerful book's like The Prince, 48 laws of power like books into answers for whatever you're stuck on, so instead of reading books over 100+ pages just got the core and apply in real life 🔗

u/Due_Load6189 · Reddit

I built a study battle app and need honest feedback Hey everyone, I’m a student building StudyClash, an app that turns practice questions into competitive study battles. You can try a deck, answer questions, get a score, see what topics you’re weak in, and use an AI coach to understand mistakes. I’m not trying to sell anything right now — I just need honest feedback before I show it to more people. Main things I want feedback on: Is the app easy to understand? Does anything look b

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@burn2delete · X

@product_luke · X

Free roast, no signup. Reply with your landing page URL. I'll run it through -- 50 AI-simulated customers from YOUR target audience -- and post the verdict here: → score /100 → top objections → the single most brutal verbatim quote First 10 replies. Fair warning: 15% of the panel are hard rejectors. They don't do mercy.