... When it comes to AI Memory, everyone's arguing "RAG vs. grep" like it's a religious war. It's not. It's just a cost curve. I've gotten this question so many times that I thought I'd just share my thoughts. So here goes: Vector search wins when your corpus is massive, messy, and unstructured. Thousands of docs, no clean boundaries, meaning matters more than exact words. Filesystem plus grep wins when your corpus is structured ... ... index is also a permission boundary. Is access control baked into AICF's markdown layer, the retrieval layer, or separate? Comment from Hung Tran(@hung_tran_from_notebook_os): Team hybrid, and I don't think that's a cop

... everything. But personal brand can distort early feedback. For me, Build in Public is the way to go sharing the real journey keeps it honest without masking product flaws. Comment from Sourav Mahapatra(@sourav_mahapatra1): The framing 'before vs after the product' misses the actual mechanic. Brand and product compound in parallel when you ship work in public. The CEO building a personal brand without a product to point at is one thing. But by the time the product exists ... ... this way for TAM Network. aug 12. the receipts ARE the marketing. Comment from Mustafa Arian(@thenameisarian): we did both. shipped the v1 with 22 real humans then started building the brand around the thesis. building TAM Network. an alternative