... people told me the same feature surprised them. So I'm rebuilding it around that instead of guessing. Quick update on FounderMind AI. Since the last launch thread, two separate people mentioned the same thing without prompting: the competitor-analysis lens surfaced something they hadn't actually found on their own one person a niche competitor

... your AI remembers something, it treats every piece of context with the same weight. A decision you made six months ago sits alongside a rough idea you were brainstorming yesterday. There is no way to say "this is settled" versus "this was just thinking out loud." That matters more than it sounds. If you changed your mind about an architecture decision, the old reasoning should not carry the same authority as the new one. If you deprecated a workflow, your ... ... context, canonical memories are protected. Drafts are surfaced but clearly marked. Deprecated entries stay in your history for reference but drop out of active recall. The result is that your AI's confidence in what it tells you is grounded

... expertise from big tech, strategy consultancies, and unicorns, systematically cleaned, audited, and structured. The neural layer handles nuance and language. Neither layer works alone. What that means in practice: on rule-bound queries we run at roughly 10% hallucination versus 31.4% measured across real-world LLM use, and 82% lower error rate versus

... worker. For UI testing, a remote headed browser is not just a convenience. It changes the debugging loop. Instead of asking "what did the script think happened?", you can ask "what did the user actually see?" ### Harness Code vs Local Agent Harness Another important decision is where the agent capability should come from. One option is to build the entire reasoning layer yourself: call an LLM API directly, manage prompts, retries, tool calls, screenshots, JSON parsing, and safety rules. That ... ... gives maximum control, but it also means the test harness becomes an AI platform project. The alternative

... live on PH Aug 22, so this thread's been good practice at saying it in one paragraph.) Comment from Demetrio Koro(@aktivist): siOsi upload one selfie and it reads your 12-season color type, undertone, gold vs silver, and which hair colors suit you, then grades the actual makeup in the photo (flash cast, oxidation, coverage), which most tools skip. Free, no signup. Built it because every beauty sub has a queue of "what season am I" posts waiting ... ... verified AI disclosure. others will not. over time the receipts with agent transparency outperform on credibility because the alternative

... both content and   product work.   2. Google Search Console I basically live in it. For anything SEO, it's the only honest source of truth   about what's actually happening vs. what I assume is happening.   3. Ahrefs keyword and competitor

... actual insight, and it's bigger than it looks: making the notification say why it's waiting is what turns a ping into a triage. "Done" makes you tab back to find out what "done" means. "Needs approval vs finished vs

... feed your imported password vault into assistant training or semantic memory.  If you voluntarily put secrets into chat, or a page visibly shows them, that s a different path and we think you should know that. Onboarding copy vs. what ships today Our welcome flow includes an option described as importing  cookies and login data  (saved passwords, stay signed in). We re being transparent here: that screen  records your choices as preferences ;  full automatic migration ... ... linked to your account , not nothing leaves the device. Not   the assistant can never see anything sensitive it can see what you send it and what s extractable from an open page when you use page-grounded

... less. We do that by pairing every task with the right context and model for the job - open or closed. That means you get the same output quality as Opus 4.7, but 5x the tokens for the same spend versus Anthropic or OpenAI API rates across: Chat - grounded

... Last month, I did something that felt slightly insane. I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor

... throw symbolism at you without any context about *you*. The Dream Tree is meant to feel earned over time, not decorative. Each branch is supposed to carry weight. On over-interpretation, totally valid concern. The approach is to stay grounded in your own words and emotional tone rather than forcing meaning. The goal is always "here's a pattern worth noticing" not "here's what your life means." Still refining this, so feedback like yours genuinely helps shape it. Thanks ...

... evidence customers are asking for this. Without these, this is a cost center disguised as a feature." We pulled our customer call transcripts from the past six months. 147 calls. Not one mention of Platform X. We pulled our competitor tracking data. Not one competitor

... sparked an interesting thought experiment: how likely is it that we ll see AGI (AI that thinks and learns like a human) within the next five years? The report highlights a fascinating divergence: the view from money vs. the view from science. Money : the probability inferred from trillions poured into data centers, Nvidia chips, and servers. Investors seem to be betting that AGI is inevitable. Science : the probability inferred from research papers and AI development models. Experts are far more ... ... might be ahead of reality. Expect volatility, overpromised outcomes, and valuable lessons along the way. Meanwhile, AI continues reshaping work, attention, and human behavior. I d love to hear the community s perspective: Are you seeing this money vs

... articulate, revisit, and build meaning around what you read or listen to, with customizable AI companions that facilitate the process. Right now, you can: Create a Reading from any public-domain text or your own uploads and have text-grounded discussions (text or voice) about it Revisit those conversations later as distilled threads, building on principles of Active Recall Create private or public Streams grounded

... spot the next trend before it blows up. Comment from Maksim Ryndin(@maksim_ryndin): Front-end: mostly @Gemini , a bit of @Claude Code . In browser chats, prefer avoiding to give any access to the operating system. Backend: with @VS Code , usually with Rust (even for browser extensions like https://semplico.app/sleach ), mostly myself Comment from Tom Eldridge(@teldridgeldn): Running Claude Code inside Cursor and as a VS

... with your internal data. With Finden, it s seamless bring in news, benchmarks, or market data alongside your own files in one conversation. Business Focus: Others are general-purpose. Finden is built for businesses who need fast, accurate answers grounded in their data. Speed: The difference is staggering. 13 minutes vs

... cursor with Claude Sonnet 4, and it's really good compared to other models. But I am hitting the rate limit frequently and can't use it anymore. I cancelled my subscription with Cursor and am looking for alternatives. I also tried Gemine 2.5 Pro and o3 models, but they are not as good as Sonnet 4. I signed up for Google Vertex AI where you get a free trial with 256 credits, where you can use the Sonnet ... ... bigger refactors; Cursor still wins for quick in-file edits with visible diffs. Honestly I bounce between them depending on the task. Comment from Juan Pablo Castro(@juanpablocastro19): Different enough that I'd frame it as terminal-native vs