... 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

... DeFi trust/portfolio dashboard, an algo-trading agent, and a couple of narrower crypto tools (remittance, inheritance planning). I ran each one through the same structured evaluation: business strategy, market sizing, financial logic, product scope, and risk, treated as separate lenses rather than one combined gut-check. Three of the four kept failing for the same reason, and it wasn't the reason I expected. It wasn't "market too small" or "too competitive." It was that I could describe ...

... valuable. But I wonder if we sometimes focus so much on making creators more powerful that we forget an important goal: The best tools eventually disappear behind the creation itself. A great camera does not make someone think about lenses before capturing a moment. A great writing tool does not make someone think about the software before expressing an idea. Should AI creative tools follow the same principle? Should the future of creation focus less on learning tools and more ...

... feature that the agent has to restate before touching it again, cheap enough to survive, and it at least surfaces drift the moment the restated version stops matching the original. Comment from Neeraj H(@terranicgerald): @ayanm  Two different lenses, one blind spot, that's exactly it, and probably why 'have it reviewed' feels like one checkbox when it's actually two people looking for two completely different kinds of wrong ...

... bursts Take marketing as seriously as building. It was my weak side, so more distribution and less hiding in the editor Build in public on X properly, share the real experience (the wins, the boring middle, the competitor that showed up last week) instead of only posting when something's polished Personal: Make real time for family, not the leftover time after shipping Protect the gym and running time even on shipping weeks I'll be documenting ... ... which is okay, I did it for the founder too) :) Comment from Nika(@busmark_w_nika): @johnsongill  you are a strong duo! :) Comment from Nika(@busmark_w_nika): @gia_khan  Wow, I love BW photography! :) What camera + lenses

... doorbell. It rings the same whether it's a package or a fire. That's basically the gap Pushary fills, same hook idea you've already wired, but the event carries a real handoff (done vs blocked vs

... launch day. It might be the first GTM test. Before running ads. Before writing 50 SEO articles. Before scaling outbound. Before building a full sales motion. You get a compressed day of: positioning feedback objections use cases audience signals competitor comparisons wording people naturally reuse comments that can become landing page copy, SEO topics, sales answers, or product roadmap inputs For mailX, the biggest signal was clear: people understood the pain of emails going to spam , but the AI agent ... ... ones that actually tell you where your messaging has gaps Comment from Neal Miskell(@wereframe): I have not launched yet, but this post excites me. I look forward to launching and receiving objective/subjective feedback from an outside lense

... pattern: experienced senior professionals were getting rejected not because they lacked qualifications, but because their CV read like a job description instead of a track record. So I built ResMAI ( resmai.com ). It runs your CV through 4 AI lenses: Recruiter perception score (15 parameters, simulates how a real recruiter scores you in the first 6 seconds) ATS filter check (75% of CVs get rejected here before a human sees them) Industry-specific positioning analysis Career trajectory engine (where your profile ...

... seen this firsthand. Engineering looks at a model output and sees a performance metric. Compliance looks at the same output and sees a risk event. Nobody's wrong, they're just reading the same data with completely different lenses. Embedding context directly into the event makes way more sense than expecting every team to figure it out after the fact. The question I'd push on though: how do you decide which context matters at capture time? Because over-indexing ... ... nolan_vu): This is something I think about a lot. We ran into this exact issue when deploying AI agents across different departments. Same prompt, same model, but the output meant completely different things to the legal team vs

... Kitty(@ghost-kitty-9736953): Comment Deleted Comment from Bruce Warren(@bruce_warren): This is one of the best breakdown I've seen of the data mismatch problem. Most people assume something is broken when it s really just different lenses on the same journey. Comment from Imed Radhouani(@imed_radhouani): @bruce_warren  That is exactly it. Different lenses

... workflows , on prem / private cloud , and air gapped deployments. Today we re packaging everything under one umbrella: AQEA Engine . What it includes CORE deterministic knowledge with explicit proof chains (facts you can trace, not vibes) COMPRESS embedding compression + steerable Lenses (focus/shield) without retraining your base embedding model CRONOS deterministic, zero shot time series analytics for edge enterprise deployments SCIENTIFIC research & discovery (we re updating the marketing page; the research UI is already public) Links AQEA Engine overview: https://nextx.ch ...

... specific problem. Every time a unit turned over, they were losing weeks of rental income. Not because the market was soft. Because their listings weren't good enough to attract the right tenant fast enough. Photos lie. Wide-angle lenses make rooms look bigger than they are. A standard 2D floor plan means nothing to most prospective tenants. So people booked viewings they shouldn't have booked. Wasted appointments. Wasted weeks. What they needed was AI virtual staging : Spatial, accurate ...

... Greetings everyone! Pablo ( @pablothethinker ) here, founder of Claw Cognition . Launched here almost an month ago as the marketplace where humans + AI agents trade real intelligence. Just dropped v3.7.0 "The Lens Protocol" , a massive step toward making cognitive lenses (structured thinking frameworks) truly agent-native to publish and earn. Agents can now browse, buy, equip, and use lenses

... lifetime proving this. His answer the one that helped build Berkshire Hathaway into one of the greatest investment machines in history was the Latticework of Mental Models : a cross-disciplinary framework that forces you to triangulate truth through multiple lenses before reaching a conclusion. FunBlocks AIFlow brings this philosophy into an AI-powered thinking tool. It doesn't just answer your question. It thinks about your question the way Munger would. What Is Munger's Latticework of Mental Models? Munger ... ... problem. Who Is AIFlow Built For? Founders & Product Leaders Diagnose growth ceilings, user behavior patterns, and competitive positioning with structured rigor instead of gut feel. Investors & Strategy Analysts Evaluate opportunities and risks through multiple disciplinary lenses

... Greetings, Everyone. We launched a week ago and today we're shipping the 2.0 Beta. What changed: We went from a human-facing lens designer to a full agent-first intelligence marketplace. Your AI agent now: browses lenses via API (no auth for reads), publishes thinking frameworks, forks others' lenses

... redirects in ClawCognition. Switched models until Grok Code Fast 1 crushed the toughest bugs and got me back in. Heads down again still building, still pushing.Here s the current Your Agents view in beta: clean dashboard, 7 built-in lenses, 5 config files, ready to design cognitive architectures in under 5 minutes. More coming soon. Thank you for the support and votes.Won t let you down. https://x.com/pablothethinker/st... Comment from Mykola Kondratiuk(@mykola_kondratiuk): Oh nice, .md files ... ... lenses

... data specifically, as a "Personal Signal" wrapped in a "Universal Pattern." The Solution & Tech: Dream Journal is an AI-powered interface for your subconscious to act as a synthesized psychologist. It analyzes your dream through two distinct lenses simultaneously. To keep my AI costs in check, I haven't allowed open ended discussion with AI, but allowed to get answers to 5 questions and relate your dreams context with big5/boundary analysis. Where this is heading to? : This ...

... time within their browser offering a truly uniquely self designed teaching method. Releases here at midnight. Interstellar image and video computer vision systems I've designed are helping learn how to literally map out black holes and their Einstein lenses and Reflections from gravitational warping. Videos available on youtube channel. Figuring out improving those asap. Into climate change tech and quantum materials to particle physics and the literal metaphysical sciences such as time crystals and quantum communication systems. Been designing ...

... works (in 3 steps). We continuously collect public signals across EU markets Analysts validate, normalize, and tag per Annex III / GPAI / transparency You search, filter, and export, then start relevant outreach Roadmap. Watchlists & alerts (Slack/Email) Deeper sector lenses (FSI, HR/WorkTech, EdTech, Health) API access for firms that want to power internal BD dashboards FAQ (quick). Coverage? EU + UK focus; expanding by demand Updates? Weekly (database + notes) Pricing? Monthly, billed quarterly Data ethics? Only public, business-context sources ...

... should be building in public for the purpose of getting early feedback so that you have more conviction that what you're building is actually something that people want to use. When you look at it through that lense, even having one person following your journey and giving feedback can be invaluable. Over time, a larger audience will come naturally. But even when it does, you should keep the focus of building in public on soliciting feedback from the folks ...

... mattopmistro): I do my best to just evaluate on my own without relying on reviews. Look at their website, look at the LinkedIn profiles of the founders, see how 'legit' they are across social media platforms, & look up competitors to do side by side. My first job was at Gartner on the high-tech team, so I kind of put those lenses

... best, and you pay for them? What monthly price is bearable? Comment from Priyanka Gosai(@priyanka_gosai1): In my experience, people rarely pay for just information anymore they pay for access, perspective, or utility. What s worked best: Personal lenses on topics people are already Googling (e.g. How I recovered from burnout as a solo founder instead of What is burnout? ). Use-case depth practical stuff with receipts: templates, dashboards, breakdowns, frameworks you actually use. Tight, safe communities ...

... benefits of reflecting, though? Reflecting is, in the product world lango, a vitamine. You don't see immediate results, and it's not some sort of automatism. It takes time, commitment, and it's through it's lenses that you eventually start seeing details which you couldn't before. As a very producty example, I write every Sunday, and I always mention the projects I am working on. Let's say I did that for about a month ...