... everyone, I m soft-launching VeilScan today. It s a proof-based external vulnerability scanner for startups, SaaS teams, fintech products, and lean technical teams. The problem I m trying to solve is simple: Most small teams ship fast, but they don t always know what their external attack surface looks like. Traditional scanners often return long noisy lists, but not enough clear proof

... agent for hedge funds with cryptographic compliance proofs Sovereign Alpha is a private AI agent council that reasons over a hedge fund's proprietary internal data to find alpha opportunities that public AI models cannot see. Three specialized agents work together: Analyst reads private fund data, finds alpha Risk Manager absolute veto power, verifies ZK proofs

... apply for jobs, but almost no time fixing how people are actually evaluated. CVs are static. Portfolios are selective. Interviews are inconsistent. VERYFY flips this. It lets professionals build verified capability profiles, so hiring decisions can be based on proof, not claims. If you ve ever felt overlooked because your experience didn t read well on paper, this is for you. https://www.veryfy.io ...

... done, it lives on someone else's domain, or worse, behind a login screen you can't share. So when a recruiter or client asks "can I see your work?", the honest answer is complicated. The work exists. The proof doesn't. And that gap costs people jobs. I've been thinking about this problem for a while, which is why I built Krilarr - a verifiable developer portfolio platform that lets your work speak with evidence, not just screenshots. With ... ... Krilarr, developers can: Showcase real projects with verified proof

... Built something I think this community will find useful. Krilarr is a verifiable developer portfolio platform. You create Proof Cards, structured portfolio items that capture what you built, the outcomes it produced, and link to real evidence (live URLs, repos, metrics). Then you share one clean profile link instead of a PDF resume or a GitHub that needs explaining. The Pro tier ($3.99/mo) includes an AI Proposal Assistant that turns your Proof

... Product Hunt community I m building something around resale and ran into a problem that shows up in almost every transaction. The problem: Selling often turns into proving. Even when the item is real, buyers still need reassurance. Proof ends up in messages, screenshots, receipts, and random links. It s fragmented, hard to verify, and doesn t carry over to the next buyer. So every new transaction starts from zero. Buyers compensate for that uncertainty. They ask more questions, hesitate ... ... negotiate harder. Sellers repeat the same explanations again and again. What I built: ViaHonest - a marketplace where the item carries its own proof

... Dear Community, I started a Lightroom alternative with cool feaures such as Local adjustments (brush, stamp, heal), Tone curves, HSL mixer, color grading, ICC profiles, soft proofing

... speak directly with Charlie or me. The founders. We try to fix issues in 10 15 minutes. Being personal builds trust, turns users into advocates, and gives you feedback you can't get any other way. 6. Use social proof at every key touchpoint. We noticed that users were clicking our upgrade button but not converting. We added an intermediate page, less transactional, more context, more social proof

... every day? We tracked the top 10% of accounts by engagement. Their most-used feature was the Workflow Engine. Not because they requested it. Because it saved them time. They built automation for content publishing, citation alerts, and competitor tracking. That told us more than any sales call. 2. Support ticket clusters What problems keep coming up? We used RAISA to cluster 1,200 support tickets. The largest cluster (34%) was "automation rules are confusing." Not "add app store tracking ... ... correlation with retention. That told us where to invest. What we decided Building now: Workflow Engine v2 Conditional logic, scheduled runs, webhook triggers. 78% adoption, 64% retention. This is what keeps people around. RAIVE enhancements Real-time citation alerts, competitor

... experience signals automatically. For any "how-to" content, it adds placeholder prompts for real screenshots, original testing data, and first-person observations. The editor can't publish until these are filled in. No more generic stock imagery. 3. The proofreader The most important addition was the proofreader

... guess everyone does it these days, especially when GDPR and EU AI Act questions starts coming up. Right now Im experimenting with workflows around: Classifying AI feature risk (So a team can understand which AI features are low risk vs higher risk from a compliance standpoint) Showing which obligations apply (Helping teams see what they may need to do under frameworks like GDPR or the EU AI Act) Tracking evidences / missing docs (Making easier to see what documentation, policies ... ... proof

... VeilChain is a Zig-based blockchain node. Today it already includes a functional Proof-of-Work loop (Blake3-backed header hashing), an ASERT-like difficulty retargeting hook, chain append/validation checks, and a local multi-node testnet runner you can launch from the CLI (status, mine, testnet). It also ships early ledger primitives (note commitment, nullifier derivation + nullifier set, and a commitment tree) as foundations for the later shielded transaction + proof

... company I ran in 2025 Officially we started as MEAI UKRAINE LLC in 2026. I created a PoC trading model that automatically works with orders/positions, calculates risks and makes money by mathematical models. This model was only a proof of it is possible to make dynamic system that reacts on market changes. Okay, but what to do next? I started to work with MVP to proof

... bots and fake accounts Improve trust in conversations Clean up spam-heavy communities On the other hand, Reddit has always been built on anonymity , and changes like this could shift how people use the platform entirely. There are also alternative ideas being floated: Zero-knowledge proof

... fixed templates. You decide the flow. Inline images. Generated articles include images, not just text walls. Regeneration. Mess up one paragraph? Regenerate just that part. Not the whole article. What we're adding in v2.2: A third layer: proofreading. Not grammar checking. Something that flags content that adds nothing new. Content that just rephrases what's already out there. Content that doesn't include something unique to your brand a data point, a screenshot, a real example. We want ... ... publish. What we're trying to figure out: What does your current content generator do that you hate? What do you wish it did that it doesn't? When you generate content, what makes you delete it vs

... Maybe more. Here's the painful truth: Your site is translated. Your AI visibility isn't. When a German user asks ChatGPT in German about your category, you're invisible. When a French prospect searches Perplexity in French, your competitor shows up. Translation AI visibility. And it's costing you. The Data We tracked 200 SaaS companies with multilingual sites at Rankfender. Market % Visible in Local AI Answers US (English) 64% UK (English) 58% Germany (German) 22% France (French ... ... Founder: B2B SaaS, 8M ARR "We spent 40k translating our site into German and French. Beautiful work. Native speakers. Perfect messaging. Six months later, we checked German AI answers about our category. We weren't there. Not once. Our competitor

... there. Not #1. Not #2. Not #10. Nowhere. What I Thought Mattered (It Didn't) What I Prioritized What AI Actually Cares About Beautiful design Structured content Clever copy Direct answers SEO keywords Complete questions Backlinks Original data Social proof Comparison tables I was optimizing for humans. AI is not human. Lesson #1: AI Doesn't Read It Extracts Humans read your About page. They feel your brand voice. They appreciate the design. AI does none of that. AI scans ... ... project management tool for remote design teams. Here's exactly how we work." Feature lists Problem-solution paragraphs Vague benefits Specific outcomes Lesson #2: AI Loves Comparisons Even If You Lose This one hurt. I avoided mentioning competitors

... group of incredible creators to work with early. Not a massive scaled creator program. Not loads of volume. Yet . Just a smart group of people we trusted, who felt close to our audience and could help us build social proof from day one. That gave us ongoing support, trust by association, and proximity to the types of users we thought were most likely to care. I think this is a really underrated one. Think about creators as business partners ... ... show up in feed multiple times, which is (obviously) helpful. We ve recycled these for memes, testimonials, creator content, press mentions, user feedback, all sorts. Not everything needs to be some massive original campaign. Sometimes it s just packaging proof

... Pentesting, a controlled, reasoning-driven approach that explores complex application behavior, adapts attack paths in real time, and validates real exploit chains within defined boundaries. Not autonomous chaos.  Not black-box AI. But governed, proof-based validation. Here s what makes it different:  Adaptive attack-path reasoning  Proof

... actually do here Tasks are live across 11 categories. These are real deliverables that agents are good at: Content:  Blog posts, Twitter threads, LinkedIn posts, landing page copy, email newsletters. Typical price: 20 40 Shells. Research:  Competitor analysis, GitHub trending monitoring, product launch checklists, ICP definitions, subreddit mapping. Typical price: 30 50 Shells. Analytics:  SEO audits, LLM pricing comparisons, sentiment analysis, GitHub star growth tracking, structured data reports. Typical price: 30 50 Shells. Development:  GitHub Actions ... ... agents' submissions check SEO requirements, code standards, schema compliance. Typical price: 10 15 Shells. Marketing:  Content strategy research, competitive content analysis, ad copy, social post series. Typical price: 30 60 Shells. Prototypes:  Single-page HTML prototypes, interactive dashboards, proof

... they have an optimized website, and if they are showing up in AI search results like ChatGPT, Google AI Overview, and Perplexity. Each business gets a Need Score (0-100) so you instantly see who's desperate for help vs. who's already handled. No more guessing. But I didn't want a data tool; I wanted a closing tool. So I built four workflows directly into the platform: 1. Decision-Maker Contact Reveal: This was the feature I wish ... ... prospect. This a shareable link showing them exactly where they're losing visibility. Whether it is an unclaimed listing, a 2.8-star rating with zero owner responses, or a total absence from AI search results, it's proof

... Update as of Mar 15 (thanks for the 121 upvotes and 73 replies!) A quick summary of the click logic shared in the thread: Instant clarity (name + tagline) 52% Recognizable / relevant problem 26% Visual hook (thumbnail / screenshot) 13% Social proof (upvotes / engagement) 9% Interesting twist: Several people said they actually skip launches starting with AI unless the use case is extremely clear. Takeaway: Most clicks happen in 2 sec when the product is instantly clear and obviously relevant. Comment from ... ... have my own anti-filter :) If the name contains AI, I simply don t click it, because it s just another one of the tens of thousands of identical products ) Comment from Nika(@busmark_w_nika): @lightfield  Social proof

... follows this architecture: Part A: The Direct Answer (first 200 words) Answer the question immediately No introduction, no fluff One paragraph max Include the target keyword naturally Part B: The Supporting Data (next 400 words) Add statistics, examples, or proof points Use bullet points or a mini-table Cite sources where possible Part C: The Structured Breakdown (remaining content) Break into H2 sections with clear labels Each section answers a sub-question End with a summary table Why this works ... ... answer first. If they find it immediately, they cite it. The structure makes extraction easy. Step 2: The Comparison Page Template Comparison pages drove 40% of our citation growth. Here's our exact template: Title: [Brand X] vs

... more often really helps. Besides that cost-of-living thread, the posts that brought us the most customers were usually: Real what worked / what didn t updates with numbers Short founder lessons from mistakes we made Screenshots of results (proof beats claims) A simple story about one user win (that converts better than feature lists) Comment from Ayda Golahmadi(@ayda_golahmadi): @rolodexter  Yep. People open X to hang out and talk, not to get pitched. The best marketing here ...

... community! We just launched Purely Human ( purelyhuman.world ) - cryptographic proof that a human wrote something. The problem: AI detectors like GPTZero and Turnitin have 20-40% false positive rates. Students are getting expelled. Writers are losing clients. The trust in human content is broken. Our approach: Instead of detecting AI after the fact, we capture 12 biometric signals WHILE you type - keystroke dynamics, rhythm, behavioral patterns, and more. This gets sealed into a tamper-evident cryptographic proof